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Osorio Andrade, C. F., Arango Espinal, E., & Loaiza Gallego, J. A. (2024). Inteligencia artificial generativa: análisis bibliométrico de su impacto en la sociedad y sus consideraciones para el mundo empresarial. Revista Guillermo De Ockham, 23(1), 247–263. https://doi.org/10.21500/22563202.6961
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Resumen
Se evaluó el estado de la investigación científica que relaciona al campo de la inteligencia artificial generativa con el área del management. Mediante un análisis bibliométrico, se revisaron 133 artículos científicos indexados en Scopus entre 2020 y 2023. Indicadores descriptivos, análisis cualitativo de textos y un diagrama de red social, permitieron resumir la literatura científica para el campo de estudio. Se identificaron nueve corrientes de investigación: inteligencia artificial en educación; ChatGPT como tecnología disruptiva; impactos generales de ChatGPT; ChatGPT auto concepto y bienestar; ChatGPT e investigación académica; ChatGPT en gestión de organizaciones; ChatGPT en gestión de la cadena de suministro; ChatGPT en turismo y hospitalidad y aspectos éticos de ChatGPT.
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Referencias
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Ameen, N. Hosany, S. & Taheri, B. (2023). Generation Z’s psychology and new-age technolo- gies: implications for future research. Psychology & Marketing, 40(10), 2029–2040. https:// doi.org/10.1002/MAR.21868
Arango, E. Ceballos, R. & Osorio, C. (2020). Investigación en publicidad política: un análisis bibliométrico. Revista Guillermo de Ockham, 18(2), 181–189. http://doi. org/10.21500/22563202.4574
Aria, M. & Cuccurullo, C. (2017). Bibliometrix: an R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
Ayinde, L. Wibowo, M. P. Ravuri, B. & Emdad, F. Bin. (2023). ChatGPT as an important tool in organizational management: a review of the literature. 40(3), 137–149. https://doi. org/10.1177/02663821231187991
Bitzenbauer, P. (2023). ChatGPT in physics education: a pilot study on easy-to-implement activi- ties. Contemporary Educational Technology, 15(3). https://doi.org/10.30935/cedtech/13176
Boeris, C. E. (2010). Aplicación de métodos bibliométricos a la evaluación de colecciones: el caso de la Biblioteca del Instituto Argentino de Radioastronomía. http://sedici.unlp.edu.ar/ handle/10915/17179
Budhwar, P. Chowdhury, S. Wood, G. Aguinis, H. Bamber, G. J. Beltran, J. R. Boselie, P. Lee Cooke, F. Decker, S. DeNisi, A. Dey, P. K. Guest, D. Knoblich, A. J. Malik, A. Paauwe,
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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, 26(7), 233–241. https://doi.org/10.1108/EJIM-02-2023-0156/FULL/PDF
Carvalho, I. & Ivanov, S. (2023). ChatGPT for tourism: applications, benefits and risks. Tourism Review, ahead-of-print (ahead-of-print). https://doi.org/10.1108/TR-02-2023-0088/FULL/ XML
Dalalah, D. & Dalalah, O. M. A. (2023). The false positives and false negatives of generative AI detection tools in education and academic research:the case of ChatGPT. The International Jour- nal of Management Education, 21(2), 100822. https://doi.org/10.1016/J.IJME.2023.100822
Dogru, T. Line, N. Mody, M. Hanks, L. Abbott, J. Acikgoz, F. Assaf, A. Bakir, S. Berbekova, A. Bilgihan, A. Dalton, A. Erkmen, E. Geronasso, M. Gomez, D. Graves, S. Iskender, A. Ivanov,
S. Kizildag, M. Lee, M. … Zhang, T. (2023). Generative Artificial Intelligence in the hospitality and tourism industry: developing a framework for future research. Journal of Hospitality and Tourism Research. https://doi.org/10.1177/10963480231188663
Donthu, N. Kumar, S. Pandey, N. Pandey, N. & Mishra, A. (2021). Mapping the electronic word-of-mouth (eWOM) research: a systematic review and bibliometric analysis. Journal of Business Research, 135, 758–773. https://doi.org/10.1016/j.jbusres.2021.07.015
