Vol. 19 No. 40 (2024)

Artículos

The use of ChatGPT as a research tool in economics, econometrics and finance

Published 2024-07-18 — Updated on 2024-07-28

  • María de la Luz Pérez-Reveles
    • ,
  • Hugo Necoechea Mondragón
    • ,
  • Gerardo

María de la Luz Pérez-Reveles
IPN

Hugo Necoechea Mondragón
IPN

Gerardo
Instituto Politécnico Nacional, Escuela Superior de Ingenieria Mecanica y Electrica , Unidad Zacatenco, Sección de Estudios de Posgrado e Investigacion

Abstract

ChatGPT has experienced significant growth and adoption since 2018. Its accessibility and adaptability have expanded to all sectors, and it has proven to be a powerful tool that assists researchers in studying problems across various subjects. While numerous studies focus on the use of ChatGPT in various global contexts, it is necessary to conduct more specific research to determine the importance of ChatGPT in the fields of Economics, Econometrics, and Finance. This article conducts a bibliometric analysis using "ChatGPT" as a search string, following the methodology of Zupic and Cater. It was found that publications in the field of medicine accounted for 25.1% of the total reported in 24 knowledge areas, followed by social sciences at 19.7%, computer science at 10.26%, and engineering at 7.6%. Publications in Economics, Econometrics, and Finance regarding the use of ChatGPT as a tool were only 1.53%. The four countries with the most publications on the use of ChatGPT were the United States of America, the United Kingdom, China, and India. This research demonstrates that ChatGPT and AI are gaining momentum in different countries to maintain their position at the forefront of research, and they are likely to be soon adopted in the field of Economics.

Keywords

ChatGPT, economics, econometrics, finance

PDF (Spanish)

Author Biography

María de la Luz Pérez-Reveles

She has a PhD in Administration Sciences from ESCA Sto. Tomas-IPN; He has completed two Diplomas at the IPN called: 1) Teacher Training 2) Challenges and Trends of Education 4.0. He holds Level 6 of the EDI Scholarship. He has 30 years of work experience in the professional field in both the public and private sectors in the areas of business administration, project evaluation, human resources and research. She has held positions as manager and as an official in the educational sector, at the IPN she has served as Head of the Research Support Division, Management Coordinator and Deputy Director of Technology Transfer. He has published books, articles in international magazines and written book chapters. He has 26 years of teaching experience at the IPN and in other institutions at the Higher Secondary, Higher and Postgraduate Levels, and has taught degree seminars since 2005.

Hugo Necoechea Mondragón

He has a Doctorate in Administration Sciences from ESCA Sto. Tomas-IPN has 43 years of experience in the professional field in both the private and public sectors, in areas of management of food production plants, in national and international companies. He has held official positions in the IPN as Head of the Linkage Division of the Linkage Coordination, Coordinator of Operation of Research and Postgraduate Networks in the Research and Postgraduate Secretariat. He has 18 years of teaching experience at the IPN and has taught classes at Higher and Graduate Levels. Author of national and international articles, books and book chapters.

