Although governments try to create strict policies and regulations to prevent abuses, use of excessive force is still a problem for almost every country including Turkey. This study is intended to help Turkish National Police administrators to understand and prevent police use of excessive force. Studies on police brutality categorize three factors that explain why police officers use excessive force; these are individual, situational and organizational. In addition to brutality theories, job satisfaction literature is examined in this study to understand the use of excessive force. Job satisfaction is found to be related with burnout, turnover, stress, commitment, and performance. The impact of officers' attitude toward the criminal justice system and/or laws has not been tested widely. Police officers attitudes toward human rights laws are examined in this study to measure its impact on attitude toward use of excessive force. A secondary data collected in Turkey are analyzed by structural equation modeling which provides confirmatory factor analysis, path analysis, and causal relationships between variables. It is found that police officers' attitude toward human rights laws is a significant predictor of their attitudes toward use of excessive force. Job satisfaction and education level are the other significant variables affecting attitude toward …

This research investigates existing and new HR practices that have impacted public health employee retention in Saudi Arabia during the COVID-19 pandemic. It builds on social support theory and social exchange theory to better understand the relationships between HR practices and retention, and uses quantitative methods to examine the hypotheses based on a conceptual framework. While OLS regression is employed to analyze the relationships between HR practices and retention, path analysis (bootstrapping) is used to examine the mediator variable. Based on 417 valid questionnaires distributed to public health employees in Saudi Arabia's central, western, and eastern regions, the analysis illustrates that while training and emphasis on work-life-balance as existing HR practices had a positive effect on retention, social support (supervisory support) and promotion of mental well-being as new HR practices also had a positive effect on retention during the COVID-19 pandemic. However, the hypothesis that compensation and occupational health and safety would improve retention was not supported. These results indicate that financial benefits and providing safety materials did not lead to employee retention. Meanwhile, safety training programs, psychosocial support, and promotion of well-being have been essential HR practices during the pandemic. Regarding the mediation hypotheses, interestingly, the results show that …

The study is undertaken for a more compressive understanding for organizational theory and its applicability to tendency towards improvisation during emergency times among individuals in Non Profit Organizations (NPOs) in Saudi Arabia. The analysis involved an examination of direct effect of learning on tendency towards improvisation and possible mediating effects between organizational learning and tendency towards improvisation among individuals in NPOs, while controlling for key demographic differences (e.g. individuals’ age, education level and years in service, number of full-time staff and volunteers). Self-administered questionnaires were distributed to full-time employees in 13 NPOs in three cities in the western area of Saudi Arabia, namely Jeddah, Makkah and Madinah (N= 304). The main statistical method employed to hypotheses examination was Structural Equation Modeling. The hypothesis examination resulted in three out of five hypnotized paths are to be significant. Two direct relations were interpreted as outcomes of organizational learning, with increases in the level of organizational learning is being positively related to individuals’ self –efficacy and agility. The third significant path interpreted as individuals’ agility is positively related to their tendency to improvise during emergency times, which indicates organizational learning has indirect effect on tendency towards improvisation. Finally, the applicability of organizational learning …

This dissertation aims to examine the relationship between interorganizational collaboration and the implementation of urban greening policy. Specifically, it discusses bonding and bridging relationships that explain a successful interorganizational collaboration, and to what extent these factors explain the perception of success in the implementation of public programs. The effects of risks of collaboration on the implementation of urban greening policy are also studied. To frame the analysis, this dissertation uses Feiock's institutional collective action (ICA) framework, which aims to understand successful interorganizational collaboration and policy implementation across sectors. The collection of data was carried out in Riyadh City in Saudi Arabia, which is located in the center of Saudi Arabia. In this study, the unit of analysis is the networks of relationships among organizations that work with the Royal Commission for Riyadh City (RCRC). The data were obtained from 44 organizations collaborating to implement urban greening projects in Riyadh City and were collected over 17 days from June 15, 2019 to July 2, 2019. The sampling technique used in this study was snowball sampling. The main statistical methods employed for hypothesis examination were social network analysis (SNA) and ordinary least squares (OLS). The key empirical results indicated that there were …