Duan, Y. Edwards, J. S. & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Infor- mation Management, 48(January), 63–71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021
Dwivedi, Y. K. Kshetri, N. Hughes, L. Slade, E. L. Jeyaraj, A. Kar, A. K. Baabdullah, A. M. Koohang, A. Raghavan, V. Ahuja, M. Albanna, H. Albashrawi, M. A. Al-Busaidi, A. S. Bal- akrishnan, J. Barlette, Y. Basu, S. Bose, I. Brooks, L. Buhalis, D. … Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Jour- nal of Information Management, 71(March). https://doi.org/10.1016/j.ijinfomgt.2023.102642
Dwivedi, Y. K. Pandey, N. Currie, W. & Micu, A. (2023). Leveraging ChatGPT and other gen- erative artificial intelligence (AI)-based applications in the hospitality and tourism industry: practices, challenges and research agenda. International Journal of Contemporary Hospitality Management, ahead-of-print). https://doi.org/10.1108/IJCHM-05-2023-0686
Frederico, G. F. (2023). ChatGPT in Supply Chains: initial evidence of applications and poten- tial research agenda. Logistics 2023, 7(2), 26. https://doi.org/10.3390/LOGISTICS7020026
Gupta, S. Verma, R. & Victorino, L. (2006). Empirical research published in production and operations management (1992-2005): trends and future research directions. Production and Operations Management, 15(3), 432–448. https://doi.org/10.1111/J.1937-5956.2006. TB00256.X/ABSTRACT
Gursoy, D. Li, Y. & Song, H. (2023). ChatGPT and the hospitality and tourism industry: an overview of current trends and future research directions. Journal of Hospitality Marketing & Management, 32(5), 579–592. https://doi.org/10.1080/19368623.2023.2211993
Halaweh, M. (2023). ChatGPT in education: strategies for responsible implementation. Contem- porary Educational Technology, 15(2).
Hellas, A. Ihantola, P. Petersen, A. Ajanovski, V. V, Hynninen, T. Knutas, A. Leinonen, J. Mes- som, C. Liao, S. N. & Gutica, M. (n.d.). Predicting Academic Performance: A Systematic Literature Review. https://doi.org/10.1145/3293881.3295783
Iskender, A. (2023). Holy or Unholy? Interview with Open AI’s ChatGPT. European Journal of Tourism Research, 34, 3414–3414. https://doi.org/10.54055/EJTR.V34I.3169
Ivanov, S. Gretzel, U. Berezina, K. Sigala, M. & Webster, C. (2018). Progress on robotics in hospitality and tourism: a review of the literature. Journal of Hospitality & Tourism Technology, 10(4), 489–521. https://doi.org/10.1108/JHTT-08-2018-0087
Ivanov, S. & Soliman, M. (2023). Game of algorithms: ChatGPT implications for the future of tourism education and research. Journal of Tourism Futures, 9(2), 214–221. https://doi.org/10.1108/JTF-02-2023-0038/FULL/PDF
Korzynski, P. Mazurek, G. Altmann, A. Ejdys, J. Kazlauskaite, R. Paliszkiewicz, J. Wach, K. & Ziemba, E. (2023). Generative artificial intelligence as a new context for management theories: analysis of ChatGPT. Central European Management Journal, 31(1), 3–13. https://doi.org/10.1108/cemj-02-2023-0091
Leinonen, J. Denny, P. Macneil, S. Sarsa, S. Bernstein, S. Kim, J. Hellas, A. (2023). Comparing code explanations created by students and large language models. Annual conference on innovation and technology in computer science education, ITiCSE, 124-130. https://doi.org/10.1145/3587102.3588785
Lim, W. M. Gunasekara, A. Pallant, J. L. Pallant, J. I. & Pechenkina, E. (2023). Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators. International Journal of Management Education, 21(2), 100790. https://doi.org/10.1016/j.ijme.2023.100790
Lopezosa, C. (2023). La Inteligencia artificial generativa en la comunicación científica: retos y oportunidades. Revista de Investigación e Innovación en ciencias de la Salud, 5(1), press. https://doi.org/10.46634/riics.211
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