Artificial Intelligence in academic research
DOI:
https://doi.org/10.5585/2023.25408Keywords:
Artificial Intelligence, Editorial comment., Academic ResearchAbstract
Artificial intelligence (AI) has established itself as a transformative force in the digital era, influencing not only companies but also the field of academic research. This technological evolution, together with the exponential growth of data, is reshaping organizations, societies, and economies (George, Osinga, Lavie, & Scott, 2016). However, the application of AI in academic research is still in its early stages, and many academic journals are beginning to address its judicious use.
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Garbuio, M., & Lin, N. (2021). Innovative idea generation in problem finding: Abductive reasoning, cognitive impediments, and the promise of artificial intelligence. Journal of Product Innovation Management, 38(6), 701–725. https://doi.org/10.1111/jpim.12602
Gartner. (2022). AI Ethics: Use 5 Common Principles as Your Starting Point (https://www.gartner.com/en/documents/3947359). Frank Buytendijk, Erick Brethenoux, and 2 more; pdf. https://www.gartner.com/en/documents/3947359
Gartner. (2023). Applying AI — Techniques and Infrastructure (https://www.gartner.com/en/documents/4300099). Chirag Dekate and Bern Elliot; pdf. https://www.gartner.com/en/documents/4300099
Kakatkar, C., Bilgram, V., & Füller, J. (2020). Innovation analytics: Leveraging artificial intelligence in the innovation process. Business Horizons, 63(2), 171–181. https://doi.org/10.1016/j.bushor.2019.10.006
Leidner, D. E. (2020). What’s in a Contribution? Journal of the Association for Information Systems, 238–245. https://doi.org/10.17705/1jais.00598
Mariani, M. M., Machado, I., & Nambisan, S. (2023). Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda. Journal of Business Research, 155, 113364. https://doi.org/10.1016/j.jbusres.2022.113364
Mariani, M. M., & Nambisan, S. (2021). Innovation Analytics and Digital Innovation Experimentation: The Rise of Research-driven Online Review Platforms. Technological Forecasting and Social Change, 172, 121009. https://doi.org/10.1016/j.techfore.2021.1210
Dwivedi, Y. K., Kshetri, N., Hughes, L., et al. (2023). So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642.
Elsevier. (2023, August 1). Elsevier takes Scopus to the Next Level with Generative AI. Recuperado em 21 de outubro de 2023, de https://beta.elsevier.com/about/press-releases/elsevier-takes-scopus-to-the-next-level-with-generative-ai?trial=true
Elsevier. (s.d.-a). The use of AI and AI-assisted writing technologies in scientific writing: Frequently asked questions. Recuperado em 21 de outubro de 2023, de https://www.elsevier.com/about/policies/publishing-ethics/the-use-of-ai-and-ai-assisted-writing-technologies-in-scientific-writing
Elsevier. (s.d.-b). To Err is Not Human: The Dangers of AI-assisted Academic Writing. Recuperado de https://scientific-publishing.webshop.elsevier.com/research-process/the-dangers-of-ai-assisted-academic-writing/
Garbuio, M., & Lin, N. (2021). Innovative idea generation in problem finding: Abductive reasoning, cognitive impediments, and the promise of artificial intelligence. Journal of Product Innovation Management, 38(6), 701–725. https://doi.org/10.1111/jpim.12602
Gartner. (2022). AI Ethics: Use 5 Common Principles as Your Starting Point (https://www.gartner.com/en/documents/3947359). Frank Buytendijk, Erick Brethenoux, and 2 more; pdf. https://www.gartner.com/en/documents/3947359
Gartner. (2023). Applying AI — Techniques and Infrastructure (https://www.gartner.com/en/documents/4300099). Chirag Dekate and Bern Elliot; pdf. https://www.gartner.com/en/documents/4300099
Hajkowicz, S., Sanderson, C., Karimi, S., Bratanova, A., & Naughtin, C. (2023). Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021. Technology in Society, 74(C).
Hinton, G. E., & Salakhutdinov, R. R. (2006). Reducing the dimensionality of data with neural networks. Science, 313(5786), 504-507. https://doi.org/10.1126/science.1127647
Kakatkar, C., Bilgram, V., & Füller, J. (2020). Innovation analytics: Leveraging artificial intelligence in the innovation process. Business Horizons, 63(2), 171–181. https://doi.org/10.1016/j.bushor.2019.10.006
Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., ... (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digit Health, 2(2), e0000198. https://doi.org/10.1371/journal.pdig.0000198
Leidner, D. E. (2020). What’s in a Contribution? Journal of the Association for Information Systems, 238–245. https://doi.org/10.17705/1jais.00598
Mariani, M. M., Machado, I., & Nambisan, S. (2023). Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda. Journal of Business Research, 155, 113364. https://doi.org/10.1016/j.jbusres.2022.113364
Mariani, M. M., & Nambisan, S. (2021). Innovation Analytics and Digital Innovation Experimentation: The Rise of Research-driven Online Review Platforms. Technological Forecasting and Social Change, 172, 121009. https://doi.org/10.1016/j.techfore.2021.121009
Miric, M., Jia, N., & Huang, K. G. (2023). Using supervised machine learning for large-scale classification in management research: The case for identifying artificial intelligence patents. Strategic Management Journal, 44(2), 491–519. https://doi.org/10.1002/smj.3441
Momtaz, P. P. (2021). CEO emotions and firm valuation in initial coin offerings: An artificial emotional intelligence approach. Strategic Management Journal, 42, 558-578. DOI: 10.1002/smj.3235
Musib, M., Wang, F., Tarselli, M. A., Yoho, R., Yu, K-H., Medina Andrés, R., Greenwald, N. F., Pan, X., Lee, C-H., ... & Sharafeldin, I. M. (2017). Artificial intelligence in research. Science, 357(6346), 28-30. https://doi.org/10.1126/science.357.6346.28
Streeter, M. (2023, June 15). The implications of AI in academic publishing. Wiley. Recuperado em 21 de outubro de 2023, de https://www.wiley.com/en-us/network/publishing/research-publishing/editors/the-implications-of-ai-in-academic-publishing
von Krogh, G., Roberson, Q., & Gruber, M. (2023) Recognizing and Utilizing Novel Research Opportunities with Artificial Intelligence. Academy of Management Journal, 66, 367–373, https://doi.org/10.5465/amj.2023.4002 https://doi.org/10.1177/01492063211040562
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Copyright (c) 2023 Angelica Pigola, Isabel Cristina Scafuto, Priscila Rezende da Costa, Vania Maria Jorge Nassif
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