Saudi Cultural Missions Theses & Dissertations

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    Barriers to adoption of cloud computing faced by SMEs across Saudi Arabia: A quantitative study
    (University of Portsmouth, 2024-09) Alsubaiy, Eman Shabib; Kagalidis, Ioannis
    This research investigates the barriers to cloud computing adoption among small and medium enterprises (SMEs) in Saudi Arabia, a critical focus given the country's Vision 2030 objectives to enhance contribution of SMEs to GDP. The rationale originates from the low cloud adoption rate among Saudi SMEs, despite the significant benefits cloud technology offers in improving operational efficiency and competitiveness. The study aims to identify the key barriers to cloud adoption, assess how demographic factors such as industry type, gender, and education level influence these barriers, and develop targeted recommendations to increase adoption rates. The literature review highlighted several potential barriers, including knowledge gaps, lack of management support, information security concerns, insufficient IT capabilities, and provider lock-in risks. Hypotheses were developed to test these barriers using quantitative methods. A survey was conducted among 84 Saudi SME owners and managers, and the data were analysed using descriptive statistics, correlation, regression, and independent sample t-tests. The findings reveal that information security concerns and lack of skilled IT staff are the most significant barriers to cloud adoption. Additionally, manufacturing SMEs and less educated owners are less likely to adopt cloud technologies. Gender, however, does not significantly impact adoption decisions. The study concludes that addressing these key barriers, particularly through enhanced cybersecurity measures and targeted IT training, is essential for increasing cloud adoption among Saudi SMEs. Recommendations include tailored security solutions, skill development programs, and sector-specific support, particularly for the manufacturing industry.
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    Assessing the Impacts of the Digital Divide on the Operational Efficiency of Saudi Small and Medium Enterprises (SMEs)
    (University of Salford, 2024) Almohaish, Mohammed Khalid; Banu Ali, Mohammed
    This dissertation investigates the challenges and opportunities for digital technology adoption in small and medium-sized businesses (SMEs), using critical systems thinking as a framework. The study provides key insights into the digital transformation landscape of SMEs through a thorough literature review and empirical analysis. It identifies significant barriers, such as infrastructure gaps and digital literacy challenges, and emphasises the importance of tailored training programmes and comprehensive strategies for dealing with cybersecurity threats and a limited web presence. Cultural and social factors also influence technology adoption, necessitating contextually tailored approaches. Moving forward, the success of SMEs is dependent on addressing infrastructure deficiencies, promoting digital literacy, encouraging industry collaboration, and ensuring equitable access to technology. The study makes practical recommendations for policymakers, industry stakeholders, and SME owners/managers, while also advocating for additional research to investigate emerging trends and assess the effectiveness of proposed strategies in increasing SME competitiveness in the digital economy.
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    Beyond the Game: Information Systems, Infrastructure, and the Growth of eSports
    (London School of Economics and Political Science, 2023-11-13) Alwaalan, Sara; Avgerou, Chrisanthi
    This study explores the multifaceted nature of eSports, focusing on competitive video gaming as a global phenomenon. The study aims to investigate the factors driving the expansion of the eSports industry and how it is examined within the information systems discipline. The introduction provides an overview of the growing popularity of eSports and its impact on various aspects, such as technology, economics, and sociocultural dynamics. The problem being addressed is the need to understand the complex ecosystem of eSports, including technological infrastructure, organizational structures, and the interaction between social and technical systems. The methods used in this study involve a qualitative inquiry through interviews with five key participants in the eSports industry, specifically the managing team of the Saudi eSports Federation. Moreover, Thematic Analysis was used to analyse the data and identify patterns and themes. The results of the study provide insights into the perspectives and experiences of the managing team of the Saudi eSports Federation and presents them in the form of identified themes. Future work is highlighted in the limitations of the study and the need for further research to generalise the findings and explore other contexts within the eSports industry.
