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On the use of AI-based tools like ChatGPT to support management research

Author

Listed:
  • Bastian Burger
  • Dominik K. Kanbach
  • Sascha Kraus
  • Matthias Breier
  • Vincenzo Corvello

Abstract

Purpose - The article discusses the current relevance of artificial intelligence (AI) in research and how AI improves various research methods. This article focuses on the practical case study of systematic literature reviews (SLRs) to provide a guideline for employing AI in the process. Design/methodology/approach - Researchers no longer require technical skills to use AI in their research. The recent discussion about using Chat Generative Pre-trained Transformer (GPT), a chatbot by OpenAI, has reached the academic world and fueled heated debates about the future of academic research. Nevertheless, as the saying goes, AI will not replace our job; a human being using AI will. This editorial aims to provide an overview of the current state of using AI in research, highlighting recent trends and developments in the field. Findings - The main result is guidelines for the use of AI in the scientific research process. The guidelines were developed for the literature review case but the authors believe the instructions provided can be adjusted to many fields of research, including but not limited to quantitative research, data qualification, research on unstructured data, qualitative data and even on many support functions and repetitive tasks. Originality/value - AI already has the potential to make researchers’ work faster, more reliable and more convenient. The authors highlight the advantages and limitations of AI in the current time, which should be present in any research utilizing AI. Advantages include objectivity and repeatability in research processes that currently are subject to human error. The most substantial disadvantages lie in the architecture of current general-purpose models, which understanding is essential for using them in research. The authors will describe the most critical shortcomings without going into technical detail and suggest how to work with the shortcomings daily.

Suggested Citation

  • Bastian Burger & Dominik K. Kanbach & Sascha Kraus & Matthias Breier & Vincenzo Corvello, 2023. "On the use of AI-based tools like ChatGPT to support management research," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 26(7), pages 233-241, April.
    • Handle: RePEc:eme:ejimpp:ejim-02-2023-0156
    DOI: 10.1108/EJIM-02-2023-0156
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    Citations

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

    1. Li-Yuan Huang & Xun Zhang & Qiang Wang & Zhen-Song Chen & Yang Liu, 2024. "Evaluating Media Knowledge Capabilities of Intelligent Search Dialogue Systems: A Case Study of ChatGPT and New Bing," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 17284-17307, December.
    2. Al-khatib, Ayman wael & AL-Shboul, Moh'd Anwer & Khattab, Mais, 2024. "How can generative artificial intelligence improve digital supply chain performance in manufacturing firms? Analyzing the mediating role of innovation ambidexterity using hybrid analysis through CB-SE," Technology in Society, Elsevier, vol. 78(C).
    3. Valentin J. Schmitt, 2025. "Disentangling patent quality: using a large language model for a systematic literature review," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(1), pages 267-311, January.
    4. Leonardo Banh & Gero Strobel, 2023. "Generative artificial intelligence," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
    5. Khan, Ali Nawaz & Khan, Naseer Abbas, 2024. "The gig economy's secret weapon: ChatGPT," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    6. Stefan Feuerriegel & Jochen Hartmann & Christian Janiesch & Patrick Zschech, 2024. "Generative AI," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(1), pages 111-126, February.
    7. Thomas, Asha & Duggal, Harshleen Kaur & Khatri, Puja & Corvello, Vincenzo, 2024. "ChatGPT appropriation: A catalyst for creative performance, innovation orientation, and agile leadership," Technology in Society, Elsevier, vol. 78(C).
    8. Jorzik, Philip & Antonio, Jerome L. & Kanbach, Dominik K. & Kallmuenzer, Andreas & Kraus, Sascha, 2024. "Sowing the seeds for sustainability: A business model innovation perspective on artificial intelligence in green technology startups," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    9. Sascha Kraus & Ricarda B. Bouncken & Alba Yela Aránega, 2024. "The burgeoning role of literature review articles in management research: an introduction and outlook," Review of Managerial Science, Springer, vol. 18(2), pages 299-314, February.
    10. Dominik K. Kanbach & Louisa Heiduk & Georg Blueher & Maximilian Schreiter & Alexander Lahmann, 2024. "The GenAI is out of the bottle: generative artificial intelligence from a business model innovation perspective," Review of Managerial Science, Springer, vol. 18(4), pages 1189-1220, April.

    More about this item

    Keywords

    AI-Aided research; Management research; Systematic literature review; I10 general; O33 innovation;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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