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1 Northumbria University Newcastle Newcastle Business School – Marketing Operations, and Systems Department MSc Business Analytics Business Analysis of Marketing Strategies and Brand Management: Research Study of Airbnb in the United Kingdom Done by: Laith Darweesh – w22034498 Supervised By: Dr. Mohammad Fattahi Dissertation submitted in partial fulfillment of the requirements of the Master’s Degree in Business Analytics and Data Management
2 September 2023 Declarations I declare the following: (1) that the material contained in this dissertation is the end result of my own work and that due acknowledgment has been given in the bibliography and references to ALL sources be they printed, electronic or personal. (1) the Word Count of this Dissertation is ................................. (2) that unless this dissertation has been confirmed as confidential, I agree to an entire electronic copy or sections of the dissertation to be placed on the e-Learning Portal, if deemed appropriate, to allow future students the opportunity to see examples of past dissertations. I understand that if displayed on the e-Learning Portal it would be made available for no longer than five years and those students would be able to print off copies or download. The authorship would remain anonymous. (3) I agree to my dissertation being submitted to a plagiarism detection service, where it will be stored in a database and compared against work submitted from this or any other School or from other institutions using the service. If the service detects a high degree of similarity between content within the service, this will be reported back to my supervisor and second marker, who may decide to undertake further investigation that may ultimately lead to disciplinary actions, should instances of plagiarism be detected. (4) I have read the Northumbria/Newcastle Business School Policy Statement on Ethics in Research and Consultancy as detailed in The Newcastle Business School Masters Dissertation Guidelines and I declare that ethical issues have been considered, evaluated and appropriately addressed in this research. SIGNED*: _________________________________________ DATE: ____________________________________________
3 Acknowledgments I am Thankful to God for giving me the wellness, resilience, and determination to achieve this milestone in my academic journey. I would also like to take this opportunity to express appreciation to Dr.Mohammad Fattahi for supervising my academic progress as well as for providing me with all the assistance and support I needed to develop my academic skills. I would also like to extend my thanks to the academic staff at Newcastle Business School, led by the program leader Dr.Jing Tang, for her efforts to enhance my interpersonal and academic analytical skills during the program. To my dear friends, thank you for being my pillars of motivation and support throughout this journey. Your encouragement kept me going even during hard times. A special thank you goes to my beloved parents, especially to my father, whose belief in me from day one has been an immense source of strength. I am deeply grateful for the support and love I received from my mother and siblings as well. To everyone who believed in me and contributed to my growth, thank you from the bottom of my heart. Sincerely. Laith Darweesh
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4 Table of Contents Declarations ............................................................................................................................................... 2 Acknowledgments ...................................................................................................................................... 3 Abstract ...................................................................................................................................................... 5 CHAPTER 1: INTRODUCTION ............................................................................................................. 6 1.1. Opening Section ......................................................................................................................... 6 1.2. Research Background ................................................................................................................ 9 1.3. Research Objectives and Questions ........................................................................................ 11 1.4. Research Scope and Importance ............................................................................................. 12 1.5. Dissertation Structure ............................................................................................................. 14 1.6 Conceptual Framework ................................................................................................................. 15 1.7 Hypotheses ..................................................................................................................................... 18 CHAPTER 2: LITERATURE REVIEW ............................................................................................... 20 2.1 Airbnb and the increase of sharing economy ......................................................................... 20 2.2 Airbnb Business Model ........................................................................................................... 25 2.3 Airbnb Brand Management and Marketing Strategies ........................................................ 29 2.4 Research Gap ........................................................................................................................... 33 CHAPTER 3: METHODOLOGY .......................................................................................................... 35 3.1 Overview ......................................................................................................................................... 35 3.2 Research Design ............................................................................................................................. 36 3.3 Data collection ................................................................................................................................ 37 3.3.1 Survey Development ............................................................................................................... 37 3.3.2 Data Collection and Sampling ............................................................................................... 39 3.4 Data Preparation ........................................................................................................................... 40 3.4.1 Data Structure ......................................................................................................................... 40 3.4.2 Data Cleaning .......................................................................................................................... 40 3.4.3 Data Coding ............................................................................................................................. 41 3.5 Data Analysis .................................................................................................................................. 42 3.6 Ethical Considerations .................................................................................................................. 44
5 3.7 Limitations ..................................................................................................................................... 45 CHAPTER 4: FINDINGS AND RESULTS ........................................................................................... 46 4.1 Descriptive Analysis ....................................................................................................................... 46 4.2 Hypothesis Tests ............................................................................................................................. 49 4.3 Multiple Linear Regression ........................................................................................................... 50 4.4 Summary of Findings .................................................................................................................... 51 CHAPTER 5: DISCUSSIONS AND RECOMMENDATIONS ............................................................ 52 5.1 Discussions ..................................................................................................................................... 52 5.1.1 Demographics and Preferred Accommodation ..................................................................... 52 5.1.2 Hypothesis Tests: Influencing Factors on Accommodation Preferences ............................. 53 5.1.3 Regression Analysis: Impact of Marketing Strategies on Digital Marketing Success Ratings .............................................................................................................................................. 53 5.2 Recommendations .......................................................................................................................... 54 5.2.1 Targeted Marketing Strategies ............................................................................................... 54 5.2.2 Leveraging Digital Marketing Strategies .............................................................................. 54 5.2.4 Strengthening Airbnb Reputation ......................................................................................... 55 5.3 Implications and Future Research ................................................................................................ 55 CHAPTER 6: CONCLUSION ............................................................................................................... 57 6.1 Summary of Key Findings ............................................................................................................ 57 6.2 Implications and Significance ....................................................................................................... 58 6.3 Contribution to Knowledge and Future Research ...................................................................... 59 6.4 Limitations and Considerations .................................................................................................... 59 6.5 Conclusion ...................................................................................................................................... 60 References ................................................................................................................................................ 61
6 Abstract The hospitality industry has undergone a paradigm shift with the advent of the sharing economy, and Airbnb has emerged as a prominent disruptor, revolutionizing the way people travel and experience accommodations. This study delves into the branding and advertising strategies employed by Airbnb in the United Kingdom, with a focus on understanding the factors contributing to its success and identifying areas for potential improvement. Through a mixed- methods approach, this research explores the marketing tactics employed by Airbnb to establish and maintain its brand presence in the UK market. Primary data is collected through surveys and interviews with Airbnb customers and stakeholders, while secondary data is obtained from official company reports and academic literature.
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7 CHAPTER 1: INTRODUCTION 1.1. Opening Section The emergence and widespread adoption of digital platforms have brought about profound changes in various industries, fundamentally reshaping the operational strategies of businesses and greatly facilitating global travel. This has made it considerably easier for individuals to explore diverse cultures, as well as reconnect with friends or family residing in distant places. The opportunity to observe this technology has afforded us the ability to utilize a range of inventive resources that have transformed the concept of travel into one that appears contemporary, cost-effective, and attainable. Notably, this includes the availability of inexpensive air travel, which permits individuals to journey to foreign countries for a price equivalent to that of a meal consisting of a burger. Additionally, digital mapping applications have emerged as a solution to the difficulties encountered when navigating unfamiliar territories with diverse linguistic contexts, among other advantages. Amidst the many transformations, one notable development is the rise of the sharing economy, which has had a significant impact on several sectors. Airbnb, an innovative company in this domain, serves as evidence of this transformative phenomenon (Schor, 2016). Airbnb, a company founded in 2008 by Joe Gebbia, Nathan Blecharczyk, and Brian Chesky in San Francisco, California, has emerged as a very effective strategy within the hotel industry (Sherwood, 2018). Airbnb has emerged as a transformative platform that facilitates the connection between persons in search of accommodation and those who are prepared to provide their space for rent, resulting in a significant shift in people's housing choices. This innovative approach presented a new and distinct alternative to traditional hospitality services, marking a significant milestone in the hospitality sector. It reflects a growing trend among individuals who
8 are increasingly opting to rent accommodations that offer a sense of connection and proximity to local communities. This trend has disrupted the industry by facilitating peer-to-peer (C2C) interaction. This arrangement, which is mutually advantageous, enhances social connections and expands cultural comprehension via significant interactions with guests. Over the course of its existence, Airbnb has seen significant expansion, garnering global recognition and establishing a presence in more than 220 countries. Notably, the United Kingdom has emerged as a prominent market for Airbnb (Zervas et al., 2017). With a record- breaking number of over one billion stays (Airbnb, 2021) and a remarkable market value of $81.5 billion (Google Finance, 2023), the company has achieved unprecedented success. In addition, it is noteworthy that Airbnb achieved a substantial income of $8.4 billion in the year 2022, as reported by Statista Research Department in 2023. The notion of the sharing economy has garnered significant support and appeal among consumers due to its distinct emphasis on cooperation and sharing. The process of its development has been accelerated by developments in technology, the changing attitudes of consumers, and a transition towards sustainable consumption patterns (Hamari et al., 2016). The sharing economy, exemplified by platforms like as Airbnb, has had significant and fast uptake inside the United Kingdom, posing a formidable challenge to the conventional hotel business. The 2018 study on Airbnb in the United Kingdom provides significant insights into the substantial economic impact of Airbnb within the tourist industry in Britain. Based on the findings of the report, it has been observed that homeowners were able to generate a substantial amount of revenue, amounting to over 850 million pounds, through the rental of houses on Airbnb. Furthermore, the economic impact of guests and hosts combined reached a total of 3.5 billion pounds. It is noteworthy that a significant proportion, specifically 78% of Airbnb visitors,
9 utilize the platform with the intention of experiencing a more authentic local lifestyle, thereby facilitating a deeper immersion into British culture. Additionally, Airbnb clients are provided with a sense of familiarity and comfort akin to that of their own homes, even in foreign destinations (Moussa, 2018). The substantial influx of income has had a notable influence on the economic landscape of the Kingdom. According to Guttentag (2019), the United Kingdom market has emerged as one of the largest and rapidly growing markets for Airbnb. Notably, cities such as London and Edinburgh are prominently featured as leading attractions in this market. The significant expansion of Airbnb in the region may be attributed to the favorable regulatory environment in place, distinguishing it from other regions where Airbnb has faced significant legal obstacles (Farmaki & Kaniadakis, 2020). Nevertheless, Airbnb faces a multitude of hurdles in its trajectory. The need to maintain market leadership in the UK has been emphasized due to increasing rivalry and regulatory scrutiny, highlighting the importance of continuous innovation and reassessment of marketing tactics (Farmaki & Kaniadakis, 2020). Furthermore, the significance of brand management has been emphasized, as it impacts consumer decision-making and competitive positioning via the cultivation of a distinct and exclusive brand identity in contrast to competitors within the market. The aforementioned statement emphasizes the significance of Airbnb's dedication to maintaining and enhancing its brand image and reputation (Kotler et al., 2019). In conclusion, the advent of digital platforms has brought about significant transformations in the operational landscape of enterprises. Notably, the hospitality sector has had profound effects as a result of initiatives such as Airbnb. The fast growth of Airbnb has positioned it as a significant participant in the UK market. Nevertheless, in order to keep a
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10 competitive edge in an ever-changing environment, it is essential to maintain a sustained emphasis on brand management and use creative marketing strategies. 1.2. Research Background The implementation of a robust marketing plan is of paramount importance in facilitating the promotion of logical and organized expansion inside a firm. The use of this instrument proves to be advantageous in acquiring knowledge about rivals, identifying target audiences, comprehending the preferences and requirements of the company's clients, and formulating efficacious advertising plans. Furthermore, companies have the potential to optimize their return on investment (ROI) by strategically aligning their marketing endeavors with the preferences and needs of their target consumers (Banning, 2021). The proficiency in strategically promoting products or services to the appropriate target demographic at the optimal moment is of utmost importance for the sustained expansion and prosperity of any organization on a national and international scale. In contrast, brand management is a crucial element of marketing, functioning in conjunction with it to establish a meaningful relationship between a company and its clientele (Simplilearn, 2021). The objective of brand management is to cultivate a favorable brand image that cultivates trust and nurtures connections via the establishment of fundamental values and principles that differentiate the brand from its rivals. According to Grant (2023), it serves as the fundamental basis for cultivating customer loyalty and developing the brand's awareness and esteem. The interdependence of brand management and marketing can be likened to a symbiotic relationship, wherein brand management fosters trust, distinctiveness, and customer loyalty, while marketing devises strategies for efficient product or service promotion, ultimately leading to a favorable return on investment.
