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
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Item ACCELERATING RESTORATION THROUGH INFORMATION-SHARING: UNDERSTANDING OPERATOR BEHAVIOR FOR IMPROVED MANAGEMENT OF INTERDEPENDENT INFRASTRUCTURE(2024) Yazdisamadi, Mohammadreza; Reilly, Allison C.; Civil Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This dissertation examines the roles that organizations and individuals play in restoring interdependent infrastructure following disasters through three studies. In the first study, we focus on how operator heuristics affect the collective restoration speed of three interdependent infrastructure (electric power, chilled water, and IT networks). We do this by developing a novel framework that embeds an interdependent infrastructure network within an agent-based model that mimics the decisions and patterns observed of actual operators. The study sheds light on how coordination and information exchange by separate infrastructure parties affect decisions and thus restoration outcomes. In the second study, we examine recovery times and total unmet demand for the same three interconnected infrastructure systems assuming a variable fraction of node removals. The work is decomposed by the extent to which operators share information and coordinate strategies, enabling us to identify at what fraction of network failure does coordination and information sharing become beneficial. Our study indicates that prioritizing restoration based on node centrality produces the speediest recovery. We also show that communication among organizations may improve collective performance by as much as 50%. Our final research project uses a serious game, Breakdown, focused on restoration of interdependent infrastructure to assess whether engineering graduate students gain a deeper appreciation for the complexity of interdependent infrastructure and socio-technical systems more broadly. This is the first serious game designed to emphasize the value of cooperation, communication, and strategy in times of crisis in the field of interdependent infrastructure. As a result of playing Breakdown, graduate students demonstrated statistically significant improvements in engineering decision-making under uncertainty and sociotechnical systems concepts. As a result of this dissertation, the interdependent infrastructure community gains insight into (1) how individual operators' behavior influences the speed at which interdependent infrastructure systems recover; (2) how policies and procedures, like sharing information and cooperating, can help improve outcomes; and (3) the ways to teach graduate engineering students about socio-technical systems effectively. Using an agent-based model simulation, it quantifies the effects of human behavior, communication, and cooperation on recovery outcomes. By using a serious game, Breakdown, it proposes an innovative way to teach graduate engineering students about socio-technical systems.Item Essays on investor preferences and corporate strategies(2024) Nguyen, Huu Loc; Sampson, Rachelle; Business and Management: Logistics, Business & Public Policy; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Time horizon, an investment’s expected payback period, is a consequential investor preference and a crucial determinant of corporate strategy as it can constrain firms’ investment options. However, a gap exists between research focusing on investor temporal preferences and on corporate intertemporal strategy. Therefore, my dissertation offers a multi-level analysis to examine the dynamic relationship between investor temporal preferences and firm strategy. In the first essay, I construct a real-options signaling game model in which time horizon serves as a key determinant of firm strategic responses to shifts in investor temporal preferences. I test my predictions using the emergence of low-carbon energy innovation in the U.S. Oil and Gas industry during 1980-2018. I find that firms adjust their strategies in response to changes in investor time horizons. When faced with a lengthened investor time horizon, firms are more inclined to prioritize long-term inventive innovation, whereas a shortened investor time horizon prompts a greater focus on short-term adoptive innovation. Furthermore, I find suggestive evidence that such commitments when firms align their strategies to investor temporal preferences enhance firms' innovation performance. The second essay extends my investigation in the first chapter to explore the impacts of the inherent information asymmetry between firms and investors on investor-induced firm strategies. I find that, in high information asymmetry contexts, firms overshoot their investor-induced responses to effectively signal their alignment to shifts in investor temporal preferences. In the third (co-authored) essay, we explore the interplay between investor temporal preferences and firm strategies via top management teams. We study how the career experience of top management influences firm strategies and investor temporal preferences. We construct a novel metric to capture, standardize, and compare executives’ career paths across different functional roles, firms, and industries. Our findings indicate that executives with heightened diversity of experience across various functional roles tend to support