The current study projects the third-person perception phenomenon into the area of emergency management, specifically regarding risk communication in the context of religious gatherings. This study utilized the Umrah religious gathering in Makkah, Saudi Arabia, during summer 2019 as a case study (N = 257). This study aimed to investigate whether pilgrims perceive there was a greater effect of health information on others than on themselves. Survey results were translated and then coded and analyzed statistically using SPSS software. The findings indicated that third-person perception existed among pilgrims. Specifically, the perception of pilgrims that the influence of news about MERS-CoV, believed to be undesirable in its effect on themselves, was greater on others than on themselves was found statistically significant. Further, the findings indicated that the more pilgrims watched, listened to, or read news about MERS-CoV, the larger the effect of the news they perceived on themselves and others was. Thus, exposure to MERS-CoV news did not increase, but rather decreased the perception of difference between self and others. Also, the empirical findings indicated that pilgrims who were knowledgeable about MERS-CoV could relate to the coverage. Moreover, if pilgrims believed they were affected by MERS-CoV news, they believed that the …

This research builds on social exchange theory and self-determination theory to better understand the relationships between employee engagement, demographic and personal attributes, and public service motivation (PSM). It hypothesizes that employee engagement and demographic and personal characteristics (education, income, gender, and parents working in civil service) will directly affect PSM. I also hypothesize that education, income, and gender will have an indirect effect and moderate the relationship between employee engagement and PSM. This dissertation uses a quantitative approach to investigate the hypotheses introduced with the conceptual model. This research uses structural equation modeling as a data analysis technique. Based on 704 valid questionnaires distributed to Saudi public employees in Riyadh, Jeddah, Dammam, and Assir, the analysis shows that a higher level of employee engagement will lead to a higher level of public service motivation. It also reveals that a higher level of education will lead to a higher level of PSM.; the hypothesis that income positively affects PSM is not supported. Thus, this study finds that there is no significant relationship between income and PSM. Being female is found to be negatively associated with PSM. Therefore, the hypothesis that females are lower PSM than males is supported. Parents of public …

This research studied the relationship between social capital and household resilience. In particular, how bonding and bridging relationships affect household resilience was the question selected to illustrate this relationship between social capital and household resilience. Moreover, how the vulnerability of household impacts household resilience was also empirically examined. Social capital theory and vulnerability paradigm studies were used to discover explanations for why and how social connectedness and social vulnerabilities impact household resilience. Survey questionnaires were used to collect data in the main two cities in Saudi Arabia, Riyadh and Jeddah. A cross-sectional design was used to collect data. Statistical descriptions and inferences were conducted. In fact, multiple linear regression, T-test, and one way ANOVA were the three principal technics used to make statistical inferences. This study empirically found evidence there are relationships between bonding relationships and household resilience, and also relationships between the economic level of the household and household resilience. However, no evidence was found for relationships between bridging relationships and household resilience, or between other vulnerability factors and household resilience. Other vulnerability factors included gender, minority group, and language.

The increasing demands of efficiency and effectiveness in the public sector encourage political leaders and policy makers to adopt and apply advanced techniques and solutions to overcome flaws in public organizational performance. Entrepreneurship was introduced in several Western countries as a way to improve their processes and management through adopting private sector management principles and market-oriented techniques. In 2015, Saudi Arabia announced its 2030 vision, which introduced hundreds of innovative and creative initiatives aiming to overcome issues of the turbulent environment, future oil depletion, budgetary pressures, and public demands for efficiency and effectiveness. Building on interdisciplinary perspectives, this study investigates entrepreneurial orientation among Saudi public employees from all administrative regions across the country. Building on McClelland's theory of motivation, this study hypothesizes that the motives of need for achievement, need for affiliation, and need for power are positively associated with entrepreneurial behavior. It also hypothesizes that excessive organizational hierarchy, formalization, and lack of autonomy constrain employees' entrepreneurial activities. Moreover, this study adopts a sociological perspective in proposing solutions for facilitating entrepreneurial orientation among public employees by hypothesizing that human and social capital promote an entrepreneurial orientation. Multiple regression analysis reveals that Saudi public employees with a higher level of need …

This dissertation examines the impact of citizen's perception of community policing on public attitudes toward fear of terrorism, resilience for a future terrorist attack, and satisfaction with the police in the face of new terrorism. In particular, considering the changing nature of terrorism in recent years as a response to the centralized homeland security efforts, this dissertation attempts to develop our understanding about the extent to which community policing could be a strategy in dealing with terrorism fear among citizens, in building up resilience for future terrorist attacks, and to increase citizens' satisfaction with the police in order to enhance the quality of life in the face of new terrorism. Additionally, this dissertation examines the impact of the variation in the level of community policing implementation on public attitudes toward fear of terrorism, resilience for a future terrorist attack, and satisfaction with the police. Data was collected through an online survey conducted in the cities of Arlington and Frisco, Texas. The survey distributed to the citizens through the Amazon Mechanical Turk (MTurk) platform. These cities were selected based on a community policing scale which was created through the help of the Law Enforcement Management and Administrative Statistics (LEMAS) survey. Results …

