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Digitalization Canvas - Towards Identifying Digitalization Use Cases and Projects
Karlsruhe Univ Appl Sci, Germany.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Softwerk AB, Växjö.ORCID iD: 0000-0002-7565-3714
Södra Skog, Växjö.
Södra Skog, Växjö.
2017 (English)In: Journal of universal computer science (Online), ISSN 0948-695X, E-ISSN 0948-6968, Vol. 23, no 11, p. 1070-1097Article in journal (Refereed) Published
Abstract [en]

Nowadays, many companies are running digitalization initiatives or are planning to do so. There exist various models to evaluate the digitalization potential of a company and to define the maturity level of a company in exploiting digitalization technologies summarized under buzzwords such as Big Data, Artificial Intelligence (AI), Deep Learning, and the Industrial Internet of Things (IIoT). While platforms, protocols, patterns, technical implementations, and standards are in place to adopt these technologies, small-to mediumsized enterprises (SME) still struggle with digitalization. This is because it is hard to identify the most beneficial projects with manageable cost, limited resources and restricted know-how. In the present paper, we describe a real-life project where digitalization use cases have been identified, evaluated, and prioritized with respect to benefits and costs. This effort led to a portfolio of projects, some with quick and easy wins and some others with mid-to long-term benefits. From our experiences, we extracted a general approach that could be useful for other SMEs to identify concrete digitalization activities and to define projects implementing their digital transformation. The results are summarized in a Digitalization Canvas.

Place, publisher, year, edition, pages
2017. Vol. 23, no 11, p. 1070-1097
Keyword [en]
Digitalization, Business Process Management, Big Data, Machine Learning
National Category
Computer and Information Sciences
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-73135ISI: 000429070900006OAI: oai:DiVA.org:lnu-73135DiVA, id: diva2:1199471
Available from: 2018-04-20 Created: 2018-04-20 Last updated: 2018-04-20Bibliographically approved

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Löwe, Welf

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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