Paper Status Tracking
Contact us
customer@davidpublishing.com
Click here to send a message to me 3275638434
Paper Publishing WeChat

Article
Affiliation(s)

1.American International University, Dhaka, Bangladesh 2.Dr. Mamtaz Begum University of Science and Technology, Bhairab, Bangladesh

ABSTRACT

The rapid use of artificial intelligence (AI)-driven writing tools has transformed academic practices in higher education country-wise. However empirical evaluations of specific tools in emerging economies are limited. This study advances to investigate the impact of AI-based chatbots, such as ChatGPT and Claude, on the academic productivity of MBA students at the American International University—Bangladesh (AIUB). This study is grounded in the Technology Acceptance Model (TAM). A quantitative cross-sectional survey was conducted including 93 MBA students at the AIUB. Pearson correlation, simple linear regression, and independent-samples t-tests were utilized to examine the relationships between the intensity of AI usage, academic output, dependence on, and understanding of the ethical ramifications of AI. The findings indicate a robust positive correlation between ChatGPT usage intensity and perceived academic productivity (r (91) = 0.42, p < 0.05), with usage intensity accounting for 23.2% of the variance in productivity (β = 0.35, R² = 0.23). Overall, ChatGPT had broader adoption and was perceived as more user-friendly, but users of Claude AI noted enhanced time efficiency, superior writing quality, and less reliance. No statistically significant differences were seen among the key user groups, primarily due to the imbalance among the subgroups. Research indicates that AI technologies augment academic productivity; yet excessive use and ambiguous institutional AI regulations may impede critical engagement. This study enhances the TAM literature by including AI reliance and ethical awareness into postgraduate business education within a non-Western context. The research possesses practical ramifications for the administration of AI and the advancement of literacy in higher education.

KEYWORDS

artificial intelligence, ChatGPT, Claude AI, academic productivity, Technology Acceptance Model, MBA students, Bangladesh, AI dependency, academic integrity

Cite this paper

AKM Matiur Rahman,ect..Impacts of AI-Based Writing Tools in Academic Productivity for MBA Students at the American International University—Bangladesh.Journal of US-China Public Administration, Jan.-Sep. 2026, Vol. 23, No. 1, 9-24

References
Anthropic. (2023). Anthropic education report: How university students use Claude. Retrieved from https://www.anthropic.com/
news/anthropic-education-report-how-university-students-use-claude

Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023). Transforming education: A comprehensive review of generative AI integration in education. Sustainability, 15(17), 12983. Retrieved from https://doi.org/10.3390/educsci13100998

Bai, Y., Liu, J., & Li, H. (2024). Human-AI collaboration patterns in AI-assisted academic writing. Studies in Higher Education. Retrieved from https://doi.org/10.1080/03075079.2024.2323593

Davis, F. D. (Sep. 1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 1-9. Retrieved from https://doi.org/10.1016/j.lindif.2023.102274

Lund, B. D., & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi Tech News, 40(3), 26-29. Retrieved from https://doi.org/10.1108/LHTN-01-2023-0009

Miah, M. M., & Ahmed, T. (2024). Artificial intelligence tools in developing English writing skills: Bangladeshi university EFL students’ perceptions. English Education Research and Practice, 17(2), 345-371.

Rahman, A., & Karim, S. (2023). AI-enhanced productivity and academic integrity in higher education. IEEE Access, 11, 1-15. Retrieved from https://ieeexplore.ieee.org/iel7/6287639/10005208/10327720.pdf

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R. H., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), Article 15. Retrieved from https://doi.org/10.1186/s40561-023-00237-x

User Hub. (2023). LLM-chatbots in academic writing: Usability and ethical concerns among Bangladeshi university students. Retrieved from https://userhub.com.bd

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.

Yomu. (2024). Customizing academic writing with Claude AI: The future of research composition. Retrieved from https://www.yomu.ai/blog/customizing-academic-writing-with-claude-ai

Zhang, W., & Noy, S. (Jul. 2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654), 187-192. doi:10.1126/science.adh2586 Retrieved from https://www.science.org/doi/10.1126/science.adh2586


About | Terms & Conditions | Issue | Privacy | Contact us
Copyright © 2001 - David Publishing Company All rights reserved, www.davidpublisher.com
3 Germay Dr., Unit 4 #4651, Wilmington DE 19804; Tel: 001-302-3943358 Email: order@davidpublishing.com