IDEAS home Printed from https://ideas.repec.org/a/bla/jomstd/v61y2024i3p739-751.html
   My bibliography  Save this article

Here, There and Everywhere: On the Responsible Use of Artificial Intelligence (AI) in Management Research and the Peer‐Review Process

Author

Listed:
  • Caroline Gatrell
  • Daniel Muzio
  • Corinne Post
  • Christopher Wickert

Abstract

This editorial introduces and explains the Journal of Management Studies’ (JMS) new policy on artificial intelligence (AI). We reflect on the use of AI in conducting research and generating journal submissions and what this means for the wider JMS community, including our authors, reviewers, editors, and readers. Specifically, we consider how AI‐generated research and text could both assist and augment the publication process, as well as harm it. Consequentially, our policy acknowledges the need for careful oversight regarding the use of AI to assist in the authoring of texts and in data analyses, while also noting the importance of requiring authors to be transparent about how, when and where they have utilized AI in their submissions or underlying research. Additionally, we examine how and in what ways AI's use may be antithetical to the spirit of a quality journal like JMS that values both human voice and research transparency. Our editorial explains why we require author teams to oversee all aspects of AI use within their projects, and to take personal responsibility for accuracy in all aspects of their research. We also explain our prohibition of AI's use in peer‐reviewers’ evaluations of submissions, and regarding editors’ handling of manuscripts.

Suggested Citation

  • Caroline Gatrell & Daniel Muzio & Corinne Post & Christopher Wickert, 2024. "Here, There and Everywhere: On the Responsible Use of Artificial Intelligence (AI) in Management Research and the Peer‐Review Process," Journal of Management Studies, Wiley Blackwell, vol. 61(3), pages 739-751, May.
    • Handle: RePEc:bla:jomstd:v:61:y:2024:i:3:p:739-751
    DOI: 10.1111/joms.13045
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/joms.13045
    Download Restriction: no
    File URL: https://libkey.io/10.1111/joms.13045?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
    ---><---

    References listed on IDEAS

    as
    1. Paul M. Leonardi, 2021. "COVID‐19 and the New Technologies of Organizing: Digital Exhaust, Digital Footprints, and Artificial Intelligence in the Wake of Remote Work," Journal of Management Studies, Wiley Blackwell, vol. 58(1), pages 249-253, January.
    2. Michael Haenlein & Andreas Kaplan & Chee-Wee Tan & Pengzhu Zhang, 2019. "Artificial intelligence (AI) and management analytics," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(4), pages 341-343, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Gazi Islam & Michelle Greenwood, 2024. "Generative Artificial Intelligence as Hypercommons: Ethics of Authorship and Ownership," Journal of Business Ethics, Springer, vol. 192(4), pages 659-663, July.

