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Understanding Challenges of Applying Enterprise Architecture in Public Sectors: A Technology Acceptance Perspective
School of Business, Anhui University, Hefei, P.R. China; Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway.
Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway.
Örebro University, Örebro University School of Business.ORCID iD: 0000-0002-3722-6797
2019 (English)In: IEEE International Enterprise Distributed Object Computing Workshop: Proceedings, IEEE , 2019, p. 38-43Conference paper, Published paper (Refereed)
Abstract [en]

Enterprise Architecture (EA) as a popular approach, has been used in city governments and public sectors to improve consistency among their business goals and ICT implementations. Despite theoretical benefits that have been widely agreed on, challenges have also been met in practice reflecting on issues about techniques, businesses, organizations, processes, and etc. It is not easy to understand the challenges from different perspectives and come up with an integrated solution. In this research, we reviewed nine scientific papers in which projects of applying EA in governments or public sectors in real scenario have been presented. We collected challenges reported in these projects and proposed to observe them by using Technology Acceptance Model (TAM) as a lens. Through this technology acceptance perspective, more than seventy challenges can be understood and organized in a consistent way. The results are expected to bring some in-depth insights and to help practitioners to apply EA in public sectors.

Place, publisher, year, edition, pages
IEEE , 2019. p. 38-43
Series
IEEE International Enterprise Distributed Object Computing Conference Workshops-EDOCW, ISSN 2325-6583
Keywords [en]
Enterprise Architecture, government, public sector, technology acceptance model (TAM)
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-81093DOI: 10.1109/EDOCW.2019.00020ISI: 000520469200006Scopus ID: 2-s2.0-85076008038ISBN: 978-1-7281-4598-3 (print)OAI: oai:DiVA.org:oru-81093DiVA, id: diva2:1422309
Conference
23rd IEEE International Enterprise Distributed Object Computing Workshop (EDOCW 2019), Paris, France, October 28-31, 2019
Note

Funding Agency:

European Research Consortium for Informatics and Mathematics. (ERCIM)

Available from: 2020-04-07 Created: 2020-04-07 Last updated: 2020-04-07Bibliographically approved

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Gao, Shang

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Output format
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