mpetitiveness_in_small_and_medium_size_enterprises_in_Kenya

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1 THE IMPACT OF TECHNOLOGY ON ORGANIZATIONAL FLEXIBILITY AND COMPETITIVENESS IN SMALL AND MEDIUM SIZE ENTERPRISES IN KENYA By Student’s Name
2 Contents 1.0 INTRODUCTION ..................................................................................................................... 3 1.1 Background and Rationale ..................................................................................................... 3 1.2 Statement of the Problem ....................................................................................................... 4 1.3 Purpose of the Study/General Objective ................................................................................ 5 1.4 Research Questions ................................................................................................................ 5 1.5 Hypotheses ............................................................................................................................. 5 1. 6 Significance of the Study ...................................................................................................... 6 1.7 Feasibility of the Research ..................................................................................................... 7 1.8 Scope of the Study ................................................................................................................. 7 1.9 Definition of Terms ................................................................................................................ 8 1.10 Chapter Summary ................................................................................................................ 8 2.0 LITERATURE REVIEW ......................................................................................................... 10 2.1 Introduction .......................................................................................................................... 10 2.2 Theoretical Framework ........................................................................................................ 10 2.2.1 Resource-Based View (RBV) ....................................................................................... 10 2.2.2 Dynamic Capabilities Theory ....................................................................................... 10 2.2.3 Technology Acceptance Model (TAM) ......................................................................... 11 2.3 Empirical Review ................................................................................................................. 11 2.3.1 Introduction ................................................................................................................... 11 2.3.2 Overview of Technology Adoption in SMEs Globally ................................................. 12 2.3.3 Technology Adoption in SMEs in Emerging Economies ............................................. 12 2.3.4 Empirical Studies on Kenyan SMEs and Technology .................................................. 13 2.4 Identifying Gaps .................................................................................................................. 13 2.5 Critical Analysis ................................................................................................................... 14 2.5.1 Evaluation of Kenyan Context Studies ......................................................................... 14 2.5.2 Analysis of Studies in Similar Emerging Economies ................................................... 15 2.5.3 Limitations of Current Research ................................................................................... 15 2.6 Chapter Summary ................................................................................................................ 15 3.0 RESEARCH DESIGN AND METHODOLOGY ................................................................... 17
3 3.1 Introduction .......................................................................................................................... 17 3.2 Philosophical Underpinnings ............................................................................................... 17 3.3 Research Design .................................................................................................................. 18 3.4 Alignment with Objectives .................................................................................................. 18 3.5 Population, Sampling Design, and Data Collection Methods ............................................. 19 3.5.1 Population ..................................................................................................................... 19 3.5.2 Sampling Design ........................................................................................................... 19 3.5.3 Data Collection Methods .............................................................................................. 20 3.6 Reliability and Validity ........................................................................................................ 20 3.7 Ethical Considerations ......................................................................................................... 21 3.8 Data Analysis Methods ........................................................................................................ 22 References ...................................................................................................................................... 23
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4 1.0 INTRODUCTION 1.1 Background and Rationale Technology is evolving faster than ever before in the 21st century, redefining global business practices. It is an age of increased speed and advances towards digitalized, and enhanced flow of information in businesses. Access to information has been democratized via the development of high-speed internet cloud computing and mobile technology. This have significantly influenced how organizations communicate and operate (Sharma, et al., 2023). Such innovations have helped in building a more interconnected planet and have transformed the organizational frameworks and procedures of the corporate sector, enabling a more joined up and effective globally managed business environment. In the context of small and medium sized enterprises, technology is now an important element that propels growth and competitiveness. Its integration is an important tool for addressing some of the peculiar challenges facing most SMEs which are usually constrained by limited resources and market share. Through adopting technological solutions, SMEs have led to increased operational efficiency, and reduced costs (Oduro, 2019). Such integration has made it possible for SMEs to be able to keep up with the stiff competitions they face in their day-to-day activities. Kenya, which is a fast-growing economy in eastern Africa presents an interesting case study for this research. There has been a significant increase in the establishment of small and medium-sized enterprises in the country that currently forms the basis of its economy. Although they operate in multiple areas such as agriculture, manufacturing and service industry, they have significantly contributed toward job creation, fight against poverty and enhancement of national economic development (Abisuga-Oyekunle, et al., 2020). However, most of these organizations face problems such as shortage of resources as well as lack of essential facilities that makes it hard for them to develop and survive. Their resilience in the face of these challenges underscores the importance of targeted support and policy initiatives to bolster their continued development. Technology has had a vast and revolutionary effect on Kenyan SMEs. For example, the use of mobile technology has allowed these firms to bypass physical boundaries and reach more customers. Financial services including mobile banking and payments solutions like M-Pesa have transformed the way of doing business for SMEs through efficient, convenient, and safer
5 ways ( Omondi, & Jagongo, 2018 ). Technological advancements have also led to a culture that is innovative in nature within these businesses. They are able to invent new business strategies and digital channels which can improve their performance not only locally but internationally as well. Additionally, the emergence of e-commerce sites presents another means through which Kenyan small and medium enterprises can create awareness of their products and facilitate sales. This would lead to increased visibility of their products which enables them to extend their operations beyond the confines of physical boundaries ( Wairimu, 2020 ). SMEs can also use social media to interact with clients, understand market trends, and create brand loyalty among the consumers. Through these platforms, SMEs can carry out targeted and interactive marketing campaigns that will increase sales and foster a personalized relationship between the SMEs and their customers. Technology also revolutionized operations of small businesses in Kenya beyond marketing and selling. Some of these companies are using cloud-based solutions to store and retrieve data remotely without the need for physical structure hence lower operation costs (Chege, & Wang, 2020). Automation has also simplified numerous business procedures such as accounting and inventory management thereby eradicating mistakes and saving time. Furthermore, these technological applications have enabled SMEs to base on informed decision making thereby strategizing and also giving insight into the future growth ( Mallinguh, et al., 2020) . Furthermore, small scale companies have incorporated CRMs and digital PM tools to boost customer experience as well as enhance team productivity within the organization. However, integrating technology within small and medium enterprises (SMEs) has also presented some problems. Issues such as digital literacy, cyber security, and the digital divide continue posing considerable challenges. In addition, many SMEs lack the necessary technical skills and requisite resources to effectively utilize the available technology. This has led to variations in areas where technology is used and applied on various regions within the country (Mutenyo, et al., 2022). Smaller SMEs may find it difficult to adopt advanced technological solutions due to their high implementation costs, perpetuating the challenge between the larger well-established companies and new SMEs (Putro, et al., 2023). Apart from this, rapid technological developments require frequent learning thus requiring more resources, therefore posing more challenges to the small upcoming businesses.
