ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
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For analysis, 541 counties were selected, and their noncitizen enforcement results under S-Comm were analyzed with 5 time points, covering a 13-month period (Dec. 2011 - Jan. 2013) with longitudinal data analyses. In spite of the rosy advertisement of this program, analysis of S-Comm showed a very different picture. Unlike the federal immigration agency's promise of targeting dangerous criminal noncitizens, 1 in 4 noncitizen removals were for noncriminal violations, and more than half of noncitizen deportations were for misdemeanor charges and immigration violations in the name of "criminal aliens." Based on latent class analysis, three distinct subgroups of counties having different immigration enforcement policy perspectives were extracted, and there have been huge local variations over time on two key intergovernmental enforcement actions under the implementation of S-Comm: immigration detainer issuances and noncitizen deportations. Finally, unlike the federal immigration agency's "immigrant-crime nexus" assumption for legitimating the implementation of S-Comm, no significant and meaningful associations between these two factors were found. With serious conflicts and debates among policy actors on the implementation of S-Comm, this program was finally terminated in November 2014; although, the essence of the policy continues under a different name.
A series of results from this study indicate that the current enforcement-only policy approach has been wrongfully implemented, and fundamental reconsideration of immigration policy should be made. Enforcement-focused immigration policy could not solve fundamental immigration-related problems, including why noncitizens immigrate and how they should be dealt with as humans. More rational and humane approaches to dealing with immigration should be discussed at the national and local levels.
In the first essay, findings from statistical modeling using instrumental variables suggest that academic researchers who receive administrative support for grant writing and management obtain fewer grants and have a lower success rate. However, the findings also suggest that the grants these researchers do receive are much larger in terms of dollars. The results indicate that administrative support is particularly beneficial in academic grant situations of high-risk, high-reward. In the second essay, ordered logit models reveal a statistically significant and stronger relationship between staff intensity (i.e., the ratio of faculty to staff workers) and faculty stress than the relationship between executive intensity (i.e., the ratio faculty to executive and managerial workers) and faculty job stress. These findings confirm theory that the work of faculty is more loosely coupled with the work of executives than it is with staff workers. A possible explanation is the increase in administrative work faculty must take on as there are fewer staff workers to take on administrative tasks. And finally, in the third essay results from multi-level modeling confirm that both role clarity and institutional support positively affect both a global measure of faculty job satisfaction and faculty satisfaction with how their work time is allocated. Understanding the effects that administrative structure has on faculty outcomes will aid universities as faculty administrative burdens ebb and flow in reaction to macro trends in higher education, such as unbundling of faculty roles, unbundling of services, neoliberalism, liberal arts decline, and administrative bloat.
This research reveals how governments cut budgets during fiscal crises and what pattern may emerge based on the cuts. It addresses a significant gap in literature by looking into the details of an agency for a full recession period to explain how cutback requirements were met. Through investigating a large Arizona state agency during the 2008 recession in the United States, the research reveals that cutback management is a stage-by-stage process lagging the immediate deterioration of the state’s economy and that patterns found among cuts are more often rational than not.
Cutbacks in this agency proceeded through three stages: the beginning, middle and the end period of cuts. In each stage, the author used descriptive analysis, process map analysis and cause and effect analysis to explore the features of cuts made. These methods of analysis were used to break down an annual budget reduction into original appropriation budget cuts, mid year reductions and the final budget cuts required to end the fiscal year in balance. In addition, the analytical methods permitted more detailed analysis of specific appropriation line items. The information used was secondary data collected from seven fiscal years around the recession and from various sources, including budgetary materials, legislation, accounting materials and many program reports related to budget cuts.
The findings suggested that across-the-board cuts are implemented at the beginning of cutback stage mainly to non-mandatory programs without jeopardizing the core functions of the agency. Later, in the middle period of the recession, selective cuts are made on large programs. Fund transfers and excess balance transfers are also preferred to reduce the budgets of other restricted funds. At the end stage of budget cuts, new revenue sources are established to support programs which had relied on general fund revenues in the past.
Overall, the cutback process observed in this research reflects decremental and rational patterns of decision making, contrasting with the randomness observed in previous research on cutback management. Across the board cuts are decremental; the remainders are rational, even strategic decisions. This investigation reminds researchers to be aware of the context and the level of observation when analyzing cutbacks.
This dissertation asks how and why the emergence of competition in the political and economic domains leads to a transformation of the patterns of corruption. I define corruption as an act involving a public official who violates the norms or regulations of their office, receives some compensation in return, and thus harms the public interest.
