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Leveraging Enterprise Architecture Artifacts for Digital Transformation: Some Preliminary Findings
Anhi University, Hefei, People’s Republic of China.
Örebro University, Örebro University School of Business.ORCID iD: 0000-0002-3722-6797
2023 (English)In: New Sustainable Horizons in Artificial Intelligence and Digital Solutions: 22nd IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2023, Curitiba, Brazil, November 9–11, 2023, Proceedings / [ed] Marijn Janssen; Luiz Pinheiro; Ricardo Matheus; Fernanda Frankenberger; Yogesh K. Dwivedi; Ilias O. Pappas; Matti Mäntymäki, Springer, 2023, p. 294-307Conference paper, Published paper (Refereed)
Abstract [en]

The global wave of Digital Transformation (DT) requires a large number of organizations to effectively respond to relevant challenges, plan and manage changes by aligning organizational elements. Enterprise Architecture (EA), which has a history of about 50 years, is considered to be a good alignment approach. But its application is mainly limited to developed countries and large enterprises, partly due to its high threshold. To benefit more organizations that are not yet familiar with EA, this study suggests EA beginners to firstly attempt to benefit from EA Artifacts (EAAs) without knowing/using EA Frameworks (EAFs). We conducted a survey with students in a Chinese university who participated in an EA course to verify the significance and feasibility of this proposal. The results showed that EA beginners recognized the value of EAAs and were willing to learn relevant knowledge and skills such as modeling languages and tools. It was also found that EAFs brought considerable complexity and its necessity was not directly perceived by participants. It should be noted that for EA beginners, even if they only attempt to benefit from EAAs, certain knowledge and practical skills are required. Some practical tips such as providing coaching style support are suggested accordingly.

Place, publisher, year, edition, pages
Springer, 2023. p. 294-307
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 14316
Keywords [en]
Digital Transformation, DT, EA, EA artifacts, EA frameworks, Enterprise Architecture
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:oru:diva-110997DOI: 10.1007/978-3-031-50040-4_22Scopus ID: 2-s2.0-85180555315ISBN: 9783031500398 (print)ISBN: 9783031500404 (electronic)OAI: oai:DiVA.org:oru-110997DiVA, id: diva2:1831056
Conference
22nd IFIP WG 6.11 Conference on e-Business, e-Services and e-Society (I3E 2023), Curitiba, Brazil, November 9–11, 2023
Available from: 2024-01-24 Created: 2024-01-24 Last updated: 2024-01-29Bibliographically approved

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Gao, Shang

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