11 This research endeavor aims to investigate the effects of prior research, scholarly publications, articles, and interviews on the efficacy of marketing tactics and brand management within the context of Airbnb in the United Kingdom. By using data from accessible sources, the study seeks to identify deficiencies in current methodologies and provide remedies to address them. Furthermore, the collection and analysis of quantitative data will be conducted among clients of Airbnb in the United Kingdom. The examination of this data will provide valuable insights into the demographics of Airbnb users in the kingdom, as well as their attitudes and knowledge of the brand. Furthermore, this research aims to assess the efficacy of Airbnb's marketing strategies, shedding light on essential attributes such as customer loyalty, trust, security, affordability, and other pertinent factors. By doing so, we want to gain insights into consumer behavior patterns within the context of Airbnb and differentiate the firm from its rivals. The primary objective of this study is to provide actionable suggestions that may be effectively adopted by decision-makers at Airbnb. 1.3. Research Objectives and Questions Given the increasing competition within the sharing economy sector and the ongoing evolution of consumer behaviors, it is crucial to have a comprehensive comprehension of efficient marketing tactics and brand management methodologies. This comprehension is especially critical for a prominent site such as Airbnb. Against the aforementioned contextual framework, the primary objective of this research is to comprehensively examine the marketing techniques and brand management practices used by Airbnb within the United Kingdom market. The aim of this study is to get a deeper understanding of the existing procedures used by Airbnb, assess their efficacy, and identify new opportunities for improvement. The primary research question that guides this work is:
12 "What are the primary marketing strategies and brand management practices implemented by Airbnb in the UK, and how can they be fine-tuned to maintain competitiveness and assure continuous success?" Four objectives have been set below to fully address the main study topic, which are: 1. To conduct a fundamental analysis of Airbnb's overall marketing strategies in the UK market. This entails taking a deeper look into their strategies and procedures to understand how Airbnb attracts and retains customers in a competitive market. 2. The board practices in order to examine Airbnb's reputation. The key is to recognise how these practices enhance the company's reputation and image in the UK. This will reveal some details about how Airbnb differentiates itself in the crowded commercial district and a key driver for it in the personalities of consumers. 3. To recognise the factors influencing the success of Airbnb's marketing and branding in the UK. This includes looking into internal and external factors that might have an impact on how successfully or unsuccessfully Airbnb promotes itself. 4. To recommend important changes to Airbnb's branding and promotion, the executives practice in the UK. These suggestions, which will be based on the exploration's findings, will likely optimise Airbnb's subsequent marketing initiatives and brand-building strategies. The study's overall goal is to comprehensively evaluate Airbnb's branding and marketing strategies in the UK. It seeks to highlight what functions admirably and highlight places in need of major improvement.
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13 1.4. Research Scope and Importance This research project has considerable significance owing to its ability to make large contributions to the theoretical comprehension and practical implementation of marketing strategies and brand management used by Airbnb in the United Kingdom. The significance of this relevance is especially evident within the framework of the sharing economy and the hotel business, both of which are experiencing fast digital development. The present study has the potential to significantly contribute to the academic discourse around the sharing economy by addressing current gaps in the literature. Despite the increasing significance it has gained, the sharing economy, exemplified by disruptive platforms such as Airbnb, continues to be a subject of little scholarly investigation (Mody, Suess, & Dogru, 2019). Academic studies have not yet properly investigated the distinct environment and issues that such organizations bring for marketing and brand management (Farmaki & Kaniadakis, 2020). By directing attention on these specific components, this study has the potential to provide new perspectives into these domains, so enhancing the scholarly body of knowledge on the topic. The report provides a comprehensive analysis of Airbnb's marketing methods and brand management procedures, with a particular focus on this specific organization. Airbnb has significantly impacted the worldwide hospitality industry via its innovative and disruptive business model (Zervas, Proserpio, & Byers, 2017). Nevertheless, there is a lack of comprehensive scholarly understanding about how Airbnb has effectively used marketing strategies and brand management to have a significant influence, particularly in specific regions such as the United Kingdom (Dolnicar, 2019).
14 The primary objective of this study is to address the existing research gap and provide significant contributions to the field. From a practical standpoint, the study findings have the potential to provide significant and useful insights that may be effectively used by Airbnb and similar organizations operating within the sharing economy. The findings have the potential to provide valuable insights for Airbnb, enabling the company to refine its marketing efforts and enhance its brand management processes. This, in turn, might strengthen its competitive advantage within the highly competitive UK market. Furthermore, it is worth noting that other platforms within the sharing economy sector have the opportunity to learn from Airbnb's experiences and apply these valuable insights to their own distinct business environments. Furthermore, the findings has significant significance for policymakers and regulators. The rise of the sharing economy has brought forth new issues in the realm of regulation and policy development (Cohen & Sundararajan, 2015). A deeper comprehension of the methods and methodologies used by Airbnb may provide these stakeholders with essential knowledge as they navigate the intricate endeavor of cultivating an equitable and competitive market environment. In brief, this study has the capacity to impact several domains, including academics, enterprises operating inside the sharing economy, and policymakers. This statement highlights the significance and pertinence of comprehending marketing tactics and brand management techniques within the swiftly changing realm of the sharing economy. This study offers a diverse and comprehensive contribution, augmenting the existing theoretical framework, providing insights for corporate strategies, and impacting policy development, thereby solidifying its significance within the area. 1.5. Dissertation Structure 1 st Chapter o Background on Airbnb, the sharing economy, and the UK market
15 Introduction (1500 words) o Outlines the study's goals and research question. 2 nd Chapter Theoretical Background (4000 words) o Investigate the existing literature, research studies, and reports that have explored the sharing economy approach, marketing strategies, indicators, and brand image management. o Identify Research gaps in current literature and attempt to solve them through analytical work. 3 rd Chapter Methodology (2500 words) o Explain the research's methodological approach including the design of the study, data collection techniques, sample techniques, and data analysis procedures. o Moral contemplations engaged with leading the examination will likewise be featured. 4 th Chapter Data Analysis and Findings (4500 words) o Primary data that was gathered for the research are given a thorough analysis will provide a methodical interpretation of the findings and discussed in relation to the questions and objectives of the research. o The Data will be analysed and tested through hypothesis approaches through the use of various software like RStudio, SPSS, and Excel. 5 th Chapter Discussions and Recommendations (1500 words o The research-based analysis of Airbnb's brand management and marketing strategies is presented in relation to the findings. We'll explore how the findings relate to theory and application. 6 th Chapter Conclusion (1000 words) o This chapter will outline the key findings, responds to the research question, and offers recommendations for Airbnb regarding its marketing strategies and brand management practices in the United Kingdom in addition to the future work that could complement this research.
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16 References and Appendices o References section will list all sources cited in the dissertation and appendices will provide any supplementary material related to the research. 1.6 Conceptual Framework Conceptual Framework The conceptual framework behind this research is based on the convergence of marketing strategies, brand management, and the sharing economy, specifically within the operational framework of Airbnb in the United Kingdom. The framework incorporates essential theoretical ideas and constructs in order to provide a full comprehension of how Airbnb's marketing tactics and brand management practices contribute to its success and competitiveness within the hospitality industry of the United Kingdom. 1. Marketing Strategies in the Sharing Economy : This segment of the framework delves into the underlying concepts of marketing tactics, with a specific emphasis on their significance within the context of the sharing economy. The analysis explores many principles like market segmentation, targeting, positioning, and the marketing mix, which have been tailored to suit the distinctive attributes of the sharing economy and Airbnb's specific business model. 2. Brand Management in the Sharing Economy : This factor underscores the importance of brand management in molding customer perceptions and cultivating brand loyalty within the sharing economy. The subject matter encompasses several notions pertaining to brand identification, brand equity, brand distinctiveness, and the establishment of an emotional connection between consumers and businesses. 3. Impact of Marketing Strategies on Brand Image : This segment investigates how Airbnb's marketing strategies influence its brand image and reputation in the UK market.
