R
Roger B. Parks
Researcher at Indiana University
Publications - 40
Citations - 3610
Roger B. Parks is an academic researcher from Indiana University. The author has contributed to research in topics: Metropolitan area & Community policing. The author has an hindex of 27, co-authored 40 publications receiving 3354 citations. Previous affiliations of Roger B. Parks include University of North Carolina at Chapel Hill.
Papers
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Journal ArticleDOI
Experience, quality of life, and neighborhood context: A hierarchical analysis of satisfaction with police
Michael D. Reisig,Roger B. Parks +1 more
TL;DR: In this paper, three different conceptual models (experience with police, quality of life, and neighborhood context) were tested for directional accuracy and ability to explain satisfaction with the police.
Journal ArticleDOI
Consumers as coproducers of public services: some economic and institutional considerations
Roger B. Parks,Paula C. Baker,Larry Kiser,Ronald J. Oakerson,Elinor Ostrom,Vincent Ostrom,Stephen L. Percy,Martha B. Vandivort,Gordon P. Whitaker,Rick K. Wilson +9 more
TL;DR: In this paper, the concept of coproduction of public services has captured increased attention as a potential means of increasing the effectiveness and efficiency of local government, and the concept has been explored in an effort to sharpen the definition of that concept and add rigor to our understanding of the effects of COProduction in local service delivery and processes by which coproductive activity occurs.
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Examining Police Effectiveness as a Precursor to Legitimacy and Cooperation with Police
TL;DR: In this paper, the authors support a normative process model to account for variation in the public's cooperation with police in the USA and other developed countries, as well as other studies.
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To Acquiesce or Rebel: Predicting Citizen Compliance with Police Requests
TL;DR: This article explored a variety of predictors of citizens' compliance with police requests to cease misbehavior and found that legitimacy factors influence compliance, however, the model's overall explanatory power is weaker than expected.