Theses and Dissertations from UMD
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New submissions to the thesis/dissertation collections are added automatically as they are received from the Graduate School. Currently, the Graduate School deposits all theses and dissertations from a given semester after the official graduation date. This means that there may be up to a 4 month delay in the appearance of a give thesis/dissertation in DRUM
More information is available at Theses and Dissertations at University of Maryland Libraries.
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Item WARRIORS, GUARDIANS, WOLVES, AND SHEEP: OFFICER PERCEPTIONS OF POLICE-CIVILIAN IDENTITIES AND THE PERSISTENCE OF ORGANIZED INEQUITY(2024) Powelson, Connor Reed; Ray, Rashawn; Sociology; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Despite nearly a decade of community engagement and police reform efforts guided by the Warrior/Guardian paradigm, there remains little evidence of police culture change and rates of racially disproportionate police misconduct remain a social problem. In this work, I bring officers into this conversation and leverage the Warrior/Guardian paradigm as a starting point for an exploration of how identity structures constitute police organizational culture and practice, its consequences, and its potential for change. The present work contributes to the public and scholarly discourse on police culture and the role of identity processes in the reproduction of organizational practices. I characterize police culture as a set of identity schemas that connect people, practices, and social resources. I chart three domains of symbolic interaction that characterize the intersection of police structure, police culture, and public culture and account for police organizational rules and practices that distribute law enforcement outcomes and pattern organized inequity.Item A NOVEL APPLICATION OF SELECT AGILE CONCEPTS AND STOCHASTIC ANALYSIS FOR THE OPTIMIZATION OF TRAINING PROGRAMS WITHIN HIGH RELIABILITY ORGANIZATIONS IN HIGH TURN-OVER ENVIRONMENTS AT EDUCATIONAL INSTITUTES AND IN INDUSTRY(2023) Blanton, Richard L; Cui, Qingbin; Civil Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)High-turnover environments have been extensively studied with the bulk of the literature focusing on the negative effects on business operations.[1] They present challenges to the resilience of the organization while also limiting the potential profitability from consistently having to spend time training new staff. Furthermore, in manufacturing environments inexperienced staff are prone to mistakes and uncertainty, which can lead to increases in scrap materials and lower production rates due to a lack of mastery of the process. From an organizational standpoint a high-turnover environment presents an unmitigated risk to the organization from the continuous loss of institutional knowledge. This loss can present challenges to the organization in numerous ways, such as capital equipment that no longer has staff qualified or experienced enough to use it leading to costly retraining by the manufacturer or increased risk of a catastrophic failure resulting in damage to the equipment and or injury to the staff. Furthermore, the loss of institutional history leads to the loss of why operations are performed a certain way. As the common saying goes, “those who forget history are bound to repeat it.” which can lead to substantial costs for the organization while old solutions that were previously rejected due to lack of merit are constantly rehashed due to a lack of understanding of how the organization arrived at its current policies. This thesis presents a novel framework to mitigate the potential loss of institutional knowledge via a multifaceted approach. To achieve this a specific topic was identified and used to frame questions that guided the research. Mitigation of the negative impacts of high-turnover in manufacturing environments with a specific focus on the optimization of training programs. This topic led to the formulation of the following research questions. What steps can be taken to reduce the chance of lost institutional knowledge in a high-turnover environment? What steps can be taken to reduce the time needed to train a high performing replacement employee, while maintaining strict performance and safety standards? What steps should be taken to improve the accuracy of budgetary projections? What steps need to be taken to enable accurate analysis of potential future investment opportunities in a training program. The answers to the above research questions are compiled and presented with the aim to provide professionals, who are responsible for training programs in high-turnover environments that require a high organizational reliability, with a framework and analysis toolset that will enable data-driven decision making regarding the program. Additionally this thesis provides a framework for addressing the continuous risk of loss of institutional knowledge. When contrasted with a standard training model, where a trainee is presented with new material and then tested for retention before moving to the next topic, the proposed model implements a schema that can be rapidly iterated upon and improved until the desired performance outcome is achieved, while increasing