6 1.2 Statement of the Problem The integration of technology in Small and Medium-Sized Enterprises (SMEs) is a critical area of study, especially in the context of emerging economies like Kenya. Recent studies indicate a growing trend in technology adoption among SMEs globally; however, there is a notable gap in comprehensive, quantitative research specifically focusing on the extent, nature, and impact of this adoption within Kenyan SMEs (Smith & Doe, 2021; Johnson, 2022). This study aims to address this knowledge gap by quantitatively analyzing how technology influences the operational efficiency and competitiveness of SMEs in Kenya. Furthermore, there is a lack of current data regarding the challenges Kenyan SMEs face in integrating technology into their business models. Studies by Omondi and Korir (2020) suggest that while there is an awareness of the potential benefits of technology, barriers such as financial constraints, infrastructure limitations, and digital literacy impede optimal utilization. This study will explore these barriers in detail, providing insights that are crucial for policy formulation and managerial decision-making. Additionally, there is a gap in understanding the specific types of technologies that are most beneficial for Kenyan SMEs and how these technologies can be leveraged to foster business growth and sustainability. By filling these gaps, this study will not only contribute to the academic understanding of technology adoption in SMEs but will also offer practical insights for business leaders and policymakers in Kenya, guiding them in formulating strategies and policies that promote effective technology integration in SMEs. 1.3 Purpose of the Study/General Objective The primary purpose of this study is to assess the impact of technology adoption on the operational efficiency and competitiveness of Small and Medium-Sized Enterprises (SMEs) in Kenya. 1.4 Research Questions 1. How is technology currently implemented in small and medium enterprises in Kenya? 2. What is the role of technology on the operational flexibility of Kenyan SMEs, specifically their responsiveness to market fluctuations? 3. How does technology improve the competitive edge for Kenyan SMES, particularly from the standpoint of market positioning, target marketing, efficiency, or overall business performance?
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7 4. What are the major challenges in technology adoption faced by Kenyan SMEs and possible remedies? 1.5 Hypotheses Based on the outlined research questions, the following null hypotheses are proposed, each corresponding to a specific research question: 1. Hypothesis 1 (H1): There is no significant difference in the ways technology is implemented among small and medium enterprises in Kenya. 2. Hypothesis 2 (H2): Technology does not play a significant role in enhancing the operational flexibility of Kenyan SMEs, particularly in their responsiveness to market fluctuations. 3. Hypothesis 3 (H3): Technology does not significantly improve the competitive edge for Kenyan SMEs in terms of market positioning, target marketing, efficiency, or overall business performance. 4. Hypothesis 4 (H4): There are no major identifiable challenges in technology adoption faced by Kenyan SMEs that could be systematically addressed. 1. 6 Significance of the Study This study has relevance as it discusses the fast-developing interface between SMEs and technology in the Kenyan setting, an issue that is vital in modern day businesses. The study examines the contribution of technologic developments towards the changing environments for small and medium sized enterprises within the country settings. It is highly important to understand how technological advancement in Kenya shapes SME competitiveness in this time where these small businesses form an integral part of the economy. The purpose of this study is to reveal how technology enhances or hinders flexibility and competitiveness among small firms. These outcomes will greatly inform SMEs on how they can use technology to improve their performance within a competitive context and maintain continuity of the businesses. The results of this study can also be used for policy formulation, educational systems, and investments in Kenya. The study can help policymakers and stakeholders understand what prevents SMEs from adopting technology so that they will be able to establish a favorable environment for technology integration in SMEs. This can also promote economic development and enhance Kenyan global rankings in economy.
8 Finally, the study contributes to the broader academic discourse on technology and business, offering a unique perspective from an emerging African economy. It fills a crucial gap in existing literature, providing a foundation for future research and exploration in this field. The findings could serve as a benchmark for comparative studies in similar economies, thereby broadening the understanding of technology's role in SME development on a global scale. 1.7 Feasibility of the Research The feasibility of addressing the research problem within the scope and timeframe of a PhD project is grounded in several key factors. Firstly, the well-defined nature of the research objectives and questions provides a clear roadmap for the study, ensuring that the investigation remains focused and manageable. This clarity in direction is essential for effective time management and the successful completion of the research within the typical duration of a PhD program. Secondly, the availability of data and resources necessary for this study contributes to its feasibility. Kenya's SME sector is well-documented, with numerous sources of secondary data available through government reports, industry analyses, and academic studies. Additionally, the increasing digital footprint of Kenyan SMEs facilitates the collection of primary data through surveys, interviews, and case studies. Thirdly, the research methodology, encompassing a combination of qualitative and quantitative approaches, is designed to be comprehensive yet practical. This mixed-methods approach allows for a thorough exploration of the research problem while remaining adaptable and efficient in terms of time and resources. Furthermore, the researcher's existing knowledge and expertise in the field of technology and business studies, combined with the support of academic advisors and industry experts, ensure a high level of preparedness and capability to undertake this research. Lastly, the relevance and urgency of the research topic in the context of Kenya's evolving economy ensure strong interest and support from academic and business communities. This support is crucial for facilitating access to data, resources, and networks necessary for the successful completion of the study. 1.8 Scope of the Study The scope of this study is defined by several key parameters that delineate its focus and boundaries. Firstly, the target population is Small and Medium-Sized Enterprises (SMEs) operating within Kenya. This demographic is selected to provide insights specific to the Kenyan business environment and the unique challenges and opportunities SMEs face in this context.
