Year 2025,
Volume: 8 Issue: 4 - ICETOL 2025 Special Issue, 429 - 440, 30.12.2025
Daniel Ainooson - Noonoo
,
David Nanor
References
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Adamopoulou, E., & Moussiades, L. (2020). Chatbots: History, technology, and applications. Machine Learning with Applications, 2, 100006. doi: 10.1016/j.mlwa.2020.100006.
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Allouch, M., Azaria, A., & Azoulay, R. (2021). Conversational Agents: Goals, Technologies, Vision and Challenges. Sensors (Basel, Switzerland), 21(24). https://doi.org/10.3390/s21248448
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Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of economic perspectives, 29(3), 3-30.
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Belanche, D., Casalo, L. V., & Guinalıu, M. (2012). Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk. Journal of Retailing and Consumer Services, 19(1), 124–132. doi: 10.1016/j.jretconser.2011.11.001.
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Bowen, H. R., & Mangum, G. L. (1966). Technology and the American economy (Vol. 1). US Government Printing Office.
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Brandtzaeg, P. B., & Følstad, A. (2017). Why people use chatbots. In Internet Science: 4th International Conference, INSCI 2017, Thessaloniki, Greece, November 22-24, 2017, Proceedings 4 (pp. 377-392). Springer International Publishing.
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Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company.
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Bughin, J. (2018). Why AI isn't the death of jobs. MIT Sloan Management Review, 59(4), 42-46.
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Buriak, J. M., Akinwande, D., Artzi, N., Brinker, C. J., Burrows, C., Chan, W. C., ... & Ye, J. (2023). Best Practices for Using AI When Writing Scientific Manuscripts: Caution, Care, and Consideration: Creative Science Depends on It. ACS nano, 17(5), 4091-4093.
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Burstein, F., & Holsapple, C. W. (Eds.). (2008). Handbook on decision support systems 2: variations. Springer Science & Business Media.
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Carvalho, I., & Ivanov, S. (2023). ChatGPT for tourism: applications, benefits and risks. Tourism Review.
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Chui, M., Roberts, R., & Yee, L. (2022). Generative AI is here: How tools like ChatGPT could change your business. Quantum Black AI by McKinsey.
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Culp III, K., Eastwood, C., Turner, S., Goodman, M., & Ricketts, K. G. (2016). Using a SWOT analysis: Taking a look at your organization [2016].
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Derner, E., & Batistič, K. (2023). Beyond the Safeguards: Exploring the Security Risks of ChatGPT. arXiv preprint arXiv:2305.08005.
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Dowling, M., & Lucey, B. (2023). ChatGPT for (finance) research: The Bananarama conjecture. Finance Research Letters, 53, 103662.
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Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & 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 Journal of Information Management, 71, 102642.
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Eke, D. O. (2023). ChatGPT and the rise of generative AI: Threat to academic integrity? Journal of Responsible Technology, 13, 100060.
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Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2023). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 1-15.
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Gao, J., Zhao, H., Yu, C., & Xu, R. (2023). Exploring the feasibility of ChatGPT for event extraction. arXiv. https://doi.org/10.48550/arXiv.2303.03836
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George, A. S., & George, A. H. (2023). A review of ChatGPT AI's impact on several business sectors. Partners Universal International Innovation Journal, 1(1), 9-23.
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Gilardi, F., Alizadeh, M., & Kubli, M. (2023). Chatgpt outperforms crowd-workers for text-annotation tasks. arXiv preprint arXiv:2303.15056.
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Gupta, R., Bagdady, K., & Mailey, B. A. (2023). Ethical concerns amidst employment of ChatGPT in plastic surgery. Aesthetic Surgery Journal, sjad108.
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Hassani, H., & Silva, E. S. (2023). The role of ChatGPT in data science: how ai-assisted conversational interfaces are revolutionising the field. Big data and cognitive computing, 7(2), 62.
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Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of service research, 21(2), 155-172.
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Jaradat, Z., Al-Dmour, A., Alshurafat, H., Al-Hazaima, H., & Al Shbail, M. O. (2022). Factors influencing business intelligence adoption: evidence from Jordan. Journal of Decision Systems, 1-21.
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Kirmani, A. R. (2022). Artificial Intelligence-Enabled Science Poetry. ACS Energy Letters, 8, 574-576.
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Korzynski, P., Mazurek, G., Altmann, A., Ejdys, J., Kazlauskaite, R., Paliszkiewicz, J., ... & Ziemba, E. (2023). Generative artificial intelligence as a new context for management theories: analysis of ChatGPT. Central European Management Journal.
-
Krueger, N. F. (2005). Sustainable entrepreneurship: broadening the definition of opportunity. SSRN accepted paper series, 7: entrepreneurship in a diverse world.