    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. Ali Zackery & Joseph Amankwah-Amoah & Zahra Heidari Darani & Shiva Ghasemi, 2022. "COVID-19 Research in Business and Management: A Review and Future Research Agenda," Sustainability, MDPI, vol. 14(16), pages 1-32, August.
    2. Aleksi Aaltonen & Marta Stelmaszak, 2024. "The Performative Production of Trace Data in Knowledge Work," Information Systems Research, INFORMS, vol. 35(3), pages 1448-1462, September.
    3. Carlson, Keith & Kopalle, Praveen K. & Riddell, Allen & Rockmore, Daniel & Vana, Prasad, 2023. "Complementing human effort in online reviews: A deep learning approach to automatic content generation and review synthesis," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 54-74.
    4. Cebi, Selcuk & Karakurt, Necip Fazıl & Kurtulus, Erkan & Tokgoz, Bunyamin, 2024. "Development of a decision support system for client acceptance in independent audit process," International Journal of Accounting Information Systems, Elsevier, vol. 53(C).
    5. Yongdang Chen & Zhiyou Han & Kunyu Cao & Xianrong Zheng & Xiaobo Xu, 2020. "Manufacturing upgrading in industry 4.0 era," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 766-771, July.
    6. Fouzeya M. Albastaki & Alaa M. Ubaid & Hamad Rashid, 2024. "Developing a Practical Framework for Applying the Work from Home Concept to Technical Jobs in Electricity Utilities Using the Unified Theory of Acceptance and Use of Technology," Sustainability, MDPI, vol. 16(11), pages 1-24, May.
    7. Antonio ALOISI & Valerio DE STEFANO, 2022. "Essential jobs, remote work and digital surveillance: Addressing the COVID‐19 pandemic panopticon," International Labour Review, International Labour Organization, vol. 161(2), pages 289-314, June.
    8. Zimei Liu & Kefan Xie & Ling Li & Yong Chen, 2020. "A paradigm of safety management in Industry 4.0," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 632-645, July.
    9. Baoshan Ge & Liyi Zhao, 2022. "The impact of the integration of opportunity and resources of new ventures on entrepreneurial performance: The moderating role of BDAC‐AI," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 440-461, May.
    10. Makarius, Erin E. & Mukherjee, Debmalya & Fox, Joseph D. & Fox, Alexa K., 2020. "Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization," Journal of Business Research, Elsevier, vol. 120(C), pages 262-273.
    11. Bosse, Douglas & Thompson, Steven & Ekman, Peter, 2023. "In consilium apparatus: Artificial intelligence, stakeholder reciprocity, and firm performance," Journal of Business Research, Elsevier, vol. 155(PA).
    12. Tiwari, Manisha & Bryde, David J. & Stavropoulou, Foteini & Dubey, Rameshwar & Kumari, Sushma & Foropon, Cyril, 2024. "Modelling supply chain Visibility, digital Technologies, environmental dynamism and healthcare supply chain Resilience: An organisation information processing theory perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    13. Valeri Cirillo & Donato Cutolo & Dario Guarascio & Martin Kenney & Jacopo Tramontano, 2025. "Leveraging Workforce Flexibility to Navigate Platform-Induced Uncertainty: A study of the Italian Restaurant and Hospitality Sectors," Working Papers in Public Economics 257, Department of Economics and Law, Sapienza University of Roma.
    14. Carsten Østerlund & Mohammad Hossein Jarrahi & Matthew Willis & Karen Boyd & Christine T. Wolf, 2021. "Artificial intelligence and the world of work, a co‐constitutive relationship," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(1), pages 128-135, January.
    15. Tatyana Kicheva, 2021. "Opportunities and Challenges of Remote Work," Business & Management Compass, University of Economics Varna, issue 2, pages 145-160.
    16. Kraus, Sascha & Schiavone, Francesco & Pluzhnikova, Anna & Invernizzi, Anna Chiara, 2021. "Digital transformation in healthcare: Analyzing the current state-of-research," Journal of Business Research, Elsevier, vol. 123(C), pages 557-567.
    17. Klöckner, Maximilian & Schmidt, Christoph G. & Wagner, Stephan M. & Swink, Morgan, 2023. "Firms’ responses to the COVID-19 pandemic," Journal of Business Research, Elsevier, vol. 158(C).
    18. Zhang, Yucheng & Zhang, Meng & Li, Jing & Liu, Guangjian & Yang, Miles M. & Liu, Siqi, 2021. "A bibliometric review of a decade of research: Big data in business research – Setting a research agenda," Journal of Business Research, Elsevier, vol. 131(C), pages 374-390.
    19. Sorin-Ciprian Teiusan & Sorin-Constantin Deaconu, 2021. "Artificial Intelligence And Covid-19: An Analysis In Business And Economics," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 144-156, October.
    20. Anna Michalkiewicz & Marzena Syper-Jedrzejak, 2024. "Remote Education and the Development of Selected Social Competencies in Future Manager," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 77-94.

    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:bla:jomstd:v:61:y:2024:i:3:p:739-751. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0022-2380 .

    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.