RSS 1.0PhD in Business Administration
Recent Submissions
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Optimization for Renewable Energy Resource Allocation Using Linear Programming (A case Study)This case study aims to examines using a linear programming technique on how to distribute a scarce €500,000 on four projects in renewable energy. The goal here is the overall energy production with some constraints that include but are not limited to financial capacity, minimum threshold in single project investment, and environmental impact. This analysis presents the resource allocation and energy output derived from the solution of this linear programming problem by Excel Solver, the effects of constraints involved, the ensuing financial scores and the sustainability analysis, to reach the outcome of identifying efficient resource distribution that would allow maximum energy production, given the budget constraint. The output efficient decision of this case study was of course aimed to correspond to the capabilities of the sources in regard to the used Euro in order to produce as much energy as possible but also in terms of ecology the proper use of Solar and Wind energy was the best option, Theoretical optimal investments in hydropower were excluded mainly because of their high costs and low densities of energy. This approach can therefore be used as a reference by other company and industries especially those with many objectives when undertaking renewable energy investments or any other Multi-objective decision problems.
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Investigating Organizational Culture and Employee Engagement in a Saudi Arabian Medical Center:This research examines the significance of organizational culture (OC) among the staff of medical centers which are at the forefront of healthcare deliveries. It illustrates the extent to which there is a prevalence of understandable culture among the staff and demonstrates the strength of whether the subculture mirrors the dominant culture among medical and non-medical staff. To perform this analysis the sample categorized into two groups to know the strengths of association and difference between the responses of each group. It found that there is a hierarchical culture that mirrors the dominant culture the of center whereas there is no subculture which makes the employees less innovative due to their work nature. The study suggests that medical centers need to approach employee engagement in making decisions about the cultures or subcultures in an organization which will affect the employee’s productivity positively.
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Strategic Adaptations and Long-Term Organizational Change in Technology Companies Post-Pandemic: An Analysis of Remote Work Implementation and its ImplicationsThis research is investigating the impact of the remote work revolution intensified by the COVID-19 pandemic in the technology companies. The research is comprehensively evaluating that how remote work affects organizational operations, employee adaptability, productivity, and cost savings. It is aiming is for understanding the long-term sustainability of remote work practices and their effect on organizational flexibility and employee satisfaction. The research is employing a qualitative approach, integrating interviews, surveys, and empirical data analysis. It is focusing on the demographic and technological factors that influence work adaptability and the overall experience of remote work . The key findings of this research indicate that while remote work has increased productivity and reduced costs for many organizations but some challenges such as maintaining employee engagement and managing remote communication persist. Despite these challenges, the research is suggesting that remote work can be a sustainable practice if organizations tailor their strategies to address individual and organizational needs effectively . The study contributes to the academic and professional discourse on remote work especially in technology companies, and it is providing actionable insights for organizations to enhance their remote work policies and practices, ultimately it is aiming to optimize both employee well-being and organizational performance in a post-pandemic world
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Sectoral Composition of Outward FDI and its Impact on Export Diversification In Saudi ArabiaThis research explores the relationship between outward foreign direct investment (FDI) and export diversification in emerging economies, with a focus on the case study of Saudi Arabia. Utilizing a multi-equation model and vector autoregression analysis, the study investigates various factors such as the level and sectoral composition of outward FDI, income levels, institutional factors, and regional trade agreements. The findings suggest that while outward FDI can influence export diversification, its impact varies based on factors such as the sectoral distribution of investments, income levels, and institutional quality. Additionally, cointegration and vector error correction models reveal long-term relationships among key variables, highlighting the complex interplay between economic development, governance, and investment patterns. Impulse response analysis sheds light on the dynamic nature of shocks and their effects on the economy over time, emphasizing the interconnectedness of variables. Variance decomposition analysis further elucidates the significance of shocks in explaining fluctuations in model variables, underscoring the systemic interdependencies at play. Overall, the study provides valuable insights into the mechanisms through which outward FDI influences export diversification and economic development in emerging economies like Saudi Arabia and institutional reforms are essential; strengthening institutions and improving regulatory frameworks can amplify the positive effects of outward FDI on export diversification.