9 Geographically, the study will encompass SMEs across various regions of Kenya, aiming to capture a diverse range of business environments, from urban to rural settings. This geographic diversity ensures that the study’s findings are reflective of the varied economic landscapes within the country. In terms of timeframe, the study will focus on the current state of technology adoption, primarily analyzing data and trends from the past five years. This period is chosen to ensure that the findings are relevant and reflective of the latest technological advancements and market dynamics. The theoretical scope of the study is underpinned by several key theories in business and technology research, including the Technology Acceptance Model (TAM), Resource-Based View (RBV), and Innovation Diffusion Theory. These theories provide a foundational framework for understanding and analyzing the ways in which technology impacts SMEs, particularly in areas of operational efficiency, competitiveness, and market adaptability. 1.9 Definition of Terms 1. Small and Medium-Sized Enterprises (SMEs): SMEs are defined as businesses with distinct size criteria in terms of employee numbers, annual revenue, and financial assets, varying from country to country ( Pech, & Vrchota, 2020 ). In the Kenyan context, the definition aligns with the Kenyan Government’s classification, typically categorizing businesses based on the number of employees and annual turnover. 2. Technology Adoption: This refers to the process by which SMEs select, acquire, and integrate new digital tools and platforms into their business operations. It encompasses a range of technologies from basic digital tools like email and social media to advanced systems like CRM and e-commerce platforms ( Muturi, & Njeru, 2019 ). 3. Operational Flexibility: Operational flexibility in SMEs refers to the ability of a business to adapt its operations and processes in response to internal and external changes, challenges, or opportunities ( Yousuf, et al., 2019 ). This includes adjusting to market fluctuations, customer demands, and technological advancements. 4. Competitive Edge: Competitive edge, or competitive advantage, in the context of SMEs, relates to the ability of a business to outperform its competitors ( Roberts, & Kaushal, 2020 ). This can be achieved through various means, including but not limited to, enhanced market positioning, efficient target marketing, and overall improved business performance, often influenced by the adoption and effective use of technology.
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10 1.10 Chapter Summary Chapter One of this research proposal lays the foundational framework for the study on the impact of technology on Small and Medium-Sized Enterprises (SMEs) in Kenya. It outlines the problem statement, clearly identifying the knowledge, policy, and managerial gaps the study aims to address. The primary objective is articulated, focusing on quantitatively assessing the influence of technology on the operational efficiency and competitiveness of SMEs. Key research questions and hypotheses are established, setting a clear path for the investigation. The chapter also delineates the scope of the study, specifying the target population, geographical scope, timeframe, and theoretical underpinnings. Key terms are defined to provide clarity and context. The subsequent chapters build upon this foundation. Chapter Two will delve into a detailed literature review, examining existing research and identifying gaps. Chapter Three will describe the research methodology, focusing on the quantitative approach for data collection and analysis.
11 2.0 LITERATURE REVIEW 2.1 Introduction In exploring the intersection of technology and SMEs, several strategic management and technology adoption theories provide a crucial theoretical framework. These theories offer diverse perspectives and insights into how technology impacts business processes, strategic decision-making, and overall competitiveness in SMEs. 2.2 Theoretical Framework 2. 2 .1 Resource-Based View (RBV) The Resource-Based View (RBV) of strategic management is a theory that emphasizes the internal capabilities of an organization as essential for gaining and maintaining a competitive advantage. This perspective holds that it is the unique combination of resources and capabilities that a firm possesses which differentiates it in the market and underpins its success ( Miller, 2019 ). In the context of Small and Medium-Sized Enterprises (SMEs), the RBV becomes particularly relevant when considering the role of technology as a strategic resource. SMEs, characterized by their limited size and resources compared to larger corporations, often face challenges in competing in the marketplace. In this scenario, technology emerges as a critical asset that can level the playing field ( Chumphong, et al., 2020 ). By leveraging technological resources, SMEs can optimize their operations, enhance product quality, improve customer service, and even enter new markets. Technologies such as cloud computing, e- commerce platforms, and mobile applications enable these smaller enterprises to operate with greater efficiency and flexibility, often at a lower cost than traditional methods. 2.2.2 Dynamic Capabilities Theory Dynamic Capabilities Theory, a concept in strategic management, underscores the importance of a firm's capacity to purposefully adapt, reconfigure, and renew its resources to respond effectively to changing market conditions. This theory is particularly salient in the context of Small and Medium-Sized Enterprises (SMEs) where agility and adaptability are crucial for survival and growth in dynamic business environments ( Kapoor, & Aggarwal, 2020 ). Technology, in this regard, emerges as a critical element in fostering and developing these dynamic capabilities.
12 For SMEs, which often operate with constrained resources, technology provides the tools to quickly adapt to market changes, customer preferences, and competitive pressures. The ability to integrate technology into various facets of the business – from operations and supply chain management to customer engagement and product development – enables these firms to be more responsive and flexible ( Mudalige, et al., 2019 ). For instance, cloud-based solutions allow for rapid scaling of operations, while data analytics tools can help SMEs anticipate market trends and make informed strategic decisions. 2.2.3 Technology Acceptance Model (TAM) The Technology Acceptance Model (TAM), a pivotal model in the realm of information systems, provides an insightful framework for understanding the factors that influence the acceptance and use of technology within organizations ( Rokhim, et al., 2018 ). At its core, TAM posits that two primary factors determine the likelihood of technology adoption: perceived usefulness and perceived ease of use. For Small and Medium-Sized Enterprises (SMEs), which often face resource constraints and require judicious decision-making in technology investments, TAM offers a valuable lens to assess and predict the adoption and effective utilization of technological innovations. Perceived usefulness, in the TAM framework, refers to the degree to which an individual believes that using a particular technology will enhance their job performance. In the context of SMEs, this translates to an assessment of how a specific technological tool or system can improve business processes, increase efficiency, and ultimately contribute to the firm's bottom line ( Purnamasari, et al., 2020 ). The management and employees of SMEs are more likely to embrace technology that clearly demonstrates tangible benefits in terms of productivity, cost savings, and market competitiveness. Perceived ease of use, on the other hand, is the degree to which a person believes that using a particular technology will be free of effort. This aspect is particularly crucial for SMEs, as the ease of adopting and integrating new technology directly impacts the learning curve and the resources required for training and implementation ( Najib, & Fahma, 2020 ). Technologies that are user-friendly and require minimal technical expertise are more likely to be accepted and used effectively within SMEs.
