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Roadmapping in the Digital Transformation Literature

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Software Business (ICSOB 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 463))

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Abstract

Digital transformation is vital for organizations in all sectors, as it changes value creation, customer relationships, and internal processes. A key concern in digital transformations is creating and executing an effective strategy that reimagines the organization. However, structured approaches for reimagination in a digital transformation are still missing. This paper contributes to this concern by reviewing how roadmapping is used in the digital transformation literature. Roadmapping is a flexible technique to support the strategic formulation of short- and long-range changes to software, business, organizational and structural aspects. Reviewing 28 papers on digital transformation, we uncovered five types of roadmapping for reimagining organizations: Product-Technology, Strategy, Business, Data, and Design. For these five types, we unfold the landscape of obstacles, opportunities, and context for different pathways to successfully reimagining organizations in digital transformations.

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Authors and Affiliations

  1. Department of Computer Science, Aalborg University, Selma LagerlöfsVej 300, 9220, Aalborg, Denmark

    Ashna Mahmood Zada, John Stouby Persson & Peter Axel Nielsen

Authors
  1. Ashna Mahmood Zada
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  2. John Stouby Persson
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  3. Peter Axel Nielsen
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Correspondence to Ashna Mahmood Zada .

Editor information

Editors and Affiliations

  1. University of Galway, Galway, Ireland

    Noel Carroll

  2. University of South-Eastern Norway, Bø, Norway

    Anh Nguyen-Duc

  3. Free University of Bozen-Bolzano, Bolzano, Italy

    Xiaofeng Wang

  4. University of Oslo, Oslo, Norway

    Viktoria Stray

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Zada, A.M., Persson, J.S., Nielsen, P.A. (2022). Roadmapping in the Digital Transformation Literature. In: Carroll, N., Nguyen-Duc, A., Wang, X., Stray, V. (eds) Software Business. ICSOB 2022. Lecture Notes in Business Information Processing, vol 463. Springer, Cham. https://doi.org/10.1007/978-3-031-20706-8_3

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  • DOI: https://doi.org/10.1007/978-3-031-20706-8_3

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