-
Lecler, A., Duron, L., & Soyer, P. (2023). Revolutionizing radiology with GPT-based models: Current applications, future possibilities, and limitations of ChatGPT. Diagnostic and Interventional Imaging. https://doi.org/10.1016/j.diii.2023.02.003
-
Leigh, D. (2009). SWOT analysis. Handbook of Improving Performance in the Workplace: Volumes 1‐3, 115-140.
-
Li, L., Ma, Z., Fan, L., Lee, S., Yu, H., & Hemphill, L. (2023). ChatGPT in education: A discourse analysis of worries and concerns on social media. arXiv preprint arXiv:2305.02201.
-
Lin, C. C., Huang, A. Y., & Yang, S. J. (2023). A review of ai-driven conversational chatbots implementation methodologies and challenges (1999–2022). Sustainability, 15(5), 4012.
-
Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: how may AI and GPT impact academia and libraries?. Library Hi Tech News.
-
M Al Shbail, N Al-Olimat, H Alshurafat, S Al Shbeil, M Baker, & Jaradat, Z. (2022). Factors influencing cloud AIS adoption: Evidence from Jordan. Int. J. of Business Excellence. https://doi.org/10.1504/IJBEX.2021.10042528
-
Manyika, J., & Sneader, K. (2018). AI, automation, and the future of work: Ten things to solve for.
-
Ngô, Q. S., & Trần, T. T. (2023). Digital transformation at non-public universities: Challenges and opportunities. Tạp chí Nghiên cứu Khoa học và Phát triển, 1-12.
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Resnikoff, J. (2022). Labor's End: How the Promise of Automation Degraded Work. University of Illinois Press.
Swot analysis of ChatGPT usage among employees
Year 2025,
Volume: 8 Issue: 4 - ICETOL 2025 Special Issue, 429 - 440, 30.12.2025
Daniel Ainooson - Noonoo
,
David Nanor
Abstract
The introduction and widespread adoption of ChatGPT, particularly in the public domain, have demonstrated the utility of Artificial Intelligence (AI) in nearly all aspects of life. ChatGPT serves as a personal assistant to many people in this era. This extends to the human resources (HR) personnel of various organisations who use ChatGPT for daily tasks, such as writing letters and minutes, and searching for ways to resolve office problems. One hundred senior HR officers from higher educational schools in a sub-Saharan country were selected as participants for the study. As a new technological tool being integrated into various human resource practices, a strengths, weaknesses, opportunities and threats (SWOT) analysis is required to help identify and improve its benefits and mitigate the problems associated with its usage in official duties. ChatGPT is noted to be a time saver and makes work more accessible. From the study, however, it was observed to have weaknesses like being unable to communicate on all subject matters correctly, like a human will and producing text that sounds plausible but is incorrect under the surface. The study’s findings show that institutions can adapt or adopt ChatGPT in official duties, but do so with set policies and guidelines, not to misinform and increase the unemployment rate in Ghana.
Ethical Statement
All ethical protocols for research were observed.
Thanks
To all tertiary institutions management that willingly agreed for their staff to partake in this study and also the staff that willingly agreed to participate in the study.
References
-
Acemoglu, D. (2021). Harms of AI (No. w29247). National Bureau of Economic Research.
-
Acemoglu, D., & Restrepo, P. (2018). Artificial intelligence, automation, and work. In The economics of artificial intelligence: An agenda (pp. 197-236). University of Chicago Press.
-
Adamopoulou, E., & Moussiades, L. (2020). Chatbots: History, technology, and applications. Machine Learning with Applications, 2, 100006. doi: 10.1016/j.mlwa.2020.100006.
-
Allouch, M., Azaria, A., & Azoulay, R. (2021). Conversational Agents: Goals, Technologies, Vision and Challenges. Sensors (Basel, Switzerland), 21(24). https://doi.org/10.3390/s21248448
-
Autor, D. H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of economic perspectives, 29(3), 3-30.
-
Belanche, D., Casalo, L. V., & Guinalıu, M. (2012). Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk. Journal of Retailing and Consumer Services, 19(1), 124–132. doi: 10.1016/j.jretconser.2011.11.001.
-
Bowen, H. R., & Mangum, G. L. (1966). Technology and the American economy (Vol. 1). US Government Printing Office.
-
Brandtzaeg, P. B., & Følstad, A. (2017). Why people use chatbots. In Internet Science: 4th International Conference, INSCI 2017, Thessaloniki, Greece, November 22-24, 2017, Proceedings 4 (pp. 377-392). Springer International Publishing.
-
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. WW Norton & Company.
-
Bughin, J. (2018). Why AI isn't the death of jobs. MIT Sloan Management Review, 59(4), 42-46.
-
Buriak, J. M., Akinwande, D., Artzi, N., Brinker, C. J., Burrows, C., Chan, W. C., ... & Ye, J. (2023). Best Practices for Using AI When Writing Scientific Manuscripts: Caution, Care, and Consideration: Creative Science Depends on It. ACS nano, 17(5), 4091-4093.
