SACM - United Kingdom

Permanent URI for this collectionhttps://drepo.sdl.edu.sa/handle/20.500.14154/9667

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    EVENT OPERATION MANAGEMENT FOR HIKING SPORTS ACTIVITIES IN AL-ULA SAUDI ARABIA
    (Leeds Beckett University, 2024-12-17) Alanazi, Meshal; Dan, Lomax
    This research aims to explore the role of event operation management in organising hiking sports activities in the Al-Ula area within Saudi Arabia. This is done through focusing on the challenges, responsibilities and innovative strategies employed by event managers. The study adopts a qualitative approach within an interpretive paradigm by using a case study strategy to understand the unique context of Al-Ula. Semi-structured interviews were conducted with six event operation managers experienced in managing outdoor adventure activities and thematic analysis was employed to identify key themes from the qualitative data. The findings reveal that successful event operation management for hiking activities hinges on comprehensive planning, effective use of technology, collaboration with local experts and balancing sustainability with participant safety and engagement. Key responsibilities identified include efficient resource allocation, proactive risk management and maintaining participant safety. Major challenges involve logistical difficulties in remote areas, unpredictable environmental conditions and managing diverse participant needs. Innovative strategies such as GPS tracking as well as utilising sustainable materials and local partnerships were highlighted as critical for ensuring smooth and interruption-free hiking events. The study proposes a conceptual framework for adaptive event management for outdoor sports which integrates dynamic risk management, sustainable practices, technology and local expertise to enhance both operational efficiency and participant satisfaction. One main limitation of the research is its narrow geographical scope which is considering solely on hiking activities in Al- Ula. This would limit the generalisability of findings to other locations or types of events. Future research should consider expanding the scope to include diverse geographical areas and applying a mixed-methods approach to further validate the findings. The results contribute to the understanding of effective event management practices in outdoor settings mainly in challenging environments like Al-Ula
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    Strategic Growth and Market Expansion for Cocktail: Consultancy Project Report
    (Kingston University, 2024) Aleidan, Abdullh E; Mostert, Andre M
    This project examines Cocktail's strategic efforts to revolutionize Saudi Arabia's non-alcoholic beverage market by offering premium, culturally appropriate alternatives. Despite its innovative offerings, such as non-alcoholic tequila, Cocktail faces challenges in distinguishing itself within a competitive landscape while maintaining cultural relevance. The project leverages the Balanced Scorecard (BSC) and Ansoff Matrix frameworks to address key objectives, including enhancing social media engagement and online sales, reducing inventory costs, and expanding into new markets. Data from industry reports, interviews, and surveys reveal insights on improving social media authenticity, e-commerce user experience, and supplier relationships. Recommendations include structured social media strategies, optimized e-commerce platforms, and strategic market and product development, aligning with BSC and Ansoff Matrix strategies. This approach aims to position Cocktail as a leader in the non-alcoholic beverage sector and achieve sustainable growth.
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    Integrating Digital Technologies with Customer Relationship Management (CRM) to Enhance Customer Satisfaction and Loyalty in Luxury Hotels
    (Manchester metropolitan university, 2024) Assiri, Tarek; Cosser, Gillian
    This 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 research
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    Organisational Development and Change Management
    (Kingston University, 2024) Almutlaq, Abdulaziz; Fragouli, Evangelia
    This report explores the challenges faced by Blue and Green Technology, a leading printing software and design company in Turkey, during its attempt to implement organisational change. Despite its market presence for over a decade, the company has struggled with a lack of clear organisational structure, poor communication channels, and undefined employee roles, which have hindered its professional growth and customer relations. Using Kotter's Change Management Model and Fogg's Behaviour Model as theoretical frameworks, the report identifies key issues such as the absence of a strategic vision, failure to remove barriers to change, and inadequate communication as primary reasons for the unsuccessful change initiative led by sales manager Neyla. The report further recommends a structured research approach using survey questionnaires and purposive sampling to gather insights from employees about their perceptions of the current organisational structure and barriers to change. Emphasizing the importance of clearly defined roles, transparent communication, and employee involvement, the report concludes with practical suggestions for improving the organisational structure and overcoming resistance to change. Implementing these strategies is expected to enhance the company's operational efficiency, employee morale, and overall business performance.
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    Integration of Artificial Intelligence in Supply Chain Management: A Case Study of Toyota Motor Corporation
    (University of Gloucestershire, 2024-08) AlQuwaie, Thamer Adeeb; Plummer, David; Rasheed, Muhammad Babar; Zhang, Shujun
    This study examines AI deployment in Toyota Motor Corporation's supply chain management. By analysing the literature and interviewing key workers from Toyota, the research illustrates how AI technologies enhance logistics, demand forecasting, inventory management, and procurement. AI-driven predictive analytics and automation improved decision-making accuracy, operational efficiency, and cost savings. The research notes low data quality, expensive initial costs, and staff unwillingness to change as important impediments. The research suggests continual training, robust data management rules, and gradual AI deployment to solve these issues. The research also emphasises the importance of human factors in AI integration, including open communication and worker engagement for smooth adjustments. The research found that high management and departmental collaboration are needed to use AI technology successfully. Future research should include cross-sector and cross-regional comparisons, longitudinal studies to track impacts, and more work on social and ethical concerns. This research analyses Toyota's AI integration to provide supply chain AI users information and advice.

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