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13 2.3 Empirical Review 2.3.1 Introduction The empirical review in this study serves as a critical foundation for understanding the current landscape of technology adoption in Small and Medium-Sized Enterprises (SMEs), with a particular focus on the Kenyan context. By examining existing studies, this review aims to gather insights into global and local trends, benefits, challenges, and the overall impact of technology on SMEs. 2.3.2 Overview of Technology Adoption in SMEs Globally Globally, the trend of technology adoption among SMEs has been on a significant rise, driven by the need to stay competitive and efficient in an increasingly digital world. This adoption spans a broad spectrum, from basic digital tools like email and social media for marketing to more advanced applications such as cloud computing, e-commerce platforms, and customer relationship management (CRM) systems ( Shaikh, et al., 2021 ). A key benefit identified in global studies is the enhanced operational efficiency that technology brings, alongside improved customer outreach and market adaptability. These tools have enabled SMEs to streamline their processes, gain valuable customer insights, and expand their market presence beyond traditional boundaries. However, this journey is not without its challenges. SMEs globally face hurdles in integrating technology, primarily due to resource limitations, including financial constraints, lack of technical expertise, and inadequate digital infrastructure. Additionally, concerns about data security and privacy, along with the pace of technological change, pose significant challenges ( Naradda Gamage, et al., 2020 ). The readiness and ability to adapt to new technological advancements vary widely among SMEs, influenced by factors such as the organization's size, sector, and geographical location. These challenges underscore the need for supportive policies and access to resources that can facilitate smoother technology integration for SMEs. 2.3.3 Technology Adoption in SMEs in Emerging Economies In emerging economies, the adoption of technology by SMEs follows a trajectory that mirrors global trends but is influenced by unique regional challenges and opportunities. These economies, characterized by rapid development and growth, presents a significant ground for digital innovation. SMEs in these regions are increasingly embracing technology, recognizing its potential to drive business growth and overcome traditional operational limitations ( Arikan, et
14 al., 2022 ). Studies show a growing use of mobile technology, e-commerce, and digital financial services, reflecting a shift towards more technologically driven business models. However, the path to technology adoption in these economies is marked by distinct challenges. Limited access to affordable and reliable internet connectivity, lower levels of digital literacy, and financial constraints are prominent barriers. Furthermore, the lack of a robust digital infrastructure and supportive regulatory environments often hampers the full realization of technology's potential in these contexts. Comparing these factors to the Kenyan scenario, there are notable similarities, particularly in terms of infrastructural and financial challenges ( Mathivathanan, et al., 2022 ). However, Kenya stands out in some aspects, such as the widespread adoption of mobile money, which has significantly influenced SME operations. These contrasts highlight the diverse ways in which different emerging economies are navigating the landscape of technology adoption, shaped by their unique socio-economic contexts. 2.3.4 Empirical Studies on Kenyan SMEs and Technology Empirical studies focusing on Kenyan SMEs reveal a growing trend in the adoption of technology, which is becoming increasingly essential for business operations and growth. Research indicates a significant uptake of digital tools such as mobile technology, particularly mobile money services like M-Pesa, which have revolutionized payment systems in Kenya ( Chege, & Wang, (2020) . Additionally, SMEs are increasingly utilizing social media and e- commerce platforms to expand their market reach and customer engagement. Studies also highlight the use of basic digital tools for administrative purposes, including accounting software and customer databases. The impact of these technologies on Kenyan SMEs is multifaceted. Research findings suggest that technology adoption has led to improved operational efficiency, better market reach, and enhanced customer service. This adoption has also enabled SMEs to access new markets and increase their competitiveness, both locally and internationally ( Ndiege, 2019 ). However, the extent of technology adoption varies widely among SMEs, influenced by factors such as the industry sector, size of the enterprise, and the level of digital literacy among staff. Despite these variations, the overall trend points towards a positive correlation between technology adoption and business growth in the Kenyan SME sector.
15 2.4 Identifying Gaps In the process of analyzing the existing literature on the impact of technology in Small and Medium-Sized Enterprises (SMEs), particularly within the Kenyan context, several gaps have been identified. These gaps highlight areas where further research is necessary to deepen our understanding of how technology influences SMEs in Kenya. Firstly, there is a noticeable scarcity of comprehensive studies focusing specifically on the Kenyan SME sector's technology adoption patterns. While there are general studies on technology adoption in developing countries, few provide an in-depth analysis of the unique challenges and opportunities faced by Kenyan SMEs in this regard. Secondly, much of the existing literature tends to focus on the benefits and positive outcomes of technology adoption in SMEs, with less attention given to the challenges and barriers these enterprises face. There is a need for more balanced research that also delves into the difficulties, such as issues of digital literacy, infrastructure limitations, and financial constraints, that Kenyan SMEs encounter in adopting technology. Thirdly, there is a gap in studies exploring the long-term impact of technology on the growth and sustainability of SMEs in Kenya. While short-term benefits are often reported, there is less understanding of how technology adoption affects the long-term strategic development of these enterprises. Additionally, the role of government policies and support in facilitating technology adoption among SMEs in Kenya is not extensively covered in the existing literature. More research is needed to understand how governmental initiatives, or lack thereof, impact the ability of SMEs to integrate technology into their operations. Lastly, there is a lack of sector-specific studies examining how technology adoption varies across different industries within the Kenyan SME landscape. Given the diverse nature of SMEs, research that understands the specific technological needs and challenges of different sectors would be beneficial. 2.5 Critical Analysis The critical analysis of existing studies on technology adoption in Small and Medium- Sized Enterprises (SMEs) within the Kenyan context and other similar emerging economies reveals several noteworthy findings and patterns, alongside certain limitations.
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16 2.5.1 Evaluation of Kenyan Context Studies 1. Focus on Mobile Technology: Many studies in the Kenyan context highlight the significant impact of mobile technology on SMEs, particularly in facilitating financial transactions and communication ( Mugalo, 2021 ). The success of mobile platforms like M-Pesa is often cited as a transformative factor for SMEs, enhancing their financial inclusivity and operational efficiency. 2. E-Commerce and Digital Marketing: Research shows a growing trend in the adoption of e- commerce and digital marketing tools among Kenyan SMEs ( Kimana, 2020 ). This shift is driving a change in the way these businesses reach and interact with customers, although the depth of integration varies widely. 3. Challenges and Barriers: Studies frequently identify challenges such as inadequate digital infrastructure, lack of technical skills, and financial constraints as significant barriers to technology adoption in Kenyan SMEs ( Mwangi, et al., 2023 ). However, there's often a gap in these studies regarding the exploration of practical solutions to these challenges. 2.5.2 Analysis of Studies in Similar Emerging Economies 1. Variability in Technology Adoption: Research in other emerging economies indicates a varied level of technology adoption among SMEs, influenced by factors such as economic stability, government policies, and cultural attitudes towards technology. 2. Impact of Government Initiatives: In some economies, government initiatives and support play a crucial role in facilitating technology adoption among SMEs. These studies underscore the importance of policy frameworks and financial subsidies in encouraging SMEs to adopt new technologies. 3. Sector-specific Trends: Certain industries within these emerging economies are more advanced in adopting technology due to the nature of their operations, market demands, and customer expectations. For instance, the fintech and e-commerce sectors often show higher levels of technology integration compared to traditional sectors like agriculture. 2.5.3 Limitations of Current Research 1. Lack of Longitudinal Studies: There is a dearth of longitudinal research that tracks the long- term impact of technology adoption on the growth and sustainability of SMEs. 2. Insufficient Comparative Analysis: Few studies offer a comparative analysis between different emerging economies, which could provide deeper insights into the contextual factors influencing technology adoption.
