Saudi Cultural Missions Theses & Dissertations
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Item Restricted Integrating Digital Technologies with Customer Relationship Management (CRM) to Enhance Customer Satisfaction and Loyalty in Luxury Hotels(Manchester metropolitan university, 2024) Assiri, Tarek; Cosser, GillianThis study investigates the integration of digital technologies—namely Artificial Intelligence (AI), Internet of Things (IoT), and Big Data analytics—into Customer Relationship Management (CRM) systems in luxury hotels. The research evaluates the impact of these technologies on customer satisfaction and loyalty through a quantitative approach, utilizing data from surveys conducted with hotel front-office employees. Findings reveal a varied adoption of digital tools, with IoT significantly enhancing operational efficiency, Big Data analytics improving customer retention strategies, and AI demonstrating underutilization due to staff training challenges. The study underscores the importance of aligning technology adoption with employee proficiency and guest expectations to optimize CRM effectiveness. Strategic recommendations include enhanced staff training programs, expansion of IoT applications, and leveraging Big Data for predictive analytics to strengthen customer relationships in the luxury hospitality sector. Limitations, such as the focus on luxury hotels and the exclusion of guest perspectives, highlight areas for future research7 0Item Restricted Integrating Industry 4.0 in Project Management: A Systematic Literature Review(De MontFort University, 2024-09-20) almehaize, Ghannam nasser; Oyinlola, AdewaleThis thesis investigates Industry 4.0 technologies with the aim of integrating them into project management methodologies to improve efficiency, decision-making, and overall project success. The study investigates the existing studies on the influence of these technologies on project management processes and evaluates the present status of their integration across a variety of sectors. This is accomplished via a comprehensive examination of the available literature and studies. Industry 4.0 technologies have the potential to revolutionise project management by enabling the sharing and analysis of real-time data, according to the results. In addition, they present challenges regarding organisational culture, communication, and skill limitations. This thesis shows that project managers need technical understanding, leadership, and flexibility. This thesis ultimately emphasises the potential of Industry 4.0 technologies to enhance project performance, while also emphasising the need for organisations to modify their project management frameworks in order to prosper in a digital environment that is swiftly evolving. In order to enable organisations to fully realise the promise of these technologies for successful and sustainable development, the study's conclusion calls for further research to develop frameworks that facilitate the effective integration of these technologies.11 0Item Restricted Big Data Analytics Socio-Technical Systems on Strategic Decision Making and Organisational Performance: Case of Saudi Arabian Higher Education.(University of Technology Sydney, 2024-06-23) Aseeri, Maher Mohammed; Kang, Kyeong; Sohaib, OsamaBig Data Analytics (BDA) is an emerging technology that has revolutionised varied fields such as Higher Education Institutions (HEIs), healthcare, governments, and private sectors. BDA technologies allow firms to quickly access, analyse and visualise a variety of big data that could improve executives' decision-making. As a result, improving decision-making will lead to enhance overall organisational performance. Although a significant amount of research exists on BDA in higher education institutions, studies that combine socio-technical aspect that support BDA in Saudi HEIs is lacking. In particular, applying mixed methods to explore the influence of socio-technical aspects that support BDA in Saudi HEIs. Hence, this research investigates the socio-technical subsystem that supports big data analytics and its role in improving top management decisions and the overall performance of Saudi HEIs. This research applied socio-technical theory for the proposed model based on the ontological postpositive for the quantitative method and the interpretivism paradigm for the qualitative method. Considering the research gap provided above, this study applied a mixed methods approach for data collection. Besides, we applied a cross-sectional survey for the quantitative data, whereas the qualitative data applied semi-structured interviews. The sample population involved the IT staff and data scientists, representing the big data performers (BDP) and top management in the Saudi HEIs. Quantitative data was collected using validated scales of previous studies, and the hypotheses were evaluated using PLS-SEM. Consequently, qualitative data were analysed using N-Vivo 12 pro, and a thematic analysis technique was applied, which formed themes and patterns that were then combined with the outcomes of the "quantitative results". In light of the findings, the PLS-SEM analysis conducted to test the hypotheses highlighted the significance of BDP on Big Data Systems (BDS), i.e., security, privacy, and quality. However, the results revealed the insignificance of organisational culture in big data systems (BDS), although having a positive value. Nonetheless, the organisational culture significantly impacted BDP, implying the influence of a data-driven culture and supportive top management on the workforce's attitude towards BDA-related change and skill development. Besides, the social and technical subsystems of the BDA— the BDS vii and BDP— are significantly correlated, along with their correlation with strategic decision-making. The study's implications comprised insights guiding the managers and policymakers to acknowledge the importance of organisational culture (hierarchical, adhocratic, market, and clan) while strategising the implementation of BDA and its systems and developing training modules for its BDP accordingly. Furthermore, the study's application of the socio-technical systems (STS) theory would help practitioners and policymakers address the existing challenges in the OC, BDS and BDP to ensure efficient BDA generating quality, certain and error-free data supporting high-end decision-making.25 0