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Collaborative data networks for public service: governance, management, and performance

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  • Yu-Che Chen
  • Jooho Lee

Abstract

This study aims to advance the theory and practice of managing collaborative data networks for information and decision-support services that exist in over 400 US metropolitan areas. Integrating insights from collaborative governance, network management, and cross-boundary information sharing, this study develops a framework to outline the interplay between context, management, collaborative dynamics, technology, and performance. This study further utilizes the framework to conduct an exploratory in-depth case study of a metropolitan transportation data network to examine such interplay. The findings suggest ways to improve the performance of collaborative data networks and their implications are discussed.

Suggested Citation

  • Yu-Che Chen & Jooho Lee, 2018. "Collaborative data networks for public service: governance, management, and performance," Public Management Review, Taylor & Francis Journals, vol. 20(5), pages 672-690, May.
  • Handle: RePEc:taf:rpxmxx:v:20:y:2018:i:5:p:672-690
    DOI: 10.1080/14719037.2017.1305691
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    Cited by:

    1. Marius Langseth & Helene Tronstad Moe, 2022. "Driving through dense fog: a study of the effects and control of sustainable public procurement of electric cars," Environment Systems and Decisions, Springer, vol. 42(4), pages 572-585, December.
    2. Jiang, Guoyin & Yang, Wanqiang, 2023. "Signal effect of government regulations on ride-hailing drivers’ intention to mobile-based transportation platform governance: Evidence from China," Transport Policy, Elsevier, vol. 139(C), pages 63-78.
    3. Claire Jean-Quartier & Miguel Rey Mazón & Mario Lovrić & Sarah Stryeck, 2022. "Collaborative Data Use between Private and Public Stakeholders—A Regional Case Study," Data, MDPI, vol. 7(2), pages 1-14, January.
    4. Kusumastuti, Ratih Dyah & Nurmala, N. & Rouli, Juliana & Herdiansyah, Herdis, 2022. "Analyzing the factors that influence the seeking and sharing of information on the smart city digital platform: Empirical evidence from Indonesia," Technology in Society, Elsevier, vol. 68(C).

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