Purpose : The Indian education sector has undergone significant reforms, accelerated by the nationwide lockdown after the pandemic, and this increased demand for EdTech platforms. Internet-based learning systems gained quick acceptance among students. India has experienced significant growth in digital teaching-learning systems and EdTech platforms in the past few years; this study explored the technology adoption behavior of Indian application users, focusing on the theory of consumption values and determining the factors that drive this behavior.

Design/Methodology/Approach : This study used an explorative mixed-method research approach to conduct focus group discussions with 100 users for questionnaire development and conducting a cross-sectional survey, which was conducted in both online and offline modes to EdTech application users; 513 complete responses so received were analyzed using structural equation modeling.

Findings : The functional, social, conditional, and epistemic values significantly impacted technology-adopted behavior in the Indian scenario for EdTech applications.

Research Implications : The results of this study provided policymakers and EdTech platform developers with valuable insights into the elements influencing technology adoption.

Originality/Value : Considering the Indian government’s thrust toward online education and blended learning approach post-COVID-19, the EdTech sector anticipated exponential growth. Thus, the factors driving technology adoption required research.

1. Aaradhi, V., & Chakraborty, D. (2023). EdTech applications and their adoption in Indian education sector–a bibliometric analysis and systematic literature review. Higher Education, Skills and Work-Based Learning, (Vol. ahead-of-print No. ahead-of-print). https://doi.org/10.1108/HESWBL-09-2022-0192
2. Abbad, M. M. (2021). Using the UTAUT model to understand students' usage of e-learning systems in developing countries. Education and Information Technologies, 26(6), 7205–7224. https://doi.org/10.1007/s10639-021-10573-5
3. Alnusairat, S., Al Maani, D., & Al-Jokhadar, A. (2021). Architecture students' satisfaction with and perceptions of online design studios during COVID-19 lockdown: The case of Jordan universities. Archnet-IJAR, 15(1), 219–236. https://doi.org/10.1108/ARCH-09-2020-0195
4. Amin, S., & Tarun, M. T. (2021). Effect of consumption values on customers' green purchase intention: A mediating role of green trust. Social Responsibility Journal, 17(8), 1320–1336. https://doi.org/10.1108/SRJ-05-2020-0191
5. Anand Shankar Raja, M., & Kallarakal, T. K. (2021). “COVID-19 and students' perception about MOOCs” A case of Indian higher educational institutions. Interactive Technology and Smart Education, 18(3), 450–474. https://doi.org/10.1108/ITSE-07-2020-0106
6. Andrews, L., Kiel, G., Drennan, J., Boyle, M. V., & Weerawardena, J. (2007). Gendered perceptions of experiential value in using web-based retail channels. European Journal of Marketing, 41(5/6), 640–658. https://doi.org/10.1108/03090560710737660
7. Anthony Jnr, B., & Noel, S. (2021). Examining the adoption of emergency remote teaching and virtual learning during and after COVID-19 pandemic. International Journal of Educational Management, 35(6), 1136–1150. https://doi.org/10.1108/IJEM-08-2020-0370
8. Arora, A. K., & Srinivasan, R. (2020). Impact of pandemic COVID-19 on the teaching – learning process: A study of higher education teachers. Prabandhan: Indian Journal of Management, 13(4), 43–56. https://doi.org/10.17010/pijom/2020/v13i4/151825
9. Arun Kumar, A. (2023). Knowledge management in Indian higher education – Issues and challenges. Prabandhan: Indian Journal of Management, 16(6), 60–67. https://doi.org/10.17010/pijom/2023/v16i6/172864
10. Burgstahler, S. (2002). Distance learning: The library's role in ensuring access to everyone. Library Hi Tech, 20(4), 420–432. https://doi.org/10.1108/07378830210452622
11. Carless, D., & Boud, D. (2018). The development of student feedback literacy: Enabling uptake of feedback. Assessment & Evaluation in Higher Education, 43(8), 1315–1325. https://doi.org/10.1080/02602938.2018.1463354
12. Cengiz, E., & Kirkbir, F. (2007). Customer perceived value: The development of a multiple item scale in hospitals. Problems and Perspectives in Management, 5(3), 252–268.
13. Chakraborty, D., & Paul, J. (2023). Healthcare apps' purchase intention: A consumption values perspective. Technovation, 120, 102481. https://doi.org/10.1016/j.technovation.2022.102481
14. Chakraborty, D., Siddiqui, A., Siddiqui, M., & Alatawi, F. M. (2022). Exploring consumer purchase intentions and behavior of buying ayurveda products using SOBC framework. Journal of Retailing and Consumer Services, 65, 102889. https://doi.org/10.1016/j.jretconser.2021.102889