This dissertation attempts to answer how social and economic mechanisms operate in individual, community and state levels to impact volunteering. Both social processes and economic factors significantly impact the amount of volunteering. However, researchers have a tendency to explain volunteering only by one of these factors. As both theories are equally important in explaining volunteerism, the development of a coherent theory is necessary to combine economic and social theories. This dissertation suggested that, when evaluated together, the influences of the economic factors on volunteering diminish as individuals get more connected with the other members of the society. The three-level analysis of the volunteering largely supports the primary hypothesis of the dissertation that economic concerns for volunteering are crowded out when individuals or the society is highly connected. This finding can help practitioners design better strategies to enhance volunteering such as creating opportunities for the members of the society to interact with each other.

Saudi Arabia introduced the VAT in 2018 in response to the nation's structural budget deficit caused, in large measure, by its dependence on revenue from oil and natural gas production. Initially the tax rate was 5 percent, but in July 2020 the rate was tripled to 15 percent. This dissertation examine the effect of the introduction of a value-added tax (VAT) on governance in Saudi Arabia. Specifically, we explore how the VAT's introduction has altered the Saudi bureaucracy, both its responsiveness and representativeness, and what is VAT effect on growth in GDP, public unemployment, and changes in national budget. The data used to analyze these research questions are collected from several sources including the Saudi General Authority for Statistics, Saudi Ministry of Finance, and World Bank. Different methods of analysis were used such as ordinary least squares, difference in differences, and least squares dummy variables to answer the research questions. The study found that VAT is associated with an increase in GDP per capita, and VAT was negatively associated with total debt per capita, deficit per capita, and non-Saudi unemployment. In addition, government spending did change after the introduction of VAT to internal development more than external focus. Finally, VAT …

The flypaper effect states that grants-in-aid increases public spending more than a comparable increase in personal income. If aid increases spending, then there is the possibility that it displaces own-source revenue or a portion of the aid itself is used to meet other priorities of governments, fungibility. Different local government structures have the tendency to prioritize either the operating or capital budget. Empirical evidence shows that federal and state grants have different flypaper effect. While fungible state aid is allocated to the operating budget, that of federal goes to the capital budget. Council-manager and mayor-council form of governments do not allocate fungible intergovernmental aid differently between the capital and operating budgets.

The Department of Housing and Urban Development is the primary public agency responsible for providing housing subsidies to low-income households. The Home Choice Voucher Program (HCVP) is currently the most significant housing subsidy. The voucher can be transferred to any location where the landlord is registered with the local housing agency to participate in the program. The mobility of the voucher is designed to decrease concentrations of low-income households in areas that lack economic, educational, and social opportunities. The results of the study found that race and income have a strong negative impact on the percentage of subsidized households and rental units. The findings also show that median area rents have a negative impact on subsidized households, while home values have a negative impact on subsidized rental units. There are more subsidized households and rental units in highly populated with many households living in areas with more transit stops. finally, the data showed that jobs paying under $3,333 per month had a negative impact on the percentage of subsidized housing units. These outcomes can provide insight for HUD and public housing agencies to assist in the utilization of subsidies and encourage more landlord participation to add units to the current …

This dissertation examines the relationship between economic resilience, disaster experience, and smart growth policies at the local government level. The study is based upon three research questions that examine spatial distribution of economic resilience in Florida cities, and examines the impact of disaster experience, and smart growth policies adopted by local governments on economic resilience. Based upon the bounce-forward approach (Cowell, 2013; Klein et al. 2003), economic resilience is defined using three dimensions—economic stability, economic equity, and economic diversity. The spatial analysis is conducted by mapping economic resilience scores across 780 Census Designated Places in Florida through standard deviation method of classification, and conducting cluster-outlier analysis. Results suggest difference in economic resilience within coastal and inland communities—with higher scores mostly situated inland. East Central Florida, Tampa Bay, and South Florida were identified as high economic resilience clusters, and Northwest Florida was identified as low resilience cluster. Impact of disaster experience, and smart growth policies on economic resilience was examined based upon logic of focusing events by Birkland (1997, 2010). Data was collected from the U.S. Census, the National Climatic Data Center, and the Energy Sustainable Florida Communities Survey conducted by Florida State University in 2009. Results suggest significant association between …

