Browsing by Author "Alyami, Mohammed"

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Evaluating the Effectiveness of Process Safety and Loss Prevention Measures in the Water Desalination Industry: A Survey Study in Saudi Arabia
(University of Sheffield, 2024-09) Alyami, Mohammed; Cordiner, Joan
In the context of Saudi Arabia’s growing reliance on desalination for water supply, the safety management of desalination plants is critical yet under-researched, particularly concerning the integration of process safety and loss prevention measures. This study aims to fill this gap by examining the effectiveness of these safety measures, focusing on factors such as safety awareness, technological advancements, emergency response protocols, organizational culture, communication, and environmental sustainability practices. This research was conducted through an online survey using the Qualtrics platform, targeting 150 participants in Saudi Arabia’s desalination sector. Participants were selected using convenience sampling, representing diverse roles and professional experiences. Data were analysed using SPSS Version 28, with descriptive and inferential statistical tools employed to assess the relationships between the variables across six key safety scales. Of the 150 participants, 60% were male and 40% were female. The study tested six hypotheses on the effectiveness of safety and environmental practices in desalination plants. A significant positive correlation was found between safety awareness and the effectiveness of safety measures, supported by a mean score of 4.23 with a p-value of <0.001. Similarly, the reliability of modern safety technology was positively correlated with safety effectiveness (Spearman’s rho = 0.387, p < 0.001). However, the study revealed that communication during emergencies, while generally effective, showed areas for improvement. The analysis also highlighted that robust environmental safety practices are positively associated with enhanced safety outcomes, with a Kruskal-Wallis H test result showing a significant difference across varying levels of environmental practices (p = 0.005). The findings underscore the importance of comprehensive safety management in Saudi Arabia’s desalination industry, revealing strengths and areas needing improvement. Advanced technologies and a strong safety culture are critical for enhancing operational safety, but attention must also be given to improving communication and specific environmental initiatives. These insights offer a valuable reference for industry stakeholders and policymakers aiming to enhance safety protocols in desalination operations, suggesting the need for continued research into integrating technological advancements with effective safety management practices.
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The Adoption of CloudComputing: TowardsEnhancing EGovernment Systems in the Saudi Public Sector
(2023-07-27) Alyami, Mohammed; Schaefer, Dirk
Governments are always trying to find ways to improve their services to citizens; and in order to achieve this they need to restructure their processes and use information technology (IT) effectively. Pressure to do this comes from citizens who increasingly have access to digital technologies and expect better e-services from their governments. Public sector organisations in Saudi Arabia, therefore, need to proactively implement technological innovation to enhance their services. One way to achieve this is to develop a cloud computing infrastructure and the appropriate applications. Cloud computing is understood, however, more needs to be known about how it impacts public service organisations and the provision of services. This research aims to identify and discuss the importance of particular factors pertaining to the fitness and viability of adopting the cloud for Saudi public organisations. The model that forms the theoretical framework for this integrates the Diffusion of Innovation (DOI) theory and the Fit Viability Model (FVM). The cloud computing adoption performance within Saudi public organizations, together with determining the best cloud model for these organizations are also discussed in this research. This research adopts a mixed methodology which includes one survey conducted with 408 IT staff and 21 IT experts for the second and third surveys. The analysis of quantitative data was processed by structural equation modelling (SEM) and descriptive statistics. The qualitative analysis phase was conducted using semi-structured interviews with IT heads and experts in four government organizations to deeply understand and analyse the research problem and to find the optimal solution that would lead decision makers to cloud adoption. The thematic analysis approach was chosen to analyse the qualitative data. The outcomes confirmed that the proposed model worked well and the quantitative data collected showed that fit, viability, task, relative advantage, compatibility, trialability, top management support, IT skills, ROI and asset specificity had a direct and significant effect on the adoption of cloud computing while IT policy, IT infrastructure, cloud knowledge, security, complexity and uncertainty had no direct and significant effect. The qualitative data largely confirmed these findings but shed further light on cloud adoption and suggested that other factors such as trust, service quality, accessibility and ease of interaction also needed to be considered.
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