15. Chakraborty, D., Siddiqui, A., Siddiqui, M., Rana, N. P., & Dash, G. (2022). Mobile payment apps filling value gaps: Integrating consumption values with initial trust and customer involvement. Journal of Retailing and Consumer Services, 66, 102946. https://doi.org/10.1016/j.jretconser.2022.102946
16. Cheung, M. L., Leung, W. K., Cheah, J.-H., Koay, K. Y., & Hsu, B.-C. (2021). Key tea beverage values driving tourists' memorable experiences: An empirical study in Hong Kong-style café memorable experience. International Journal of Culture, Tourism and Hospitality Research, 15(3), 355–370. https://doi.org/10.1108/IJCTHR-08-2020-0188
17. Choe, J. Y., & Kim, S. (2018). Effects of tourists' local food consumption value on attitude, food destination image, and behavioral intention. International Journal of Hospitality Management, 71, 1–10. https://doi.org/10.1016/j.ijhm.2017.11.007
18. Dash, G., & Chakraborty, D. (2021a). Digital transformation of marketing strategies during a pandemic: Evidence from an emerging economy during COVID-19. Sustainability, 13(12), 6735. https://doi.org/10.3390/su13126735
19. Dash, G., & Chakraborty, D. (2021b). Transition to E - learning : By choice or by force - A cross - cultural and trans-national assessment. Prabandhan: Indian Journal of Management, 14(3), 8–23. https://doi.org/10.17010/pijom/2021/v14i3/158151
20. Dash, G., Chakraborty, D., & Alhathal, F. (2022). Assessing repurchase intention of learning apps during COVID-19. Electronics, 11(9), 1309. https://doi.org/10.3390/electronics11091309
21. Gill, S., Sharma, A., & Jain, D. M. (2023). Digital disruptions in education: Students' perspective. Prabandhan: Indian Journal of Management, 16(9), 61–77. https://doi.org/10.17010/pijom/2023/v16i9/173167
22. Gupta, R., & Sukumaran, A. (2013). Ethics and morality in finance. Prabandhan: Indian Journal of Management, 6(2), 15–22. https://doi.org/10.17010/pijom/2013/v6i2/59968
23. Hamutoğlu, N. B., Savaşçı, M., & Sezen-Gültekin, G. (2019). Digital literacy skills and attitudes toward e-learning. Journal of Education and Future, 16, 93–107. https://doi.org/10.30786/jef.509293
24. Havryliuk, N., Osaulchyk, O., Dovhan, L., & Bondar, N. (2020). Implementation of e-learning as an integral part of the educational process. Society Integration Education. Proceedings of the International Scientific Conference, 4, 449 – 459. https://doi.org/10.17770/sie2020vol4.5019
25. Hung, C.-H., & Tzang, S.-W. (2021). Consumption and investment values in housing price: A real options approach. International Journal of Strategic Property Management, 25(4), 278–290. https://doi.org/10.3846/ijspm.2021.14914
26. Iwasaki, C., Tada, Y., Furukawa, T., Sasaki, K., Yamada, Y., Nakazawa, T., & Ikezawa, T. (2019). Design of e-learning and online tutoring as learning support for academic writing. Asian Association of Open Universities Journal, 14(2), 85–96. https://doi.org/10.1108/aaouj-06-2019-0024
27. Jordan, K., David, R., Phillips, T., & Pellini, A. (2021). Education during the COVID-19 crisis: Opportunities and limitations of the use of Educational Technology in low-income countries. Revista de Educación a Distancia (RED), 21(65), 1–15. https://doi.org/10.6018/red.453621
28. Karjaluoto, H., Glavee-Geo, R., Ramdhony, D., Shaikh, A. A., & Hurpaul, A. (2021). Consumption values and mobile banking services: Understanding the urban–rural dichotomy in a developing economy. International Journal of Bank Marketing, 39(2), 272–293. https://doi.org/10.1108/IJBM-03-2020-0129
29. Kaur, P., Dhir, A., Rajala, R., & Dwivedi, Y. (2018). Why people use online social media brand communities : A consumption value theory perspective. Online Information Review, 42(2), 205–221. https://doi.org/10.1108/OIR-12-2015-0383
30. Kaur, P., Dhir, A., Talwar, S., & Ghuman, K. (2021). The value proposition of food delivery apps from the perspective of the consumption value theory. International Journal of Contemporary Hospitality Management, 33(4), 1129–1159. https://doi.org/10.1108/IJCHM-05-2020-0477
31. Kumar, S., Janardhanan, A. K., Khanna, S., William, R. M., & Saha, S. (2023). Students' satisfaction with remote learning during the COVID-19 pandemic: Insights for policymakers. Prabandhan: Indian Journal of Management, 16(9), 43–60. https://doi.org/10.17010/pijom/2023/v16i9/173166
32. Lu, J., Wu, D., Mao, M., Wang, W., & Zhang, G. (2015). Recommender system application developments: A survey. Decision Support Systems, 74, 12–32. https://doi.org/10.1016/j.dss.2015.03.008
33. Ministry of Human Resource Development, Government of India. (2020). National Education Policy 2020. https://www.education.gov.in/sites/upload_files/mhrd/files/NEP_Final_English_0.pdf
