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Overcoming Barriers to Digital Transformation: Development of a Decision Matrix
BOW, Osnabrück University, Osnabrück, Germany.ORCID iD: 0000-0003-4426-1790
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-3488-708X
BOW, Osnabrück University, Osnabrück, Germany.ORCID iD: 0000-0002-9944-5717
2022 (English)In: Software Business: 13th International Conference, ICSOB 2022, Bolzano, Italy, November 8–11, 2022, Proceedings / [ed] Noel Carroll; Anh Nguyen-Duc; Xiaofeng Wang; Viktoria Stray, 2022, p. 67-82Conference paper, Published paper (Refereed)
Abstract [en]

Digital Transformation (DT) impacts industries, non-profit sectors, higher education, and even societies. As connectivity technologies blend with physical assets, modifications in value creation processes are provoked. These modifications may have positive impacts such as higher effectivity, enhanced business models, and improved customer connection. However, realizing a DT is a complex endeavor. Specific properties, so-called barriers, hinder the DT journey. Thus, it is essential to grasp the barriers and indicate ways to overcome them. We develop a decision matrix for overcoming barriers using qualitative data from participants working in different sectors. This work builds upon a pre-study developing a barrier classification and enhances it with specific recommendations such as “define clear DT responsibilities”. Thus, our work takes the development of plain barrier classifications further. From a theoretical perspective, this work contributes to developing hypothetical models of the effects of recommendations to overcome barriers in the future. From a practical perspective, companies can use the recommendations to plan actions to take.

Place, publisher, year, edition, pages
2022. p. 67-82
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 463
National Category
Economics and Business
Identifiers
URN: urn:nbn:se:mau:diva-66956DOI: 10.1007/978-3-031-20706-8_5Scopus ID: 2-s2.0-85142709198ISBN: 978-3-031-20706-8 (electronic)ISBN: 978-3-031-20705-1 (print)OAI: oai:DiVA.org:mau-66956DiVA, id: diva2:1854656
Conference
13th International Conference, ICSOB 2022, Bolzano, Italy, November 8–11, 2022
Available from: 2024-04-26 Created: 2024-04-26 Last updated: 2024-04-26Bibliographically approved

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Accepted manuscript(577 kB)60 downloads
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Packmohr, Sven

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