The roles of American Universities/colleges assets, knowledge and partnerships with local governments during disasters and emergencies become more important but have not been emphasized sufficiently in the scholarship community. Universities/colleges have provided disaster services in partnership with local government through different ways: providing facilities and logistical support (e.g., disaster sheltering), critical knowledge support (e.g., disaster information forecasting), and human resources and special expertise support (e.g., university hospitals and voluntary work of nursing and medical students/faculty). Through 34 interviews with emergency managers from both universities/colleges and local governments, and a national survey of 362 university emergency managers, this dissertation finds that: First, previously established partnerships between universities/colleges and local governments can reduce coordination costs when disasters happen and can facilitate new partnerships on disaster preparedness. Second, local government capacity gap in responding to disaster needs is a critical precondition for universities/colleges to participate in the disaster service co-provision, which is not specified or examined by other co-production, co-creation, or co-management theories. Third, internal coordination efforts within universities/colleges can facilitate external coordination activities with local governments to guarantee efficient disaster service provision. Fourth, a disaster resilience culture needs to be facilitated within universities/colleges to develop a robust disaster response plan. Furthermore, first response providers’ health and wellbeing should get more attention from universities and local governments to maintain a sustainable and healthy workforce as well as efficient disaster response.

An important national policy motivation for the public support of academicscientific research is the economic benefits gathered from the development of new innovations and technological progress. As academic scientists are the primary recipient of federal funding and produce key new knowledge, it is important to understand how they make decisions about their research activities and involvement with industry and how these decisions impact knowledge creation and diffusion. Knowledge flows, the dispersion of ideas between individuals or groups, contribute economic benefits by generating new innovations and technological processes and connections between scientists from different fields and industries. I have three questions on this topic that are addressed in my five-chapter dissertation: 1. How do the academic-industry patenting collaborations influence knowledge flows as measured by patent citations? 2. How do patent network structure and composition impact patent citations? 3. How do institutional logics influence academic scientists’ decisions to undertake research topics, collaboration partners and other activities to produce patents? Essay one investigates characteristics of academic-industry collaborations that influence patent citation counts using a 2010 National Survey on Intellectual Property in Academic Science and Engineering matched with 2019 citation data. Essay two expands on the first essay by looking at how network collaborations span the public and private sectors, to see how the combination of the two sectors matters for knowledge flows. The study uses the same survey data merged with patent citation and new network information data. Essay three utilizes institutional logics as a theoretical lens to look at how academic scientists make decisions about their research activities. I interview early career scientists and tenured scientists across three Arizona universities to learn more about how institutional logics present and interact in academic science. Taken together, the findings expand previous research on academic-industry interactions by highlighting the fundamental collaboration and network characteristics that improve citation counts, my metric for understanding knowledge flows. Additionally, my dissertation dives deeper into academic scientists’ research and collaboration decisions using an institutional logics perspective to better understand which decision parameters matter the most for maximizing knowledge flows.

Management of emergency or crisis events relies on the collaborative efforts of a wide range of organizations. How to coordinate their efforts becomes a pressing challenge for public administration. This three-essay dissertation informs our understanding of public agencies’ inter-organizational coordination in preparation for and response to emergencies and disasters. The first essay provides an overview of emergency coordination research by systematically reviewing the fragmented inter-disciplinary literature on the topic for the past two decades. Through the analyses of 64 articles, the essay maps major theoretical traditions of emergency coordination research and identifies the need for further theoretical explorations. The syntheses of findings from the literature provide empirical strategies for improving response coordination effectiveness. The review reveals that current research predominantly focuses on response coordination with little understanding of coordination at other emergency management phases. Building upon the first essay, the second essay examines coordination in the preparedness phase. By introducing the configurational approach to emergency management research, the study explores which configurations of organizational attributes – and environmental characteristics – lead to active emergency preparedness coordination. A configurational model for preparedness coordination is proposed along with three propositions. The study conducts a large-N fuzzy-set qualitative comparative analysis (QCA) to analyze U.S. public transit agencies’ inter-organizational coordination in preparation for extreme weather events. Findings demonstrate the value of configurational thinking and suggest the importance of managerial commitment. The third essay extends the current inquiry on response coordination by reorienting the focus to the role of human agency. Drawing from institutional logic theory, the study identifies the systems of cultural elements (i.e., institutional logic) that affect inter-organizational response coordination actions. Influential managerial practices are also specified. The empirical context of this study is the local government's response to the Covid-19 pandemic in Arizona. Findings demonstrate that coordination actions are under the influence of professional and community logics. Empirical evidence also corroborates the importance of management practices for coordination. Taken together, the dissertation contributes to emergency management research by engaging novel theoretical perspectives and diverse methodological approaches. It provides actionable strategies for public managers to improve coordination effectiveness.