Gerardo

Doctoral student at ESIME Zacatenco Unit

References

  1. Abdullah, M.; Madain, A., & Y. Jararweh (2022). ChatGPT: Fundamentals, Applications and Social Impacts. Paper presented at the 2022 Ninth International Conference on Social Networks Analysis, Management and Security (SNAMS).
  2. Androutsopoulou, A.; N. Karacapilidis; E. Loukis, & Y. Charalabidis (2019). Transforming the communication between citizens and government through AI-guided chatbots. Government information quarterly, 36(2), 358-367.
  3. Bhaskar, S.; S. Bradley; S. Sakhamuri; S. Moguilner; V. K. Chattu; Pandya, S., M. Banach (2020). Designing futuristic telemedicine using artificial intelligence and robotics in the COVID-19 era. Frontiers in public health, 8, 708.
  4. Bian, N.; X. Han; L. Sun; H. Lin; Y. Lu, & B. He (2023). ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models. arXiv preprint arXiv: 2303.16421.
  5. CONISET (2021). El CONICET y la Academia China de Ciencias acuerdan la creación de un Centro conjunto de Ciencia y Tecnología. Retrieved from https://www.conicet.gov.ar/el-conicet-y-la-academia-china-de-ciencias-acuerdan-la-creacion-de-un-centro-conjunto-de-ciencia-y-tecnologia/.
  6. Conitzer, V.; W. Sinnott-Armstrong; J. S. Borg; Y. Deng, & M. Kramer (2017).Moral decision making frameworks for artificial intelligence. Paper presented at the Paper presented at the Proceedings of the AAAI Conference on Artificial Intelligence., San Francisco CA.
  7. Cheng, K.; H. Wu, and C. Li (2023). ChatGPT/GPT-4: enabling a new era of surgical oncology. International Journal of Surgery, 109(8), 2549. doi:Doi: 10.1097/JS9.0000000000000451.
  8. Dergaa, I.; K. Chamari; P. Zmijewski, & H. B. Saad (2023). From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing. Biology of Sport, 40(2), 615-622.
  9. Dwivedi, Y. K.; N. Kshetri; L. Hughes; E. L. Slade; A. Jeyaraj; A. K. Kar, & M. Ahuja (2023). So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for
  10. research, practice and policy. International Journal of Information Management, 71, 102642.
  11. Frąckiewiczen, M. e. j. (2023). ChatGPT-4 para la investigación en ciencias sociales: análisis de datos e información conductual impulsada por IA. Inteligencia artificial Retrieved from https://ts2.space/es/chatgpt-4-para-la-
  12. investigacion-en-ciencias-sociales-analisis-de-datos-e-informacion-conductual-impulsada-por-ia/.
  13. Franken, S., & M. Wattenberg (2019). The impact of AI on employment and organisation in the industrial working environment of the future. Paper presented at the European Conference on the Impact of Artificial Intelligence and Robotics., Oxford UK.
  14. Geerling, W.; G. D. Mateer; J. Wooten, & N. Damodaran (2023). ChatGPT has Mastered the Principles of Economics: Now What? Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4356034.
  15. George, A. S., & A. H. George (2023). A review of ChatGPT AI's impact on several business sectors. Partners Universal International Innovation Journal, 1(1), 9-23. doi:DOI: https://doi.org/10.5281/zenodo.7644359.
  16. Gordijn, B., & H. T. Have (2023). ChatGPT: evolution or revolution? Medicine, Health Care and Philosophy, 26(1-2).
  17. Haleem, A.; M. Javaid, & R. P. Singh (2022). An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges. BenchCouncil transactions on benchmarks, standards and evaluations, 2(4),100089.
  18. Haleem, A.; M. Javaid, & R. P. Singh (2022). An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges. BenchCouncil transactions on benchmarks, standards and evaluations, 2(4), 100089. doi:https://doi.org/10.1016/j.tbench.2023.100089.
