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 study examines the variations in the practice of implementation in different implementation structures using the case of police education reforms that were undertaken by the Turkish National Police (TNP) in 2001 and 2003. Differentiations and similarities in the top-down and bottom-up structures while practicing the process of implementation were investigated in this study. First, the study provides a comprehensive understanding of the process of implementation and structure of implementation. Second, the study introduces TNP education reforms and explains the reasons for the reform. Third, a quantitative approach is used to measure the success of the TNP educational reforms. Specifically, multiple regression analysis, one-way analysis of variance (ANOVA), and post hoc tests are used to clarify if police performance in the TNP has improved since the reforms. Fourth, the study uses a qualitative approach to find out how features associated with top-down or bottom up approaches were involved in the process of implementation of the educational reforms. Finally, based upon the views of the participants in the qualitative analysis, the study examines the variations in the practice of implementation between decision makers and the street level bureaucrats.

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 …

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) …

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 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 …

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 …

Over the past decade the movement of natural gas drilling operations toward more suburban and urban communities has created unique policy challenges for municipalities. Municipal response is manifest in a variety of institutional arrangements, some more enabling than others regarding citizen access to public hearings. This observation lead to the main research question, “How are variations in citizen participation affecting policy outcomes?” The argument is made that institutions affecting citizen participation, in turn affect policy outcomes. If the general public is given access to public hearings, their preferences for longer setbacks will be taken into account and the approved gas wells will have greater distances from neighboring residences – effectively providing for greater safety. Given the paucity of research on the topic of natural gas drilling, the research first begins with the presentation of a theoretical framework to allow for analysis of the highly complex topic of gas well permitting, emphasizing the rule-ordered relationships between the various levels of decision making and provides a typology of collective action arenas currently used by Texas municipalities. The research uses paired case studies of most similar design and employs a mixed methods process for the collection, analysis and interpretation of the municipal level …

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 …

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.

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.

This dissertation examines the factors influencing a state’s decision to adopt a local government investment pool (LGIP), the institutional arrangements used in managing them, and the effect of the institutional types on LGIP performance. The dissertation extends the policy adoption theory with insights from investment theory to demonstrate that management credibility influences the likelihood of a state’s LGIP adoption. The study finds that the quality of financial management, the quality of professional leadership, proximate state neighbors who have previously adopted an LGIP, and economic factors determine a state’s proclivity to policy adoption. The dissertation also describes the institutional arrangements used in managing LGIPs and develops typologies based on their institutional arrangements. The dissertation compares LGIPs depending on the risk aversion of their institutional arrangements. The research extends the risk-return tradeoff in investment theory to LGIP institutional arrangements. The empirical findings show that LGIP institutional arrangement that has greater risk report higher performance. The dissertation also finds that competition in the LGIP market due to multiple vendors, and periods of economic recession account for higher performance because of higher risk-taking behaviors associated with them. This dissertation promotes public funds investment laws that emphasize prudent management of government finances and guides managers …

To effectively provide services to citizens, local governments have had to be creative. One approach has been the creation of volunteer programs to meet demands and expanding needs. Volunteer programs hold promise for creating meaningful engagement opportunities for citizens. However, limited organizational capacity, inadequate volunteer management practices, and difficulties in maintaining volunteer retention are concerns plaguing local government volunteer programs. Volunteer programs are often structured around a set of best practices thought to be necessary for ensuring the retention of volunteers. To apply best practices across the board would suggest that local government volunteer programs are similar in organizational structure, budget size, amount of citizen engagement, accountability concerns, and that they adopt similar bureaucratic procedures. Using human relations and bureaucratic theories as theoretical frameworks, four research questions are asked and answered: 1) What are the managerial and political challenges in volunteer management and retention for local government volunteer coordinators?, 2) What challenges are local governments' volunteer coordinators facing in using volunteer management practices?, 3) What strategies are helpful in retaining volunteers in local government volunteerism?, and 4) What challenges do local government volunteer coordinators face in engaging citizens? Data collection for this qualitative study was conducted using online surveys and …

This dissertation investigates factors that facilitate effective collaboration of networks functioning within the context of a federal homeless policy—the HEARTH Act of 2009. While the federal legislation encourages networked collaboration to address the incidence of homelessness, not all networks are effective in achieving their intended purpose. Using a nationwide sample of homeless networks, this research explores the role that nonprofit organizations play in the collaborative process and models the effect of individual leadership, nonprofit-led network, and community nonprofit capacity on two levels of network effectiveness—network and community—using multivariate regression modeling. Results indicate that nonprofits play a significant role as participants of the collaboration process and as leading agents of homeless networks. In addition, the variation in network effectiveness is explained by multidimensional factors.