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    Applying Push-Pull-Mooring model to investigate non-malicious workarounds behavior
    (Saudi Digital Library, 2023) Aljohani, Nawaf; Warkentin, Merrill
    More than half of the violations of information systems security policies are initiated by non-malicious activities of insiders. To investigate these non-malicious activities, we utilized the theory of workaround and argued that the application of neutralization techniques impacts the use of workarounds. We built our model using three theories: the theory of workaround, push pull-mooring theory, and techniques of neutralization. We identified the elements of workarounds related to non-malicious violations and proposed a theoretical perspective using the push-pull-mooring theory to investigate non-malicious workarounds empirically. We propose that non-malicious activities of insiders can be seen as a switching behavior, with push factors such as system dissatisfaction and time pressure, and pull factors such as convenience and alternative attractiveness. The mooring factors in our model are techniques of neutralization, including denial of injury, denial of responsibility, and defense of necessity. We employed the scenario-based factorial survey method to mitigate the effect of social desirability bias. Our mixed model analysis indicates that time pressure, convenience, denial of injury, and defense of necessity significantly impact an individual's likelihood of engaging in non-malicious workarounds. Additionally, the relative weight analysis of our model shows that convenience and time pressure explain most of the variance in our model.
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    Acceptance of Internet of Things-based Innovations for Improving Healthcare in Saudi Arabia
    (Saudi Digital Library, 2023-09-27) Masmali, Feisal; Miah, Shah
    The rapid evolution of Information Systems (IS) has ushered in a new era of digital transformation, with the Internet of Things (IoT) at the forefront. This research delves into the acceptance and integration of IoT-oriented IS applications in the healthcare sector of Saudi Arabia. With the primary objective of understanding the factors influencing the acceptance of IoT innovations in healthcare, this study offers a comprehensive analysis to capture the influence in terms of the potential benefits, challenges, and implications of integrating IoT into healthcare service delivery. Impact of IoT in IS, a paradigm shift in technology, enables essential objects equipped with sensors and software systems to communicate and exchange data over the Internet. This capability has revolutionized various industries, with healthcare being a notable beneficiary. The global healthcare sector has witnessed a surge in the acceptance of IoT innovations, particularly in remote public-healthcare atmospheres where patient monitoring and management are of paramount task. Thus, studying the impact of IoT may bring new insights for both researchers and practitioners that could contribute to create new knowledge in the target body of IS literature. In the country context of Saudi Arabia, the integration of IoT in healthcare systems presents a plethora of opportunities. The Saudi Arabian government has been proactive in endorsing the adoption of IoT technologies, establishing regulations, and fostering public-private partnerships to drive innovation. With the country's robust Internet infrastructure and government-backed initiatives like electronic health records and telehealth services, the potential for the IoT influence in relation to acceptance and integration in healthcare systems practices is immense, however existing studies are limited in this sub-field. A comprehensive study towards full-scale of IoT oriented system adoption in healthcare holds a lot of emerging challenges. This is related to data protection, privacy, infrastructure limitations, compliances and cybersecurity are of critical elements for further exploration. Additionally, issues like interoperability, financial constraints, and talent shortages need to be addressed to ensure seamless integration. Thus, it is imperative to develop new systematic empirical study in this subfield. This research adopts a mixed-methods approach, combining qualitative interviews with quantitative surveys, to investigate the aspects through a holistic viewpoint for developing new understanding to fill the significant knowledge gap in the IS literature. The qualitative phase, conducted with key stakeholders in Saudi Arabia's healthcare sector, offers in-depth insights into the current landscape and potential future trajectories. These findings then inform the quantitative phase, which aims to capture broader trends of IoT acceptance within the sector. These findings are consistent with a combined aspect of the Technology Acceptance Model (TAM) and the Diffusion of Innovation Model (DOI), which suggest that successful adoption and integration of IoT into healthcare systems requires knowledge, familiarity, and recognition of the usage of IoT. The PhD thesis is based on the combined theoretical underpinnings of Information Systems (IS) design, technology acceptance, and diffusion of innovations. In terms of technology acceptance, our study concentrates on the acceptance of Internet of Things-oriented IS applications and various service provisions, especially innovative ones, that practitioners in the healthcare sector can deploy and in terms of the diffusion of innovations it brings the practitioners view on the cutting-edge application of IoT in the aspect of IS design. That is why, the study's theoretical foundation is rooted in the combined framework of the Technology Acceptance Model (TAM) and the Diffusion of Innovation (DOI). This integrated model offers a comprehensive perspective on the multifaceted nature of technology acceptance, encompassing both individual perceptions and broader organizational influences. Key findings from the research highlight the pivotal role of knowledge and awareness in the successful implementation of IoT. The perceived benefits of IoT, such as enhanced patient care, improved communication, and streamlined processes, act as strong motivators for adoption. However, challenges related to system compatibility, training requirements, and financial constraints emerge as potential barriers. The thesis underscores the need for targeted interventions, strategic planning, and resource allocation to overcome these challenges. In summary, the acceptance of IoT in Saudi Arabia's healthcare sector holds the promise of transformative change. While the benefits are manifold, a strategic approach, underpinned by a deep understanding of the challenges, is crucial. This research contributes significantly to the literature on IoT adoption in healthcare, offering valuable insights of new knowledge that may be used as recommendations for policymakers, healthcare professionals, and researchers. The findings serve as a beacon for future endeavours aimed at harnessing the power of IoT for a healthier and more efficient healthcare system design in Saudi Arabia.
