Saudi Cultural Missions Theses & Dissertations
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Item Restricted Three Essays in Mental Health Economics: Education and Labor Market Outcomes(Saudi Digital Library, 2025-06) Alarabim, Hosam; Koreshkova, TatyanaThis dissertation explores how mental and physical health influence key economic outcomes over the life course, focusing on education, occupational outcomes, and workplace productivity. Using longitudinal data from the National Longitudinal Study of Adolescent to Adult Health (Add Health), the study employs advanced modeling techniques, including Generalized Structural Equation Modeling (GSEM) and mixed-effects regression, to construct latent health measures and quantify their economic consequences. The first chapter examines the impact of adolescent mental health on academic achievement, particularly high school completion and college enrollment. It addresses the limitations of using narrow diagnostic proxies for mental health by applying a factor-analytic approach to create latent constructs. The findings reveal that better mental health significantly improves educational attainment, with a stronger effect on college entry than on high school completion. The second chapter investigates how health status shapes occupational sorting across two major classifications: white-collar and full-time employment. It finds that individuals with poor mental health are disproportionately concentrated in low skill, physically demanding, blue-collar jobs, while those with better health are more likely to enter cognitively intensive, white-collar occupations. Physical health also influences job type, reinforcing disparities in labor market access and long-term mobility. The third chapter evaluates the effect of mental health on workplace productivity. By constructing a composite latent productivity score, based on job satisfaction, hours worked, and income, the study estimates the long-term effects of lagged health status. A one standard deviation increase in mental health is associated with a 0.0251 rise in latent productivity and a 0.0201 increase in wage measure of productivity, confirming the strong and persistent influence of psychological well-being. Together, these chapters show that mental health is a critical determinant of economic opportunity, shaping individual outcomes from adolescence through adulthood.5 0Item Restricted Empirical Investigation of Lean Management and Lean Six Sigma Success in Local Government Organizations(Virginia Tech, 2024) Alrezq, Mohammed; Van Aken, EileenLean Management and Lean Six Sigma (LM/LSS) are improvement methodologies that have been utilized to achieve better performance outcomes at organizational and operational levels. Although there has been evidence of breakthrough improvement across diverse organizational settings, LM/LSS remains an early-stage improvement methodology in public sector organizations, specifically within local government organizations (LGOs). Some LGOs have benefited from LM/LSS and reported significant improvements, such as reducing process time by up to 90% and increasing financial savings by up to 57%. While the success of LM/LSS can lead to satisfactory outcomes, the risk of failure can also result in a tremendous waste of financial and non-financial resources. Evidence from the literature indicates that the failure to achieve the expected outcomes is likely due to the lack of attention paid to critical success factors (CSFs) that are crucial for LM/LSS success. Furthermore, research in this research area regarding characterizing and statistically examining the CSFs associated with LM/LSS in such organizational settings has been limited. Hence, the aim of this research is to provide a comprehensive investigation of the success factors for LM/LSS in LGOs. The initial stage of this dissertation involved analyzing the scientific literature to identify and characterize the CSFs associated with LM/LSS in LGOs through a systematic literature review (SLR). This effort identified a total of 47 unique factors, which were grouped into 5 categories, including organization, process, workforce knowledge, communications, task design, and team design. The next stage of this investigation focused on identifying a more focused set of CSFs. This involved evaluating the strength of the effect (or importance) of the factors using two integrated approaches: meta-synthesis and expert assessment. This process concluded with a total of 29 factors being selected for the empirical field study. The final stage included designing and implementing an online survey questionnaire to solicit LGOs' experience on the presence of factors during the development and/or implementation of LM/LSS and their impact on social-technical system outcomes. Once the survey was concluded, an exploratory factor analysis (EFA) was conducted to identify the underlying latent variables, followed by using a partial least square-structural equation model (PLS-SEM) to determine the significance of the factors on outcomes. The EFA identified three endogenous and five exogenous latent variables. The results of the PLS-SEM model identified four significant positive relationships. Based on the results from the structural paths, the antecedent Improvement Readiness (IR) and Change Awareness (CA) were significant and had a positive influence on Transformation Success (TS). For the outcome Deployment Success (DS), Sustainable Improvement Infrastructure (SII) was the only significant exogenous variable and had the highest positive impact among all significant predictor constructs. Furthermore, Measurement-Based Improvement (MBI) was significant and positively influenced Improvement Project Success (IPS). Findings from this dissertation could serve as a foundation for researchers looking to further advance the maturity of this research area based on the evidence presented in this work. Additionally, this work could be used as guidelines for practitioners in developing implementation processes by considering the essential factors to maximize the success of LM/LSS implementation. Given the diversity of functional areas and processes within LGO contexts, it is also possible that other public sector organizations could benefit from these findings.6 0