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- All Subjects: Organization Theory
- Creators: Welch, Eric
Description
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.
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.
ContributorsFusi, Federica (Author) / Feeney, Mary K. (Thesis advisor) / Welch, Eric (Committee member) / Mossberger, Karen (Committee member) / Grimmelikhuijsen, Stephan (Committee member) / Arizona State University (Publisher)
Created2018
Description
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.
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.
ContributorsZhang, Fengxiu (Author) / Welch, Eric (Thesis advisor) / Barton, Michael (Committee member) / Bretschneider, Stuart (Committee member) / Feeney, Mary K. (Committee member) / Maroulis, Spiro (Committee member) / Arizona State University (Publisher)
Created2020