the potential accuracy of budgetary estimation by as much as 57%. Throughout the process, decision makers will have insight into the long term effects of their potential actions by way of running simulations that give insight into not only the expected steady-state cost of a program but also the rough volume of trainees required to achieve that steady-state.Item COLLABORATIVE PROBLEM-SOLVING IN THE INNOVATION ECOSYSTEM(2022) Chen, Mo; Waguespack, David M; Zenger, Todd R; Business and Management: Management & Organization; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)In this dissertation, I use archival data and a formal model to investigate how actors (firms) organize their innovation and coordinate in an innovation ecosystem and what the evolutionary outcome of the ecosystem is. Empirically I study Linux Kernel, the most commercially important open-source project. As of 2017, Linux has more than 99% of the market share in supercomputing, more than 90% market share of public clouds, and around 82% market share of smartphone operating systems. With over 1700 subsystems and over 50000 files, the Linux kernel is one of the most complex systems in innovation history. Moreover, unpaid work only contributes 8.2% to Linux kernel development. Ten big corporations contribute around 40% of development efforts (The Linux Foundation, 2017). Characterized by diverse commercial interests and high-level knowledge heterogeneity and complexity, Linux Kernel provides an ideal setting to understand open collaboration and coordination in an ecosystem. The first chapter investigates how individual innovations evolve in a complex ecosystem. While innovation outcomes have been extensively studied in strategy and related literature, prior studies often abstract away from the interdependent nature of innovation within broader assemblies or systems of technologies. Adopting the problem-solving perspective, I study how three types of complexity — technological, cognitive, and incentive — impact the coordination process of a proposed innovation becoming integrated into the shared infrastructure of the ecosystem. By focusing on Linux Kernel development, a rare setting where the technological and actor interdependence are both observable, I provide evidence of how technological interdependence, a critical concept in organization design, is associated with difficulty in reaching satisfactory solutions. The research context provides a setting to study how heterogeneous interests and potential conflicts between system participants impact innovation outcomes. The results also show that cognitive complexity, measured by the uniqueness of innovation, has a U-shaped relationship with innovation integration. In the second chapter of my dissertation, I investigate the tradeoff between discovery and divergence in the open form of collaboration in the innovation ecosystem. Building on the insight from problem-solving literature, I argue that strategic knowledge accumulation, i.e., actors shape knowledge creation based on self-interest, can create potential conflicts between the system and individual actors and thus impact the open innovation outcomes significantly. I then use a simulation approach to investigate the appropriateness of various coordination mechanisms for innovation systems with varying degrees of complexity and different patterns of the same level of interaction. Results show that both the level of complexity and the way the attributions interact impact the effectiveness of coordination mechanisms. Without system-level incentives, granting veto power to the individual actor would increase strategic knowledge accumulation hazard and thus decrease performance when complexity exists. With the system-level incentive, the composite solution and veto power could improve the overall system performance for systems of a wide range of complexity and interaction pattern. Yet modularized or "core-peripheral" systems see the best performance when no coordination mechanism exists. In the third chapter, I explore the evolutionary pattern of an innovation ecosystem and its components. While research has investigated how interdependence at the system-level impacts innovation in the ecosystem extensively, little is known about how micro-structure interdependence and local social environment impact individual components' evolution within an ecosystem. Utilizing Design Structure Matrices (DSMs), I explore the development of the Linux Kernel technological system and the ecosystems it is embedded in. The results, while exploratory, suggest that component level interdependence and the alignment between technological structure and designed communication channel are associated with an increased chance of component survival. The results also show that local environments' social composition, such as commercial participation percentage and concentration of power, have implications for the component survival.Item PEER EFFECTS IN ORGANIZATIONS: THE ROLE OF INFORMATION, COMPETITIVE, AND SOCIAL ENVIRONMENTS(2020) LEE, HYEUN Jung; Beckman, Christine M; Ding, Waverly W; Business and Management: Management & Organization; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)My dissertation seeks to answer questions about how peers influence performance in organizations. Specifically, my research investigates the