One key to reducing terrorism may be to understand why individuals join terror groups, and to find ways to meet their needs through alternatives to discourage membership in terrorist organizations. The study introduces the hierarchy of needs framework to capture all previous pieces of explanations on why individuals join terror groups under one big umbrella, in order to see the big picture. It does not do a meta-analysis, but rather tests the framework. This study is designed to find out what perceived needs commonly motivate individuals to join terror groups in general and specific terror groups in particular. The research uses Turkey's terrorism experience as a case study which is supported with data from real terrorist in Turkey. Findings of the descriptive analyses show that majority joined a terror group due to social and affiliative needs. The remaining analyses (bivariate, cross-tabulation and binary logistic regression) show that confitents who perceived esteem and recognition were more likely to become members of other/leftist terror groups, and that rightist terror group members in Turkey tend to have higher education. Education mainly affects a confitent's perception of two needs: social and affiliation and self-actualization. Other demographic variables (age group, region of birth, marital status) …

Why do megachurches participate in economic development, and who benefits from their participation? Frumkin's framework for understanding nonprofit and voluntary action and extra-role behavior are theories tested to answer these questions. My research employs a mixed-methods research design conducted in two phases. In phase one, I analyze 42 responses to an online survey to provide data about the prevalence and nature of economic development activities offered by megachurches in the Dallas-Fort Worth and Houston-Sugar Land-Baytown Metropolitan Statistical Areas. Phase two involved 23 semi-structured telephone interviews with megachurch leadership to provide data that explains the rationale for why megachurches offer economic development activities and who benefits. Evidence from this research demonstrates that megachurches are participating in economic development for reasons consistent with both demand-side and supply-side arguments. Findings also show that megachurches take on extra-role behaviors for in response to community expectations and the values of members and staff. Implications for understanding partnership decisions and collaborations between faith-based organizations and local governments are discussed.

Citizen involvement in the production and delivery of public service has been a long time topic of interest and controversial debate among scholars. Essentially, the belief has been that if citizens are actively involved in the process, public organizations and communities benefit in numerous ways that will ultimately lead to increased citizen satisfaction. The purpose of this research is to explore the relationship between citizen involvement in the production of public safety and security and its effects on organizational efficiency and effectiveness of law enforcement agencies. To test the assumption that citizen involvement is positively correlated to organizational success and organizational efficiency of law enforcement agencies, a citizen involvement index was developed and used as the independent variable in ordinary least square regression (OLS) analysis. Three separate models are developed to measure the impact of citizen involvement on law enforcement. Findings obtained through bivariate and multivariate analyses indicate mixed results. Bivariate analysis revealed that citizen involvement was negatively correlated to organizational efficiency while no statistically significant correlation was found in multiple regressions. In addition, through bivariate analyses, citizen involvement was positively correlated with crime rates reported to city police departments, whereas multivariate regression analyses indicated that citizen involvement does not …

This dissertation examines the association between independent governance structure and various measures of good governance. The evaluation draws on observations of a dataset of 101 Texas public charities, in particular the organization's self-disclosed governance-related activities as reflected in the transparency, monitoring, and strategic tools available to the public. The study reveals that two measures of good governance are associated with an identified independent governance structure at the organizational level. In managing the governance of the organization, the study finds evidence that less emphasis is placed on the constituted strategic direction clauses listed in the articles of incorporation of the organization. The research suggests that each of the fiduciary stewardship concerns need to be addressed by the legal governing body in order to fulfill good governance as an outcome quality measure.

This dissertation examines the impact of city-level characteristics (immigration-friendliness index, unemployment rate, and the percentage of Democrat Party votes) on the psychological resiliency of Latino immigrants. In the light of increased attention on the immigrant issue throughout the world, this study aims to develop our understanding of the factors that have the effect on the resiliency of immigrant populations. This dissertation examines these different characteristics by examining five different cities in Texas: Austin, Dallas, Fort-Worth, Houston, and San Antonio. The survey was distributed through the Amazon Mechanical Turk (MTurk) to those individuals who define themselves Hispanic or Latino. Results suggest that the city characteristics have a significant impact on the resiliency of Latino immigrants suggesting that local governments have a potential capability to increase the resiliency of the immigrant groups in the United States by embracing the notion that immigrants should be integrated into the fabric of the local community.