longer-term strategies, such as income smoothing over time, aligning with the interests of long-term investors. In contrast, executives with more transitions between firms and industries often exhibit more short-term actions, namely cuts in R&D investments, rendering their firms more appealing to short-term investors.Item The Spillover Effect of Environmental Disclosures: Evidence from Customers' Net-zero Pledges(2024) Castillo, Juan; Hann, Rebecca; Business and Management: Accounting & Information Assurance; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This paper investigates the real impact of customers’ voluntary environmental disclosures, specifically, Net-Zero Pledges (NZPs), on the direct greenhouse gas emissions of their suppliers. NZPs represent a growing trend in corporate disclosure, where companies commit to reducing carbon emissions to a minimum level by a specified date, with any remaining emissions being offset by carbon removal actions. Using firms’ connections along the supply chain and a staggered difference-in-differences design, this study provides evidence that suppliers significantly reduce their direct emissions following customers’ NZPs. This effect is more pronounced for NZPs made by customers with greater bargaining power, while suppliers’ reactions are stronger when they have higher carbon intensity and better environmental performance. Furthermore, NZPs of higher quality elicit a stronger response, especially when they limit the use of carbon offsets, set interim targets, and establish public reporting mechanisms. The evidence suggests that this reduction in emissions is achieved by suppliers’ investments in green technologies and innovation, as well as improvements in environmental policies in the years following customers’ NZPs. While these modifications do not seem to change firms’ profitability, they are associated with increased business output and capital investments, though at the expense of additional debt. These findings suggest that customers’ voluntary environmental disclosures can trigger positive spillover effects in upstream suppliers’ real operations, even in the absence of mandatory regulations.Item THE ROLE OF SCIENTISTS AND ENGINEERS IN INVENTIONS AND THEIR ALLOCATION: EVIDENCE FROM JAPAN’S INDUSTRIALIZATION(2024) Yamaguchi, Shotaro; Braguinsky, Serguey; Agarwal, Rajshree; Business and Management: Management & Organization; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)My dissertation seeks to address the role of university-educated scientists and engineers (S&Es) during industrialization, with a particular focus on the sorting of S&Es into invention activities and their allocation process both within and across firms. To achieve this, I delve deeply into the historical context of Japan's industrialization from the late 19th to the early 20th century, a period marked by the simultaneous emergence of multiple heavy manufacturing industries, a higher education system in science and engineering, and the rise of extensively diversified conglomerates known as zaibatsu. Using a manually constructed individual career database encompassing nearly all Japanese university graduates in science and engineering from the cohorts of 1877 to 1920 as an empirical basis, I conduct three independent yet interconnected studies in this dissertation. In Chapter 1, I investigate the factors influencing the sorting of university-educated scientists and engineers (S&Es) into inventors by matching them with archival patent records. I find a strong positive correlation between academic excellence and the likelihood of becoming an inventor as well as invention productivity. These highly skilled individuals significantly contributed to inventions in fields associated with emerging heavy manufacturing industries. I also underscore a strong complementarity between their academic skills and post-graduation job experience, which synergistically facilitated the generation of inventions. In Chapter 2, I delve deeply into the (re-)allocation process of educated plant managers and engineers across establishments within a leading cotton-spinning firm, in conjunction with investment in physical capital. Through detailed analysis of plant-level data on human capital appointments, transfers, and capital investments, I illuminate the endogenous process of internal human capital (re-)allocations in alignment with evolving strategic priorities. Notably, the shift from cost leadership to product differentiation, driven by high-end spinning machines, engendered a three-way complementarity between managerial human capital, engineering human capital, and advanced technologies. In Chapter 3, I examine how S&E university graduates are allocated both externally (moves across different independent firms) and internally (moves across affiliated firms within diversified firms or conglomerates) and their implication for innovation. I demonstrate that internal mobility enhances individual invention performance, whereas external mobility diminishes it. However, these performance differences are primarily attributed to the selection of different quality of human capital. Additional analysis suggests that high-quality human capital tends to enter growing industries through internal mobility and be often placed in managerial positions that grant them to access complementary resources. Overall, my