Artificial Intelligence in academic research

Authors

DOI:

https://doi.org/10.5585/2023.25408

Keywords:

Artificial Intelligence, Editorial comment., Academic Research

Abstract

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.

Downloads

Download data is not yet available.

Author Biographies

Angelica Pigola, University Nove de Julho - Uninove / São Paulo (SP)

Graduate Program in Administration at Nove de Julho University - Uninove

Isabel Cristina Scafuto, Universidade Nove de Julho - Uninove / São Paulo (SP)

Graduate Program in Project Management at Nove de Julho University - Uninove

Priscila Rezende da Costa, Universidade Nove de Julho - Uninove / São Paulo (SP)

Graduate Program in Administration and Graduate Program in Project Management at Nove de Julho University

Vania Maria Jorge Nassif, Universidade Nove de Julho - Uninove / São Paulo (SP)

Graduate Program in Administration at Nove de Julho University - Uninove

References

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

Published

20.12.2023

How to Cite

Pigola, A., Scafuto, I. C., da Costa, P. R., & Nassif, V. M. J. (2023). Artificial Intelligence in academic research . International Journal of Innovation, 11(3), e25408. https://doi.org/10.5585/2023.25408

Issue

Section

Editorial comment

Most read articles by the same author(s)

<< < 1 2 

Similar Articles

You may also start an advanced similarity search for this article.