This dissertation answers three research questions: "What differences and similarities exist among neighborhood associations in the United States, Japan, and Seoul, South Korea?," "What are the civic roles of neighborhood associations in apartment complexes in Seoul, South Korea?," and "What factors promote neighborhood associations to play civic roles in urban governance?" To answer the first question, this research analyzes the purposes, governance structures, roles, and legal substance of neighborhood associations by reviewing previous studies, public and legal documents, court cases in the U.S., and by conducting interviews. To answer the second and the third questions, a 2016 survey, "Understanding the Roles of Neighborhood Associations in Urban Governance" was conducted with 154 representatives of neighborhood associations in Seoul. Social capital theory, government failure theory, and third party government theory were used to create hypotheses that test proposed relationships about neighborhood interactions, community characteristics, and the civic roles played by neighborhood associations. The findings show that neighborhood associations have adopted several roles including service provider, partner in public service delivery for local government, and advocate for residents in urban governance. The findings also show that social capital created by neighborhood interactions and community characteristics facilitates neighborhood associations to play civic roles in …

Challenging a long-held attachment to the medical model, this research develops a cultural model placing local governments at the center of policy making and refocusing policy attention on mobility, housing, the built environment and services. To examine the phenomenon of age friendly policy adoption by cities and the magnitude of adoption, a 21-question web-based survey was administered to a sample of 1,050 cities from the U.S. Census having a population over 10,000 and having at least 14% of their population aged 65 years and over. The goal of the questionnaire was to help identify what kind of policy objectives cities establish to facilitate the opportunity for older adults to live healthy and independent lives in their communities as they age. Multiple linear and ordinal regression models examined the likelihood of policy action by cities and provide evidence as to why some cities support more age friendly policy actions than others. Evidence illustrates theoretical advancement providing support for a cultural model of aging. The cultural model includes multiple factors including bureaucratic responsiveness reflected in the management values of the administration. Findings show variation in the integration of a cultural awareness of aging in the municipality's needs assessment, strategic goals, citizen engagement …

This dissertation examines the extent to which social vulnerability, as studied by researchers across multiple disciplines, has influenced the practice of emergency management at the local level. This study addresses two major research questions to accomplish this goal. First, how do local emergency managers perceive and define social vulnerability? Second, what strategies do local emergency managers employ to reach and meet the needs of socially vulnerable populations? Semi-structured interviews were conducted in person or by phone with a sample of local emergency managers, city managers, and American Red Cross personnel from the Houston - Galveston and the South East Texas regions as defined by the respective Councils of Government. A modified grounded theory approach was used with a constant comparative method to identify themes for each research question. Triangulation was accomplished through secondary census data and supplemental interviews. The interview data reveal that social vulnerability research has had an indirect influence on the practice of emergency management at the local level. This influence is facilitated through state and federal policy, training, and plans development. Based on the interview data, four themes were identified that capture the various ways in which local emergency management officials perceive and define social vulnerability. These …

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 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.

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 …

As a form of tax and expenditure limitations, property tax exemptions result in an utility gap between two groups of population residing in the same community: free-riders who are paying less than they receive and contributors who are paying more than they receive. This utility gap is problematic to municipalities because contributors may exit the city as this gap becomes wider. How do municipalities respond to the increasing amount of property tax exemptions? Using 41 Texas cities data from 2000 to 2016, this dissertation examines how property tax exemptions affect municipalities' fiscal behavior. The analysis indicates that property tax exemptions lead to higher property tax burden, change municipalities' revenue structure, and lead to less capital spending.

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 …

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 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 …