17 It examines how the marketing efforts, including advertising, social media engagement, and customer interactions, contribute to building a strong and distinct brand identity for Airbnb. 4. Consumer Behavior and Preferences : Within the sharing economy context, this aspect delves into consumer behavior and preferences in the UK when it comes to choosing accommodations through platforms like Airbnb. It considers factors such as the desire for unique experiences, cost-effectiveness, cultural immersion, and the role of online reviews and recommendations. 5. Regulatory Environment and Competitive Landscape : Recognizing the evolving regulatory landscape and increasing competition, this component explores the impact of regulations on Airbnb's marketing strategies and brand management practices in the UK. It also assesses how Airbnb positions itself amidst competitors and adapts its strategies to maintain a competitive edge. 6. Innovation and Adaptation : This dimension highlights the importance of innovation and adaptability in Airbnb's marketing strategies and brand management. It examines how Airbnb continuously evolves its offerings, services, and communication approaches to align with changing consumer expectations and market dynamics. 7. Value Proposition and Customer Experience : Central to this framework is the exploration of how Airbnb's marketing strategies and brand management contribute to creating a unique value proposition and enhancing the overall customer experience. It assesses the ways in which Airbnb satisfies customer needs and differentiates itself from traditional hospitality options.
18 8. Continuous Improvement and Recommendations : The final component of the framework focuses on deriving insights from the research findings to propose recommendations for Airbnb's future marketing strategies and brand management efforts in the UK. It draws from the analysis of current practices, customer perceptions, and market trends to suggest actionable steps for sustaining and enhancing Airbnb's success. By integrating these interconnected components, the conceptual framework provides a holistic understanding of the interplay between marketing strategies, brand management, and the sharing economy in the context of Airbnb's operations in the United Kingdom. This framework serves as the guiding structure for the subsequent chapters of the dissertation, enabling a systematic exploration of each element to answer the research objectives and address the central research question. 1.7 Hypotheses 1. Hypothesis 1: Airbnb's sharing economy model leads to higher customer satisfaction compared to traditional hospitality options in the UK/ 2. Hypothesis 2: Airbnb's marketing strategies and brand management positively impact consumer perception and loyalty in the UK market. 3. Hypothesis 3: Privacy and safety concerns negatively impact consumer trust in using Airbnb's platform in the UK. 4. Hypothesis 4: Airbnb's efforts to address privacy and safety concerns positively influence consumer trust in the platform.
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19 CHAPTER 2: LITERATURE REVIEW 2.1 Airbnb and the increase of sharing economy The sharing economy has undergone significant adaptation and incorporation into individuals' daily existence, predominantly because of the growing use of internet technology and big data. This transformation has resulted in significant changes in consumer behavior, allowing for improved access to products and services and optimizing extant resources across a variety of industries. Amazon, Uber, and JustEat, among others, have ardently embraced the dynamic socioeconomic ecosystem of the sharing economy. Utilizing digital platforms, these businesses offer consumers a vast array of goods and services, such as transportation and dining Table 1: Dissertation Structure
20 options, with simplicity and adaptability to meet their customers' needs, thereby positively affecting the economic, environmental, and social aspects of the community. The interconnected nature of the Sharing Community and the implications of the sharing economy have established a complementary relationship that significantly influences consumer behavior patterns. This influence has made it easier to implement e-commerce and lifestyle trends, making them more accessible and efficient. In light of this paradigm shift, both businesses and consumers must have a thorough comprehension of the fundamental mechanisms and consequences of the sharing economy. This comprehension not only facilitates the creation of logical marketing analyses, but also aides in the effective planning of marketing campaigns. This comprehensive comprehension should include essential elements such as trust, privacy, collaboration, and accessibility. In contrast, by effectively implementing these elements, businesses can increase consumer loyalty on sharing economy platforms. In addition, acquiring insights into the efficient provision of shared economic services that are of high quality and reasonably priced for multiple consumers can create a distinct, recognizable brand image that resonates with consumers. Originally conceived as a utopian concept, sharing and cooperation have evolved into a flourishing multibillion-dollar industry, as evidenced by the phenomenal growth of companies such as Uber and Airbnb. This sector has experienced an extraordinary increase from $14 billion in 2014 to an estimated $335 billion by 2025, demonstrating its robust growth and transformative potential across a variety of industries. In a recent interview, Christopher Nassetta, the president and CEO of Hilton, acknowledged the profound impact of the sharing economy on the travel industry, democratizing access to diverse demographics. This is illustrative of this transformation. He emphasized that while Airbnb may be perceived as a competitor to some degree, a closer look
21 reveals that it satisfies a distinct customer need, distinguishing it from conventional hospitality services. Individuals and communities have reaped numerous technological, social, environmental, and economic benefits from the sharing economy's phenomenal expansion. By effectively utilizing existing resources to generate profit, this model promotes more efficient resource allocation, driven by competitive market forces that consider supply and demand dynamics from diverse regions, promoting resource and financial conservation by emphasizing rental-based access, thereby reducing unnecessary purchases, and promoting sustainability through the promotion of reuse and the reduction of industrial pollution by encouraging more sustainable consumption. In addition, the sharing economy facilitates the generation of additional income for individuals by allowing remote participation from any location with Internet access, thereby enhancing overall efficiency and accessibility via intelligent devices. The defining characteristic of the sharing economy is that it enables consumers to make informed judgments about the quality and cost of available goods and services. This autonomy facilitates the optimization of options in accordance with individual preferences and requirements. The expansion of the sharing economy can be attributed in part to a shift in societal values, in which experiences are increasingly valued over possessions and sustainability principles are accorded great importance. These evolving cultural norms and attitudes have played a crucial role in propelling the expansion and adoption of the sharing economy across a variety of industries. As individuals place a greater emphasis on meaningful experiences and environmental awareness, their propensity to participate in the sharing economy as a viable and socially responsible alternative to conventional consumption practices increases.
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22 Academics have extensively investigated the sharing economy using a variety of theoretical frameworks, but the sociocultural framework stands out. This perspective examines how economic sharing practices contribute to the development of social capital and nurture community development. The socio-cultural perspective seeks to explain the complex mechanisms by which resources and services are shared within communities, resulting in increased economic interactions and the formation of strong social ties, trust, and a sense of belonging among community members. On the other hand, economic theories have been instrumental in assisting academicians to comprehend how sharing platforms impact traditional marketplaces and how consumers interact with shared economy purchases. These theories have also proven useful for comprehending how customer behavior, pricing strategies, and competitive dynamics are affected by the creation and expansion of sharing economy platforms, which creates intense competition with existing business models; researchers have also investigated how resource sharing in the sharing economy sector affects participant resource allocation, pricing transparency, and market efficiency. The significance of the sharing economy has prompted heated debates and discussions about laborer rights, job security, and consumer and provider safety. Similarly, it has had a substantial effect on how labor is performed. The authorities' interest in this phenomenon has necessitated the examination and evaluation of numerous social and economic labor-related aspects. In addition, regulatory issues have emerged as a result of the complexity of these innovative business models, for which authorities require assistance. Fair competition-related ethical issues have dominated these discussions. People who still work in traditional economic sectors are concerned about job security and contract worker rights, despite the flexibility that the contingent economy provides. In addition, the rising demand for short-term rentals made possible by websites such as Airbnb
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23 has been criticized for driving up housing costs in certain regions. Due to this expansion, tensions have developed with the local population and more established lodging businesses, such as hotels. These issues have prompted an examination of the effects of the sharing economy on local housing markets and communities. Similarly, the sharing economy, like other aspects, has significant repercussions in numerous fields. Environmental scholars have exhaustively examined the potential environmental benefits and drawbacks of the sharing economy, taking into account its impact on resource conservation, sustainable consumption practices, and waste reduction encompassing diverse aspects such as the use of food, water, and energy. Psychological research has explored the underlying motivations and cognitive processes that contribute to the satisfaction of individuals with the sharing economy. Each of these scholarly endeavors provides essential and exhaustive insights into the dynamic and ever-changing sharing economy landscape. These insights provide valuable guidance for formulating company strategies and informing societal responses to this economic phenomenon, thereby defining the ethos and identity of the involved businesses. Airbnb has received both acclaim and criticism for its impact on the hospitality industry, allowing travelers access to distinctive accommodations. In addition, it has been scrutinized for its effects on housing markets, community dynamics, and the commercialization of private residences. As the sharing economy continues to evolve, striking a balance between promoting economic development and ensuring ethical and sustainable practices is becoming increasingly important. To attain this equilibrium, collaboration among industry representatives, policymakers, and the larger community is essential. To protect the interests of customers and employees while fostering healthy competition and innovation, regulation must be well-
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24 considered. Priority must be given to emphasizing ethical business practices, environmental sustainability, and community engagement. Platforms such as Airbnb and the sharing economy represent more than a passing fad; they represent a profound paradigm shift that requires cautious consideration and thorough comprehension. The sharing economy is a complex topic that necessitates in-depth research. By examining Airbnb's marketing and brand management strategies in the UK market, we can obtain valuable insight into successful platforms for the sharing economy. This investigation is essential for developing robust marketing strategies and brand images, as they are predicated on a comprehensive comprehension of shared company criteria. Ultimately, the purpose of this study is to contribute to a broader discourse about this economic phenomenon by enhancing our comprehension of the sharing economy's transformative effect on businesses, consumers, and policymakers. 2.2 Airbnb Business Model Airbnb's business model deviates from conventional norms by involving visitors, hosts, employees, shareholders, professional photographers, tour guides, insurance companies, cleaners, and communities. Airbnb, a prominent symbol of the sharing economy, challenges established conventions and catalyzes economic system transformations by bridging the gap between individuals seeking short-term accommodations and those offering spare spaces for rent — typically private individuals or property owners known as "hosts" (Rahman, 2022). Airbnb, as a digital counterpart to the traditional bed-and-breakfast model, facilitates interactions between hosts and visitors, who are frequently strangers, via an accessible and user-friendly digital interface (Guttentag, 2015). At the foundation of Airbnb's business model is the peer-to-peer (P2P) concept, which defines the sharing economy. As an intermediary for short-term rental
