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Comparing the openness of archetypical business-to-government information sharing architectures: balancing advantages of openness with the control of risks

Published: 30 May 2018 Publication History

Abstract

Business-to-government (B2G) information sharing can benefit government organisations, as well as businesses. Yet, businesses are often reluctant to share, as data sharing might not just provide benefits but also entails risks. Therefore, a system supporting B2G information sharing should provide the appropriate level of openness, such that the advantages of openness and possibilities to control risks for businesses are balanced. At the same time, the information obtained by the government should be useful. We identified three architectural layers at which B2G information sharing architectures can have different levels of openness, viz. the Software Layer, the Access Control Layer and the Data Layer. In this work, we compare three archetypical configurations of architectures for B2G information sharing with different levels of openness. Our aim is to provide insight into their impact on the possibilities for obtaining advantages from information sharing and managing risks of opening up data. We found that the relationship between the different levels of openness and the advantages and risks of information sharing is highly complex. We discuss this complexity and find that different levels of openness are appropriate in different situations.

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Cited By

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  • (2024)Preparing Public Agencies for Harnessing AI: A Study on Variables Shaping Multi Actor Information InfrastructuresElectronic Government10.1007/978-3-031-70274-7_16(254-269)Online publication date: 3-Sep-2024

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dg.o '18: Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age
May 2018
889 pages
ISBN:9781450365260
DOI:10.1145/3209281
Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Publication History

Published: 30 May 2018

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Author Tags

  1. architecture design
  2. business-to-government information sharing
  3. open information sharing
  4. open source
  5. supply chain

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dg.o '18

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Overall Acceptance Rate 150 of 271 submissions, 55%

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View all
  • (2024)Preparing Public Agencies for Harnessing AI: A Study on Variables Shaping Multi Actor Information InfrastructuresElectronic Government10.1007/978-3-031-70274-7_16(254-269)Online publication date: 3-Sep-2024

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