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TACKLING HURDLES TO DIGITAL TRANSFORMATION — THE ROLE OF COMPETENCIES FOR SUCCESSFUL INDUSTRIAL INTERNET OF THINGS (IIoT) IMPLEMENTATION

Author

Listed:
  • JENS BUTSCHAN

    (Faculty of Human and Business Sciences, Saarland University, Saarbruecken, Germany)

  • SVEN HEIDENREICH

    (Faculty of Human and Business Sciences, Saarland University, Saarbruecken, Germany)

  • BENJAMIN WEBER

    (Digital Transformation Center, Dortmund, Germany)

  • TOBIAS KRAEMER

    (Institute for Management, University of Koblenz-Landau, Koblenz, Germany)

Abstract

Scientific research and innovation management practice have emphasised the important role of individual competencies in meeting the challenges of the digital transformation. However, it still lacks empirical studies that strive to determine how certain competencies of employees might affect the success of the digital transformation itself. In order to empirically determine the individual contribution of specific employee competencies to a successful digital transformation in terms of a high Industrial Internet of Things (IIoT) usage performance, a quantitative study among German component manufacturers of the capital goods industry was conducted. Drawing upon a sample of 284 employees, our results reveal that high developed cognitive and processual competencies of individuals promote the digital transformation processes of a firm. Surprisingly, social competencies have only a little influence. Furthermore, our findings also confirmed that a high IIoT usage performance is beneficial for a firm, significantly enhancing divisional success.

Suggested Citation

  • Jens Butschan & Sven Heidenreich & Benjamin Weber & Tobias Kraemer, 2019. "TACKLING HURDLES TO DIGITAL TRANSFORMATION — THE ROLE OF COMPETENCIES FOR SUCCESSFUL INDUSTRIAL INTERNET OF THINGS (IIoT) IMPLEMENTATION," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(04), pages 1-34, May.
    • Handle: RePEc:wsi:ijimxx:v:23:y:2019:i:04:n:s1363919619500361
    DOI: 10.1142/S1363919619500361
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    Cited by:

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    3. Mariani, Marcello M. & Machado, Isa & Magrelli, Vittoria & Dwivedi, Yogesh K., 2023. "Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions," Technovation, Elsevier, vol. 122(C).
    4. Hana Krchová & Katarína Švejnová Höesová, 2021. "Selected determinants of digital transformation and their influence on the number of women in the ICT sector," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(4), pages 524-535, June.
    5. Blanka, Christine & Krumay, Barbara & Rueckel, David, 2022. "The interplay of digital transformation and employee competency: A design science approach," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    6. Kinkel, Steffen & Baumgartner, Marco & Cherubini, Enrica, 2022. "Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies," Technovation, Elsevier, vol. 110(C).
    7. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    8. Fiona Maria Schweitzer & Matthias Handrich & Sven Heidenreich, 2019. "Digital Transformation In The New Product Development Process: The Role Of It-Enabled Plm Systems For Relational, Structural, And Npd Performance," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(07), pages 1-34, October.

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