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25 transactions between hosts and visitors, Airbnb acts as an aggregator and does not own any properties. Instead, the platform generates income from service fees charged to hosts and visitors for each booking transaction. The fixed fee levied to hosts is 3% of the total booking cost. In addition, visitors are charged a percentage of their reservation fee, typically between 5 and 20 percent, based on the length of their stay, location, and total cost. As a significant aspect of its brand identity, the company must communicate the affordability of its offerings. The value proposition of Airbnb serves both visitors and hosts. It provides visitors with distinctive and cost-effective accommodations and experiences, often at more affordable rates than conventional hotels. On the other hand, hostesses are attracted by the value proposition that includes income generation, streamlined hosting processes, and a focus on safety, which addresses a critical concern. In addition, Airbnb's platform enables guests and hosts to engage in mutually beneficial experiences, fostering opportunities for cultural immersion and connection with diverse communities, distinguishing itself from conventional lodging options, and providing guests with a vast array of options that accommodate a variety of budgets and preferences. Airbnb's strategy is intricately interwoven with innovative elements of the sharing economy, which fuels the company's continuous expansion and the introduction of novel incentives. This success has provoked revolutionary changes in the hotel industry and spurred vital discussions about digital ownership, community, trust, and consumption. The complete extent of Airbnb's impact on the tourism industry, housing markets, urban landscapes, and society remains the subject of ongoing research and analysis. Therefore, persistent efforts are required to fully comprehend the long- term effects of Airbnb's operations and expansion. The company's initiatives to promote
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26 authentic travel experiences demonstrate its commitment to advancing ethical tourism and hospitality. In addition, Airbnb has expanded its market presence by introducing Airbnb Luxury, which provides its customers with luxury accommodations, and by collaborating with real estate developers and landlords through the Airbnb Plus program. To uphold transparency and impartiality in its ecosystem, Airbnb maintains a stringent policy regarding visitor evaluations. It prohibits visitors from concealing negative evaluations to hosts. In the event of a dispute, review removal requires proof that the visitor violated Airbnb's content policy. For example, if a visitor demands payment in exchange for a positive review or discloses the precise location of the listing against the wishes of the host, such actions qualify as grounds for review removal. The company follows a consistent procedure for follow-up, evaluating each case individually and determining the possibility of a refund based on the circumstances. The brand's image and credibility are bolstered when it demonstrates transparency to its audience in managing such issues. In addition, landlords can rate visitors with complete candor and transparency, backed by Airbnb's endorsement and suggestions. Airbnb emphasizes the importance of high-quality accommodation images, requiring that they be at least 1024px x 683px, in order to increase the platform's appeal. Systematically, duplicate or inadequately framed images are removed from the website. However, despite efforts to maintain quality, complaints regarding incongruous accommodation photos have been documented on the Airbnb community website, posing a challenge for the company in establishing its unique market position. Addressing these concerns and employing effective marketing strategies are crucial for Airbnb to differentiate itself and increase its market value. Airbnb's disruptive force derives from its adept use of technology to revolutionize perceptions of lodging, travel, and the sharing of
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27 personal space. By capitalizing on the underutilization of assets, the company challenges conventional hospitality industry paradigms. By adopting an asset-light business model, Airbnb accomplishes rapid scalability, decreased overheads, and a larger customer base, thereby strengthening its profoundly disruptive impact (Cohen & Sundararajan, 2015). However, despite its success, Airbnb confronts significant regulatory obstacles in numerous cities around the world. In urban areas, authorities have expressed concern over neighborhood disturbances, zoning violations, and issues associated with gentrification and housing availability (Lee, 2016; Wachsmuth & Weisler, 2018). In addition, the platform has witnessed a trend toward "professionalisation," with a growing number of hosts listing multiple properties for rent, a departure from the original home-sharing concept (Ikkala & Lampinen, 2015). As the company's primary revenue source, Airbnb's position within the sharing economy and its broader effects on housing and related industries are subject to scrutiny in light of these developments. Despite these obstacles, Airbnb has displayed remarkable resilience and adaptability in its business operations. The company has engaged in proactive dialogues with communities and regulatory bodies, collaborating to exchange data and implement policies that ensure compliance with local regulations (Martineau, 2019). Privacy, data sharing, the efficacy of the review and rating system, and the implementation of safety measures for hosts, visitors, and surrounding communities are crucial considerations. Transparent and inclusive policies are necessary for addressing issues related to women's safety and the experiences of individuals with diverse sexual orientations. Reports, such as the one published by the BBC, highlight instances in which a host faced discrimination based on his sexual orientation and HIV status, as well as numerous other cases in which hosts refuse to rent to certain individuals based on their gender orientations, highlighting the need for transparent
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28 and inclusive policies. Airbnb has introduced initiatives that promote authentic travel experiences, emphasizing a commitment to responsible tourism and hospitality. In addition, by entering the luxury market with Airbnb Luxury and forming partnerships with real estate developers and landowners through the Airbnb Plus program, the company seeks to improve the quality of its accommodations and the customer experience. Despite the complexities and ongoing debates surrounding its operations, Airbnb's unwavering success has already brought about significant changes in the hotel industry. As a result, it has prompted crucial conversations about digital ownership, community engagement, trust, and consumption. However, the extent of Airbnb's impact on the tourism industry, housing markets, urban landscapes, and society is still the subject of ongoing research and analysis, necessitating continued efforts to comprehend its long-term effects in their entirety. 2.3 Airbnb Brand Management and Marketing Strategies The foundation of a prospering business is the effective implementation of marketing strategies and brand management practices, which enables it to effectively communicate with its target audience. The extraordinary success of Airbnb, a pioneering participant in the sharing economy, exemplifies this premise. The exponential growth and competitive advantage of Airbnb can be attributed to its strategic marketing positioning and carefully crafted brand image. In order to replicate Airbnb's success, comparable businesses can improve their strategies by relying on relevant marketing and branding theories and extant research. A comprehensive understanding of the company's audience, including their preferences, brand perception, and awareness of marketing campaigns, is essential for making informed decisions and optimizing marketing strategies. The use of historical data enables businesses to employ predictive analysis techniques, such as time series and clustering, which facilitates a greater comprehension of audience trends
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29 and behavioral patterns. These invaluable insights enhance marketing strategies, pricing, service development, customer management, competitor analysis, and audience satisfaction rates. Moreover, these logical approaches extend to branding decisions, guaranteeing efficiency in decision-making, thereby resulting in long-term cost reductions and accelerated return on investment. Marketing strategies consist of exhaustive and all-encompassing plans that guide promotional and sales initiatives, encompassing essential elements such as product offerings, pricing strategies, distribution channels, and the promotional blend. Successful execution of these strategies depends on aligning business objectives with market demand and consumer preferences, thereby optimizing the probability of achieving favorable results. To further enhance this optimization, businesses employ a combination of online and offline marketing techniques and undertake in-depth, targeted marketing research. Such research facilitates the comprehension of current market conditions, the identification of suitable service offerings, and the development of effective customer satisfaction strategies, all of which are essential components of an efficient marketing budget allocation. Adopting both E-marketing and traditional marketing strategies, such as cost dominance, differentiation, and focus, enables businesses to increase their profitability within a reasonable timeframe while remaining aligned with their target consumer segments. A profound comprehension of consumer needs and desires enables businesses to develop appropriate products and communicate relevant information, thereby cultivating brand loyalty and establishing a brand image associated with value, efficiency, and a distinct vision and mission. Ultimately, these strategic endeavors improve the quality of people's lives, strengthen the company's market position, and foster long-lasting and meaningful client relationships.
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30 Porter's Generic Strategies, formulated by Michael E. Porter in 1985, is prominent among the multitude of theoretical frameworks used to comprehend marketing strategies. This model presents three overarching competitive advantage strategies: cost leadership, differentiation, and concentration. The cost leadership strategy entails providing products or services at the lowest cost in the industry, whereas differentiation focuses on providing distinctive and high-quality products, thereby enhancing the effectiveness of brand management. Concentration strategies target narrowly defined market segments. Despite the fact that this theory can provide valuable insights to businesses seeking a competitive advantage, it tends to oversimplify the complexities inherent in real-world situations. In the context of Airbnb's operations in the United Kingdom, while differentiation through the provision of distinct experiences remains advantageous, cost leadership may also be warranted to broaden its allure to a larger audience. Innovation must be prioritized in order to maintain a competitive edge in the dynamic sharing economy. Nevertheless, it is important to recognize that Porter's Generic Strategies may need to account for rapid shifts in market dynamics and disruptive technological developments. As a result, Airbnb in the United Kingdom must prioritize continuous market research in order to identify emergent trends and adapt its strategies accordingly. In addition, adopting a customer-centric strategy, personalized offerings, and sustainable business practices can further strengthen Airbnb's position in the intensely competitive marketplace. The company's effective application of the differentiation strategy, as exemplified by its provision of distinctive private short-term rentals that provide a home-like atmosphere, distinguishes it from conventional hospitality options. Recent reports, however, indicate a shift in Airbnb's emphasis from marketing research to brand management, with reduced marketing research expenditures and a greater emphasis on leveraging the brand's
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31 strength to attract guests. To avoid negative perceptions and ensure long-term success, Airbnb must sincerely resolve environmental, safety, and inclusivity concerns in order to avoid attracting socially conscious consumers and fostering their loyalty. In addition, Igor Ansoff's 1957 Ansoff Matrix provides a framework outlining four strategic directions for business growth: market penetration, product development, market development, and diversification. Airbnb's initial phase of rapid expansion coincided with market growth as the company expanded its platform across multiple countries, thereby increasing its customer base (Rahman, 2022). The Ansoff Matrix, a commonly used instrument for business growth, may not completely correlate with Airbnb's unique model in the UK. This model fails to completely capture Airbnb's success, which is propelled by its strong brand reputation and user experience, as it concentrates primarily on product-market expansion. In addition, the Ansoff Matrix may not effectively resolve certain obstacles Airbnb faces, such as regulatory issues. A reliance solely on brand strength may overlook important consumer trends. To succeed in the UK market, Airbnb must adopt a more tailored and specialized strategy that incorporates responsible expansion, brand management, and continuous market research. Airbnb's brand management in the United Kingdom is of the uttermost importance, as it substantially influences consumers' perceptions of the company. Airbnb has effectively established a brand identity centered on community and cultural experiences, but it confronts challenges relating to safety concerns and privacy issues, which may have a negative effect on its brand reputation. Airbnb must conduct extensive research on consumer preferences and adapt its brand strategy accordingly in order to remain competitive. Keller's Brand Equity Model, which is renowned for elucidating the concept of brand management, outlines crucial steps for constructing robust brand equity. These phases include building brand awareness, establishing a