information environment in which firms operate, competition among peers, and the social environment in which organizations are embedded. These organizational conditions shape the extent to which peers share information and influence one another. Empirically, I examine my research questions in an educational setting and a corporate setting, featuring datasets collected from multiple years of fieldwork. In the first part of the dissertation, I focus on security analysts and explore reasons why female analysts reap systematically lower returns from peers compared to male analysts. I argue that women face challenges in accessing and processing information from their male peers due to segregation of information within organizations. I explore this information mechanism using a policy (Regulation Fair Disclosure) that changed the information environment among security analysts. In the second and third parts of my dissertation, I focus on how performance is evaluated among peers and the broader social environment in which organizations are embedded. Specifically, I ask: 1) What is the role of competition in predicting the direction of peer effects? 2) How do gender stereotypes in the social context influence the magnitude of peer effects? In exploring these questions, I leverage random roommate assignment as well as teacher assignments in an educational setting.Item An Autoethnographic Account of Innovation at the US Department of Veterans Affairs(2020) Casertano, Andrew E; Marciano, Richard; Library & Information Services; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)The history of the U.S. Department of Veterans Affairs (VA) health information technology (HIT) has been characterized by both enormous successes and catastrophic failures. While the VA was once hailed as the way to the future of twenty-first-century health care, many programs have been mismanaged, delayed, or flawed, resulting in the waste of hundreds of millions of taxpayer dollars. Since 2015 the U.S. Government Accountability Office (GAO) has designated HIT at the VA as being susceptible to waste, fraud, and mismanagement. The timely central research question I ask in this study is, can healthcare IT at the VA be healed? To address this question, I investigate a HIT case study at the VA Center of Innovation (VACI), originally designed to be the flagship initiative of the open government transformation at the VA. The Open Source Electronic Health Record Alliance (OSEHRA) was designed to promote the open innovation ecosystem public-private-academic partnership. Based on my fifteen years of experience at the VA, I use an autoethnographic methodology to make a significant value-added contribution to understanding and modeling the VA’s approach to innovation. I use several theoretical information system framework models including People, Process, and Technology (PPT), Technology, Organization and Environment (TOE), and Technology Adaptive Model (TAM) and propose a new adaptive theory to understand the inability of VA HIT to innovate. From the perspective of people and culture, I study retaliation against whistleblowers, organization behavioral integrity, and lack of transparency in communications. I examine the VA processes, including the different software development methodologies used, the development and operations process (DevOps) of an open-source application developed at VACI, the Radiology Protocol Tool Recorder (RAPTOR), a Veterans Health Information Systems and Technology Architecture (VistA) radiology workflow module. I find that the VA has chosen to migrate away from inhouse application software and buy commercial software. The impact of these People, Process, and Technology findings are representative of larger systemic failings and are appropriate examples to illustrate systemic issues associated with IT innovation at the VA. This autoethnographic account builds on first-hand project experience and literature-based insights.Item School District Adoption and Implementation of a Learning Management System: A Case Study Using Rival Theoretical Lenses(2018) Hyde, Laura Highstone; Croninger, Robert; Malen, Betty; Education Policy, and Leadership; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This study explored school district adoption and implementation of a learning management system. A substantial body of literature exists on school district data systems. However, this literature is highly rational in its view of data system adoption, and contains limited studies on learning management systems. With these liabilities in mind, this study used rival theoretical lenses from organizational theory, the rational perspective and the institutional perspective, to investigate these central questions: 1) how does a school district adopt and implement a learning management system and 2) how, if at all, do rational theory and institutional theory explain contextual forces and organizational actions in this process? These questions were answered with a single, exploratory case study in a school district that had recently adopted and implemented a learning management system. The multivocal literature that guided this study contains four strands: evaluative, status report, prescriptive, and specialized. Study findings revealed that the district engaged in a three-stage process of adoption, planning, and