Search Results

Megachurches and Economic Development: A Theoretical Understanding of Church Involvement at the Local Level
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.
The Adoption, Management, and Performance of Local Government Investment Pools: A Comparative Analysis of State Practices
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 of the public purse on the types of institutional choices that optimize returns with minimal risk.
Exploring Volunteer Management in the Public Sector: What are the Challenges in Managing Volunteers in Local Government?
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 telephone semi-structured interviews. The findings suggest that creating meaningful work for volunteers and coordinating this work with local government managers was an important "best practices" challenge. Although local government volunteer programs also have a mission of engaging citizens, the practices actually used may directly conflict with their mission. Many volunteer management practices are supporting organizational goals rather than supporting the needs of volunteers. The study findings suggest that the best practices used by local governments are not given equal weight and "one size does not fit all." Instead, local governments must prioritize their practices carefully.
Effective Public Service Collaboration: The Role of Leadership and Nonprofit Organizations in Homeless Services
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.
Organizational Learning Capacity As a Predictor of Individuals’ Tendency Towards Improvisation in Nonprofit Organizations in Saudi Arabia
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 theory to the field of emergency management and suggestions for future research in light of the findings of this research are also discussed.
User Acceptance of Technology: an Empirical Examination of Factors Leading to Adoption of Decision Support Technologies for Emergency Management
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 of collaboration not only for post-disaster activities but also as a precursor to better disaster preparedness planning that calls for information sharing and technology acceptance and adoption across partnering jurisdictions.
Collaborative Roles of Nonprofits in Climate Change Adaptation Strategies: Institutional Collective Action Framework
The dissertation examines factors influencing nonprofit organizations' contribution to collaborative governance for climate change adaptation and nonprofit roles in the collaboration. Why an organization collaborates with others has long been a concern of scholars. However, in a majority of empirical studies, collaboration has been considered as a dichotomous concept. To fill the gap, this study considers organizations' contribution to collaboration, i.e., collaboration level in terms of power, joint activities, human resource, funding, and information sharing. To understand contribution of nonprofits to collaboration for climate change adaptation, this research employs the institutional collective action framework suggesting that organizations work together when expected benefits are greater than collaborative risks. Survey data from 101 nonprofit private organizations (beyoungri mingan danche) in South Korea, which are legally defined in the Assistance for Nonprofit, Nongovernmental Organizations Act, are analyzed. Finding is that government funding and social relationship are strongly associated with nonprofit contribution to collaboration, highlighting that the financial stability of nonprofit organizations and mutual trust among entities based on routine interaction are critical motives for nonprofit collaboration. Finding also reveals that Korean nonprofits mainly play a role as social capital creators in climate change adaptation. The finding also highlights that Sang Bu Sang Jo (相扶相助) among community members is a key concept to encourage nonprofit engagement in climate change adaptation in the Korean context.
Sources of Household Resilience during the 2018/2019 Saudi Floods
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.
Interlocal Competition and Local Fiscal Health
A sizeable literature documents patterns of competition between local governments in metropolitan regions, while also exploring variation in such local government financial attributes as efficiency, budget size, fiscal disparity, and service equity, which are frequently bound together under the concept of fiscal health. However, the concept of fiscal health is broader and more sophisticated than any one fiscal measure, and empirical studies tend to focus only on multi-purpose governments. This study brings these concepts together to investigate how interlocal competition affects the fiscal health of different government types. This study answers three questions: What is a measure of fiscal health applicable to different government types? How does competition among cities and towns affect local fiscal health? How does the proliferation of special districts affect the fiscal health of local governments? This study measures the concept of fiscal health using factor analysis and examines the effects of competition among different government types on the fiscal health of both municipalities and special districts. Utilizing a pooled cross-sectional time-series approach and data from the U.S. Census Bureau for metropolitan statistical areas for every five years between 1972 and 2012,the study finds that competition among municipalities has adverse influences on the fiscal health of both municipalities and special districts, whereas interlocal competition among special districts results in improved fiscal health for special districts without a significant effect on the fiscal health of municipalities.
Local Government Fiscal Stress and Financial Coping Strategies Following Disasters
This dissertation analyzes how local governments adapt to the fiscal stress of major disasters. Unifying theories of fiscal stress with emergency management theories, the dissertation presents a model of what influences local governments coping strategy use following disasters. Using new survey data and secondary financial data on cities, counties, and school districts that experienced Hurricane Harvey, findings show that local governments adapt in a variety of ways; of 137 local governments that responded, 66 percent used some number of coping strategies, with only 5 of 62 possible strategies not being used by any local governments. For those which did adapt, they on average used 7.06 strategies, and tended to show a preference towards revenue increasing strategies and rebuilding the community through new capital projects, with less emphasis on expenditure cuts compared to some prior literature findings on fiscal stress. The results indicate that local governments step up and provide new services necessary during the recovery process, to serve their community, despite fiscal stress. A negative binomial model shows partial support for the hypotheses that local governments with lower prior fiscal condition and greater hazard exposure will use more coping strategies. The findings show mixed results on whether institutional rules that restrict financial structures lead school districts to use more coping strategies than cities during the recovery process.