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32 distinct brand personality and value proposition, eliciting positive consumer responses, and cultivating strong brand-consumer relationships. This model may require additional considerations, such as addressing cultural sensitivity and awareness, to create a genuinely unique and pertinent brand. In addition, Aaker's Brand Identity Model provides an additional useful theoretical framework that highlights four dimensions of brand identity: brand as a product, brand as an organization, brand as a person, and brand as a symbol. In the case of Airbnb, its brand identity correlates primarily with the "brand as a person" perspective, as the company nurtures a sense of community and belonging, leading customers to perceive Airbnb as a corporate entity and a platform offering unique, personalized experiences. Airbnb's successful marketing strategies and brand management have resulted in a strong and recognizable brand identity that resonates with consumers global. However, complacency could impede the dynamic and competitive industry's continued expansion. Airbnb must continuously evaluate and improve its marketing strategies and brand management practices to remain competitive in light of the changing environment, shifting consumer behaviors, technological advancements, and heightened competition. Airbnb's marketing success in the UK will be contingent on its ability to address environmental concerns, local partnerships, cultural awareness, brand awareness, customer awareness, safety, privacy, economic fluctuations, and the leadership of competitors. Airbnb's success tale provides invaluable lessons for businesses operating in the sharing economy and beyond. Effective marketing strategies and brand management are essential for sustaining a company's competitive advantage and development. As Airbnb navigates the ever- changing business landscape, learning, adapting, and innovating will be crucial for the company's sustained success. Airbnb's voyage illustrates the significance of marketing strategies
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33 and brand management in a business environment that is constantly evolving. Airbnb's market position will be strengthened by emphasizing diversity, inclusiveness, adapting to regulatory challenges, continuous market research, global expansion, and cultural sensitivity. 2.4 Research Gap Much research has been conducted to explore the marketing strategies and brand management practices implemented by numerous businesses, including Airbnb. These practices have proven instrumental in achieving milestones and reaching break-even points efficiently, thanks to their adoption of marketing analytical approaches and evidence-based marketing research. These approaches have enabled organisations to serve, advertise, and sell their services logically and informally. However, despite the existing body of research in this area, the investigation has identified a notable research gap that requires further attention and exploration in the following points : Customer Satisfaction and Service Quality in the Sharing Economy: The study briefly mentions Airbnb's value proposition for visitors and hosts. However, especially when compared to conventional hospitality options, it needs to thoroughly analyse customer satisfaction and service quality in the sharing economy. In order to understand the strengths and shortcomings of sharing economy platforms in terms of living up to customer expectations, it is helpful to evaluate user experiences, feedback, and service standards. Marketing Strategies and Brand Management in the Sharing Economy: While the research mentions Airbnb's marketing strategies and brand management, it falls short of a thorough examination of the specific marketing strategies used to evaluate consumer perception of the brand, the marketing techniques and approaches used by Airbnb in the United Kingdom, and the effectiveness of various branding strategies. A thorough analysis of how sharing economy
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34 businesses create and manage their brand identities, differentiate themselves in the market and draw in and keep clients is required. Also, it is essential to investigate factors like cultural engagement and communication and other factors like similarity, trust, privacy, sustainability and cost. Consumer Privacy and Trust in the Sharing Economy: The study discusses essential topics, including consumer privacy and trust in the sharing economy, which are crucial for both guests and guests. The elements that affect customer trust and the privacy issues raised by sharing private locations with strangers should be covered in more detail. Platform operators and governments would benefit much from understanding customer perceptions, experiences, and expectations about privacy and trust adopted by Airbnb in the UK. CHAPTER 3: METHODOLOGY 3.1 Overview This dissertation's third chapter describes the research methodology employed for this study, a crucial element integral to accomplishing the stated research objectives. In academic research, the methodological framework used to collect and analyze data is crucial, as it demonstrates its
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35 reliability and validity (Creswell, 2014). It determines how the research questions will be answered and provides a road map for the study (Saunders, Lewis, & Thornhill, 2015). This chapter will elucidate on the research design, data acquisition, and analysis methods. The research design will elaborate on the rationale for the chosen research methodology, highlighting its relevance and suitability to the study's objectives. As the purpose of this study is to identify patterns and derive inferences from collected data, it is crucial to employ a method that enables exhaustive and accurate data collection. Due to its widespread acceptability and adaptability, the JISC Online Survey instrument was chosen as the data collection instrument (Smith, 2017). In addition, a summary of data preparation, with an emphasis on data cleansing and classification, will be presented to ensure the data's accuracy and preparedness for analysis. Subsequently, the section on data analysis will employ a variety of statistical techniques, including descriptive analysis, correlation, and regression. These statistical tools are essential for summarizing, interpreting, and predicting data relationships, thereby facilitating the comprehension of intricate patterns within the collected data (Field, 2018). Ethical considerations and potential limitations of the selected methodologies will be addressed throughout the chapter. Understanding and recognizing these aspects is essential to guarantee the responsible conduct of research and the credibility of the results (Resnik, 2015). In conclusion, this chapter provides a solid methodological foundation for this research, allowing for a thorough analysis of Airbnb's marketing strategies and brand management and ultimately guiding the conclusions and recommendations. 3.2 Research Design This study employs a quantitative research design, which is useful for testing objective theories by investigating the relationship between variables (Creswell, 2009). This method was
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36 chosen due to its ability to provide numerical data that can be translated into usable statistics, thereby meeting the objectives of the study. The purpose of this study is to quantify the impact and efficacy of Airbnb's marketing strategies and brand management, which can be determined through various statistical analyses. In contrast to qualitative research, which is frequently exploratory and seeks to delve deeply into subjective experiences, perceptions, or motivations (Denzin & Lincoln, 2011), a quantitative approach is appropriate for this study because it seeks to examine quantifiable variables associated with Airbnb's marketing and branding strategies. All of these metrics, including customer retention rates, brand awareness scores, and market share, can be statistically analyzed for patterns, trends, and correlations. The study is classified as explanatory research because it endeavors to identify causal relationships between variables, as opposed to merely describing or investigating them (Salkind, 2010). The purpose of this analysis is to determine how particular marketing strategies and brand management practices impact Airbnb's success. This requires determining if and how various strategies affect the firm's performance and consumer perceptions, two areas where the quantitative, explanatory approach is particularly effective. A crucial aspect of this research design is the collection of secondary data from a variety of reputable sources. Secondary data is a cost-effective and time-efficient method for acquiring a large data set. In addition, secondary data will provide access to comprehensive information from a diverse range of Airbnb customers and markets in the context of this study (Johnston, 2017). Within the purview of this study, it would be difficult to replicate this extensive reach using primary data acquisition methodologies. In addition, the use of inferential statistical methods, such as regression and correlation analysis, permits the identification of relationships between variables (Field, 2018). This allows us to infer whether a change in one factor (e.g., marketing strategy) may affect another (e.g.,
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37 market share or brand recognition). These inferential methods are complemented by the descriptive analysis, which summarizes the data and provides a clear overview of the variables (Pallant, 2016). In conclusion, given the objectives of this study, the quantitative, explanatory method is the most appropriate research design. The method permits a thorough, objective analysis of measurable variables, enabling the identification of potential causal relationships that are essential to comprehending Airbnb's marketing strategies and brand management's effectiveness. 3.3 Data collection 3.3.1 Survey Development This study's survey was produced using JISC Online Surveys, an online survey application that enables the construction and distribution of customized online surveys (Bristol Online Surveys, 2018). JISC Online Surveys was selected due to its user-friendly interface, comprehensive functionality, and advanced data security measures, all of which are essential when managing sensitive participant data (Sax, Gilmartin, & Bryant, 2003). The survey was designed to elicit responses that correlate with the research objectives of determining the effectiveness of Airbnb's brand management and marketing strategies. As a result, the survey included questions ranging from broad demographic inquiries to more specific inquiries regarding respondents' interactions with Airbnb. To evaluate the success of Airbnb's marketing strategies, for instance, queries pertaining to customer retention, such as frequency of use and likelihood to recommend Airbnb, were incorporated (Zikmund, Babin, Carr, & Griffin, 2010). To evaluate the brand management aspect, brand awareness and perception questions were included. Respondents were asked about their awareness of Airbnb, their perception of the brand, their recommendations for Airbnb's marketing strategy in the United Kingdom, and their
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38 emotional connection to the brand. Important metrics for evaluating Airbnb's brand management (Keller, 2013) are brand equity and brand identity, which are measured by these types of queries. To avoid guiding respondents toward specific responses, all queries were formulated in a straightforward and neutral manner (Dillman, Smyth, & Christian, 2014). Closed-ended questions, such as multiple-choice and Likert scale queries, were used to facilitate the quantitative analysis of the data. The use of JISC Online Surveys allowed for the distribution of this survey to a large population, thereby capturing a thorough comprehension of how Airbnb's marketing strategies and brand management are perceived by diverse consumer segments. In this research, the survey instrument included a variety of question types to assess participants' perceptions of Airbnb's brand management and marketing strategies. The questionnaire contained closed-ended questions, such as multiple-choice and Likert scale items, which facilitated quantitative analysis by designating numerical values to respondents' responses. In addition, open-ended questions were used to collect qualitative data. The estimated completion time for the questionnaire was between 10 and 15 minutes, ensuring a balance between data richness and participant engagement. Ethical considerations were of the utmost importance throughout the research procedure. The study obtained approval from the appropriate institutional review board in order to protect participant rights, data privacy, and confidentiality. In accordance with the research objectives, the survey was distributed to individuals who have utilized Airbnb for travel accommodations in the United Kingdom. The distribution was conducted via online channels, such as social media platforms and travel-related online forums, allowing for a wide reach and capturing a variety of Airbnb users' perspectives.
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39 3.3.2 Data Collection and Sampling This study's target population consists of those who have used Airbnb for travel accommodations in the United Kingdom. The selection of this population is consistent with the research objectives, which are to evaluate the efficacy of Airbnb's brand management and marketing strategies (Bryman & Bell, 2015). In this study, non-probability convenience sampling is used as the sampling method. This strategy was selected due to its practicability, swiftness, and cost-effectiveness, particularly in light of the large geographical dispersion of the target population. While this sampling strategy may not provide a flawlessly representative sample of the global Airbnb user base, it does provide valuable insights into users' perceptions and experiences with Airbnb, thereby achieving the objectives of the study (Etikan, Musa, & Al- Qasem, 2016). Participants were chosen based on their reported Airbnb experience in the United Kingdom. At least one interaction with Airbnb's platform was required for respondents to provide valid responses regarding their experiences and perceptions. The survey was distributed via a variety of online channels, including social media platforms and travel- and lodging- specific online forums. This approach enabled a comprehensive reach among potential respondents. Through JISC Online Surveys, participants were able to directly submit their responses for data collection. This digital data collection method expedited the process, ensured data accuracy, facilitated rapid responses, and protected the privacy and security of respondents (Wright, 2005). The sampling and data collection methods were devised to maximize the depth and scope of the collected data, providing a firm foundation for subsequent data analysis.