dissertation studies contribute to the literature on strategic human capital, corporate strategy, and economic emergence. I assert that the insights derived from the unique historical context of Japan’s industrialization can not only be applied to current emerging economies but also to new industries in developed countries wherein the supply of specialized talent is scarce and mega firms play a pivotal role in driving innovation.Item TWO ESSAYS ON THE ROLE OF INFORMATION TRANSPARENCY IN MARKETPLACE OPERATIONS(2024) Jiang, Jane Yi; Elmaghraby, Wedad J.; Business and Management: Decision & Information Technologies; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This dissertation encompasses two studies on the crucial role of information within marketplace operations. Collaborating with two platforms, we deliver empirical evidence and offer prescriptive insights into how information is conveyed to and perceived by customers, and the consequent impacts on sellers and the marketplace at large.The first study analyzes the introduction of the novel blockchain tracing technology into an online grocery marketplace. Our findings indicate that credible supply chain transparency encourages consumers to more readily buy traced products, especially those that are handling-sensitive or offered in less-trusted markets. Consequently, adopting third-party sellers experienced an average monthly revenue increase of up to 23.4\%. By utilizing structural estimation to understand how consumers assess product attributes and quality, we highlight that consumer responses (and welfare effects) vary in sophistication and size based on their prior experience with the product category. Additionally, we establish that consumers deem blockchain-based. The second study analyzes the unintended transparency issue associated with the pricing structure of bundle discounts and its consequences on product purchases and returns. Our findings reveal that customers tend to overlook complex pricing structures, leading to impulsive buying and increased returns. Enhancing customer attentiveness of pricing can decrease the Retailer's return rates by 20.9\%. Moreover, improving customer attentiveness to pricing benefits retailers by enabling them to create more versatile bundle offers, further optimizing their sales strategy.Item A Prosocial Contributor or Status Grabber? How and Why Newcomer Proactive Knowledge Sharing with Coworkers Impacts Inclusion Perceptions via Ambivalent Coworker Attributions(2023) Guan, Zhishuang; Liao, Hui HL; Business and Management: Management & Organization; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Newcomers are often referred to as the “new blood” because they represent a source of fresh, unique, task-relevant knowledge that potentially adds value to organizations. In this research, I focus on newcomer proactive knowledge sharing with coworkers and investigate how it impacts the transition of newcomers from outsiders to insiders. Integrating attribution theory and the status characteristics theory, I propose that newcomer proactive knowledge sharing with coworkers triggers coworkers’ ambivalent attributions (i.e., perceiving it to be driven simultaneously by newcomers’ prosocial and status-striving motives). Furthermore, the ambivalent attributions affect the extent to which coworkers provide socialization support and utilize the newcomer’s knowledge, eventually exerting different influences on the newcomer’s inclusion perceptions. The results of a multi-wave (i.e., four waves) and multi-source (i.e., survey data from newcomers and coworkers) longitudinal study based on 336 newcomers in a large technology company support the proposed serial mediating relationships between newcomer proactive knowledge sharing with coworkers and their inclusion perceptions via coworkers’ ambivalent attributions and behavioral reactions. The data also demonstrates that leader encouragement of learning is a viable leader strategy that makes coworkers more likely to interpret newcomer proactive knowledge sharing is driven by prosocial motives. This research has significant implications both theoretically and practically. From a theoretical perspective, it advances our understanding of newcomer socialization, knowledge sharing, and workplace inclusion. From a practical perspective, it helps newcomers better navigate the process of knowledge sharing by illuminating potential social consequences. Practitioners can leverage these insights to create more inclusive onboarding experiences for new employees.Item Essays on Entrepreneurship: The Role of Complexity of Innovation and Efficient Hierarchies(2023) Ding, Yuheng; Braguinsky, Serguey; Agarwal, Rajshree; Business and Management: Management & Organization; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Entrepreneurial activities have been on the decline across a broad range of sectors in the U.S. during the past few decades. This decline (sometimes also called “declining business dynamism”) is reflected in the decreasing rate of new firm entry, the share of young firms (usually defined as those five years of age or less) in the total number of firms and/or the share of employment at young firms in total employment, and so on (e.g., Decker et al. 2014; Akcigit and Ates, 2021). All of the above have exhibited a secular decline, not just in the