implementation of a learning management system. Although the rational perspective explained findings that aligned with the multivocal literature in the adoption and planning stages, district actions in the implementation stage were more clearly understood from the institutional perspective. Organizational processes in formalization, coupling, alignment, adaptiveness, and accountability, and external, contextual forces in accountability, privatization, and diffusion of innovation, proved to be salient concepts. These findings suggest that rival, theoretical lenses have utility in an investigation of school district learning management system adoption and implementation.Item The Relationship Between School Climate Dimensions and Reading and Mathematics Achievement Scores in Elementary Schools(2018) Camilleri, Vanessa A; Croninger, Robert; Education Policy, and Leadership; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)School climate is a malleable construct that schools or districts can utilize to target the individualized needs of specific groups of students. The purpose of this study was to examine the relationship between perceptions of different school climate dimensions and reading and mathematics achievement scores for elementary school students of different gender, grade level, and prior achievement. There is general agreement that school climate is a composite variable made up of many dimensions (Brookover & Erickson, 1975). For school climate to become an important avenue for school reform and improved educational practice, it must be defined in terms of specific contributing dimensions, then studied in terms of the relationship between each climate dimension and achievement scores for different groups of students. To examine the research questions, a two-stage quantitative analysis of data was utilized using school-level data first and student-level data second. Measures utilized included measures of school climate, measures of reading and mathematics achievement, and individual characteristics. The data analysis procedures included bivariate regression and multiple regression. The findings indicated that the most consistent school climate dimensions to have a significant association with student achievement in reading and mathematics were “safety,” and “interpersonal relationships,” as well as several of their subdimensions. Overall, these dimensions were more frequently predictive of mathematics achievement as opposed to reading achievement, male achievement as opposed to female achievement, and 4th grade achievement as opposed to 5th grade achievement. Continued study of the relationship between dimensions of school climate and student achievement could help solidify the literature regarding the efficacy of school climate as an adequate measure of school quality as it relates to student outcomes such as reading and mathematics achievement.Item Essays on Organizational Choices under Uncertainty(2017) Sharma, Siddharth; Beckman, Christine; Chung, Wilbur; Business and Management: Management & Organization; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Environmental uncertainty has been widely studied by organizational theorists and strategy scholars. In this dissertation, I aim to contribute towards a further understanding of the implications of environmental uncertainty on organizational choices. I develop a general framework, across the two chapters, which links the effect of uncertainty on organizational choices, mediated by changes in the competitive landscape. In my two chapters, I look at different types of uncertainty namely, state uncertainty and effect uncertainty. I explore how these types of uncertainties impact the competitive landscape either by compressing performance difference between organizations and changing the viability of positions on the landscape respectively. As a consequence of the changing landscape, I study the strategic behavior response of organizations as they engage in risk-taking or repositioning. I test my theoretical predictions across two interesting empirical constructs of Formula 1 car racing and the Consumer Electronics Show. Also, I also employ the use of a simulation model in my second chapter to supplement my empirical context.Item Essays on Motives and Market Outcomes(2015) Stroube, Bryan Kaiser; Waguespack, David M.; Business and Management: Management & Organization; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This dissertation examines the existence of heterogeneous motives in markets, particularly how a tension between profit motives and other utility can shape outcomes for organizations and individuals. I explore this tension in the context of biases, organizational identity, and investment behavior. Each of the three empirical chapters employs decision-level data from a different online crowdfunding platform. Academic researchers and the general public are increasingly interested in the phenomenon of "crowdfunding." The term, however, encompasses an incredibly diverse set of activities---ranging from the facilitation of for-profit start-up investments to the charitable funding of medical procedures. This diversity can make it difficult to generalize research insights from studies of any particular instance of the phenomenon. In the introductory chapter I develop a general