IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v173y2021ics0040162521005138.html

How Artificial Intelligence affords digital innovation: A cross-case analysis of Scandinavian companies

Author

Listed:
  • Trocin, Cristina
  • Hovland, Ingrid Våge
  • Mikalef, Patrick
  • Dremel, Christian

Abstract

Artificial Intelligence (AI) is fuelling a new breed of digital innovation in Human Resource Management (HRM) by creating new opportunities for complying with General Data Protection Regulation (GDPR) during data collection and analysis, decreasing biases, and offering targeted recommendations. However, AI is also posing challenges to organisations and key assumptions about digital innovation processes and outcomes, making it unclear how to combine AI affordances with actors, goals, and tasks. We conducted a qualitative multiple-case study in Scandinavian organisations offering HR services. Grounded theory guided our data collection and analysis. Input-Process-Output framework and affordance theory supported the analysis of specific information processing constraints and enablers. We developed a framework to explain how AI affordances enable digital innovation and address the calls about definitional boundaries between innovation processes and outcomes. We showed how AI affordances are actualised and how this leads to reontologising decision-making and providing data driven legitimisation. Our study contributes to digital innovation research by elucidating AI affordances and their actualisation in organisations. We conclude with the implications to theory and practice, limitations, and suggestions for future research.

Suggested Citation

  • Trocin, Cristina & Hovland, Ingrid Våge & Mikalef, Patrick & Dremel, Christian, 2021. "How Artificial Intelligence affords digital innovation: A cross-case analysis of Scandinavian companies," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    • Handle: RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521005138
    DOI: 10.1016/j.techfore.2021.121081
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162521005138
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2021.121081?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Arun Rai, 2020. "Explainable AI: from black box to glass box," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 137-141, January.
    2. Haefner, Naomi & Wincent, Joakim & Parida, Vinit & Gassmann, Oliver, 2021. "Artificial intelligence and innovation management: A review, framework, and research agenda✰," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    3. Youngjin Yoo & Richard J. Boland & Kalle Lyytinen & Ann Majchrzak, 2012. "Organizing for Innovation in the Digitized World," Organization Science, INFORMS, vol. 23(5), pages 1398-1408, October.
    4. Kahn, Kenneth B., 2018. "Understanding innovation," Business Horizons, Elsevier, vol. 61(3), pages 453-460.
    5. Andrew Burton-Jones & Olga Volkoff, 2017. "How Can We Develop Contextualized Theories of Effective Use? A Demonstration in the Context of Community-Care Electronic Health Records," Information Systems Research, INFORMS, vol. 28(3), pages 468-489, September.
    6. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    7. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    8. Ulrich Leicht-Deobald & Thorsten Busch & Christoph Schank & Antoinette Weibel & Simon Schafheitle & Isabelle Wildhaber & Gabriel Kasper, 2019. "The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity," Journal of Business Ethics, Springer, vol. 160(2), pages 377-392, December.
    9. Bo Cowgill, 2019. "Bias and Productivity in Humans and Machines," Upjohn Working Papers 19-309, W.E. Upjohn Institute for Employment Research.
    10. Nambisan, Satish & Wright, Mike & Feldman, Maryann, 2019. "The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    11. Youngjin Yoo & Ola Henfridsson & Kalle Lyytinen, 2010. "Research Commentary ---The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research," Information Systems Research, INFORMS, vol. 21(4), pages 724-735, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jovanovic, Marin & Sjödin, David & Parida, Vinit, 2022. "Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms," Technovation, Elsevier, vol. 118(C).
    2. Liang, Lin & Sun, Ruxue, 2026. "Does artificial intelligence facilitate the balancing of short-term returns and long-term growth in firms? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 223(C).
    3. Muhammad Farooq Islam & Ozge Can, 2024. "Integrating digital and sustainable entrepreneurship through business models: a bibliometric analysis," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 14(1), pages 1-18, December.
    4. Kroh, Julia & Globocnik, Dietfried & Schultz, Carsten & Holdhof, Frederike & Salomo, Søren, 2024. "Micro-foundations of digital innovation capability – A mixed method approach to develop and validate a multi-dimensional measurement instrument," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    5. Sabrina Hoessler & Claus-Christian Carbon, 2024. "Digital transformation in incumbent companies: a qualitative study on exploration and exploitation activities in innovation," Journal of Innovation and Entrepreneurship, Springer, vol. 13(1), pages 1-31, December.
    6. Zaheer, Hasnain & Breyer, Yvonne & Dumay, John & Enjeti, Mahesh, 2022. "The entrepreneurial journeys of digital start-up founders," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    7. Zahra, Shaker A. & Liu, Wan & Si, Steven, 2023. "How digital technology promotes entrepreneurship in ecosystems," Technovation, Elsevier, vol. 119(C).
    8. Santos, Susana C. & Liguori, Eric W. & Garvey, Erin, 2023. "How digitalization reinvented entrepreneurial resilience during COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    9. Zhou, Yong & Yang, Qijin & Lu, Shuo, 2023. "Research on the identification and formation mechanism of the main path of digital technology diffusion: Empirical evidence from China," Technology in Society, Elsevier, vol. 75(C).
    10. Cheng, Cong & Wang, Limin, 2022. "How companies configure digital innovation attributes for business model innovation? A configurational view," Technovation, Elsevier, vol. 112(C).
    11. Julian Lehmann & Jan Recker, 2022. "Offerings That are “Ever-in-the-Making”," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(1), pages 69-89, February.
    12. Ma, Dechao & Wu, Weiwei, 2024. "Does artificial intelligence drive technology convergence? Evidence from Chinese manufacturing companies," Technology in Society, Elsevier, vol. 79(C).
    13. Xu, Chang & Hu, Jianguang & Li, Lu, 2025. "Functional industrial policy effects of the Belt and Road Initiative: evidence from digital innovation," Journal of Contemporary Accounting and Economics, Elsevier, vol. 21(3).
    14. Andreas Hein & Maximilian Schreieck & Tobias Riasanow & David Soto Setzke & Manuel Wiesche & Markus Böhm & Helmut Krcmar, 2020. "Digital platform ecosystems," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 87-98, March.
    15. Xia, Yue & Md Johar, Md Gapar, 2025. "How external factors influence organisational digital innovation: Evidence from China," Technology in Society, Elsevier, vol. 81(C).
    16. Thomas Kreuzer & Anna-Katharina Lindenthal & Anna Maria Oberländer & Maximilian Röglinger, 2022. "The Effects of Digital Technology on Opportunity Recognition," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(1), pages 47-67, February.
    17. Alabed, Amani & Javornik, Ana & Gregory-Smith, Diana, 2022. "AI anthropomorphism and its effect on users' self-congruence and self–AI integration: A theoretical framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    18. Bejjani, Melissa & Göcke, Lutz & Menter, Matthias, 2023. "Digital entrepreneurial ecosystems: A systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    19. Jianhong Zhang & Désirée Gorp & Henk Kievit, 2023. "Digital technology and national entrepreneurship: An ecosystem perspective," The Journal of Technology Transfer, Springer, vol. 48(3), pages 1077-1105, June.
    20. Sohaib S. Hassan & Konrad Meisner & Kevin Krause & Levan Bzhalava & Petra Moog, 2024. "Is digitalization a source of innovation? Exploring the role of digital diffusion in SME innovation performance," Small Business Economics, Springer, vol. 62(4), pages 1469-1491, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521005138. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.