Examining the Psychological Resiliency of Latino Immigrants in Five Texas Cities: Policy, Economics, and Politics – The Case of the Latino Community
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.
Examining the Impact of Community Policing on Public Attitudes toward Fear of Terrorism, Resilience, and Satisfaction with Police in the Face of New Terrorism
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 suggest significant association between the citizen's perception of community policing and fear of terrorism, resilience, and satisfaction with the police respectively, highlighting the importance of community policing philosophy as a framework for a comprehensive proactive strategy in response to the existing and ongoing terrorism threat.
Housing and Jobs: Investigating the Geographic Variance of Housing Vouchers in Metropolitan Regions
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 housing supply. The geographical selection of subsidized households and units can help promote better housing options for voucher recipients.
Investigation of Existing and New Human Resource Practices on Public Health Employee Retention during the COVID-19 Pandemic in Saudi Arabia
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 organizational commitment has mediated relationships between safety training and mental (psychological) well-being on one hand and public health retention on the other during the pandemic.
An Investigation of the Impact of Social Vulnerability Research on the Practice of Emergency Management
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 include vulnerability as poverty and culture, vulnerability as a lack of security, vulnerability as a moral imperative, and vulnerability as a lack of awareness and knowledge. In terms of strategies employed to address social vulnerability, the data suggest four themes: leaving it to the professionals, bringing in volunteers, leveraging protocols to build buy-in, and fostering flexibility. The findings reveal the importance in closing the knowledge gap between research and practice, because increased damage, harm, and death can occur when the social inequalities of everyday life are not addressed in the planning process by emergency managers. The findings also reveal that …
Procurement of Smart City Technologies: Smart City or Smart Governance?
This dissertation argues that the core of building smart cities is through the procurement and implementation of smart city technologies (SCTs) by either individual (i.e., smart city) or collaborative endeavors (i.e., smart governance). Given that urbanization problems (e.g., air pollution) usually spill over city boundaries, building smart cities as silos may not solve these problems. Therefore, utilizing smart governance in SCT procurement and implementation should be a better approach. Considering the potential benefits of smart governance, this dissertation addresses three overarching questions: (1) What is a smart city? (2) What is smart governance? and (3) Why do some cities choose to participate in smart governance while others do not? By developing a typology of smart governance, this dissertation categorizes three levels of smart governance based on cities' participation in cooperative procurement and implementation of SCTs. Data collected from the 2019 Smart Governance Survey confirm that the level of smart governance does vary among Texas cities. Applying transaction costs and institutional collective action (ICA) frameworks, the dissertation finds that public managers' perceptions on transaction costs and joint gains as well as cities' extant ICA mechanisms affect cities' participation in smart governance.
Connected and Benevolent: The Positive Impact of Social Connections in Reducing Economic Concerns for Volunteering
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.
The Impact of Surveillance Technology on the Behaviors of Municipal Police Departments
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 to correct for selection bias in truncated data for sustained complaints after log transformation. The results suggest that the use of surveillance technology by the police is necessary, but insufficient, in reducing the number of complaints. The finding suggests that videotaped evidence, recorded by surveillance technology, increased the number of convictions of accused officers in municipal police departments. The analysis also suggests that municipal police departments that used CCTV only in 2003 received a higher number of citizen complaints, in comparison to municipal police departments without CCTV, both in 2000 and 2003. No evidence was found to indicate that surveillance …
Needs and Membership in Terrorist Organizations
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) die not yield any significant relation with membership in terror groups.
Understanding and preventing police use of excessive force: An analysis of attitudes toward police job satisfaction and human rights laws.
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 use of excessive force. Based on the analyses of findings, educational and policy implications are posed for Turkish police administrators to better understand and prevent police use of excessive force.
The Civic Roles of Neighborhood Associations in Seoul, Korea: Implications for Urban Governance
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 urban governance.
Age Friendly Cities: The Bureaucratic Responsiveness Effects on Age Friendly Policy Adoption
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 strategies, and budgetary principles. Cities with a cultural awareness of aging are more likely to adopt age friendly policies. Findings also provide support for the argument that the public administrator is not the driving sole factor in decision making. A shared spaced with mobilized citizen need of individuals 65 and over is identified.
Citizen Involvement and Law Enforcement: Does Coproduction Affect Organizational Efficiency and Organizational Effectiveness?