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40 3.4 Data Preparation 3.4.1 Data Structure The structuring of collected data is a fundamental stage in the context of data preparation that facilitates meaningful analysis. The data structure was designed to be coherent, consistent, and compatible with subsequent statistical procedures. This required organizing the survey responses into a format in which each row represented a unique survey participant and each column corresponded to a particular survey question or variable. By adhering to a well-defined data structure, subsequent data cleansing, coding, and analysis processes were streamlined and carried out effectively. This structured data format enabled an exhaustive overview of participant responses and established the groundwork for a rigorous examination of the relationships between variables, thereby contributing to the robustness and reliability of the study's findings. 3.4.2 Data Cleaning It was necessary to thoroughly cleanse the original survey data to assure its integrity and reliability for subsequent analysis. This required a multistep procedure to resolve potential problems such as missing data, outliers, and inconsistencies (Van den Broeck, Cunningham, Eeckels, and Herbst, 2005). In order to handle absent data, listwise deletion was utilized. This entailed eliminating the entire survey response when one or more questions remained unanswered. This methodology was selected because it produces a complete-case analysis in which all variables are analyzed for each remaining participant. This method may result in a smaller sample size, but it is a simple and widely accepted method for coping with missing survey data (Enders, 2010). Using the interquartile range formula, outliers, or data points that deviate substantially from other observations, were identified. Iglewicz and Hoaglin (1993) found that the presence of
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41 outliers can distort the results of statistical analysis and lead to erroneous conclusions. Once identified, anomalies were thoroughly analyzed to determine whether they were the result of data input errors or genuine atypical responses. In the case of the former, they were corrected, whereas in the case of the latter, they were retained in recognition of the diversity inherent to large datasets. Finally, data was refined by examining it for inconsistencies and logical mistakes. For instance, implausible values (such as negative age values) were removed or corrected. This process of data cleansing was crucial for improving the accuracy of the results and ensuring the validity and dependability of the conclusions derived from this study. 3.4.3 Data Coding Coding is a crucial stage in data analysis, as it transforms unstructured survey responses into structured, interpretable data suitable for statistical examination (Bryman, 2012). This procedure's primary objective is to establish categories or classifications to organize and make meaning of the collected data. The responses to each survey query were coded for data analysis. The coding scheme for the multiple-choice questions and Likert scale items was straightforward. For these, a numerical value was assigned to each response option. In a Likert scale query measuring satisfaction, "very dissatisfied" was assigned the value 1, "dissatisfied" the value 2, "neutral" the value 3, "satisfied" the value 4, and "very satisfied" the value 5. This numerical representation of the respondents' emotions quantifies attitudes and perceptions effectively (Jamieson, 2004). Although open-ended questions were not used extensively in the survey, they were coded using a more iterative process. First, responses were read carefully to gain a comprehensive understanding of the participants' perspectives. Following the development of categories based on recurrent motifs, each response was coded according to these categories. This type of
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42 thematic classification facilitates the systematic organization of data and the recognition of patterns (Guest, MacQueen, & Namey, 2011). To ensure that the quantitative and qualitative analyses were founded on a rigorous and systematic representation of the original survey responses, the coding procedure was conducted with care to preserve the validity and reliability of the data. The use of software such as RStudio, Excel, and SPSS was of great assistance in gaining valuable insights in a timely manner and producing effective results, thereby facilitating the work of any business analyst or consultant by providing data sorting and filtering options, data management, and analysis insights, among other things. 3.5 Data Analysis In the domain of data analysis, the crucial phase of gleaning insights and deriving meaningful conclusions from gathered data takes place. The defined data analysis strategy employs a multifaceted approach to decipher the dataset's intricate relationships and patterns. The conceptual module functions as the governing framework, directing the investigation of important research questions and objectives. The application of hypothesis tests is central to this module, providing a systematic method for evaluating the validity of proposed assumptions and assertions. Tests of hypotheses will facilitate the evaluation of diverse hypotheses regarding Airbnb's marketing strategies and brand management, allowing for the drawing of informed conclusions regarding the significance of observed trends. The next level of analysis, descriptive analysis, is crucial for providing an initial overview of the characteristics of the dataset. Through descriptive statistics, the central tendencies, variations, and distributions of variables will be elucidated, providing a complete picture of the respondents' perceptions and behaviors. This phase lays the groundwork for a more nuanced examination of variable interrelationships.
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43 In the pursuit of uncovering deeper relationships, correlation analysis becomes essential. Correlation analysis investigates the strength and direction of linear relationships between variables, revealing potential links between, for example, brand awareness and consumer satisfaction. This exploratory aspect of the analysis uncovers preliminary clues that pave the way for more in-depth inquiries. Regression analysis, which builds upon correlation analysis, adds a robust dimension to the analytical voyage. Regression enables the identification of potential causal relationships between variables, casting light on how alterations to one factor may affect another. This aspect is especially important for determining the efficacy of particular marketing strategies on outcomes such as customer retention or market share. In conclusion, the envisioned data analysis plan functions as a cohesive framework, encompassing hypothesis tests and regression analysis, to meticulously address the research objectives. Each facet offers a distinctive contribution, revealing insights from a variety of dimensions and vantage points. This meticulous methodology not only ensures a thorough comprehension of Airbnb's marketing strategies and brand management, but also provides a solid foundation for the subsequent conclusions and recommendations. 3.6 Ethical Considerations In accordance with the General Data Protection Regulation (GDPR) 2016/679, any study involving human participants must adhere to an ethical code of conduct when cleansing, processing, analyzing, and publishing the participant's data. Several measures were taken to maintain the utmost level of ethics throughout the research procedure for this study (American Psychological Association, 2017). At all phases of the investigation, the privacy and confidentiality of the participants were prioritized. Before participating in the online survey
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44 through JISC, all participants were informed of the purpose of the study, the nature of their participation, and their rights as research subjects. In addition, they were assured that their responses would be kept confidential and that the data acquired would be used solely for research (Resnik, 2015). In accordance with the British Educational Research Association's (2018) guidelines, informed consent was obtained from all participants. To ensure confidentiality, a unique identification code was allocated to each survey response, and any information that could potentially identify a respondent was removed. The dataset was securely stored, and only the primary researcher had access to it. In the presentation of the findings, data were aggregated so that no individual's responses could be identified (Kaiser, 2009). Furthermore, the investigation was conducted with complete openness. There was no deception involved in the research procedure, and all participants were given the opportunity to ask questions and the option to withdraw at any time without repercussions. Moreover, the interpretation and presentation of data lacked any bias or misrepresentation (Johnson & Christensen, 2014). Lastly, the study was conducted with the diversity of participants in mind. The survey did not contain any content that was discriminatory or objectionable, and respondents from diverse backgrounds were encouraged to participate (American Sociological Association, 2018). The research also adhered to the principle of beneficence, with the intention of contributing positively to the field of marketing and branding without harming the participants. In conclusion, this study adhered to a rigorous ethical framework, taking into account the rights, privacy, and welfare of all participants.
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45 3.7 Limitations To prevent academic dishonesty, it is essential to identify the limitations of this research's methodology. Initially, using a JISC online survey to reach a large and diverse audience was advantageous, but it also presented certain challenges (Bryman, 2012). In online surveys, self- reporting is utilized, which can be influenced by a variety of personal biases, such as the tendency to react in socially desirable ways (Furnham, 1986). Second, the generalizability of the findings may be limited. It is possible that the sample does not adequately represent the population of smartphone users (Etikan, Musa, & Alkassis, 2016). Despite efforts to ensure a large sample, the results may not accurately reflect the beliefs and behaviors of all consumers. Thirdly, even after thorough data cleansing, results may still be distorted by inaccuracies. Even though outliers and missing data were addressed using standard statistical techniques, their potential impact on the results may not have been eliminated entirely (Little & Rubin, 2019). While correlation and regression studies provide important insights into the interactions of variables, they do not demonstrate causality (Babbie, 2015). As a result, any claims of causation based on the study's findings should be viewed with caution.