I argue that under conditions of a communist past and high levels of uncertainty, the simultaneous emergence of political and economic competition transforms the opportunity structures of actors to engage in corruption. The resulting constellation of powerful incentives for and weak constraints against corruption encourages political and economic actors to enter into corrupt state-business relationships. Finally, the resource distribution between the actors in the corrupt state-business relationship determines the type of corruption that emerges—legal corruption, local capture, or covert political financing.
To test the causal mechanism, I employ intensive process-tracing of the micro-causal mechanisms of eleven corruption cases in Poland and Hungary. Using paired comparisons of cases from the same business sector but at different points in time, the dissertation examines how corruption patterns transformed over time in Poland and Hungary.
The dissertation shows that the emergence of political and economic competition changes the opportunity structures of actors in favor of corruption. Moreover, the new constellation of incentives and constraints encourages political and economic actors to establish corrupt state-business relationships. Crucially, I find that the resource distribution within these corrupt relationships determines the type of corruption emerges—local capture where both sides have concentrated resources that balance each other out, legal corruption when a strong economic actor confronts a fragmented political actor, and covert political financing when a weak economic actor faces a strong political actor.
To reduce forecasting errors caused by revenue punctuations in government revenue collections, I argued that analysts must not dismiss outliers as extraneous or useless phenomena. My research revealed an approach to incorporate outliers or punctuations into revenue forecasting. First, this research studied the criterion for judging the appearance of revenue punctuations using state governments’ quarterly collections of the five largest taxes from 1977 to 2016. Second, the research explored the patterns of these revenue punctuations, specifically the relationship between the changes in dollar amount and the amount of time from one revenue punctuation to another.
Inspired by the few statistical techniques for identifying outliers, this research applied the studentized residuals method to detect the revenue punctuations. The result revealed that all five tax categories for each state have revenue punctuations, except Motor Fuels Tax in the state of Tennessee.
Furthermore, this research disclosed that while not all the states and all the tax categories have statistically significant relationships between the depth and length of revenue punctuations, some states still have valid relationships. For the states that have statistically significant relationships, a forecaster, knowing depth, could calculate length and vice versa. Thus, the forecasting errors caused by revenue punctuations could be reduced when the protocols my research identified are used.
This dissertation fills the crucial knowledge gap in contract administration functions and tools for DB and CM/GC highway project delivery. First, this research identifies and models contract administration functions in DBB, CM/GC, and DB using integrated definition modeling (IDEF0). Second, this research identifies and analyzes DB and CM/GC tools for contract administration by conducting 30 ACM project case studies involving over 90 ACM practitioners. Recommendations on appropriate use regarding project phase, complexity, and size were gathered from 16 ACM practitioners. Third, the alternative technical concepts tool was studied. Data from 30 DB projects was analyzed to explore the timing of DB procurement and DB initial award performance in relation to the project influence curve. Types of innovations derived from ATCs are discussed. Considerable industry input at multiple stages grounds this research in professional practice.
Results indicate that the involvement of the contractor during the design phase for both DB and CM/GC delivery creates unique contract administration functions that need unique tools. Thirty-six DB and CM/GC tools for contract administration are identified with recommendations for effective implementation. While strong initial award performance is achievable in DB projects, initial award performance in this sample of projects is only loosely tied to the level of percent base design at procurement. Cost savings typically come from multiple ATCs, and innovations tend to be incremental rather than systemic, disruptive, or radical. Opportunity for innovation on DB highway projects is influenced by project characteristics and engaging the DB entity after pre-project planning.
Drawing from institutionalism, resource dependence theory, and collaboration scholarship, I developed a set of hypotheses that emphasize two dimensions of data access in local governments. First, a vertical dimension which includes institutions, the social environment - particularly power relationships - and coordination mechanisms implemented by managers. This dimension shows how exogenous - not controlled by public managers - and endogenous - controlled by public managers - factors contribute to a public organization’s ability to access resources. Second, a horizontal dimension which considers the characteristics of the actors involved in data exchange and emphasizes the institutional and social context of intra-organizational, intra-sectoral and cross-sectoral data access.
Hypotheses are tested using survey data from a 2016 nationally representative sample of 500 US cities with populations between 25,000 and 250,000. By focusing on small- and medium-sized cities, I contribute to a literature that typically focuses on data sharing in US large cities and federal agencies. Results show that the influence of government agencies and the influence of civil society have opposite effect on data access, whereas government influence limits data access while influence from civil society increases capacity to access data. The effectiveness of coordination mechanisms varies according to the stakeholder type. Public managers rely on informal networks to exchange data with other departments in the city and other governmental agencies while they leverage lateral coordination mechanisms - informal but unplanned - to coordinate data access from nongovernmental organizations. I conclude by discussing the implications for practice and future research.