I study the technology transfer process at universities and federal laboratories, based on 49 interviews of postdoctoral scientists and their supervisors (principal investigators or PIs) at two large U.S. research universities and four major National Institute of Health and Department of Energy federal laboratories. This dissertation is unique in three respects. First, with rare exceptions, most studies of technology transfer have focused on tenure track faculty at universities. Second, there have been few recent studies of technology transfer at federal laboratories. Third, most studies of technology transfer have ignored “micro” topics as identity, championing, and leadership. This dissertation fills those voids. Specifically, in this thesis, I focus on boundary work conducted by postdoctoral scientists and micro-institutional work of their Principal Investigators as change agents, in consideration of different institutional constraints of universities and federal laboratories which can affect the entrepreneurial activities of scientists. Having universities and federal laboratories as study contexts, I demonstrate 1) how institutions constrain yet enable individual agency; 2) how individuals engage in a new role that can potentially create conflict with their central identity; and 3) the role of the institutional change agents, or institutional entrepreneurs, who can lead to changes in the attitudes and perceptions of their subordinates, in the face of tensions derived from conflicting yet coexisting norms.

Theories related to social identity provide insight on how gender may be meaningful in organizations. This dissertation examines how psychosocial outcomes for science, technology, engineering, and mathematics (STEM) faculty are influenced by the proportion of women in productivity, support, and advice networks in gendered academic institutions. Psychosocial outcomes are defined as the psychological and social perspectives of the organizational environment. Gendered aspects in organizations are of theoretical importance because they provide opportunities to investigate how STEM faculty attain psychosocial outcomes. An underlying argument in gender literature is that women, compared to men, are more likely to provide emotional support. As women’s presence in STEM departments increases, STEM faculty are likely to rely on women to provide emotional support which may influence psychosocial outcomes of the work environment.

Universities are considered to be gendered organizational environments, where masculine and feminine characteristics are evident within their processes, practices, images, and through distribution of power. Universities are broadly categorized as two types: research focused and teaching focused universities. Both university types are deeply involved with the education of students but promotional standards for faculty members and the primary focus of these universities is dictated by the categorization of research versus teaching. University structuring is gendered, making them an ideal setting to investigate questions related to identity and psychosocial outcomes. Drawing from gendered theory, social identity theory, social network theory, and social capital theory, I ask the following research question: Does the proportion of women in informal networks influence psychosocial outcomes within gendered university settings?

To examine how psychosocial outcomes are influenced by informal networks, I use survey data from a 2011 National Science Foundation funded national survey of STEM faculty across universities in the United States (U.S.). I find that psychosocial outcomes vary by university type, faculty gender, and a high proportion of women in three types of academic informal networks. I conclude with a discussion about what the results mean for practice and future research.

This dissertation consists of three essays, each examining distinct aspects about public organization adaptation to extreme events using evidence from public transit agencies under the influence of extreme weather in the United States (U.S.). The first essay focuses on predicting organizational adaptive behavior. Building on extant theories on adaptation and organizational learning, it develops a theoretical framework to uncover the pathways through which extreme events impact public organizations and identify the key learning mechanisms involved in adaptation. Using a structural equation model on data from a 2016 national survey, the study highlights the critical role of risk perception to translate signals from the external environment to organizational adaptive behavior.

