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 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 …

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 …

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.

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 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 …

This study explores the demand and supply oriented factors that may contribute to the size of nonprofit organizations in the U.S. communities. This research tests demand theory, which indicated that nonprofit organizations grow more in communities where large service demand exists and when there is a service gap between community demand and government service supply. On the other hand, supply theories contend that nonprofit organizations are prevalent where a community carries the supply of human capital and financial resources and these supply of human and economic capital will mobilize nonprofit organizations to fulfill civic duties. For the scientific test of demand and supply theories, this study employs hierarchical linear model (HLM) and develops a longitudinal data set from multiple sources such as Department of Housing and Urban Development and National Charitable Center for Statistics, and Census. The proposed model analyzes how demand and supply indicators explain homeless serving nonprofit organizations size. The size of homeless service nonprofit was measured by three indicators: number of nonprofits, revenue of nonprofits and number of shelter beds. The findings of HLM analyses confirmed some of demand and supply factors that contribute homeless service nonprofit size. The communities with higher level of chronic homeless population …

This dissertation examines the factors and combinations of factors that affect the performance of continuum of care homeless service networks, applying the configurational approach of contingency theory to data sets drawn from federal sources. The study accepts the two key assumptions from the theory: (1) that there are multiple paths to high performance and (2) key conditions have a joint influence on network performance. The data analysis in this study has two parts. The first employs OLS regression to examine the causal relationship between independent variables and the performance of permanent supportive housing (PSH) programs. This study also applies fuzzy set qualitative comparative analysis (fsQCA) to identify multiple combinations of factors that influence the performance of PSH programs. The results identify key factors and multiple combinations of factors that lead to high and low network performance. Federal CoC funding emerges as a core condition for high and low performance, but all relevant conditions can be critical factors depending on how they interact with other relevant conditions. This analysis helps expand the utility of existing contingency theory by using it to explain the dynamic interactions between factors in the context of public service networks. Ultimately, this dissertation confirms that fsQCA can …

This study develops a theoretical framework to examine the major dimensions of transformational leadership style (TLS), public service motivation (PSM), organizational citizenship behavior (OCB), and public organization performance (POP). It is hypothesized that when employees perceived a public organization is practicing a transformational leadership style, they are likely to have a favorable view on the performance of their organization, but the effect is indirect and mediated by OCB. At the same time, if employees have a strong desire to serve and improve the welfare of others, they are likely to perform beyond their job requirements and thus, likely to express a positive view on the organizational performance. A structural equation modeling was used to examine 1,016 public employees (67.7% response rate) in the Guadalajara metropolitan area, Mexico i.e., concerning their perceptions about leadership style, motivation to serve in the public sector, citizenship behaviors, and public organizational performance. The results suggest that if Mexican public employees perceived their leaders to adopt a transformational leadership style, they were likely to have a favorable view on the performance of their organization (direct effect); and that, the effect is mediated by their tendency to engage in activities that would contribute to the functioning of …

Within risk communication, much is understood about pre-event warning related to evacuation and sheltering; however risk communication during the return-entry phase when ending evacuations has been largely under-studied in the disaster literature. Understanding of the return-entry risk communication process is important because returning early or prior to issuance of the all-clear message can make returnees susceptible to post-disaster risks, and also hamper post-disaster activities such as debris removal, traffic management, utility restoration and damage assessments. Guided by the Warning Components Framework and the Theory of Motivated Information Management, this dissertation focuses on risk communication as it pertains to organizational behavior during the return-entry process by examining how local emergency management organizations develop, disseminate and monitor return-entry messages. The data is collected through semi-structured telephone interviews with local emergency management organizations that managed return-entry following Hurricane Sandy. The findings of the study indicate that local emergency management organizations required information on post-disaster threats, damages, and utility and infrastructure condition in order to develop return-entry strategy for their community. Organizations improvised to their existing risk communication measures by adopting creative ways for information dissemination to the evacuees. They also utilized active and passive approach to monitor public response to the return-entry messages.

The objective of this dissertation is to test the Institutional Collective Action framework and examine the governance arrangements during health emergency. Basically, the dissertation argues that due to collaborative risks, transaction costs, barriers to collective action, governance arrangement provides avenues for action and a force for driving coordination across jurisdictional boundaries. The dissertation adopts two studies to investigate the governance arrangements represented by lead agency, emergency plans, Emergency Operation Center and city council mandates and coordination when it comes to health emergencies such as Ebola. The qualitative approach investigates the causal relationship between governance arrangements and coordination. The second study investigates to what extent do formal mechanisms and informal mechanisms affects the outcome of collaboration during a health emergency. This study uses a quantitative research approach to examine the patterns of collaborative arrangement used during health emergency. The findings of the study demonstrate the pattern used in health emergencies is dependent on the application of formal mechanisms represented by higher authority, emergency plans. Both studies indicate that due to collaboration risks, self-governance arrangements or higher authority mandates provides a venue for collective action. The survey data was collected from local, state and federal governments during the summer 2015 on the …

Citizen complaints about inappropriate use of force indicate negative police-public relations, unresponsive police services, and the unresponsiveness of police management to citizens' concerns. However, the effective delivery of key policing services depends on the performance of individual police officers. Surveillance technology can monitor and control the behavior of officers, ensuring that police officers provide high quality policing services that meet the needs of citizens. Examples of surveillance technology such as in-car cameras and CCTV can be used as an administrative tool to respond to citizen complaints by police chief executives. This research examines the effect of surveillance technology on the behavior of municipal police departments that is operationalized as the number of citizen complaints that were filed against municipal police departments. This research also examines the impact of surveillance technology on dismissed and sustained complaints by using 511 large municipal police departments in the U.S. from Law Enforcement Management and Administrative Statistics (LEMAS) 2003 dataset. Three different models are developed to evaluate the impact of in-car cameras and CCTV on the citizen complaints and their dispositions. Two ordinary least square regression (OLS) models and a Heckman selection model are used to analyze the data. The Heckman selection model is utilized …

Successful service coordination for the homeless depends on the ability of diverse organizations to effectively collaborate. This study utilizes a life-cycle framework to expand on the collaborative governance theory by highlighting the different stages of collaboration that homeless service networks encounter. Activation, collectivity, and institutionalization are three stages used to uncover the unique nature of emergency discharge planning processes. Since collaboration is not a static process and government regulation for emergency discharge plans were recently enacted in 2012, collaborative networks encounter challenges and success factors at different stages. A qualitative case-study approach of organizational leaders in homeless service networks in Texas (Dallas, Ft. Worth and Houston) examines stages of collaboration. Results show common success and challenge factors identified among the three networks, but the factors take on different forms in relation to where the networks are at in the coordination stages. Practitioners can use the findings from this study as a guide to set up benchmarks and measurable objectives to identify strengths and weaknesses in their coordination processes.