Assessment of Factors influencing information sharing arrangements using the best-worst method

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

8 Citations (Scopus)

Abstract

Governments and companies exchange various kinds of data. The methods to exchange data are evolving and becoming more and more advanced, supported by the rapid development of information and communication technology (ICT). Although some research has been carried out on the adoption of ICT-based information sharing, there is still very little understanding of enablers for information sharing arrangements between private and public organisations. Developing an information sharing arrangement often requires complex interactions among parties resulting in negotiated arrangements. This paper aims to derive factors of information sharing arrangements by assessing the importance of factors in shaping information sharing from public and private organisations perspectives. Factors found in previous studies were analysed using the Best-Worst method by collecting experts’ opinions. While private sector’s expert was much focussed on the Perceived Benefits, the public sector’s experts considered Trust, Investment, Perceived Costs and Relationship as the most important factors in shaping the information sharing arrangement between public and private organisations. Identifying which factors are crucial in shaping information sharing arrangements can help in reducing potential conflicts during planning, implementation and usage, and bringing benefits to all stakeholders.

Original languageEnglish
Title of host publicationDigital Nations – Smart Cities, Innovation, and Sustainability - 16th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2017, Proceedings
PublisherSpringer
Pages94-106
Number of pages13
Volume10595 LNCS
ISBN (Print)9783319685564
DOIs
Publication statusPublished - 2017
Event16th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2017 - Delhi, India
Duration: 21 Nov 201723 Nov 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10595 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference16th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2017
CountryIndia
CityDelhi
Period21/11/1723/11/17

Keywords

  • Best worst method
  • Big data
  • E-Government
  • Information sharing
  • Information sharing arrangement
  • Interorganisational information system (IOS)
  • Open data
  • System architecture
  • System governance

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