U.S. but in other advanced economies as well. The underlying causes of these trends, however, are not yet clear with a broad array of explanations suggested in the literature (Akcigit and Ates, 2019; 2021; Decker et al., 2016; Hopenhayn et al., 2018; Karahan et al., 2019; Andrews et al., 2016). There also appears to be a lot of heterogeneity in how strongly the decline in entrepreneurial activities (business dynamism) is pronounced in various industries and sectors of the economy. In particular, the evidence in Haltiwanger et al. (2014) suggests that high-tech industries could be affected more than other sectors of the economy. High-tech sectors have been the driving force of growth in recent decades, so uncovering the reasons for declining business dynamism in those sectors is a task of first-order importance. In the first chapter, I employ the restricted-use data on the science and engineering workforce in the U.S. to investigate whether the increasing burden of knowledge is a growing concern for science-based entrepreneurship. Results show that since 1997, the rate of startup formation has precipitously declined for firms operated by U.S. Ph.D. recipients in science and engineering. The decline in startup formation is accompanied by an earnings decline, increasing work complexity in R&D, and more administrative work for science-based founders. With limited access to efficient knowledge hierarchies, founders of science-based startups must shoulder the burden of knowledge by doing more tasks by themselves. Workers at established firms, on the other hand, could better mitigate the burden of knowledge by narrowing the span of control and increasing the depth of hierarchy. Moreover, less experienced founders were hit harder than more experienced founders as the increasing burden of knowledge led to increasing returns to labor experience. While in the first chapter I use individual-level work data, in the second chapter I utilize firm-level data from the U.S. Census Bureau to develop the analysis further. I adopt the abductive approach and leverage matched employee-employer Census data between 2000-2014 to investigate how a growing burden of knowledge (measured as knowledge interdependence) in the most innovative firms affects potential entrepreneurs’ decisions to start their own business ventures. I show that higher knowledge interdependence in incumbent firms is negatively associated with employee entrepreneurship, and the negative effect is pronounced even stronger among the highest-performing employees. Moreover, higher knowledge interdependence has a positive selection effect on the quality of “spinouts”, and this effect is significantly stronger if the startup is formed by individuals ranked highest in the human capital distribution. These results suggest that knowledge interdependence does not merely raise the barrier for entry into entrepreneurship by imposing higher costs of knowledge transfer. It also changes the functioning of the internal labor market inside the firms. In the third chapter, I further investigate the mechanism underlying the relationship between knowledge interdependence and employee entrepreneurship. I propose a formal theoretical framework that reconciles all empirical findings. The theory suggests firms that rely on higher knowledge interdependence should share “rent” with their employees by paying wage premia if the profit from higher knowledge interdependence is high enough. As a result, within-firm earning dispersion would always be larger in firms relying on higher knowledge interdependence. I find supporting evidence in the data for this alternative explanation. Overall, these findings have important implications for declining entrepreneurial activity, rising income inequality, and technological change in the U.S. economy. While the conventional wisdom might view the declining entrepreneurial activity in the U.S. as the demise of economic growth, it is possible that as innovation becomes more complex, large established firms start to substitute the role of start-ups in pushing forward the technological frontier and driving economic growth as the efficient knowledge hierarchy could better deal with complex knowledge needed in the production process (Garicano, 2000; Garicano and Rossi-Hansberg, 2004). If this is the case, the declining business dynamism might just be a reflection of technological change and efficient (re)allocation of resources but not necessarily detrimental to technological advancement and economic growth. Whether this is true remains an avenue for future research.Item ESSAYS ON MARKET TRANSFORMATION AND ENTREPRENEURIAL STRATEGIES: EVIDENCE FROM THE LITHIUM-ION BATTERY INDUSTRY(2023) ALGHAREEB, ALI; Kirsch, David; Goldfarb, Brent; Business and Management: Management & Organization; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)This dissertation uses an Inference to the Best Explanation approach for two essays on the evolution of the Lithium-ion battery industry (1991—2023). In the first essay, I consider an industry-level perspective and use quantitative and qualitative data to document the emergence and evolution of the Li-ion battery industry. The observations of multiple waves of new firm entry and more than one instance of sales takeoff highlight an empirical puzzle. Thus, I propose a conceptual framework of Market transformation (MT) that is qualitatively related to but distinct from the traditional frameworks of Industry Emergence and Disruption. By comparing the predictions of the Industry Emergence and Disruption approaches with those of the proposed MT framework, I argue that the proposed framework provides a better explanation for the observed evolutionary trajectory of the Li-ion battery industry. In the second essay, I consider the strategic choices of application markets and entrepreneurial strategies from a firm-level perspective to examine how did start-ups choose their entrepreneurial entry strategy when application markets are characterized by different sizes and levels of uncertainty. Assembling a dataset of 151 US-based battery start-ups founded in the Li-ion battery industry, I report on the start-ups’ choices of application markets and entrepreneurial strategies at entry across three distinct periods in the evolution of the Li-ion battery industry. The observation of only 16% of start-ups choosing a specialization-in-generality strategy while 84% of start-ups choosing alternative strategies during a period of increasing uncertainty (2006—2012) highlights an empirical puzzle. Thus, looking across the multi-decade history of the Li-ion battery industry, the uncertainty triggered by the successful commercialization of consumer electric vehicles (i.e., industry demand shock of the Tesla Roadster) spurred start-ups to enter with different strategic bets; it also triggered investors to support those bets. By elaborating and evaluating the list of possible explanations, I infer that the increasing levels of uncertainty associated with each application market generated uncertainty profiles that start-ups selected based on the preferences and beliefs of their entrepreneurs or their investors about the nature of uncertainty, resulting in different strategic bets, as the best explanation.Item ANALYZING BID PRICES QUANTITATIVELY AND PROTEST DECISIONS QUALITATIVELY TO REDUCE PROJECT-RELATED DISPUTES IN ADVANCE(2022) Kim, Young Joo; Skibniewski, Miroslaw J; Civil Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Parties to a construction contract can consume significant resources in dealing with project-related disputes. Therefore, it is advantageous for project stakeholders to identify potential issues earlier to avoid such problems as much as possible. This dissertation research explored evidence-based approaches to reduce project-related disputes before commencing construction projects. The research was carried out by examining a cost dataset from a state Department of Transportation that prioritizes the lowest-priced bid and by investigating a bid protest dataset from a Federal Government office that typically prioritizes the best value. With the coefficient of variation of bids as an independent variable of interest, the cost dataset was quantitatively studied using Welch’s t-test, correlation and regression analyses, and the K-nearest neighbors classification. Then, the Government Accountability Office’s decisions on denied bid protests against the U.S. Army Corps of Engineers were qualitatively meta-summarized. The observations showed the limited usefulness of collective intelligence provided by bidders at the time of bid opening in identifying projects likely to experience more significant project cost changes upon completion, as well as the effectiveness of the thematic findings in limitedly helping small businesses fore-test the validity of their cases before filing bid protests. The results could be applied beyond the Architecture, Engineering, and Construction industries as projects occur in all industries and industry sectors.Item “Just Like the Library”: Exploring the experiences of former library student assistants' post-graduation careers and perceptions of job preparedness as impacted by library work(2022) Ofsthun, Franklin; O'Grady, Ryan; Library & Information Services; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Career success is a major component of assessing student success, and at the Universities at Shady Grove (USG), a small campus supporting nine state universities, post-graduation success is understudied. Students employed by USG’s Priddy Library are subject to a professional development (PD) program that emphasizes skill building, professional experiences, and career competencies. This thesis uses interviews from seven former student employees to determine what students retain from the program a year after graduation, to explore their feelings on early career experiences, and to determine what Priddy Library and USG can do to better prepare students for their post-graduation careers. Job satisfaction was most positively correlated with workplace social support and most negatively correlated with overwork. Participants felt overall positively about their experiences at USG and the library, and emphasized the role that social support played in their success. Participants identified many career competencies developed at the library that they continue to use in their post-graduation careers, most notably, customer service, communication, critical thinking, time management, and professionalism. Participants shared feelings of self-doubt and inadequacy despite degree and skill acquisition, indicating that more effort should be made to build students’ professional confidence.