This dissertation is about economic resilience of local governments to natural disasters. Specifically, the dissertation investigates resilience on regional level. Moreover, the dissertation also investigates growth in the green job sector in local governments. The findings indicate that local governments working with each other helps green job creation. In addition, the dissertation finds that green jobs, following disasters, experience three percent growth. This dissertation is important because it investigates the relationship between climate- related disasters and green jobs, which is an area that is under-investigated.

This study examines factors that influence the intent to use and actual use of decision support software (DSS) technology by emergency management officials to facilitate disaster response management. The unified theory of acceptance and use of technology popularized by scholars from the field of information sciences (IS) for the private sector is adapted and extended to examine technology use in the public sector, specifically by emergency managers. An e-survey was sent to 1, 452 city and county emergency management officials from FEMA region VI and complete responses obtained from 194 were analyzed. Findings suggest that social influence is the strongest predictor of intent to use DSS technology by emergency managers, unlike private sector studies where performance expectancy was the strongest predictor. Additionally, effort expectancy, collaboration, social vulnerability, professionalism, performance expectancy, and gender explained 40 percent of their intent to use DSS technology. Factors explaining actual use of technology were intent to use technology, having an in house GIS specialist, and age of the emergency manager. This research successfully closes the gap in IS and disaster literature by being the first to focus on factors influencing technology use by emergency managers for decision making in disaster response. It underscores the importance …

This research investigates the association between neighborhood institutions and the reinvestment decision of households after a disaster. The research employs GIS techniques and data containing appraised housing values, the neighborhood coalition boundaries, the HOA boundaries, building damage data, and building permit data from August 2017 to August 2018. This dissertation performed various methods of analysis. For the first, a literature review was conducted. Possible predictors of institutional, physical/geographical, demographic, and economic factors were discussed. A broad literature review of housing recovery, local government, and emergency recovery studies were investigated. Second, hierarchical linear modeling (HLM) was performed to determine the interaction effect of neighborhood institution type on the relationship between appraised housing value, disaster damage, and building permit. Given the data's nested structure, the submissions of building permit by households were affected by neighborhood characteristics (i.e., the type of neighborhood institution and degree of statutory control) at the jurisdictional level. For this study, Level 1 represented the household level, and Level 2 represented the jurisdictional level. Third, a chi-square analysis was performed to examine households' perceptions of neighborhood institutions and local government incentive programs. The findings suggest that neighborhood institutions play an important role in local disaster resiliency. It is also …

The dissertation investigates the form of network governance in the context of U.S. homeless service networks (namely continuum of care programs; CoCs). This research examines CoC homeless service networks by applying the institutional collective action (ICA) perspectives to understand the forms of network governance as a reflection of network context. The ICA perspective has been applied to understand the rational behavior of network members for the network governance form to mitigate the collective action problems. The ICA perspective helps understand why network members accept specific governance structures with their expectation to maximize the benefits and minimize the costs and uncertainty in their process of collaboration. This dissertation uses the data of CoC networks and point in time data from the U.S. Department of Housing and Urban Development in 2019 and Census. The data developed for this study offers the homeless incidences, geographical characteristics, and governance structure based on the contact information. For an in-depth understanding, interview by CoC leaders was integrated. This dissertation consists of four essays about 1) Literature review on network governance and the theoretical argument in the ICA framework, 2) Background and network governance of the U.S. homeless service networks, 3) Factors affecting the choice of network …

Local government in the United States have been collaborating across institutional boundaries, collaborating with other local government to share their resources in the delivery of goods and services in their communities. Although local governments have collaborated for a long time, mixed analysis resulted on which form of government is most effective in the delivery of goods and services based on structure and stability of their financial conditions. This dissertation introduces technology as a key component in the collaborative process in implementing smart initiatives among communities. This dissertation uses surveys conducted from ICMA and Smart City Council, 2016, and a case study comparing two smart cities to test the hypotheses; which structure of government is more effective and whether an increase in financial condition encourages more collaborative efforts. The data reveals that the council-manager form of government is more efficient, however, in contrast, to the case study which indicated that both forms of government were efficient in implementing smart initiatives, however, differences in collaborative efforts were seen based on structure. The results of this analysis provide significant new information for both scholars and practitioners.