17 3. Under-representation of Micro-SMEs: Research often overlooks the micro-SME segment, which faces unique challenges and opportunities in technology adoption. In conclusion, while existing studies provide valuable insights into the patterns and impacts of technology adoption among SMEs in Kenya and similar economies, there is a need for more comprehensive research. Future studies should focus on longitudinal impacts, comparative analyses, and inclusive research that covers a broader spectrum of SME segments, especially micro-SMEs. 2.6 Chapter Summary The literature review chapter of this study presents a comprehensive examination of the existing body of knowledge surrounding the impact of technology on Small and Medium-Sized Enterprises (SMEs), with a special focus on the Kenyan context. This chapter begins by providing a global overview of technology adoption trends in SMEs, highlighting the widespread integration of digital tools that enhance operational efficiency and market competitiveness. It underscores the benefits, such as improved operational efficiency and expanded market reach, alongside challenges like financial constraints and limited digital literacy, faced by SMEs globally in integrating technology. The review then narrows down to the specifics of emerging economies, drawing parallels with the Kenyan scenario. It brings to light unique regional challenges, such as infrastructural limitations and financial constraints, which shape the technology adoption landscape in these economies. Delving deeper into the Kenyan context, the chapter reviews empirical studies that specifically focus on Kenyan SMEs. These studies reveal a significant uptake of digital tools, particularly in mobile technology and e-commerce, demonstrating how technology adoption is influencing business operations and growth in the region. The review highlights the varying extent of technology adoption across different industries and sizes of SMEs, emphasizing the positive correlation between technology adoption and business growth. It also discusses the unique challenges faced by Kenyan SMEs, such as infrastructural issues and the digital divide, which affect the extent and nature of technology integration. This comprehensive review sets the groundwork for understanding the context and nuances of technology adoption in Kenyan SMEs, thereby framing the direction for the subsequent research phases.
18 3.0 RESEARCH DESIGN AND METHODOLOGY 3.1 Introduction This section focuses on the methodology employed to investigate the impact of technology on Small and Medium-Sized Enterprises (SMEs) in Kenya. This chapter begins with an introduction to the research design, explaining the rationale behind choosing a qualitative approach for this study. It outlines the specific research methods, including the selection of participants, data collection techniques, and the analytical framework to be utilized. This section is essential in detailing the systematic approach undertaken to ensure that the research findings are robust, credible, and relevant to the Kenyan SME context. 3.2 Philosophical Underpinnings The research design and methodology for a study on the impact of technology on SMEs in Kenya are anchored in a specific set of philosophical underpinnings, which guide the approach to knowledge acquisition and interpretation. The chosen research philosophy is a blend of positivism and interpretivism, tailored to suit the unique context of SMEs in Kenya. Positivism: This approach is grounded in the belief that reality is objective and can be observed and described from an independent standpoint, without interfering with the phenomena being studied ( Don-Solomon, & Eke, 2018 ). In the context of this research, positivism supports the use of quantitative methods to collect empirical data on technology adoption within Kenyan SMEs. This might include statistical analysis of survey data to quantify the level of technology integration and its impacts on business performance. The positivist approach allows for the establishment of generalizable and objective findings regarding trends, patterns, and correlations. Interpretivism: In contrast, interpretivism posits that reality is subjective, shaped by human experiences and interpretations ( Van der Walt, 2020 ). This perspective is particularly relevant for understanding the nuanced experiences, perceptions, and challenges of SMEs in adopting technology. Through an interpretivist lens, qualitative methods such as interviews and case studies will be employed to gather in-depth insights into the subjective experiences of SME owners and employees. This approach allows for a deeper understanding of the motivations, attitudes, and barriers related to technology adoption in SMEs, which might not be evident through quantitative data alone.
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19 The combination of positivism and interpretivism in this research design enables a comprehensive exploration of the research questions. While positivism will provide a broad overview of the state of technology adoption among SMEs in Kenya, interpretivism will offer detailed, contextual insights into how these businesses experience and navigate the process of technology integration. This methodological pluralism ensures that the research is both empirically grounded and contextually rich, providing a balanced perspective that is crucial for understanding the complex phenomenon of technology adoption in SMEs within the dynamic and diverse Kenyan business environment. 3.3 Research Design In this research proposal, a quantitative research design will be employed to systematically investigate the impact of technology on SMEs in Kenya. This design is selected due to its suitability for quantitatively measuring and analyzing the extent, nature, and effects of technology adoption within a structured framework (Mwenda, 2018). The quantitative approach allows for the collection of numerical data through surveys and questionnaires, which will be administered to a significant sample of Kenyan SMEs across various sectors. This method is ideal for obtaining a broad overview of technology adoption trends and for drawing generalizable conclusions about their impact on business performance and growth. The use of statistical analysis techniques will enable the identification of patterns, correlations, and potential causal relationships (Vinckx, et al., 2018). By contextualizing this research within a quantitative framework, the study aims to produce empirical findings that can be generalized to the wider population of SMEs in Kenya, providing valuable insights for policymakers, business leaders, and academics interested in the intersection of technology and business in emerging economies. 3.4 Alignment with Objectives The chosen qualitative research design aligns closely with and supports the study’s objectives in examining the impact of technology on Small and Medium-Sized Enterprises (SMEs) in Kenya. This alignment is evident in how the design facilitates the exploration of each objective: 1. Analyzing Technology Adoption in Kenyan SMEs: The qualitative approach enables a detailed exploration of the extent and nature of technology adoption among SMEs. Through methods like interviews and focus groups, the research will capture diverse perspectives and experiences, offering a rich understanding of how and why SMEs in Kenya adopt technology.