  19. Haman, M.; M. Školník, & T. Šubrt (2023). Leveraging ChatGPT for Human Behavior Assessment: Potential Implications for Mental Health Care. Ann Biomed Eng. doi:https://doi.org/10.1007/s10439-023-03269-z.
  20. Hassan, A. M.; J. A. Nelson; J. H. Coert; B. J. Mehrara, & J. C. Selber (2023). Exploring the Potential of Artificial Intelligence in Surgery: Insights from a Conversation with ChatGPT. Annals of surgical oncology,1(4).
  21. Hassani, H., & E. S. Silva (2023). The role of ChatGPT in data science: how ai-assisted conversational interfaces are revolutionizing the field. Big data and cognitive computing, 7(2), 62.
  22. He, Y.; Tang, H.; D. Wang; S. Gu; G. Ni, & H. Wu (2023). Will ChatGPT/GPT-4 be alighthouse to guide spinal surgeons? Annals of Biomedical Engineering, 1(4).
  23. Janssen, M.; P. Brous; E. Estevez; L. S. Barbosa, & T. Janowski (2020). Data governance: Organizing data for trustworthy Artificial Intelligence. Government information quarterly, 37(3), 101493. doi:https://doi.org/10.1016/j.giq.2020.101493.
  24. Javaid, M.; A. Haleem, & R. P. Singh (2023). ChatGPT for healthcare services: An emerging stage for an innovative perspective. BenchCouncil transactions on benchmarks, standards and evaluations, 100105.
  25. Javaid, M.; A. Haleem, & R. P. Singh (2023). ChatGPT for healthcare services: An emerging stage for an innovative perspective. BenchCouncil transactions on benchmarks, standards and evaluations, 3(1), 100105.
  26. Kalla, D., & N. Smith (2023). Study and Analysis of Chat GPT and its Impact on Different Fields of Study. International Journal of Innovative Science and Research Technology, 8(3).
  27. Kalla, D., & N. Smith (2023). Study and Analysis of Chat GPT and its Impact on Different Fields of Study. International Journal of Innovative Science and Research Technology, 8(3).
  28. Kasneci, E.; K. Seßler; S. Küchemann; M. Bannert; D. Dementieva; F. Fischer, & E. Hüllermeier (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. doi:https://doi.org/10.35542/osf.io/5er8f.
  29. Katz, A.; S. Wei; G. Nanda; C. Brinton, & M. Ohland (2023). Exploring the Efficacy of ChatGPT in Analyzing Student Teamwork Feedback with an Existing Taxonomy., arXiv preprint arXiv:2305.11882.
  30. Kennedy, A. (2023). Ranked: Artificial Intelligence Startups, by Country. Retrieved from https://www.visualcapitalist.com/sp/global-ai-investment/.
  31. Koulu, R. (2020). Proceduralizing control and discretion: Human oversight in artificial intelligence policy. Maastricht Journal of European and Comparative Law, 27(6), 720-735.
  32. Lecler, A.; L. Duron, & P. Soyer (2023). Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT. Diagnostic and Interventional Imaging., 104(6). doi:DOI:10.1016/j.diii.2023.02.003.
  33. Martinez-Martin, N.; Z. Luo; A. Kaushal; E. Adeli; A. Haque; S. S. Kelly, & L. Fei-Fei (2021). Ethical issues in using ambient intelligence in health-care settings. The lancet digital health, 3(2), e115-e123. doi:doi:DOI:https://doi.org/10.1016/S2589-7500(20)30275-2.
  34. Miao, Q.; W. Zheng; Y. Lv; M. Huang; W. Ding, & F. Y. Wang (2023). DAO to HANOI via DeSci: AI paradigm shifts from AlphaGo to ChatGPT. IEEE/CAA Journal of Automatica Sinica, 10(4), 877-897.
  35. Michel-Villareal, R.; E. Vilalta-Perdomo; D. E. Salinas-Navarro; R. Thierry-Aguilera, & F. S. Gerardou (2023). Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Educ. Sci., 13(9), 856. doi: https://
  36. doi.org/10.3390/educsci13090856.
  37. Miller, T. (2019). Explanation in artificial intelligence: Insights from the social sciences. Artificial intelligence, 267, 1-38. doi:https://doi.org/10.1016/j.artint.2018.07.007.
  38. Moor, M.; O. Banerjee; Z. S. H. Abad; H. M. Krumholz; J. Leskovec; E. J. Topol, & P. Rajpurkar (2023). Foundation models for generalist medical artificial intelligenc. Nature, 616((7956), 259-265.
