Chatgpt in developing economies
Abstract
ChatGPT is diffusing rapidly not only in developed countries but also in developing countries. Here, we evaluate the usefulness and limitations of ChatGPT in the context of the developing world.
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ChatGPT can produce plausible-appearing research papers for reputable journals.
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From Decoding ChatGPT: A taxonomy of existing research, current challenges, and possible future directions (2023) · cites this paper as Kshetri (2023)
Cites
Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., Madriaga, M., Aggabao, R., Diaz-Candido, G., Maningo, J., et al. (2023) · PLOS Digital Health · doi:10.1371/journal.pdig.0000198 · Cited by 4,115 · see citing works
Haque, M. U., Dharmadasa, I., Sworna, Z. T., Rajapakse, R. N., & Ahmad, H. (2022) · arXiv · doi:10.48550/arxiv.2212.05856 · Cited by 203 · see citing works
Establishing The Challenges Affecting South African SMEs
Cant, M. C., & Wiid, J. A. (2013) · International Business & Economics Research Journal (IBER) · doi:10.19030/iber.v12i6.7869 · Cited by 180 · see citing works
The Authoritarian Threat: The Hijacking of “Soft Power”
Walker, C. (2016) · Journal of democracy · doi:10.1353/jod.2016.0007 · Cited by 91 · see citing works
Kshetri, N., & Dholakia, N. (2011) · Journal of International Entrepreneurship · doi:10.1007/s10843-010-0070-x · Cited by 47 · see citing works
Weiss, T. G., & Wilkinson, R. (2021) · Routledge eBooks · doi:10.4324/9781003139836 · Cited by 16 · see citing works
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Kshetri, N. (2022) · University of Michigan Press eBooks · doi:10.3998/mpub.12205632 · Cited by 14 · see citing works
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Menon, D., & Shilpa, K. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e20962 · Cited by 359 · see citing works
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Yan, L., Cheng, C., Zhang, Y., & Miao, Z. (2025) · Management International Review · doi:10.1007/s11575-025-00601-8 · Cited by 2 · see citing works
Patel, M. G., Prajapati, H. N., Patel, N. K., Patel, N. S., Patel, A. K., & Brahmbhatt, H. A. (2024) · ShodhKosh Journal of Visual and Performing Arts · doi:10.29121/shodhkosh.v5.i5.2024.1956 · Cited by 1 · see citing works
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Velli, G. (2023) · Journal of Health Information and Libraries Australasia · doi:10.55999/johila.v4i2.154
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Pradhan, D., Dash, B., Sharma, P., & Ullah, S. (2025) · Springer eBooks · doi:10.1007/978-3-031-91953-4_16
Islam, N., Farhad, S. M. M., & Bhuiyan, S. I. (2026) · IGI Global eBooks · doi:10.4018/979-8-2600-2895-7.ch003
Rupa, R. A., Haque, A., Sultana, F., Sultana, A., Mosharrafa, R. A., & Amin, M. A. (2026) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/8847712
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Awais, M. (2026) · Technology in Society · doi:10.1016/j.techsoc.2026.103541
- Authors
- Kshetri, N.
- Affiliations
- University of North Carolina at Greensboro (US)
- Corresponding author
- Kshetri, Nir
- ORCID
- Kshetri, Nir
- Venue
- IT Professional
- Published
- 2023-03
- Volume
- 25
- Issue
- 2
- Pages
- 16-19
- ISSN
- 1520-9202 (ISSN-L)
- 1941-045X
- OpenAlex
- W4376480780
- Cited by
- 27
- References
- 7
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 10 · 2023: 9
- FWCI
- 2.39
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IT Professional (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- ChatGPT, large language models, developing countries, technology adoption
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