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Psychometric properties of the arabic translation of the Physical Appearance Comparison Scale-Revised (PACS-R) in adultsPhysical comparison may be a factor in body dissatisfaction and related issues, like eating disorders and depression. The Physical Appearance Comparison Scale-Revised (PACS-R) is a scale developed to assess the frequency of physical comparison. Because there is no validated scale for body comparison in Arabic, this study aims to address this gap by validating the PACS-R in the Arabic language. Methods The PACS-R was translated to Arabic following a conventional forward-backward translation procedure, and was administered to a sample of 359 Lebanese adults along with The Depression Anxiety Stress Scale, and the Rosenberg self-esteem scale (RSES) for convergent validity. The factor structure was studied by confirmatory factor analysis (CFA), and composite reliability was assessed using McDonald’s omega and Cronbach’s alpha. Results Results suggested a one-factor structure of the Arabic PACS-R, with good internal consistency (McDonald’s ω = 0.97 / Cronbach α = 0.97). Measurement invariance was established across sex groups, with no significant difference being reported between males and females in terms of PACS-R scores (15.42 ± 10.64 vs. 13.16 ± 11.88; t(357) = 1.84; p = .066). Finally, adequate convergent validity was tested and found to be adequate, with PACS-R scores found to be correlated negatively with self-esteem and positively with psychological distress. Conclusion The present findings preliminarily establish the Arabic PACS-R as an effective instrument for researchers and practitioners aiming to explore the physical comparison among Arabic-speaking populations, thus contributing to research and clinical work in the Arabic community.
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Cultivating and Sharing Tacit Knowledge in the Medical FieldThis study explores tacit knowledge transfer in healthcare, aiming to identify barriers and opportunities in sharing this nuanced expertise among practitioners and its impact on patient care standards. Employing a mixed-methods approach, it gathers data from healthcare professionals, analyzing it via reliability, statistical tests, and multinomial logistic regression. Results show moderate scale reliability, significant relationships between responses, and various factors influencing patient care quality, such as patient confidentiality, effectiveness of mentoring programs, and engagement in online forums. Challenges in tacit knowledge transfer were found insignificant, yet specific factors like mentoring and online participation are crucial for care quality. The study concludes that mentorship and organizational strategies play vital roles in enhancing care delivery by facilitating tacit knowledge sharing, underlining the importance of addressing confidentiality issues, and promoting innovation through active online engagement and effective knowledge use.
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Impact of Cash Conversion Cycle on Firm's Profitability by Applying to Companies Listed on the Saudi stock marketThis study examines the complex relationships between Cash Conversion Cycle and firm profitability using a dataset of seven companies. The primary goal is to assess the subtle impact of the Cash Conversion Cycle (CCC) on two key dependent variables: Return on Assets (ROA) and Earnings Per Share (EPS). The focus of this investigation is on four independent variables: leverage ratio, quick ratio, current ratio, and debt to service ratio. In a departure from conventional wisdom, our findings call into question established financial theories by demonstrating the CCC's insignificant impact on ROA. However, the CCC's critical role in influencing EPS highlights the CCC's diverse implications for financial performance. The alignment of the Leverage Ratio with financial theories has a significant impact on ROA. This research provides nuanced insights into the complex dynamics of financial ratios and their collective impact on firm profitability. The findings provide strategic guidance for financial decision-makers, emphasizing the importance of a customized and sophisticated approach to working capital management in navigating the complexities of today's dynamic business environment, and the study recommended to create CCC strategies that are unique to each company's industry dynamics, Take into account industry benchmarks when optimizing the CCC for improved financial performance.
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Econometric Insights into Sectoral Dynamics and Economic Factors in Saudi Arabia: Assessing Impacts and Resource UtilizationExamining the interdependencies between different critical variables, this research probes the complex dynamics of the Saudi Arabian economy. The research provides ideas on the impact of various economic factors on Saudi Arabia's economy based on an exhaustive literature analysis. These factors include manufacturing value added, unemployment rates, agricultural water withdrawals, and economic diversification. Using data collected between 2003 and 2022, the multiple regression model incorporates the following factors: spending on education, value added manufacturing, freshwater withdrawals, employment in the service sector, GDP growth, labor force participation, oil rents, value added services, and unemployment rates. Outside shocks are captured via dummy variables for the 2008 recession and the 2020 COVID-19 pandemic. Findings highlight the importance of manufacturing as a driver of economic development, since value added in manufacturing has a significant effect on GDP growth. The research shows that unemployment rates are susceptible to outside shocks, such the COVID-19 epidemic, which had a significant impact. In addition, it stresses the significance of sustainable practices by demonstrating the complex connection between freshwater withdrawals for agriculture and overall freshwater management. The study sheds light on the complex Saudi economic landscape, even though several variables were found to be statistically unimportant following further analysis. Contributing to a better knowledge of the Saudi Arabian economy, these findings have implications for evidence-based policymaking and strategic decision-making. Further investigation and study are needed to further understand the complex economic links that have been found, since this study does fill certain gaps in the literature.