  39. Morley, J.; C. C. Machado; C. Burr; J. Cowls; I. Joshi; M. Taddeo, & L. Floridi (2020).The ethics of AI in health care: a mapping review. Social Science & Medicine, 260, 113172.
  40. Myers, K.; P. Berry; J. Blythe; K. Conley; M. Gervasio; D. L. McGuinness, & M. Tambe (2007). An intelligent personal assistant for task and time management. AI Magazine, 28(2), 47.
  41. Ollivier, M.; A. Pareek; J. Dahmen; M. Kayaalp; P. W. Winkler; M. T. Hirschmann, & J. Karlsson (2023). A deeper dive into ChatGPT: history, use and future perspectives for orthopaedic research. Knee Surg Sports Traumatol Arthrosc, 31(4), 1190-1192. doi:DOI: 10.1007/s00167-023-07372-5.
  42. Pan, Y., & L. Zhang (2021). Roles of artificial intelligence in construction engineering and management. A critical review and future trends. Automation in Construction, 122, 103517.
  43. Ruane, E.; A. Birhane, & A. Ventresque (2019). Conversational AI: Social and Ethical Considerations.
  44. Sallam, M.; N. Salim; M. Barakat, & A. N. J. Al-Tammemi (2023). ChatGPT applications in medical, dental, pharmacy, and public health education: A descriptive study highlighting the advantages and limitations. Narra j, 3(1), e103. doi:http://
  45. doi.org/10.52225/narra.v3i1.103.
  46. Schulenberg, K.; L. Li; G. Freeman; S. Zamanifard, & N. J. McNeese (2023). Towards Leveraging AI-based Moderation to Address Emergent Harassment in Social Virtual Reality. Paper presented at the Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
  47. Solomon, D. H.; K. D. Allen; P. Katz; A. H. Sawalha, & E. Yelin (2023). ChatGPT, et al . Artificial Intelligence, Authorship, and Medical Publishing. ACR Open Rheumatology, 5(6), 288-289. doi:DOI 10.1002/acr2.11538.
  48. Sullivan, M.; A. Kelly, & P. McLaughlan (2023). ChatGPT in higher education: Considerations for academic integrity and student learning. Journal of Applied Learning and Teaching, 6(1). doi:https://doi.org/10.37074/jalt.2023.6.1.17.
  49. UNC (2023). The University of North caroline at Chapel Hill. Retrieved from https://www.unc.edu/story/on-the-cutting-edge/.
  50. Van Dis, E. A.; J. Bollen; W. Zuidema; R. van Rooij, & C. L. Bockting (2023). ChatGPT: five priorities for research. Nature, 614(7847), 224-226. doi:DOI: 10.1038/d41586-023-00288-7.
  51. Vrije-Universitaite-Amsterdam (2023). Dealing with ChatGPT in Higher Education. Retrieved from https://vu.nl/en/news/2023/dealing-with-chatgpt-in-higher-education.
  52. Wang, F. Y.; Q. Miao; X. Li; X. Wang, & Y. Lin (2023). What Does ChatGPT The DAO from Algorithmic Intelligence to Linguistic Intelligence. IEEE/CAA Journal of Automatica Sinica, 10(3), 575-579. doi:DOI: 0.1109/JAS.2023.123486.
  53. Wardat, Y.; M. A. Tashtoush; R. AlAli, & A. M. Jarrah (2023). ChatGPT: A revolutionary tool for teaching and learning mathematics. Eurasia Journal of Mathematics, Science and Technology Education, 19(7), em2286. doi:https://doi.org/10.29333/ejmste/13272.
  54. Woithe, J., & O. Filipec (2023). Understanding the Adoption, Perception, and Learning Impact of ChatGPT in Higher Education: A qualitative exploratory case study analyzing students’ perspectives and experiences with the AI-based large language model. (Independent thesis Basic level (degree of Bachelor), JIBS, Business Administration), Jönköping University, Småland, Suecia.
  55. Xin, Y.; W. Man, & Z. Yi (2021). The development trend of artificial intelligence in medical: A patentometric analysis. Artificial Intelligence in the Life Sciences, 1, 100006.
  56. Zupic, I., & T. Čater (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429-472. doi:doi:10.1177/1094428114562629.