Below is a summary of the article: Burger, B., Kanbach, D. K., Kraus, S., Breier, M., & Corvello, V. (2023). On the use of AI-based tools like ChatGPT to support management research. European Journal of Innovation Management. https://doi.org/10.1108/EJIM-02-2023-0156
I’ve created a collection of summaries to help me keep track of the academic research I’m reading about Artificial Intelligence in Higher Education. For more summaries, visit: broneager.com/AI-HE-Research
The article discusses the current relevance of artificial intelligence (AI) in research and how AI can improve various research methods. The authors provide guidelines for the use of AI in the scientific research process, which were developed for the systematic literature review case but can be adjusted to many fields of research.
The authors also discuss the benefits of using AI-based tools like ChatGPT in management research. They note that these tools can help researchers save time by automating repetitive tasks such as literature reviews and data analysis. Additionally, integrating AI into the research process can improve accuracy by identifying patterns and relationships that may not be immediately apparent to human researchers.
The article provides examples of successful implementation of ChatGPT in management research. For instance, creating “continuous literature reviews that are always up to date and always sum up the current state of the research” (p. 240). Which, I have to say, would be amazing… can someone please design an AI tool that does this!!
Included in the article is a ‘recipe’ (guide) for using AI to conduct a systematic literature review (SLR), which can be followed in the section titled “How to add AI: applying AI to the SLR process” (p. 236).
Over the years, many scholars have told me that writing SLRs is a sure way to (almost) guarantee your publication will gain a significant number of citations and thus build your H-index. It will be interesting to see the impact AI has on this historically winning formula. In future, I wonder if there will be a need for SLRs at all – will we have trained bots at our side that essentially replace these types of papers?
Overall, the article highlights the potential benefits of integrating AI technologies into academic research processes. However, it also notes that there are challenges associated with using these tools effectively. For instance, researchers must ensure that they are using high-quality data sets and that their algorithms are properly calibrated to avoid bias. As AI technologies improve (and they are currently doing so at a rate that’s hard to keep up with) we’ll likely see far more advancements in AI-powered research.
In conclusion, this article provides valuable insights into how AI-based tools like ChatGPT can be used to support management research, and beyond. The article will no doubt induce a mind-shifting awareness of AI’s inevitable impact on academic research (and publishing!) and is a must-read eye-opener for any academic researcher who’s yet to play with AI tools.
Thanks to the authors for their article!