The second essay expands on the first one to incorporate the organizational environment and model the adaptive system. Combining an agent-based model and qualitative interviews with key decision makers, the study investigates how adaptation occurs over time in multiplex contexts consisting of the natural hazards, organizations, institutions and social networks. The study ends with a series of refined propositions about the mechanisms involved in public organization adaptation. Specifically, the analysis suggests that risk perception needs to be examined relative to risk tolerance to determine organizational motivation to adapt, and underscore the criticality of coupling between the motivation and opportunities to enable adaptation. The results further show that the coupling can be enhanced through lowering organizational risk perception decay or synchronizing opportunities with extreme event occurrences to promote adaptation.

The third essay shifts the gaze from adaptation mechanisms to organizational outcomes. It uses a stochastic frontier analysis to quantify the impacts of extreme events on public organization performance and, importantly, the role of organizational adaptive capacity in moderating the impacts. The findings confirm that extreme events negatively affect organizational performance and that organizations with higher adaptive capacity are more able to mitigate those effects, thereby lending support to research efforts in the first two essays dedicated to identifying preconditions and mechanisms involved in the adaptation process. Taken together, this dissertation comprehensively advances understanding about public organization adaptation to extreme events.

This research examines data exchange between city departments and external stakeholders; particularly, why city departments have different capacity to access data from departments in the same city, other public agencies, private and nonprofit organizations. Data access is of theoretical interest because it provides the opportunity to investigate how public organizations and public managers deal with a portfolio of relationships in a loosely structured context characterized by dynamics of power and influence. Moreover, enhancing data access is important for public managers to increase the amount and diversity of information available to design, implement, and support public services and policies.

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.

The amount of time and effort that university researchers spend writing grants and executing grant administration responsibilities is one of the biggest challenges for science policy. This study aims to explore the complexity of the phenomenon of burdens in the administrative procedure for principal investigators (PIs) in sponsored research. The findings make a theoretical contribution to the study of burdens and red tape by closely examining the processes in which the burdens emerge, increase, and decrease; in doing so, this research will lay the groundwork for future studies of burdens and sponsored research systems. This study assumes that burdens are embedded in the social process, not merely in the number of required documentation or time spent on the procedure. The two overarching research questions are as follows: (1) What do researchers perceive or experience as a burden in grant proposal preparation and submission in sponsored research? (2) What are the possible factors or hypotheses to explain the generation, increase, and decrease of burdens? This single case study of a large research university examines the burdens faced by university researchers as they prepare and submit grant proposals. Primary data comes from semi-structured interviews with thirty-one PIs in science and engineering schools, and four interviews with research administration staff. Based on the interview data and theoretical arguments, this study illustrates the burdens in two categories: Burdens related to the proposal system, rules, and requirements; and burdens PIs experience with pre-award staff and relations. In addition, this study assesses each PI’s burden level in terms of the number of tasks in the proposal process, and the quality of the pre-award staff and services the PI experiences. This study further examines possible contributing factors and tentative hypotheses of burdens. In the discussion, this study develops theoretical arguments about the nature and consequences of burdens and fundamental issues in the grant system, and discuss prescriptions for PIs, universities, and sponsored research systems.

The three essays in this dissertation each examine how aspects of contemporary administrative structure within American research universities affect faculty outcomes. Specific aspects of administrative structure tested in this dissertation include the introduction of new administrative roles, administrative intensity (i.e. relative size of university administration), and competing roles between faculty, administrators, and staff. Using quantitative statistical methods these aspects of administrative structure are tested for their effects on academic grant productivity, faculty job stress, and faculty job satisfaction. Administrative datasets and large scale national surveys make up the data for these studies and quantitative statistical methods confirm most of the hypothesized relationships.

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.