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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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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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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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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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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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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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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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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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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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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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