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Digital Transformation of SMEs: capturing complexity
Linnaeus University, School of Business and Economics, Department of Organisation and Entrepreneurship. (Business Informatics)ORCID iD: 0000-0003-1045-7058
Linnaeus University, School of Business and Economics, Department of Organisation and Entrepreneurship. (Business Informatics)
2019 (English)In: 32nd Bled eConference Humanizing Technology for a Sustainable Society: June 16 – 19, 2019, Bled, Slovenia: Conference Proceedings / [ed] Andreja Pucihar, Mirjana Kljajič Borštnar, Roger Bons, Juergen Seitz, Helen Cripps & Doroteja Vidmar, University of Maribor Press , 2019, p. 523-541Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of this paper is to study the ongoing digitalisationof SMEs in order to gain a richer understanding of the complexity of digital transformation. Six Swedish SMEs have been studied using a basic qualitative research approach. Main results of the study are the identification of internal as well as external drivers of value creation, categories of digital transformation actions and the presence of a strategic tension that SMEs had to manage in order to conduct their digital transformation. One conclusion is a proposed framework which supports a rich understanding of SMEs digital transformation.

Place, publisher, year, edition, pages
University of Maribor Press , 2019. p. 523-541
Keywords [en]
Digitalisation, Digital Transformation, Small and medium-sized enterprises (SME), Digital Competitiveness
National Category
Information Systems
Research subject
Economy, Business Informatics
Identifiers
URN: urn:nbn:se:lnu:diva-86639DOI: 10.18690/978-961-286-280-0ISBN: 9789612862800 (print)OAI: oai:DiVA.org:lnu-86639DiVA, id: diva2:1337185
Conference
32nd Bled eConference: Humanizing Technology for a Sustainable Society, Bled, Slovenia, June 16-19, 2019
Available from: 2019-07-11 Created: 2019-07-11 Last updated: 2019-09-25Bibliographically approved

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Jeansson, JohnBredmar, Krister

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CiteExportLink to record
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Citation style
  • apa
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  • nn-NB
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Output format
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