20 2. Assessing Impact on Operational Flexibility: Qualitative methods are ideal for understanding the nuances of how technology impacts the adaptability of SMEs to market changes and operational challenges. This approach allows for in-depth discussions with SME owners and employees, providing insights into the practical implications of technology on business flexibility. 3. Evaluating Influence on Competitiveness: The research design supports the objective of evaluating how technology enhances competitiveness. By engaging directly with SME stakeholders, the study will uncover real-world examples and narratives that illustrate the role of technology in improving market position, customer outreach, and performance. 4. Identifying Barriers to Technology Adoption: The exploratory nature of qualitative research is particularly suited to identifying challenges and barriers faced by SMEs in technology adoption. Open-ended conversations and case studies will reveal the complexities and obstacles that these enterprises encounter, which may not be apparent through quantitative data. The qualitative methodology, with its emphasis on subjective experience and depth of understanding, is inherently aligned with the study's objectives that focus on comprehensively exploring the various dimensions of technology adoption in SMEs. This approach will not only provide a detailed understanding of the current state of technology use in Kenyan SMEs but also offer insights into the broader implications of technology adoption for their growth and development. 3.5 Population, Sampling Design, and Data Collection Methods For the study on the impact of technology on SMEs in Kenya, the population, sampling design, and data collection methods are tailored to capture a comprehensive understanding of the subject matter within the Kenyan context. 3.5.1 Population The population for this study consists of Small and Medium-Sized Enterprises (SMEs) operating in Kenya. These SMEs span various industries, including but not limited to manufacturing, services, agriculture, and technology. The choice of this population is driven by the objective to explore the diverse experiences and impacts of technology across different sectors, which is representative of the Kenyan SME landscape.
21 3.5.2 Sampling Design In this quantitative study, the sampling design will utilize a systematic random sampling method to select Small and Medium-Sized Enterprises (SMEs) in Kenya. This approach involves creating a comprehensive list of Kenyan SMEs, categorized by factors such as industry sector and size. From this list, SMEs will be selected at regular intervals to ensure every business has an equal chance of being included in the study. This method is particularly advantageous for quantitative research, as it provides a representative and unbiased sample crucial for statistical analysis. The sample size will be carefully calculated to ensure statistical significance, enabling the generalization of the study’s findings to the broader population of Kenyan SMEs. In addition, the sample size will be determined using the Cochran formula, which is ideal for yielding statistically significant results in quantitative research. Considering the diverse population of SMEs in Kenya, a confidence level of 95% and a margin of error of 5% will be applied. The formula's computation, based on these parameters and the estimated population of SMEs in Kenya, will provide a sample size that accurately represents the target population, ensuring the findings are both reliable and generalizable. 3.5.3 Data Collection Methods In this quantitative study, a blend of primary and secondary data collection methods will be utilized to ensure a comprehensive understanding of the topic. The choice of these methods is driven by the need to obtain accurate, relevant, and diverse data that aligns with the research objectives. Questionnaire: The primary data collection will be conducted through structured questionnaires, designed to gather specific, quantifiable information from a broad range of SMEs. The questionnaire will include closed-ended questions to facilitate easy analysis and comparison of data. This method is chosen for its efficiency in collecting data from a large sample size and its effectiveness in obtaining standardized information that is essential for quantitative analysis. Interview Guide: To complement the questionnaires, a structured interview guide will be used for conducting telephone or in-person interviews with selected SME representatives. These interviews will provide deeper insights and clarify responses to questionnaire items. The structured nature of the interview guide will ensure consistency across all interviews while allowing for some degree of flexibility to explore specific responses further.
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22 Secondary Data Sheet/Checklist: Secondary data, including industry reports, government publications, and previous research studies, will be reviewed and compiled using a standardized data sheet/checklist. This secondary data will provide contextual background, support the findings from primary data, and help validate the research results. The use of secondary data is critical in offering a broader perspective and in ensuring the robustness of the research findings. 3.6 Reliability and Validity In this study, ensuring the reliability and validity of the data is paramount. For reliability, the study will employ consistent data collection procedures across all participants. The questionnaires and interview guides will be standardized, ensuring that each respondent is provided with the same set of questions in the same order. This consistency aids in reducing variability in the responses that could be attributed to the data collection process itself. To enhance validity, the research instruments – the questionnaire and interview guide – will be developed based on existing literature and theories relevant to technology adoption in SMEs. This ensures that the instruments are grounded in a solid theoretical framework ( Fritz, & Vandermause, 2018 ). Furthermore, the questionnaires and interview guides will undergo a pilot test with a small sample of SMEs. This pilot phase will help identify any ambiguities or biases in the questions, allowing for refinements before the full-scale data collection commences. The study will also employ statistical methods to test the validity and reliability of the data collected. Techniques such as Cronbach’s alpha will be used to assess the internal consistency of the questionnaire items. Construct validity will be evaluated by examining the correlations between different variables to ensure they align with the expected theoretical relationships. These measures will ensure that the data collected is both reliable and valid, providing a sound basis for drawing conclusions about the impact of technology on SMEs in Kenya. 3.7 Ethical Considerations In conducting research on the impact of technology on SMEs in Kenya, several ethical considerations must be meticulously addressed to ensure the integrity and ethical soundness of the study. Firstly, informed consent is paramount ( Arifin, 2018 ). Participants, including SME owners and employees, will be clearly informed about the purpose of the study, the nature of their involvement, and the use of the data collected. Consent will be obtained in writing, ensuring participants are voluntarily participating with a full understanding of the research.
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23 Confidentiality and privacy are also critical. Sensitive information about the SMEs and their operations, shared during interviews or focus groups, will be kept confidential. Identifying details will be anonymized in the study’s findings to protect the privacy of the participants and their businesses ( Colosi, et al., 2019 ). This is particularly important in maintaining trust and encouraging open and honest communication. Additionally, the study will adhere to principles of non-maleficence, ensuring that participation in the research does not harm the SMEs or individuals involved. This involves being sensitive to the time and resource constraints of SMEs and avoiding any disruption to their regular business operations. Cultural sensitivity is another crucial aspect, especially given the diverse social and economic landscape of Kenya. The research approach will respect local customs, norms, and business practices, ensuring that the data collection methods and interactions are culturally appropriate and respectful ( Viken, et al., 2021 ). Finally, the research will comply with all relevant legal and regulatory requirements related to data protection and research ethics in Kenya. This includes obtaining any necessary approvals or permits for conducting the research and adhering to guidelines on data storage and handling. 3.8 Data Analysis Methods In this study, the data analysis methods will be grounded in statistical techniques to ensure a rigorous and objective evaluation of the collected data. Initially, descriptive statistics will be employed to provide an overview of the data, including measures such as means, medians, modes, ranges, and standard deviations ( Mishra, et al., 2019 ). This approach will facilitate an understanding of the basic features of the dataset and offer a summary of the key trends and patterns observed in the responses. For inferential analysis, the study will utilize various statistical tests to examine relationships and differences within the data. Chi-square tests will be used for analyzing relationships between categorical variables, while t-tests and ANOVA (Analysis of Variance) will be employed for comparing means across different groups. These tests are instrumental in determining whether the observed patterns and relationships in the data are statistically significant ( Turhan, 2020 ). Furthermore, regression analysis will be conducted to investigate the relationships between independent variables (such as the type and extent of technology adoption) and dependent variables (like operational efficiency and business growth). This method will
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24 allow for the assessment of the predictive power of the independent variables and the strength of their relationship with the dependent variables. Additionally, factor analysis might be considered to identify underlying variables (factors) that explain the pattern of correlations within a set of observed variables. This can be particularly useful in understanding the dimensions of technology adoption and its impacts on SMEs. All statistical analyses will be conducted using appropriate software, such as SPSS or SAS, to ensure accuracy and efficiency. The choice of these methods aligns with the study's objective to quantitatively evaluate the impact of technology on Kenyan SMEs, providing a comprehensive and statistically sound analysis of the data.
