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Interagency information sharing: Expected benefits, manageable risks

Author

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  • Sharon S. Dawes

    (Center for Technology in Government, University at Albany, State University of New York, Albany, New York)

Abstract

The sharing of program information among government agencies can help achieve important public benefits: increased productivity; improved policy-making; and integrated public services. Information sharing, however, is often limited by technical, organizational, and political barriers. This study of the attitudes and opinions of state government managers shows that more than 8 in 10 judge information sharing to be moderately to highly beneficial. It also reveals specific concerns about the inherent professional, programmatic, and organizational risks. The study proposes a theoretical model for understanding how policy, practice, and attitudes interact and suggests two policy principles, stewardship and usefulness, to promote the benefits and mitigate the risks of sharing.

Suggested Citation

  • Sharon S. Dawes, 1996. "Interagency information sharing: Expected benefits, manageable risks," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 15(3), pages 377-394.
  • Handle: RePEc:wly:jpamgt:v:15:y:1996:i:3:p:377-394
    DOI: 10.1002/(SICI)1520-6688(199622)15:3<377::AID-PAM3>3.0.CO;2-F
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    Citations

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    Cited by:

    1. Aaquib Islam & Weizi Li & Kevin Johnson & Priam Lauchande, 0. "How far has the integrated care come? Applying an asymmetric lens to inter-organisation trust amongst health and social care organisations," International Entrepreneurship and Management Journal, Springer, vol. 0, pages 1-26.
    2. Chuanshen Qin & Bo Fan, 2016. "Factors that influence information sharing, collaboration, and coordination across administrative agencies at a Chinese university," Information Systems and e-Business Management, Springer, vol. 14(3), pages 637-664, August.
    3. Aaquib Islam & Weizi Li & Kevin Johnson & Priam Lauchande, 2020. "How far has the integrated care come? Applying an asymmetric lens to inter-organisation trust amongst health and social care organisations," International Entrepreneurship and Management Journal, Springer, vol. 16(2), pages 529-554, June.
    4. Hendrik Scholta & Dian Balta & Michael Räckers & Jörg Becker & Helmut Krcmar, 2020. "Standardization of Forms in Governments," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 535-560, December.
    5. Bigdeli, Alinaghi Ziaee & Kamal, Muhammad Mustafa & de Cesare, Sergio, 2013. "Electronic information sharing in local government authorities: Factors influencing the decision-making process," International Journal of Information Management, Elsevier, vol. 33(5), pages 816-830.
    6. Yu Zeng & Quan Zhang & Qi Zhao & Huang Huang, 2023. "Doing more among institutional boundaries: Platform‐enabled government in China," Review of Policy Research, Policy Studies Organization, vol. 40(3), pages 458-478, May.
    7. Panom Gunawong & Wannapa Leerasiri, 2022. "Information Sharing in Solving an Opium Problem: Multiple-Agency Management with Integration of Online and Offline Channels," Sustainability, MDPI, vol. 14(13), pages 1-27, June.
    8. Apanasevic, Tatjana, 2021. "Socio-economic effects and the value of open data: A case from Sweden," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238004, International Telecommunications Society (ITS).
    9. Ailian Zhang & Mengmeng Pan, 2020. "“Smart Process” of Medical Innovation: The Synergism Based on Network and Physical Space," IJERPH, MDPI, vol. 17(11), pages 1-17, May.
    10. Arduini, Davide & Denni, Mario & Lucchese, Matteo & Nurra, Alessandra & Zanfei, Antonello, 2013. "The role of technology, organization and contextual factors in the development of e-Government services: An empirical analysis on Italian Local Public Administrations," Structural Change and Economic Dynamics, Elsevier, vol. 27(C), pages 177-189.
    11. Pamela A. Mischen, 2015. "Collaborative Network Capacity," Public Management Review, Taylor & Francis Journals, vol. 17(3), pages 380-403, March.
    12. Guillermo M. Cejudo & Cynthia L. Michel, 2017. "Addressing fragmented government action: coordination, coherence, and integration," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(4), pages 745-767, December.
    13. Mu, Rui & Haershan, Maidina & Wu, Peiyi, 2022. "What organizational conditions, in combination, drive technology enactment in government-led smart city projects?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    14. Florentina Neamtu & Bogdan Nichifor, 2013. "The Determinants Of E-Government Relational Models Construction: Interaction, Communication, Participation And Collaboration," Studies and Scientific Researches. Economics Edition, "Vasile Alecsandri" University of Bacau, Faculty of Economic Sciences, issue 18.
    15. Thomas L. Spreen & Juan P. Martinez Guzman, 2022. "Information sharing and state revenue forecasting performance," Public Budgeting & Finance, Wiley Blackwell, vol. 42(4), pages 54-73, December.
    16. Rocco Agrifoglio & Concetta Metallo & Primiano Nauta, 2021. "Understanding Knowledge Management in Public Organizations through the Organizational Knowing Perspective: a Systematic Literature Review and Bibliometric Analysis," Public Organization Review, Springer, vol. 21(1), pages 137-156, March.

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