-
Burstein, F., & Holsapple, C. W. (Eds.). (2008). Handbook on decision support systems 2: variations. Springer Science & Business Media.
-
Carvalho, I., & Ivanov, S. (2023). ChatGPT for tourism: applications, benefits and risks. Tourism Review.
-
Chui, M., Roberts, R., & Yee, L. (2022). Generative AI is here: How tools like ChatGPT could change your business. Quantum Black AI by McKinsey.
-
Culp III, K., Eastwood, C., Turner, S., Goodman, M., & Ricketts, K. G. (2016). Using a SWOT analysis: Taking a look at your organization [2016].
-
Derner, E., & Batistič, K. (2023). Beyond the Safeguards: Exploring the Security Risks of ChatGPT. arXiv preprint arXiv:2305.08005.
-
Dowling, M., & Lucey, B. (2023). ChatGPT for (finance) research: The Bananarama conjecture. Finance Research Letters, 53, 103662.
-
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & 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 Journal of Information Management, 71, 102642.
-
Eke, D. O. (2023). ChatGPT and the rise of generative AI: Threat to academic integrity? Journal of Responsible Technology, 13, 100060.
-
Farrokhnia, M., Banihashem, S. K., Noroozi, O., & Wals, A. (2023). A SWOT analysis of ChatGPT: Implications for educational practice and research. Innovations in Education and Teaching International, 1-15.
-
Gao, J., Zhao, H., Yu, C., & Xu, R. (2023). Exploring the feasibility of ChatGPT for event extraction. arXiv. https://doi.org/10.48550/arXiv.2303.03836
-
George, A. S., & George, A. H. (2023). A review of ChatGPT AI's impact on several business sectors. Partners Universal International Innovation Journal, 1(1), 9-23.
-
Gilardi, F., Alizadeh, M., & Kubli, M. (2023). Chatgpt outperforms crowd-workers for text-annotation tasks. arXiv preprint arXiv:2303.15056.
-
Gupta, R., Bagdady, K., & Mailey, B. A. (2023). Ethical concerns amidst employment of ChatGPT in plastic surgery. Aesthetic Surgery Journal, sjad108.
-
Hassani, H., & Silva, E. S. (2023). The role of ChatGPT in data science: how ai-assisted conversational interfaces are revolutionising the field. Big data and cognitive computing, 7(2), 62.
-
Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of service research, 21(2), 155-172.
-
Jaradat, Z., Al-Dmour, A., Alshurafat, H., Al-Hazaima, H., & Al Shbail, M. O. (2022). Factors influencing business intelligence adoption: evidence from Jordan. Journal of Decision Systems, 1-21.
-
Kirmani, A. R. (2022). Artificial Intelligence-Enabled Science Poetry. ACS Energy Letters, 8, 574-576.
-
Korzynski, P., Mazurek, G., Altmann, A., Ejdys, J., Kazlauskaite, R., Paliszkiewicz, J., ... & Ziemba, E. (2023). Generative artificial intelligence as a new context for management theories: analysis of ChatGPT. Central European Management Journal.
-
Krueger, N. F. (2005). Sustainable entrepreneurship: broadening the definition of opportunity. SSRN accepted paper series, 7: entrepreneurship in a diverse world.
-
Lecler, A., Duron, L., & Soyer, P. (2023). Revolutionizing radiology with GPT-based models: Current applications, future possibilities, and limitations of ChatGPT. Diagnostic and Interventional Imaging. https://doi.org/10.1016/j.diii.2023.02.003
-
Leigh, D. (2009). SWOT analysis. Handbook of Improving Performance in the Workplace: Volumes 1‐3, 115-140.
-
Li, L., Ma, Z., Fan, L., Lee, S., Yu, H., & Hemphill, L. (2023). ChatGPT in education: A discourse analysis of worries and concerns on social media. arXiv preprint arXiv:2305.02201.
-
Lin, C. C., Huang, A. Y., & Yang, S. J. (2023). A review of ai-driven conversational chatbots implementation methodologies and challenges (1999–2022). Sustainability, 15(5), 4012.
-
Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: how may AI and GPT impact academia and libraries?. Library Hi Tech News.
-
M Al Shbail, N Al-Olimat, H Alshurafat, S Al Shbeil, M Baker, & Jaradat, Z. (2022). Factors influencing cloud AIS adoption: Evidence from Jordan. Int. J. of Business Excellence. https://doi.org/10.1504/IJBEX.2021.10042528
-
Manyika, J., & Sneader, K. (2018). AI, automation, and the future of work: Ten things to solve for.
-
Ngô, Q. S., & Trần, T. T. (2023). Digital transformation at non-public universities: Challenges and opportunities. Tạp chí Nghiên cứu Khoa học và Phát triển, 1-12.
-
Resnikoff, J. (2022). Labor's End: How the Promise of Automation Degraded Work. University of Illinois Press.