ThinkBox - One-way road: the impact of artificial intelligence on the development of knowledge in management
DOI:
https://doi.org/10.1108/RAUSP-07-2023-273Palabras clave:
Artificial Intelligence, Information Science, Science, Scientific Knowledge, Scientific ResearchResumen
This essay provokes the discussion of the impacts and limits of incorporating Artificial Intelligence in producing and disseminating scientific knowledge in Business Administration research. The progressive entry of AI in several areas also reflected in Academia to the point that researchers established rules of conduct for using AI-based applications and universities raised questions about their teaching methods. But, what about scientific knowledge development? How can researchers use these applications without losing the authorial aspect of their productions? This paper seeks to discuss and provoke researchers in the Applied Social Sciences about the impact of Artificial Intelligence on the production of scientific knowledge.
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Ahmed, S., Alshater, M. M., Ammari, A. E., & Hammami, H. (2022). Artificial intelligence and machine learning in finance: A bibliometric review. Research in International Business and Finance, 61, https://doi.org/10.1016/j.ribaf.2022.101646.
Andrade, R. O (2023). O salto da inteligência artificial. Revista FAPESP, Edição 24(235) p.17-22.
Balasubramanian, N., Ye, Y., & Xu, M. (2022). Substituting Human Decision-Making With Machine Learning: Implications for Organizational Learning. Academy of Management Review, 47(3), 448–465. https://doi.org/10.5465/amr.2019.0470.
Brill, T. M., Munoz, L., & Miller, R. J. (2019). Siri, Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications. Journal of Marketing Management, 35(15–16), 1401–1436. https://doi.org/10.1080/0267257X.2019.1687571
Buriak, J. M. et al. (2023). Best practices for using AI when writing scientific manuscripts. ACS Nano, 17(5), 4091-4093. https://doi.org/10.1021/acsnano.3c01544.
Chintalapati, S. & Pandey, S. K. (2022). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research, 64(1), 38-68. https://doi.org/10.1177/147078532110184.
Clark, J., Perrault, R. (2022). Artificial Intelligence Index Report. Stanford University - Human-Centered Artificial Intelligence. Acesso em 24 de abril de 2023. Em https://aiindex.stanford.edu/wp-content/uploads/2022/03/2022-AI-Index-Report_Master.pdf
Cui, Y. & van Esch, P. (2022). Autonomy and control: How political ideology shapes the use of artificial intelligence. Psychology and Marketing, 39(6), 1218–1229. https://doi.org/10.1002/mar.21649.
Else, H. (2023). Researchers cannot always differentiate between AI-generated and original abstracts. Nature, 613. https://doi.org/10.1038/d41586-023-00056-7.
Grand View Research (2022). Market Analysis Report. Artificial Intelligence. https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-market
Accessed March 14, 2023.
Huang, K. (2023, January 16). Alarmed by AI chatbots, universities start revamping how they teach. The New York Times. https://www.nytimes.com/2023/01/16/technology/chatgpt-artificial-intelligence-universities.html Accessed March 14, 2023.
Jordan, M. I. & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255-260.
Keith, T. (2023). Combating Academic Dishonesty, Part 6: ChatGPT, AI, and Academic Integrity. The University of Chicago.
https://academictech.uchicago.edu/2023/01/23/combating-academic-dishonesty-part-6-chatgpt-ai-and-academic-integrity/. Accessed March 14, 2023.
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. Humans: The impact of Artificial Intelligence chatbot disclosure on customer purchases. Marketing Science, 38(6), 937-947. https://doi.org/10.1287/mksc.2019.1192.
McCarthy, J. (2004). What Is Artificial Intelligence? Engineering Materials and Design, 32(3), 1–14. https://doi.org/10.55248/gengpi.2022.31261.
Medaglia, R., Gil-Garcia, R., & Pardo, T. A. (2023). Artificial Intelligence in Government: Taking Stock and Moving Forward. Social Science Computer Review, 41(1). https://doi.org/10.1177/08944393211034087.
Mitchum R. & Lerner, L. (2019). How AI could change science. The University of Chicago News. https://news.uchicago.edu/story/how-ai-could-change-science Acesso em: 19 de Março de 2023.
Mustak, M., Salminen, J., Plé, L., & Wirtz, J. (2021). Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389-404. https://doi.org/10.1016/j.jbusres.2020.10.044.
Nolan, A. (2021, October). Artificial intelligence and the future of Science. OECD.AI Policy Observatory. https://oecd.ai/en/wonk/ai-future-of-science. Accessed March 19, 2023.
Okerlund, J., Klasky, E., Middha, A., Kim, S., Rosenfeld, H., Kleinman, M., & Parthasarathy, S. (2022). What’s in the chatterbox? Large language models, why they matter, and what we should do about them. Technology Assessment Project Report. University of Michigan. https://stpp.fordschool.umich.edu/sites/stpp/files/2022-04/UM%20TAP%20 Large%20Language%20Models%20Full%20Report%202022.pdf Accessed March 14, 2023.
Pereira, V., Hadjielias, E., Christofi, M. & Vrontis, D. (2023) A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective. Human Resource Management Review, 33(1), 100857 1-22.
https://doi.org/10.1016/j.hrmr.2021.100857
Prado L. (2023). ChatGPT : entre o fascínio e o temor pela tecnologia. Jornal da USP. https://jornal.usp.br/cultura/chatgpt-entre-o-fascinio-e-o-temor-pela-tecnologia. Accessed April 13, 2023.
R-bloggers (2022, December 09). ChatGPT can create datasets, program in R… and when it makes an error it can fix that too! https://www.r-bloggers.com/2022/12/chatgpt-can-create-datasets-program-in-r-and-when-it-makes-an-error-it-can-fix-that-too. Accessed March 16, 2023.
Salvagno, M., Taccone, F.S. & Gerli, A.G. (2023). Can artificial intelligence help for scientific writing? Crit Care 27(75). https://doi.org/10.1186/s13054-023-04380-2
Saura, J. R., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2021). Setting B2B digital marketing in artificial intelligence-based CRMs: A review and directions for future research. Industrial Marketing Management, 98, 161-178.
Steiw, P. (2023) Como os professores podem conviver com o ChatGPT. https://www.insper.edu.br/noticias/como-os-professores-podem-conviver-com-o-chatgpt/ Mesa Redonda no Youtube https://www.youtube.com/watch?v=bVltLiuT8Ms&ab_channel=Insper. Accessed April 8, 2023.
Thorp, H. H. (2023, January 26). ChatGPT is fun, but not an author. Science, 6630, 313.
Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2021). Artificial intelligence in supply chain management: A systematic literature review. Journal of Business Research, 122, 502-517. https://doi.org/10.1016/j.jbusres.2020.09.009.
Van Noorden, R. (2022, April). How language-generation AIs could transform science. Nature, 605(7908), 21. https://doi.org/10.1038/d41586-022-01191-3.
Xu, Y. et al. (2021). Artificial Intelligence: A powerful paradigm for scientific research. The Innovation, 2(4), 100179.
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Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Management Department of the School of Economics, Management and Accounting of the University of São Paulo.
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