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Unpacking Differences in Perceptions of Barriers to Digital Transformation – A Socio-Demographic Analysis
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, 49074, Osnabrück, Germany.ORCID iD: 0000-0002-9944-5717
BOW, Osnabrück University, 49074, Osnabrück, Germany.ORCID iD: 0000-0003-4426-1790
2023 (English)In: Digital Economy. Emerging Technologies and Business Innovation: 8th International Conference, ICDEc 2023, Braga, Portugal, May 2–4, 2023, Proceedings / [ed] Jallouli, R.; Bach Tobji, M.A.; Belkhir, M.; Soares, A.M.; Casais, B., Springer , 2023, p. 33-49Conference paper, Published paper (Refereed)
Abstract [en]

Digital Transformation (DT) is gaining attention in all industries. It also impacted non-profit sectors and higher education. DT evolves when connectivity technologies merge with physical assets, possibly altering value creation processes. These alterations aim to positively impact effectiveness, business models, and customer connection. However, companies face several barriers on their DT journey. It is essential to grasp the properties of these barriers to enable companies to find ways to overcome them. Therefore, we examined existing research on barriers and identified the gap. Using data from interviews and online surveys, our study unpacks the differences in the perception of barriers regarding the categories of company size, responsibility level, and employee age. To generate our results, we used a qualitative content analysis to generate frequencies of 29 barrier characteristics in seven dimensions from 1,436 statements by 525 survey participants. The most prominent barrier dimensions across all categories are Corporate Culture and Structural Mismatch. Together, they account for 35–50% of the total barrier perceptions. Moreover, the barrier characteristic deficient IT infrastructure scores somewhat similarly in all categories, with around 11% on average. Our research contributes to identifying similarities in the different categories and paves the way for higher generalizability.

Place, publisher, year, edition, pages
Springer , 2023. p. 33-49
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348, E-ISSN 1865-1356 ; 485
Keywords [en]
Digital Transformation, Barriers, Company Size, Responsibility Level, Employee Age
National Category
Business Administration
Identifiers
URN: urn:nbn:se:mau:diva-72487DOI: 10.1007/978-3-031-42788-6_3Scopus ID: 2-s2.0-85174437132ISBN: 978-3-031-42787-9 (print)ISBN: 978-3-031-42788-6 (electronic)OAI: oai:DiVA.org:mau-72487DiVA, id: diva2:1917099
Conference
8th International Conference, ICDEc 2023, Braga, Portugal, May 2–4, 2023
Available from: 2023-12-11 Created: 2024-11-29 Last updated: 2024-11-29Bibliographically approved

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Packmohr, Sven

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