An Approach of Technology Acceptance Model 2 Insights from Delhi/NCR

Authors

  • Ms. Yashika Verma Research Scholar, Department of Management, Sharda University, Greater Noida, Uttar Pradesh 201310, India. Author
  • Mr. Shivansh Kaushik Student, Department of BBA, Institute of Innovation in Technology and Management, GGSIPU, Janakpuri, Delhi-110058, India. Author
  • Dr. K.R. Gola Associate Professor, Department of Management, Sharda University, Greater Noida, Uttar Pradesh 201310, India. Author

DOI:

https://doi.org/10.69996/ijari.2024013

Keywords:

Technology Acceptance Model 2, Research, Chat-GPT, Artificial intelligence, Perceived Usefulness

Abstract

Artificial Intelligence (AI) has been a revolution that has greatly affected many different industries and made working style of humans easier. In barely any time at all, Chat-GPT, a potent AI tool, has become a crucial component of every organization. This tool is frequently used by many people in various fields these days, notably students. Numerous research have previously been conducted to determine how students use Chat-GPT for a variety of tasks, such as doing assignments and homework. Using the Technology Acceptance Model 2 (TAM 2), this study ascertains Chat-GPT adoption among university students in Delhi/NCR, particularly those with a background in management for research purposes. Data were collected from 390 Respondents in Dehi/NCR. The partial least squares structural equation modelling was applied to check the path relationships. The findings showed that perceived utility and usability, rather than subjective norms, are what drive people to adopt Chat-GPT. Also, every construct has a positive correlation with perceived usefulness, with the exception of subjective norms and output content quality

References

[1] F.D. Davis, “Technology acceptance model: TAM” AlSuqri, MN, Al-Aufi, AS: Information Seeking Behaviour and Technology Adoption, 205, 1989, 219.

[2] J. Miles, “R‐squared, adjusted R‐squared,” Encyclopaedia of statistics in behavioural science,2005. [3] M.Y. Wu, H.P. Chou, Y.C. Weng, and Y.H. Huang, “TAM-2 based study of website user behaviour-using web 2.0 websites as an example”,WSEAS Transactions on Business and Economics, 4(8), 2011, 133-151.

[4] C.C. Tossell, N.L.Tenhundfeld, A. Momen, K. Cooley and E.J. de Visser, “Student perceptions of ChatGPT use in a college essay assignment: Implications for learning, grading, and trust in artificial intelligence,” IEEE Transactions on Learning Technologies,2 024.

[5] M. Arman, and U.R. Lamiyar, “Exploring the implication of ChatGPT AI for business: Efficiency and challenges,” International Journal of Marketing and Digital Creative,2023,1(2), 64-84.

[6] D. Kalla, N. Smith, F. Samaah and S. Kuraku, “Study and analysis of chat GPT and its impact on different fields of study,” International journal of innovative science and research technology,8(3), 2003.

[7] T.T. Goh, X. Dai and Y. Yang, “Benchmarking ChatGPT for prototyping theories: Experimental studies using the technology acceptance model”, BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 3(4), 2003, 100153.

[8] P. Ajibade, “Technology acceptance model limitations and criticisms: Exploring the practical applications and use in technology-related studies, mixed-method, and qualitative researches”, Library Philosophy and Practice, 2018,9.

[9] M. Hart, and G. Porter, “The impact of cognitive and other factors on the perceived usefulness of OLAP”, Journal of Computer Information Systems, 45(1), 2004, 47-56.

[10]D. Ozag and B. Duguma, “The relationship between cognitive processes and perceived usefulness: An extension of TAM2”, In Proceedings of 23rd Annual Organizational Systems Research Association Conference. Pittsburgh: Pennsylvania,2004.

[11]C.X. Gow, S.C. Wong and C.S. Lim, “Effect of output quality and result demonstrability on generation y’s behavioural intention in adopting mobile health applications”,Asia-Pacific Journal of Management Research and Innovation, 15(3), 2019, 111-121.

[12]M.Z.Yuan, J.W. Lin, C.C.Yang, I.C. Wang and C.H. Hsu, “Effects of Output Quality and Result Demonstrability on the Perceived Usefulness of GPS Sports Watches from the Perspective of Industry 4.0”, Mathematical Problems in Engineering, 2021(1), 4920167.

[13]M.Y. Doo, and C. J. Bonk, “Cognitive instrumental processes of flipped learners: Effects of relevance for learning, quality of learning outcomes, and result demonstrability,” Journal of Educational Computing Research, 59(6), 2012, 1093-1113.

[14]Y. Yulianita, “Comparison of generation x and y: Perceived usefulness, perceived ease of use, and subjective norms on purchase intention in ecommerce”, Jurnal Komunikasi Indonesia,2018,7(2), 4. [15]V. Venkatesh, and F.D. Davis, “A theoretical extension of the technology acceptance model: Four longitudinal field studies,” Management science, 46(2), 2000, 186- 204.

[16]C.K. Tiwari, M.A. Bhat, S.T.Khan, R. Subramaniam and M.A.I. Khan, “What drives students toward ChatGPT? An investigation of the factors influencing adoption and usage of ChatGPT”, Interactive Technology and Smart Education, 21(3), 2024, 333- 355.

[17]M. Firat, “What ChatGPT means for universities: Perceptions of scholars and students”, Journal of Applied Learning and Teaching, 6(1), 2023, 57-6

Downloads

Published

2024-07-31

Issue

Section

Research Article

How to Cite

Ms. Yashika Verma, Mr. Shivansh Kaushik, & Dr. K.R. Gola. (2024). An Approach of Technology Acceptance Model 2 Insights from Delhi/NCR. International Journal of Advance Research and Innovation(IJARI, 2347-3258), 12(3), 10-18. https://doi.org/10.69996/ijari.2024013