34. Mou, T. Y., & Kao, C.-P. (2021). Online academic learning beliefs and strategies: A comparison of preservice and in-service early childhood teachers. Online Information Review, 45(1), 65–83. https://doi.org/10.1108/OIR-08-2019-0274
35. Newton, D., Hase, S., & Ellis, A. (2002). Effective implementation of online learning: A case study of the Queensland mining industry. Journal of Workplace Learning, 14(4), 156–165. https://doi.org/10.1108/13665620210427285
36. Ognjanovic, I., Gasevic, D., & Dawson, S. (2016). Using institutional data to predict student course selections. The Internet and Higher Education, 29, 49–62. https://doi.org/10.1016/j.iheduc.2015.12.002
37. Pardo, A., Han, F., & Ellis, R. A. (2017). Combining university student self-regulated learning indicators and engagement with online learning events to predict academic performance. IEEE Transactions on Learning Technologies, 10(1), 82–92. https://doi.org/10.1109/TLT.2016.2639508
38. Rizvi, Y. S., & Nabi, A. (2021). Transformation of learning from real to virtual: An exploratory-descriptive analysis of issues and challenges. Journal of Research in Innovative Teaching & Learning, 14(1), 5–17. https://doi.org/10.1108/jrit-10-2020-0052
39. Saadé, R., & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and ease of use in online learning: An extension of the technology acceptance model. Information and Management, 42(2), 317–327. https://doi.org/10.1016/j.im.2003.12.013
40. Saqr, M., Fors, U., & Tedre, M. (2018). How the study of online collaborative learning can guide teachers and predict students' performance in a medical course. BMC Medical Education, 18, Article no. 24. https://doi.org/10.1186/s12909-018-1126-1
41. Selwyn, N., & Gašević, D. (2020). The datafication of higher education: Discussing the promises and problems. Teaching in Higher Education, 25(4), 527–540. https://doi.org/10.1080/13562517.2019.1689388
42. Sheth, J. N., Newman, B. I., & Gross, B. L. (1991). Why we buy what we buy: A theory of consumption values. Journal of Business Research, 22(2), 159–170. https://doi.org/10.1016/0148-2963(91)90050-8
43. Shokeen, A., Kumar, A., & Khanna, S. (2023). Understanding students' behavioral intention to adopt blended learning : Modified UTAUT model. Prabandhan: Indian Journal of Management, 16(11), 43–64. https://doi.org/10.17010/pijom/2023/v16i11/170915
44. Singh, J., Matthees, B., & Odetunde, A. L. (2021). Leaning online education during COVID-19 pandemic – attitudes and perceptions of non-traditional adult learners. Quality Assurance in Education, 29(4), 408–421. https://doi.org/10.1108/QAE-12-2020-0147
45. Srivastava, M., Mishra, B., Rao, D. K., Abrol, N., Varma, V., & Bhushan, B. (2020). Recent trends of research in open and distance education in India. Asian Association of Open Universities Journal, 15(2), 263–283. https://doi.org/10.1108/aaouj-06-2020-0044
46. Stringer, T., Mortimer, G., & Payne, A. R. (2020). Do ethical concerns and personal values influence the purchase intention of fast-fashion clothing? Journal of Fashion Marketing and Management, 24(1), 99–120. https://doi.org/10.1108/JFMM-01-2019-0011
47. Tandon, A., Kaur, P., Bhatt, Y., Mäntymäki, M., & Dhir, A. (2021). Why do people purchase from food delivery apps? A consumer value perspective. Journal of Retailing and Consumer Services, 63, 102667. https://doi.org/10.1016/j.jretconser.2021.102667
48. Thomé, K. M., Cappellesso, G., & Pinho, G. M. (2021). Food consumption values and the influence of physical activity. British Food Journal, 123(3), 943–957. https://doi.org/10.1108/BFJ-05-2020-0432
49. Thongsri, N., Chootong, C., Tripak, O., Piyawanitsatian, P., & Saengae, R. (2021). Predicting the determinants of online learning adoption during the COVID-19 outbreak: A two-staged hybrid SEM-neural network approach. Interactive Technology and Smart Education, 18(3), 362–379. https://doi.org/10.1108/ITSE-08-2020-0165
50. Wang, L., Gao, Y., Yan, J., & Qin, J. (2021). From freemium to premium: The roles of consumption values and game affordance. Information Technology & People, 34(1), 297–317. https://doi.org/10.1108/ITP-10-2019-0527
51. Wong, K. H., Chang, H. H., & Yeh, C. H. (2019). The effects of consumption values and relational benefits on smartphone brand switching behaviour. Information Technology & People, 32(1), 217–243. https://doi.org/10.1108/ITP-02-2018-0064
52. Yen, Y. S. (2024). Job demands and technology overload influencing work stress in organisations during the COVID-19 pandemic. Aslib Journal of Information Management, 76(1), 170–188. https://doi.org/10.1108/AJIM-07-2022-0344
53. Zailani, S., Iranmanesh, M., Hyun, S. S., & Ali, M. H. (2019). Applying the theory of consumption values to explain drivers' willingness to pay for biofuels. Sustainability, 11(3), 668. https://doi.org/10.3390/su11030668