skip to main content
10.1145/3396956.3397864acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesdg-oConference Proceedingsconference-collections
poster

Public Services Redesign and Provision: Government Platform Approach

Published:16 June 2020Publication History

ABSTRACT

Government Digital Platform (GDP) is a new phenomenon in digital governance that transforms digital public services towards better quality and citizens’ demands. In this article we discover and verify key features and peculiarities of platform-based transformation for public services provision. Within Russian context we analyze two projects: digital public services portal www.gosuslugi.ru and vacancy occupation on Russian civil service gossluzhba.ru. To perform the analysis, we explore the projects on the availability of platform features: providing exchange, government dominated, transactional, innovative and lean. We conclude that platform-based approach to digital services provision and design can become appropriate mechanism to improve government information systems.

References

  1. Andrei Hagiu and David Yoffie. 2013. The New Patent Intermediaries: Platforms, Defensive Aggregators, and Super-Aggregators. Journal of Economic Perspectives, 27, 1, 45-66. DOI: 10.1257/jep.27.1.45Google ScholarGoogle ScholarCross RefCross Ref
  2. Marijn Janssen and Elsa Estevez. 2013. Lean government and platform-based governance: Doing more with Less. Government Information Quarterly, 30, 1, S1-S8. DOI: 10.1016/j.giq.2012.11.003Google ScholarGoogle ScholarCross RefCross Ref
  3. Tim O'Reilly. 2009. Government as a platform. In D. Lathrop, & L. Ruma (Eds.), Open government: Collaboration, transparency and participation in practice.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Other conferences
    dg.o '20: The 21st Annual International Conference on Digital Government Research
    June 2020
    389 pages
    ISBN:9781450387910
    DOI:10.1145/3396956

    Copyright © 2020 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 16 June 2020

    Check for updates

    Qualifiers

    • poster
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate150of271submissions,55%
  • Article Metrics

    • Downloads (Last 12 months)16
    • Downloads (Last 6 weeks)2

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format