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 have a statistically significant impact on crime rates. Both analyses, however, provided support for the positive impact of citizen involvement on crime clearance rates. Finally, findings suggested that citizen involvement in public organizations and its effects on the production and delivery of public goods and services are overestimated from the perspective of law enforcement.
Reform and change in police education: Examining the variations in the top-down and bottom-up structures in the process of implementation.
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.
Organizational Citizenship Behaviors Among Public Employees In Guadalajara Metropolitan Area, Mexico
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 the organization without expecting any kinds of reward (indirect effect). In addition, if employees have a strong motivation to serve in the public sector, they are also likely to have a favorable view on the performance of the organization; and that, the positive effect is mediated by their tendency to act for the goodness of other employees and organizations without expecting some form of reward (indirect effect). A multi-group analysis, based on the hypothesized model, revealed the associations varied across three groups: difference between male and female, places of employment within the public sector (i.e., local or state government), and …
The Impact of Property Tax Exemptions on the Fiscal Behavior of Cities: A Longitudinal Analysis of 41 Texas Cities
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.
Disasters, Smart Growth and Economic Resilience: An Empirical Analysis of Florida Cities
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 disaster experience of communities and their level of economic resilience, highlighting the importance of community learning in building capacity for resilience after disasters. The results also highlight the need of balancing mitigation and adaptation strategies. Mixed-use development policies, green building certification, and energy savings policies were found to have a significant positive impact on economic resilience.
Drilling Down Natural Gas Well Permitting Policy: Examining the Effects of Institutional Arrangements on Citizen Participation and Policy Outcomes
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 gas well permitting process. The investigation includes a complete census of 185 approved gas wells from four North Texas cities between the years 2002-2012; 20 interviews comprised of city officials and drilling operators; and archival records such as gas well site plans, ordinances, on-line government documents and other public information. The findings reveal that zoning institutions are associated with a 15% longer gas well setback than siting institutions and institutions without waivers are associated with a 20% longer gas well setback than institutions with waiver rules. The practical implications suggest that citizen participation has a positive effect on public safety …
Entrepreneurial Orientation: An Interdisciplinary Approach to Public Entrepreneurship in Saudi Arabia
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 for achievement and need for power tend to be more entrepreneurial, while need for affiliation fails to predict entrepreneurial orientation. Furthermore, the findings suggest that a high level of hierarchy and formalization in public organizations is negatively associated to entrepreneurial orientation, while a high level of autonomy is positively associated with entrepreneurial orientation. Finally, the study finds that employees with a high level of breadth and depth of experience (human capital) are more likely to be entrepreneurial, while a high level of bonding social capital and bridging social capital promote a negative and a positive entrepreneurial orientation, respectively.
The Study of Network Governance in Continuum of Care (CoC), Homeless Service Networks in the US: Institutional Collective Action Framework
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 administrative organization (NAO) form, and 4) Interviews by the representatives of CoC networks. The findings inform us of the governance structure for the effective service provisions and coordination of actions of network members and about why and how network organizations choose a form of network governance.
Housing Recovery, Reinvestment Decisions, and Neighborhood Institutions
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 important to nurture neighborhood institutions to build a resilient community-based recovery system.
The Economic Impact of Expenditures by Local Governments and Nonprofits on Property Values: Evidence from 41 Large Texas Cities
This dissertation uses property values to investigate the economic effect of public expenditures for operations and capital improvements on place value. Given the increasing role of nonprofit services in augmenting those of cities and school districts, the dissertation research investigates whether nonprofit expenditures join those of cities and school districts as Tiebout commodities, thereby contributing to place value. Furthermore, the research examines whether those expenditures contribute to reducing the inequities in the distribution of property wealth. The conceptual framework for the dissertation is the Tiebout model and its various extensions. The model proposes that individuals have different preferences for public goods and services, and there are many jurisdictions that vary in the services provided. Consequently, individuals shop around for the community that best matches their preferences and locate in the one that maximizes their utility. If the model correctly predicts households' behavior, then the quality of public goods and services provided by a community will affect its desirability. The more attractive a community, the higher the demand for its properties, which results in higher property values. The dissertation research finds that city public capital spending positively impacts property values in two ways. Property values respond positively to (1) the announcement of capital investments (i.e., ongoing capital expenditures), and (2) the amenity created when capital projects become operational (i.e., when operating expenditures are combined with capital stock). The results also show that nonprofit capital stock and spending on operations affect property values differently depending on the nonprofit category. The findings further reveal that local public and nonprofit spending benefit owners of lower and medium valued properties more than owners of higher valued properties. This finding suggests that local government and nonprofit spending contribute to reducing inequities in the distribution of property wealth.
The Impact of the Introduction of Value-Added Tax on Saudi Arabia's Economy, Budget, and Governance
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 is not associated with an increase in e-participation or voice and accountability. However, VAT is associated with increase in government effectiveness and control of corruption. In other words, VAT impact on the quality of public administration is more pronounced than citizen engagement.