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    Developing and Assessing a Holistic eLearning 4.0 Model for Higher Education in Saudi Arabia
    (Saudi Digital Library, 2023-12) Alnassar, Mohammad; Issa, T
    The lives of people worldwide have changed as a result of the rapid technological advancements in many industries. Technology has also transformed the way that knowledge is presented to students, notably throughout the eLearning 1.0, 2.0, and 3.0 stages, and has helped to diversify the teaching and learning methods applied in the education sector. According to the literature, there are few issues pertaining to the Semantic Web (eLearning 3.0) that have yet to be thoroughly examined. However, because eLearning 4.0 is the latest generation of eLearning, relatively few researchers have considered the factors and sub- factors that facilitate its implementation. The factors and sub-factors that need to be taken into account for the effective implementation of eLearning 􏰀.􏰁 in Saudi Arabia’s higher education sector to realise its Vision 2030 goal of achieving excellence in education and technology and address issues with the present higher education system, have attracted only a small amount of research attention. There is also a lack of models that may facilitate the successful and effective application of eLearning 4.0 in Saudi Arabia. The purpose of this study is to bridge these research gaps by offering an eLearning 4.0 model and recommendations as a road map for stakeholders in light of eLearning 4.0's relatively recent appearance. A holistic eLearning 4.0 model for higher education in Saudi Arabia will be proposed to facilitate the integration of eLearning 4.0 and its technologies in the higher education sector. This study contributes to the research field in two main ways. The first contribution of this research is a model that identifies the factors and sub-factors essential for the integration of eLearning 4.0 at institutions in Saudi Arabia. It is aligned with one of Saudi Arabia’s Vision 2030 goals: to promote education and technology based on achievable KPIs. Second, the findings of this study offer a quantitative and qualitative indication of how higher education institutions in Saudi Arabia perceive and are aware of the possible application of eLearning 4.0. Although the scope of this research was restricted to the perspectives of academic staff and students at education institutions in Saudi Arabia, the findings, model, and recommendations of this research provide guidelines regarding the factors and sub-factors that need to be taken into consideration in order to successfully implement eLearning 4.0 for stakeholders in higher education.
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    Information Systems and Organisational Culture: The Case Study of CRM System in Organisation T
    (Saudi Digital Library, 2023-11-29) Abdulsalam, Thekra Ahmed M; Sarker, Saonee
    In the era of technological advancement, the relationship between humans and systems is constantly evolving. In an organisational context, understanding the underlying dynamics of such relationship is key to navigate through digital change. The capabilities of humans and systems can be realised once this understanding is achieved. Therefore, this research explores the subject matter by studying the impact of advanced CRM systems on organisational culture. The case study approach is used to interpret perceptions of Organisation T in relevance to the cultural shifts resulting from CRM system implementation. Six themes emerge as the research findings: Autonomy Aided by the Use of Technology, Sense of Belonging and Synergy, Amplified Visibility and Recognition, Clarity of Strategic Outlook, Accelerated Responsiveness, and Enthusiasm towards Collective Growth. Furthermore, the themes are reviewed against the Competing Values Framework and found to align with three culture types: Market, Clan, and Adhocracy cultures. The themes representing the impact on organisational culture are the result of the interplay between the CRM system and the context it exists within. Therefore, this research adopts a humanised lens to shed light on the nature of shifts brought upon organisational culture by the CRM system.
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