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46 CHAPTER 4: FINDINGS AND RESULTS This chapter presents the findings and results from the extensive data analysis conducted to meet the research objectives of examining Airbnb's marketing strategies and brand management efficacy. To reveal patterns, associations, and causal relationships within the dataset, the data analysis included descriptive analysis, hypothesis tests, and multiple linear regression. The sections that follow elucidate on the main findings and insights gleaned from each analytic strategy. 4.1 Descriptive Analysis The respondents' demographic characteristics cast light on the Airbnb user profile in the United Kingdom. The preponderance of respondents was female (54.5%), followed by males (41.6%) and non-binary individuals (4.0%). The age distribution of respondents was diversified, with a significant proportion of 18-to-24-year-olds (37.6%) and 25-to-34-year-olds (44.6%). The respondents' marital status revealed a preponderance of single individuals (69.3%), followed by married (24.8%) and divorced (2.0%) respondents. The largest proportion of participants were students (45.5%), followed by individuals in managerial positions (10%). White individuals constituted the largest group among respondents (34.7%), followed by Asians (23.8%) and Arabs (14.9%). Fourteen percent of respondents would rather not disclose their ethnicity. In terms of educational background, the majority of respondents held Bachelor's degrees (47.5%) and Master's degrees (43.6%). The annual income distribution revealed that a substantial proportion of respondents earned less than $10,000 (31.7%), or between $10,000 and $25,000 (26%). The preferable forms of lodging varied, with hotels (37.6%) being the most popular, followed by apartments (28.7%)
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47 and residences (20.0%). These demographic insights provide a comprehensive comprehension of the characteristics and preferences of respondents, paving the way for further analysis. DESCRIPTIVE ANALYSIS Demographics of the respondents : Characteristics Count(N) Percentage (%) Gender: Male 42 41.6 Female 55 54.5 Non-binary 4 4.0 Age: 18-24 years 38 37.6 25- 34 years 45 44.6 35- 44 years 12 11.9 45- 54 years 3 3.0 55- 64years 2 2.0 >=6 5 years 1 1.0 Marital status: Single 70 69.3 Married 25 24.8 Divorced 2 2.0 Other 4 4.0 Occupation: Student 46 45.5 Academic 8 7.9 Entre preneur 6 5.9 Medical 6 5.9 Lawyer 4 4.0 Man agerial 11 10.9 Ret 1 1.0
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48 ired Une mployed 4 4.0 O ther 15 14.9 Ethnicity: Arabs 15 14.9 Asians 24 23.8 White 35 34.7 Middle Eastern 5 5.0 Mixed 7 6.9 Black 12 11.9 Other 2 2.0 Prefer not to say 1 1.0 Education background: High school 6 5.9 Bachelor 48 47.5 Masters 44 43.6 PHD 3 3.0 Annual-income($) : <10,000 32 31.7 10,000-25,000 27 26.7 25,000-40,000 18 17.8 40,000-55,0000 8 7.9 >55,000 5 5.0 Prefer not to say 11 10.9
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49 1 0 10 20 30 40 50 60 Gender Male Female Non-binary Age 18-24 years 25-34 years 35-44 years 45-54 years 55-64years >=65 years
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50 Marital Status Single Married Divorced Other Stud ent Academ ic Entrepreneur Medic al Lawyer Manag erial Retred Unempl oyed Other 0 5 10 15 20 25 30 35 40 45 50 Occupaton Status
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51 1 0 5 10 15 20 25 30 35 Ethnicity Arabs Asians White Middle Eastern Mixed Black Other Prefer not to say 1 0 5 10 15 20 25 30 35 40 45 50 Educaton Background High school Bachelor Masters PHD
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52 Annual Income <10,000 10,000-25,000 25,000-40,000 40,000-55,0000 >55,000 Prefer not to say 4.2 Hypothesis Tests A rigorous series of hypothesis tests were conducted with the objective of gaining profound and nuanced insights into the intricate factors influencing respondents' preferred accommodation choices. Meticulous testing of hypotheses facilitates a systematic evaluation of proposed relationships between variables of interest, thereby enabling evidence-based conclusions. The first pivotal hypothesis examined the potential association between respondents' annual income and their preferred form of accommodation. The null hypothesis stated that no statistically significant relationship exists between these variables, while the alternative hypothesis proposed a significant connection. To test this hypothesis, a Pearson's Chi-Square test was conducted. The test results indicated a p-value of 0.370, which is greater than the 0.05 significance level. Therefore, we fail to reject the null hypothesis and conclude that annual income does not have a statistically significant association with preferred accommodation based on the sample data.
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53 While annual income did not demonstrate a meaningful link, the hypothesis testing illuminated an intriguing significant relationship between respondents' occupation and their favored lodging options. The null hypothesis stated no significant association, while the alternative proposed a statistically significant relationship. The Pearson's Chi-Square test yielded a p-value of 0.033, which is below the 0.05 significance level. Consequently, we can reject the null hypothesis in favor of the alternative. The test results provide evidence that occupation has a substantial influence on preferred types of accommodation. In addition to occupational context, the purpose behind respondents' travels also emerged as an influential factor in determining accommodation choices. The null hypothesis postulated no significant correlation, while the alternative hypothesis stated a statistically significant association. The Pearson's Chi-Square test produced a p-value of 0.025, allowing us to reject the null hypothesis. We can conclude that travel purpose has a marked impact on accommodation preferences based on the sample data. The final hypothesis examined whether seasons influence respondents' preferences for lodging options. The null hypothesis proposed no significant relationship, while the alternative hypothesized a statistically significant association. The Pearson's Chi-Square test resulted in a p- value of 0.221. Since this exceeds the 0.05 significance level, we fail to reject the null hypothesis. The test results indicate that seasons do not have a significant bearing on determining respondents' favored accommodations. In summary, the meticulous hypothesis testing process yielded multi-faceted insights into the factors driving respondents' preferred accommodations. While annual income and seasons did not exhibit statistically significant associations, occupation and travel purpose demonstrated substantial influences. These findings have profound implications for hospitality organizations
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54 seeking to devise targeted marketing strategies aligned with specific occupational and travel purpose segments. The insights uncovered by the hypothesis tests enable a granular understanding of the motivations underlying accommodation selections. By leveraging these insights, customized offerings and experiences can be tailored to resonate with diverse groups. The comprehensive hypothesis testing methodology and the evidence-based conclusions derived from it establish a solid foundation for further analysis into the nuances of customer preferences. This paves the way for enhanced customer engagement, satisfaction and ultimately, competitive advantage. HYPOTHESIS TESTS CHI_SQUARE TEST Table and Graph showing the association of the preferred accommodation with Annual income, Occupation, Travel purpose and Seasons. Variables Preferred Accommodation Pearson Chi Square Annual income 0.370 Occupation 0.033 Travel purpose 0.025 Seasons 0.221
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55 1 0 0.1 0.2 0.3 0.4 Annual income Occupaton Travel purpose Seasons Chi-Square Test Annual income Occupaton Travel purpose Seasons 4.3 Multiple Linear Regression The objective of the multiple linear regression analysis was to determine the influence of advertisements, individual preference, and Airbnb's reputation on digital marketing success ratings. The model was statistically significant (F (3, 95) = 14.068, p 0.001), explaining 79.3% of the variance in digital marketing performance ratings, as indicated by the model summary. This indicates the model's effectiveness in elucidating the investigated relationships. The standardised coefficients (betas) revealed that advertisements (= 0.54), Airbnb's repute (= 0.46) and individual preference ( = 0.33) had positive effects on digital marketing performance ratings. Coefficients Table showing the standardized coefficients and their collinearity statistics Variables Standardized Coefficients: Collinearity Statistics: beta t-value p-value VIF Advertisements 0.54 6.346 0.00 1.000 Airbnb Reputation 0.46 5.212 0.00 1.000 Personal preference 0.33 7.234 0.00 1.000
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56 beta t-value p-value VIF 0 2 4 6 8 10 12 14 16 18 20 Multiple Linear Regression Advertsements Airbnb Reputaton Personal preference Further examination of the coefficients revealed that each predictor variable contributed significantly to digital marketing success ratings. Advertising had the greatest positive effect (= 0.54, t-value = 6.346, p 0.001), followed by Airbnb's reputation ( = 0.46, t-value = 5.212, p 0.001) and individual preference ( = 0.33, t-value = 7.234, p 0.001). These results demonstrate the significant impact of these variables on Airbnb's digital marketing performance ratings. All variables exhibited a VIF of 1.000, confirming the absence of multi-collinearity, as indicated by the collinearity statistics. This ensured the validity of the regression model and the independence of predictor variables in explaining the variation in digital marketing success ratings. 4.4 Summary of Findings The descriptive analysis yielded insightful information regarding the demographic characteristics and preferences of Airbnb users in the United Kingdom. The hypothesis analyses demonstrated the impact of variables such as occupation and purpose of travel on preferable lodging options. The analysis of multiple linear regression provided a comprehensive comprehension of the influence of advertisements, personal preference, and Airbnb's reputation
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57 on digital marketing success ratings. The results demonstrate the importance of strategic marketing efforts, positive brand perception, and individualized customer preferences to Airbnb's digital marketing success. The following chapter provides a thorough discussion and interpretation of these findings, drawing on prior research to contextualize and validate the observed trends. This will result in the development of actionable conclusions and suggestions for Airbnb's marketing strategies and brand management. CHAPTER 5: DISCUSSIONS AND RECOMMENDATIONS In the previous chapter, the research findings were presented, casting light on the various aspects pertaining to preferable lodging options, demographic characteristics, and the impact of marketing strategies on digital marketing success ratings within the hospitality industry. This chapter provides a comprehensive analysis of the obtained results, including insightful theoretical and practical implications. In addition, based on the discussions, recommendations are made for hospitality industry stakeholders, specifically those concerned with marketing strategies and consumer engagement. 5.1 Discussions 5.1.1 Demographics and Preferred Accommodation Significant implications for the hospitality industry have been uncovered by a comprehensive analysis of the demographic characteristics of respondents in relation to their preferred lodging options. These findings disclose a complex tapestry of insights that require careful analysis and strategic consideration. The investigation of demographic distribution comprising crucial factors such as gender, age, marital status, occupation, ethnicity, educational
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58 background, and annual income has contributed to a profound comprehension of the survey participants' multifaceted profile. Diversity in the demographic composition indicates that the study was successful in capturing a wide range of perspectives and preferences. The substantial representation of distinct demographic segments demonstrates the rigor of the research methodology, validating its ability to include a diverse range of individuals. This diversity is essential for portraying a complete picture of the preferences of the target audience, casting light on the intricate interplay between demographic characteristics and preferred lodging options. As a result, the findings not only contribute to the academic discourse on the influence of demographics on accommodation preferences, but also provide industry practitioners with a valuable road map. These insights call for nuanced strategies that take into account the distinct preferences of different demographic groups. By tailoring their marketing efforts, customer experiences, and accommodation offerings to the diverse needs and aspirations of various demographic groups, hospitality establishments can foster deeper customer relationships, increase guest satisfaction, and strengthen their competitive edge in an increasingly dynamic market. 5.1.2 Hypothesis Tests: Influencing Factors on Accommodation Preferences Intriguing insights were revealed by the results of the hypothesis tests regarding the factors influencing respondents' favored lodging choices. While there was no statistically significant correlation between annual income and preferred accommodation, occupation and travel purpose emerged as significant determinants. There was a significant correlation between respondents' occupation and their accommodation preferences, highlighting the influence of professional context on individuals' decisions. Similarly, the relationship between travel purpose
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59 and accommodation preferences highlighted the significance of travel purpose in determining accommodation preferences. 5.1.3 Regression Analysis: Impact of Marketing Strategies on Digital Marketing Success Ratings The use of multiple linear regression analysis yielded significant findings about the impact of marketing techniques on assessments of digital marketing success. The strong Adjusted R^2 value of the model suggests that a significant percentage of the variability in digital marketing success ratings can be accounted for by the chosen marketing techniques, namely ads, personal preference, and Airbnb reputation. The standardized coefficients indicate that all of these elements had a favorable effect on digital marketing success ratings, with advertising having the most significant impact. 5.2 Recommendations 5.2.1 Targeted Marketing Strategies The findings derived from the investigation, namely the connections between employment, trip goal, and preferred lodging, highlight the need of implementing customized marketing tactics. It is advisable for hospitality enterprises to implement a comprehensive strategy that focuses on catering to various consumer groups. Developing customized marketing messages and experiences that effectively align with individual occupational profiles and unique travel goals may significantly enhance consumer engagement and happiness. 5.2.2 Leveraging Digital Marketing Strategies The regression analysis has clearly shown the effectiveness of marketing methods, particularly commercials, in enhancing the ratings of digital marketing success. Therefore, it is
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60 crucial for hospitality facilities to allocate resources towards strategic investments in strong and comprehensive digital marketing strategies. It is vital to strategically develop these initiatives in order to enhance their digital reach, guaranteeing that their online visibility is not just extensive but also captivating. The effective generation and distribution of compelling adverts that seamlessly align with the preferences of consumers may significantly contribute to the success of digital marketing efforts and improve overall levels of customer engagement. 5.2.3 Enhancing Personalized Experiences The significant impact of individual preferences on the effectiveness of digital marketing necessitates that hospitality organizations prioritize the enhancement of customized experiences. By adopting a customer-centric approach, organizations may strategically align their plans to better meet the unique preferences of individual customers. The implementation of customer- centric measures, characterized by the adoption of new strategies such as personalized suggestions and customized services tailored to individual tastes, has the potential to foster stronger ties between consumers and the brand. Consequently, this has the capacity to greatly enhance consumer happiness and foster enduring brand loyalty. 5.2.4 Strengthening Airbnb Reputation The rigorous regression analysis has shown the crucial significance of Airbnb's reputation in influencing assessments of digital marketing success. In light of this objective, more organizations within the hotel industry might acquire significant insights from Airbnb's exemplary techniques in reputation management. These techniques include a persistent focus on honest and real customer feedback, the consistent provision of excellent service, and the development of authentic and meaningful connections with visitors. By diligently embracing and
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61 modifying these established tactics, hospitality enterprises may establish a unique and persuasive brand image, therefore enhancing their own digital marketing results. 5.3 Implications and Future Research The proposals and thoughts presented in this chapter have significant consequences that extend across the marketing landscape of the hotel sector. The comprehensive comprehension of the complex relationship among demographic factors, marketing tactics, and accomplishments in digital marketing signifies the advent of a novel period characterized by meticulous strategic planning and a focus on consumer needs. Future research endeavors should include a more detailed examination of distinct demographic groups and their nuanced preferences. A more in-depth exploration of the intricate connection between career and travel purpose has the potential to provide valuable insights that may inform the development of highly focused and influential marketing strategies. In addition, longitudinal studies have the capacity to track the development of accommodation preferences over a period of time, providing a complete viewpoint on the changing influence of marketing techniques on digital marketing effectiveness. In conclusion, the chapter provides insightful analyses and practical solutions that provide helpful guidance for hospitality firms as they navigate the intricate landscapes of marketing and customer interaction. By aligning marketing tactics with the complex intricacies of demographic variables and leveraging the efficacy of successful techniques, stakeholders have the ability to curate memorable and impactful experiences. These experiences have the potential to establish lasting relationships with a wide range of client profiles, eventually resulting in enhanced achievements in digital marketing and overall company success.
