IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v40y2019i3p223-231.html
   My bibliography  Save this article

Me or information technology? Adoption of artificial intelligence in the delegation of personal strategic decisions

Author

Listed:
  • Sabrina Schneider
  • Michael Leyer

Abstract

Artificial intelligence is revolutionizing the way we do business. Whereas both the adoption of technological innovations and strategic decision making have been subject to prior research, this experimental study is first to combine both. To understand the impact of choice complexity and cognitive perceptions on the willingness to delegate a strategic decision to an algorithm, we conducted an experiment with 310 participants. We find that although choice complexity has no effect, participants with low levels of situational awareness are more likely to delegate. The findings augment research on choice complexity in decision making by emphasizing the relevance of cognitive perceptions.

Suggested Citation

  • Sabrina Schneider & Michael Leyer, 2019. "Me or information technology? Adoption of artificial intelligence in the delegation of personal strategic decisions," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(3), pages 223-231, April.
    • Handle: RePEc:wly:mgtdec:v:40:y:2019:i:3:p:223-231
    DOI: 10.1002/mde.2982
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.2982
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.2982?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Oliveira, Fabio & Kakabadse, Nada & Khan, Nadeem, 2022. "Board engagement with digital technologies: A resource dependence framework," Journal of Business Research, Elsevier, vol. 139(C), pages 804-818.
    2. Basma Hamrouni & Abdelhabib Bourouis & Ahmed Korichi & Mohsen Brahmi, 2021. "Explainable Ontology-Based Intelligent Decision Support System for Business Model Design and Sustainability," Sustainability, MDPI, vol. 13(17), pages 1-28, September.
    3. Oliver Fabel & Christian Hopp & Alexander Speil, 2020. "Advice‐seeking and advice‐utilization for hiring decisions: An investigation of a partially outsourced recruitment process for rank‐and‐file managers," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(5), pages 784-799, July.
    4. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
    5. Ahi, Alan A. & Sinkovics, Noemi & Shildibekov, Yelnur & Sinkovics, Rudolf R. & Mehandjiev, Nikolay, 2022. "Advanced technologies and international business: A multidisciplinary analysis of the literature," International Business Review, Elsevier, vol. 31(4).
    6. Assunta Di Vaio & Flavio Boccia & Loris Landriani & Rosa Palladino, 2020. "Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    7. Ilaria Tutore & Adele Parmentola & Michele Costagliola di Fiore & Francesco Calza, 2024. "A conceptual model of artificial intelligence effects on circular economy actions," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(5), pages 4772-4782, September.
    8. Carmen Isensee & Kai-Michael Griese & Frank Teuteberg, 2021. "Sustainable artificial intelligence: A corporate culture perspective [Sustainable artificial intelligence: Eine unternehmenskulturelle Perspektive]," Sustainability Nexus Forum, Springer, vol. 29(3), pages 217-230, December.
    9. Denis Dennehy & Anastasia Griva & Nancy Pouloudi & Yogesh K. Dwivedi & Matti Mäntymäki & Ilias O. Pappas, 2023. "Artificial Intelligence (AI) and Information Systems: Perspectives to Responsible AI," Information Systems Frontiers, Springer, vol. 25(1), pages 1-7, February.
    10. Anna Trunk & Hendrik Birkel & Evi Hartmann, 2020. "On the current state of combining human and artificial intelligence for strategic organizational decision making," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 875-919, November.
    11. Ransome Epie Bawack & Emilie Bonhoure, 2023. "Influencer is the New Recommender: insights for Theorising Social Recommender Systems," Information Systems Frontiers, Springer, vol. 25(1), pages 183-197, February.
    12. Farheen Naz & Rohit Agrawal & Anil Kumar & Angappa Gunasekaran & Abhijit Majumdar & Sunil Luthra, 2022. "Reviewing the applications of artificial intelligence in sustainable supply chains: Exploring research propositions for future directions," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2400-2423, July.
    13. Naeem Alasmri & Sarah Basahel, 2022. "Linking Artificial Intelligence Use to Improved Decision-Making, Individual and Organizational Outcomes," International Business Research, Canadian Center of Science and Education, vol. 15(10), pages 1-1, October.
    14. Keding, Christoph & Meissner, Philip, 2021. "Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    15. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
    16. Joshua S. Gans, 2023. "Artificial intelligence adoption in a monopoly market," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1098-1106, March.

    More about this item

    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:wly:mgtdec:v:40:y:2019:i:3:p:223-231. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.