Interorganizational Collaboration in Implementing Urban Greening Policies in Saudi Arabia: An Institutional Collective Action Framework
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 12 major organizations most central within the network (i.e., 11 public organizations, and 1 private organization). Also, the findings revealed that among the 12 organizations, the most central organization within the network was the Ministry of Environment, Water, & Agriculture. Further, the empirical findings indicated that bonding relationships among organizations increase the levels of perceived success in the collaboration to implement urban greening projects. The results indicated that network betweenness (bridging) has no statistically significant effect on the perceived success in interorganizational collaboration. The findings revealed that the three categories of collaboration risks, coordination problems, division problems, and defection problems …
A Study of Nonprofit Governance through the Lens of Stewardship Theory
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.
Third-Party Perception: Implications for Governance and Communication of Health Risks during the Umrah in Saudi Arabia
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 MERS-CoV news had a similar or greater effect on other pilgrims. The findings indicated socio-demographics had a partial effect on third-person perception, Finally, the stronger the perceived effect of MERS-CoV news on oneself, the more likely these pilgrims were to take protective actions against the MERS-CoV epidemic. However, the third-person perception anticipated in the use of impersonal communication (pamphlets, television, radio, newspapers, Internet, social media, text message, health clinics, mosques messages, public events, and billboards) and of interpersonal communication (friends, family member, or others you know) was not found significant. Moreover, the perceived effects of MERS-CoV news on others did …
An Analysis of the Flypaper and Fungibility Effects of Intergovernmental Revenue on Municipal Operating and Capital Budgets
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.
Perceptions of Public Health Professionals and Emergency Managers: Using the Institutional Collective Action Framework to Better Understand Coordination during Health Crisis
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 Ebola virus disease in Dallas Forth Worth region. The findings for the study indicate that due to collaboration risks and inaction by local governments, governance arrangements clear the path to collective action.
Study of Homeless Emergency Discharge Coordination: Understanding Challenges and Success Factors to Collaboration Maturity
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.
Exploring Factors Affecting Public Service Motivation: An Investigation of Public Service Motivation in Saudi Arabia
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 employees whose parents work or have worked in civil service demonstrated a high level of PSM compared with employees whose parents do not work in civil service. Regarding the moderation hypotheses, interestingly, the analysis shows that education, gender, and income do not moderate the effect of employee engagement on public service motivation.
A Study Examining the Financial Conditions and Collaborative Efforts in the Context of Smart Initiatives among Local Government
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.
A Multi-Level Governance Approach to Understanding Fragmentation in the Implementation of Stormwater Policies
This dissertation argues that stormwater management is fragmented both at that vertical fragmentation (at the level of intergovernmental relations) and horizontal fragmentation (within the level of governments). The first essay focuses on the institutional arrangements used by states to implement stormwater management policies. Building on the race to the bottom literature, I examine the impact of the institutional arrangement centralization on state water quality in California, Texas, Virginia, and Minnesota. A five-year (2013-2018) permitting cycle was used to analyze five dimensions: formalism, coercion, education, prioritization, and accommodation.There is an inverse relationship between the quality of stormwater and the degree of centralization in the institutional arrangements adopted by state governments to implement their stormwater management policies. The second essay focuses on a local government's decision to join an inter-local agreement to comply with federal/state stormwater management policies. Building on the transaction cost framework, the study used a cross-sectional design to analyze a case study. The case study consists of 119 cities subjected to stormwater regulation requirements in northern Texas during 2017. The dependent variable is the membership of the regional inter-local agreement, and the independent variables are the number of neighboring cities and population density. Community wealth, public works spending, stormwater fees, government type, and the percent of the population over 65 were used as control variables. Logistic regression was used for data analysis. This study concludes that the increase in the number of neighboring regulated local governments is associated with an increase in the likelihood of a decision by the regulated local government to join an interlocal agreement (ILA), as well as finding that an increase in the population density is associated with an increase in the likelihood of a decision by the regulated local government to join the ILA. In addition, the study found that the type of government …
Return-Entry Risk Communication Following 2012 Hurricane Sandy
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.
Economic Resilience, Disasters, and Green Jobs: An Institutional Collective Action Framework
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.
Demand and Supply Explanation: Nonprofit Size in Homeless Service Area
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 have more nonprofit organizations when we control community size. Also, we found the communities with a greater number of educated individuals are more likely to invest in nonprofit organizations. And it was noteworthy that the higher education institution was a positive supply factor for the nonprofit size in our communities.
Analyzing the Joint Effects of Network and Community Attributes on Network Performance: Evidence from Local Continuum of Care Homeless Service Networks
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 be a useful method for evaluating the performance of public service networks and helping them provide more services more effectively.
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