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62 CHAPTER 6: CONCLUSION This dissertation embarked on a complex quest to decipher the complex relationship between demographic characteristics, marketing strategies, and digital marketing success in the hospitality industry. The investigation began with a thorough literature review, followed by a meticulously designed research methodology that facilitated the collection and analysis of relevant data. The subsequent discussions and recommendations illuminated profound insights that can revolutionize the marketing strategies of hospitality businesses. As this voyage comes to a close, it is essential to reflect on the most important findings, their implications, and the larger significance of this study.
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63 6.1 Summary of Key Findings Analysis of the respondent's demographics and favored lodging options revealed significant patterns. The diversity of the demographic distribution, which included gender, age, marital status, occupation, ethnicity, educational background, and annual income, attested to the study's effectiveness in documenting a broad range of perspectives and preferences. This mosaic of demographic characteristics provided the groundwork for a comprehensive understanding of the intricate nuances underlying accommodation choices in the digital era. The hypothesis tests uncovered a complex web of relationships between preferable accommodations and crucial variables. While there was no statistical significance between preferred accommodation and annual income, there were remarkable correlations between preferred accommodation, occupation, and travel purpose. These findings highlighted the potent influence of occupation and travel purpose on the accommodation preferences of individuals. These insights enable hospitality businesses to develop targeted marketing strategies that resonate with specific customer segments, thereby increasing customer engagement and satisfaction. The regression analysis bolstered the significance of marketing strategies, with advertisements, Airbnb's reputation, and personal preference having a significant impact on digital marketing success ratings. The findings illuminated the critical role that carefully crafted advertisements and a solid Airbnb reputation play in driving digital marketing success. Simultaneously, the resounding influence of individual preference emphasizes the importance of providing customized and individualized experiences to customers.
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64 6.2 Implications and Significance This study has far-reaching implications for the marketing landscape of the hospitality industry, including business practices and consumer engagement. The granular insights into demographic characteristics and their interaction with lodging preferences equip hospitality businesses with effective marketing tools. Establishments can maximize customer engagement, cultivate brand loyalty, and fortify their market position by meticulously tailoring marketing messages and strategies to resonate with specific demographic segments. Moreover, the findings highlight the strategic necessity of effectively leveraging digital marketing strategies. The unmistakable effect of advertisements and Airbnb's reputation on digital marketing success highlights the importance of establishing a strong online presence. Entities in the hospitality industry that execute captivating and compelling digital campaigns will garner the benefits of increased consumer engagement and brand resonance. The influence of individual preference on the effectiveness of digital marketing reveals the unrealized potential of personalized experiences. By curating bespoke offerings that accommodate to individual preferences, hospitality businesses can cultivate strong and long- lasting relationships with their customers. This customer-centric strategy can foster brand loyalty, increase customer satisfaction, and stimulate positive word-of-mouth endorsements. 6.3 Contribution to Knowledge and Future Research This dissertation makes a substantial contribution to the hospitality and marketing fields of knowledge. The exhaustive investigation of demographic characteristics, marketing strategies, and digital marketing success unearthed novel insights that transcend merely theoretical frameworks. This study's practical ramifications enable hospitality businesses to implement transformational changes that enhance their marketing effectiveness and consumer engagement.
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65 Future research efforts can delve deeply into the subtle interrelationships between particular demographic segments and accommodation preferences. Exploring the nexus between occupation, travel purpose, and lodging preferences can yield a treasure trove of insights that can inform the development of highly targeted marketing campaigns. Moreover, longitudinal studies can provide a temporal perspective on accommodation preferences and the evolving influence of marketing strategies on the success of digital marketing. 6.4 Limitations and Considerations It is essential to recognize the inherent limitations of this investigation. Self-reported data may incorporate response biases and measurement errors into online surveys. While rigorous data cleansing and classification processes were employed to ensure the integrity and validity of the data, these inherent limitations must be acknowledged. 6.5 Conclusion In conclusion, the purpose of this dissertation was to decipher the intricate tapestry of demographic characteristics, marketing strategies, and digital marketing success in the context of the hospitality industry. The synthesis of empirical data, theoretical foundations, and practical insights has illuminated a path forward for hospitality businesses seeking to navigate the complex contours of digital marketing. By adopting targeted marketing strategies, leveraging the power of digital marketing, emphasizing personalized experiences, and bolstering brand reputation, stakeholders can pave the way for enhanced digital marketing success and long-term consumer engagement. In an era of unprecedented digital transformation, this study's contributions will endure as a guiding beacon, propelling the hospitality industry toward marketing excellence.
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66 References Aaker, D. A. (1996). Building Strong Brands. Free Press. Albinsson, P. A., & Perera, B. Y. (2012). Alternative marketplaces in the 21st century: Building community through sharing events. Journal of Consumer Behaviour, 11(4), 303-315. Ansoff, H. I. (1957). Strategies for Diversification. Harvard Business Review, 35(5), 113–124.
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68 Ert, E., Fleischer, A., & Magen, N. (2016). Trust and reputation in the sharing economy: The role of personal photos in Airbnb. Tourism Management, 55, 62-73. Etikan, I., Musa, S. A., & Alkassim, R. S. (2016). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1-4. Farmaki, A., & Kaniadakis, A. (2020). A regulatory conundrum: An examination of sharing economy regulation in European cities. Current Issues in Tourism, 23(14), 1784-1801. Field, A. (2018). Discovering statistics using IBM SPSS statistics. Sage. Gravetter, F. J., & Wallnau, L. B. (2016). Statistics for the Behavioral Sciences (10th ed.). Cengage Learning. Guest, G., MacQueen, K. M., & Namey, E. E. (2011). Applied thematic analysis. Sage Publications. Guttentag, D. (2019). Progress on Airbnb: A literature review. Journal of Hospitality and Tourism Technology. Hamari, J., Sjöklint, M., & Ukkonen, A. (2016). The sharing economy: Why people participate in collaborative consumption. Journal of the Association for Information Science and Technology, 67(9), 2047-2059. Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014). Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation. Journal of Interactive Marketing, 28(2), 149–165. Huang, Z., & Benyoucef, M. (2013). From e-commerce to social commerce: A close look at design features. Electronic Commerce Research and Applications, 12(4), 246-259. Iglewicz, B., & Hoaglin, D. C. (1993). Volume 16: how to detect and handle outliers. ASQC Quality Press.
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71 Sundararajan, A. (2016). The sharing economy: The end of employment and the rise of crowd- based capitalism. MIT Press. Thompson, D. (2017). Price perception: Customer reactions to perceived price. Business: Theory and Practice, 18, 63-72. Thomson, M., MacInnis, D. J., & Park, C. W. (2005). The ties that bind: Measuring the strength of consumers’ emotional attachments to brands. Journal of Consumer Psychology, 15(1), 77–91. Van den Broeck, J., Cunningham, S. A., Eeckels, R., & Herbst, K. (2005). Data cleaning: Detecting, diagnosing, and editing data abnormalities. PLoS Medicine, 2(10), e267. Wachsmuth, D., & Weisler, A. (2018). Airbnb and the rent gap: Gentrification through the sharing economy. Environment and Planning A: Economy and Space, 50(6), 1147-1170. Wright, K. B. (2005). Researching Internet-based populations: Advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. Journal of Computer-Mediated Communication, 10(3), JCMC1034.
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