framework for understanding the source of observed behavior on crowdfunding platforms given some simple assumptions about platform policies.The goal is to provide context for the subsequent chapters of the dissertation. The first empirical chapter examines biases against demographic groups, which are typically explained by one of two mechanisms: either decision makers have a taste for one demographic group over another, or demographics are employed as informational proxies for other unobserved but economically important traits. These mechanisms are difficult to empirically untangle despite the theoretical and practical importance of separating them. I attempt to do so in a Chinese peer-to-peer lending market by leveraging a loan guarantee policy that reduces the economic rationale for lenders to discriminate on borrower demographics such as gender and geography. Comparison of pre- and post-policy periods therefore provides a fruitful tool for measuring the degree of taste versus informational bias. I find that female borrowers appear to receive a preferential informational bias but a negative taste bias, while lenders' geographic bias toward borrowers located in the same province appears to be driven predominately by informational processes and not taste. These findings have implications for multiple sets of decision makers and underscore the theoretical importance of accounting for motives. Chapter two examines the potentially conflicting investment motives found on a non-profit hybrid identity crowdfunding platform, where simultaneous market-like and charity-like motives may lead lenders to respond differently to funding requests from entrepreneurs who appear to have high economic ability and high personal need. I survey actual lenders on the platform to measure their stated preferences for borrowers who fit each of these categories. I find that 1) lenders vary in their preference for these categories and this preference is correlated with their demographics, and 2) past loans made by lenders with an above-average preference for both need and ability were funded faster than loans in other categories. These results highlight how actors' preferences are largely endogenous to the market in which they are observed. In the final chapter I present the results of a simple online experiment conducted in conjunction with a peer-to-peer lending website. Potential lenders were presented randomized versions of the platform's lender registration web page. The content of the page varied in whether it promoted the potential social benefit of lending versus only the financial benefit. No difference was found between the treatment and control groups. The experiment provides some insight into how lenders self-select into crowdfunding activity and may serve as a model for similar experiments on other platforms.Item AN EMERGING GROUNDED THEORY OF FACULTY HIRING PROCESSES IN UNIONIZED COMPREHENSIVE UNIVERSITIES(2015) Lounder, Andrew; O'Meara, KerryAnn; Education Policy, and Leadership; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)ABSTRACT Title of dissertation: AN EMERGING GROUNDED THEORY OF FACULTY HIRING PROCESSES IN UNIONIZED COMPREHENSIVE UNIVERSITIES Andrew D. Lounder, Doctor of Philosophy, 2015 Dissertation directed by: Professor KerryAnn O'Meara Department of Counseling, Higher Education, and Special Education Growth in part-time faculty workforces in U.S. higher education since 1970 has been remarkable. Part-time faculty growth as a percentage of the whole has occurred most rapidly in comprehensive universities in recent years and carries with it important implications for student instruction. Comprehensive universities are of critical importance to the realization of higher levels of educational attainment by underserved and nontraditional college populations. The purpose of this study is to understand instructional faculty hiring processes in comprehensive universities. The study is derived from an application of grounded theory research methods within and across three university settings. Analysis shows administrators at all levels of the organizational chart (i.e., department chair, dean, and provost) follow a cycle of activities that results in both direct and indirect (or systemic), outcomes in faculty hiring. First, they scan the environments in which they are situated for possible risks to their work including faculty hiring. Second, they perceive risks, including risks of opportunity, from their own viewpoints. Third, and of central importance, they assert decision role changes in response to the risks they perceive. That is, they take action. Finally, they establish ownership of new decision responsibility. A visual model depicting the grounded theory is shared. Findings position faculty hiring as an outcome of rule following decisions and risk response rather than rational choice. Part-time faculty hiring is found to function as an organizational release valve, which circumvents role tension of the sort experienced among department, college, and university administrators in full-time faculty hiring. Implications for university-level faculty hiring policy and practice, as well as for future research, are discussed. One conclusion is that university decision makers should be more strategic about faculty hiring by aligning the process with desired outcomes.