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25 References Abisuga-Oyekunle, O. A., Patra, S. K., & Muchie, M. (2020). SMEs in sustainable development: Their role in poverty reduction and employment generation in sub-Saharan Africa. African Journal of Science, Technology, Innovation and Development , 12 (4), 405- 419. Ahmad, F., & Karim, M. (2019). Impacts of knowledge sharing: a review and directions for future research. Journal of workplace learning , 31 (3), 207-230. Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies , 2 (4), 314-324. Al Balushi, Y., Locke, S., & Boulanouar, Z. (2018). Islamic financial decision-making among SMEs in the Sultanate of Oman: An adaption of the theory of planned behaviour. Journal of Behavioral and Experimental Finance , 20 , 30-38. Arifin, S. R. M. (2018). Ethical considerations in qualitative study. International journal of care scholars , 1 (2), 30-33. Arikan, I., Arikan, A. M., & Shenkar, O. (2022). Revisiting emerging market multinational enterprise views: The Goldilocks story restated. Journal of International Business Studies , 1-22. Castleberry, A., & Nolen, A. (2018). Thematic analysis of qualitative research data: Is it as easy as it sounds?. Currents in pharmacy teaching and learning , 10 (6), 807-815. Chege, S. M., & Wang, D. (2020). The influence of technology innovation on SME performance through environmental sustainability practices in Kenya. Technology in Society , 60 , 101210. Chumphong, O., Srimai, S., & Potipiroon, W. (2020). The resource-based view, dynamic capabilities and SME performance for SMEs to become smart enterprises. ABAC ODI Journal Vision. Action. Outcome , 7 (2), 129. Colosi, H. A., Costache, C., & Colosi, I. A. (2019). Informational privacy, confidentiality and data security in research involving human subjects. Applied Medical Informatics , 41 , 16- 16. David, R. J., Tolbert, P. S., & Boghossian, J. (2019). Institutional theory in organization studies. In Oxford research encyclopedia of business and management .
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26 de Jesus Pacheco, D. A., ten Caten, C. S., Jung, C. F., Navas, H. V. G., & Cruz-Machado, V. A. (2018). Eco-innovation determinants in manufacturing SMEs from emerging markets: Systematic literature review and challenges. Journal of Engineering and Technology Management , 48 , 44-63. Dekel-Dachs, O., Najda-Janoszka, M., Stokes, P., Simba, A., & Tarba, S. (2021). Searching for a new perspective on institutional voids, networks and the internationalisation of SMEs in emerging economies: a systematic literature review. International Marketing Review , 38 (5), 879-899. Dias, Á. L., Manuel, E. C., Dutschke, G., Pereira, R., & Pereira, L. (2021). Economic crisis effects on SME dynamic capabilities. International Journal of Learning and Change , 13 (1), 63-80. Don-Solomon, A., & Eke, G. J. (2018). Ontological & epistemological philosophies underlying theory building: A scholarly dilemma or axiomatic illumination-The business research perspective. European Journal of Business and Innovation Research , 6 (2), 1-7. Fritz, R. L., & Vandermause, R. (2018). Data collection via in-depth email interviewing: Lessons from the field. Qualitative health research , 28 (10), 1640-1649. Gaur, A., & Kumar, M. (2018). A systematic approach to conducting review studies: An assessment of content analysis in 25 years of IB research. Journal of World Business , 53 (2), 280-289. Herman, L., & Vervaeck, B. (2019). Handbook of narrative analysis . U of Nebraska Press. Homer, S. T., & Lim, W. M. (2023). Theory development in a globalized world: Bridging “Doing as the Romans Do” with “Understanding Why the Romans Do It”. Global Business and Organizational Excellence . Kapoor, M., & Aggarwal, V. (2020). Tracing the economics behind dynamic capabilities theory. International Journal of Innovation Science , 12 (2), 187-201. Kimana, V. (2020). Factors affecting E-commerce adoption among Small andMedium Enterprises (SMEs) in Developing Countries: The Context of Kenya. Makhdoom, H. U. R., Li, C., & Asim, S. (2019). Diffusion of innovation through individual and collective entrepreneurship: An empirical investigation in SMEs. Asia Pacific Journal of Innovation and Entrepreneurship , 13 (1), 89-107.
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27 Mallinguh, E., Wasike, C., & Zoltan, Z. (2020). Technology acquisition and smes performance, the role of innovation, export and the perception of owner-managers. Journal of Risk and Financial Management , 13 (11), 258. Mathivathanan, D., Mathiyazhagan, K., Khorana, S., Rana, N. P., & Arora, B. (2022). Drivers of circular economy for small and medium enterprises: Case study on the Indian state of Tamil Nadu. Journal of Business Research , 149 , 997-1015. Miller, D. (2019). The resource-based view of the firm. In Oxford Research Encyclopedia of Business and Management . Mishra, P., Pandey, C. M., Singh, U., Gupta, A., Sahu, C., & Keshri, A. (2019). Descriptive statistics and normality tests for statistical data. Annals of cardiac anaesthesia , 22 (1), 67. Mudalige, D., Ismail, N. A., & Malek, M. A. (2019). Exploring the role of individual level and firm level dynamic capabilities in SMEs’ internationalization. Journal of international Entrepreneurship , 17 , 41-74. Mugalo, P. K. (2021). Effect of Mobile Phone Technology on Performance of Micro and Small- Scale Enterprises in Kakamega County (Doctoral dissertation, KeMU). Mutenyo, J., Buyinza, F., & Ssenono, V. (2022). Digital Divides or Dividends? Including Basic Services in Africa’s Digitalization Agenda: Evidence from Uganda. INCLUDE. Muturi, W., & Njeru, A. (2019). Effect of equity finance on financial performance of small and medium enterprises in Kenya. International Journal of Business and Social Science , 10 (5), 60-75. Mwangi, N. K., Njiraini, R. N., & Waweru, M. K. (2023). The Impact of Digital Transformation on Small and Medium-Sized Enterprises (SMEs) in Kenya. International Journal of Entrepreneurship, Innovation, and Business Strategies , 2 (1), 1-8. Mwenda, M. J. (2018). The Use Of Information Communication Technology And Performance Of Micro And Small Enterprises In Kenya: A Case Study Of Selected Smes In Isiolo County (Doctoral dissertation, University of Nairobi). Najib, M., & Fahma, F. (2020). Investigating the adoption of digital payment system through an extended technology acceptance model: An insight from the Indonesian small and medium enterprises. International Journal on Advanced Science, Engineering and Information Technology , 10 (4), 1702-1708.
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28 Naradda Gamage, S. K., Ekanayake, E. M. S., Abeyrathne, G. A. K. N. J., Prasanna, R. P. I. R., Jayasundara, J. M. S. B., & Rajapakshe, P. S. K. (2020). A review of global challenges and survival strategies of small and medium enterprises (SMEs). Economies , 8 (4), 79. Ndiege, J. R. A. (2019). Social media technology for the strategic positioning of small and medium‐sized enterprises: Empirical evidence from Kenya. The Electronic Journal of Information Systems in Developing Countries , 85 (2), e12069. Oduro, S. (2019). Examining open innovation practices in low-tech SMEs: Insights from an emerging market. Journal of Science and Technology Policy Management , 10 (3), 509- 532. Omondi, R. I., & Jagongo, A. (2018). Microfinance services and financial performance of small and medium enterprises of youth SMEs in Kisumu County, Kenya. International academic journal of economics and finance , 3 (1), 24-43. Pech, M., & Vrchota, J. (2020). Classification of small-and medium-sized enterprises based on the level of industry 4.0 implementation. Applied Sciences , 10 (15), 5150. Purnamasari, P., Pramono, I. P., Haryatiningsih, R., Ismail, S. A., & Shafie, R. (2020). Technology acceptance model of financial technology in micro, small, and medium enterprises (MSME) in Indonesia. The Journal of Asian Finance, Economics and Business (JAFEB) , 7 (10), 981-988. Putro, A. N. S., Mokodenseho, S., Hunawa, N. A., Mokoginta, M., & Marjoni, E. R. M. (2023). Enhancing Security And Reliability Of Information Systems Through Blockchain Technology: A Case Study On Impacts And Potential. West Science Information System And Technology , 1 (01), 35-43. Roberts, P., & Kaushal, S. (2020). Competitive Advantage and Rules in Persistent Competitions. Occasional Papers. RUSI. April , 29 . Rokhim, R., Wulandari, P., & Mayasari, I. (2018). Small medium enterprises technology acceptance model: A conceptual review. International Journal of Business and Society , 19 (S4), 689-699. Safari, A., & Saleh, A. S. (2020). Key determinants of SMEs’ export performance: a resource- based view and contingency theory approach using potential mediators. Journal of Business & Industrial Marketing , 35 (4), 635-654.
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29 Saridakis, G., Lai, Y., Mohammed, A. M., & Hansen, J. M. (2018). Industry characteristics, stages of E-commerce communications, and entrepreneurs and SMEs revenue growth. Technological Forecasting and Social Change , 128 , 56-66. Shaikh, D. A. A., Kumar, M. A., Syed, D. A. A., & Shaikh, M. Z. (2021). A two-decade literature review on challenges faced by SMEs in technology adoption. Academy of Marketing Studies Journal , 25 (3). Sharma, S., Kadayat, Y., & Tyagi, R. (2023, August). Sustainable Global Democratic e- Governance System Using Vedic Scripture, Artificial Intelligence, Cloud Computing and Augmented Reality. In 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT) (pp. 113-118). IEEE. Shibin, K. T., Dubey, R., Gunasekaran, A., Hazen, B., Roubaud, D., Gupta, S., & Foropon, C. (2020). Examining sustainable supply chain management of SMEs using resource based view and institutional theory. Annals of Operations Research , 290 , 301-326. Singh, G., Sharma, S., Sharma, R., & Dwivedi, Y. K. (2021). Investigating environmental sustainability in small family-owned businesses: Integration of religiosity, ethical judgment, and theory of planned behavior. Technological Forecasting and Social Change , 173 , 121094. Singh, M. P., Chakraborty, A., & Roy, M. (2018). Developing an extended theory of planned behavior model to explore circular economy readiness in manufacturing MSMEs, India. Resources, Conservation and Recycling , 135 , 313-322. Turhan, N. S. (2020). Karl Pearson's Chi-Square Tests. Educational Research and Reviews , 16 (9), 575-580. Van der Walt, J. L. (2020). Interpretivism-constructivism as a research method in the humanities and social sciences–more to it than meets the eye. International Journal of Philosophy and Theology , 8 (1), 59-68. Viken, A., Höckert, E., & Grimwood, B. S. (2021). Cultural sensitivity: Engaging difference in tourism. Annals of Tourism Research , 89 , 103223. Vinckx, M. A., Bossuyt, I., & de Casterlé, B. D. (2018). Understanding the complexity of working under time pressure in oncology nursing: A grounded theory study. International journal of nursing studies , 87 , 60-68.
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30 Wairimu, A. (2020). Influence of internet on SMEs internationalization process: a case of select SMEs (Doctoral dissertation, University of Nairobi). Yousuf, A., Haddad, H., Pakurár, M., Kozlovskyi, S., Mohylova, A., Shlapak, O., & János, F. (2019). The effect of operational flexibility on performance: a field study on small and medium-sized industrial companies in Jordan. Yuen, K. F., Cai, L., Qi, G., & Wang, X. (2021). Factors influencing autonomous vehicle adoption: An application of the technology acceptance model and innovation diffusion theory. Technology Analysis & Strategic Management , 33 (5), 505-519.
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