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Indian Journal of Finance

ISSN: 0973-8711 Frequency: Monthly Peer Review: Double-blind Published since: 2007 Language: English
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Original Article

Open Access Original Article

“Scan & Pay” : Developing a Conceptual Model on “Intention to Adopt” UPI Payment Apps by the Unorganized Retail Sector Using the Extended Valence Theory (EVT)

Arunangshu Giri1,  Wendrila Biswas2

1 Head & Associate Professor , School of Management & Social Science, Haldia Institute of Technology, ICARE Complex, HIT Campus (Main Building), Haldia - 721 657, West Bengal

2 Assistant Professor, School of Management & Social Science, Haldia Institute of Technology, ICARE Complex, HIT Campus (Main Building), Haldia - 721 657, West Bengal

Volume 19
Issue 4
Pages 60–68
Year 2025
Received: Feb. 5, 2025 Accepted: March 10, 2025 Published: April 1, 2025
Abstract

Purpose: Despite the government’s efforts to endorse a cashless economy, the adoption rate of digital payment methods, such as unified payment interfaces (UPI), remained low in the unorganized Indian retail sector. This research paper investigated positive and negative factors that impacted the intention to adopt UPI payment apps by unorganized retailers. It also developed a conceptual model to explain the adoption intention of UPI payment apps with the help of extended valence theory (EVT).Design/Methodology/Approach : A qualitative study was conducted using NVIVO-15 software to develop a conceptual model based on EVT. Forty-five semi-structured, in-depth interviews with unorganized retailers were executed using the snowball sampling technique.

Findings: A conceptual model was developed to analyze the factors influencing the adoption intention of UPI payment apps. The study identified several positive and negative valences, along with the trust factor, that affected adoption intention. This model suggested that positive valences were perceived usefulness, perceived ease of use, social influence, and facilitating conditions, while negative valences were perceived financial risk, perceived security risk, and perceived operational risk.

Implications: This study contributed to the theoretical understanding of unorganized retailers’ adoption intention of UPI payment apps using EVT. It also suggested managerial implications for policymakers as well as financial institutions to play an active role in penetrating the retail market of the unorganized sector in India.Originality/

Value: The present short communication study is unique, as positive and negative valences, as complementary predictors of adoption intention of UPI payment apps in the unorganized retail sector have not been explored in the Indian context.

Keywords UPI payment apps unorganized retail sector intention to adopt EVT NVIVO-15
How to Cite

Arunangshu Giri, Wendrila Biswas (2025). “Scan & Pay” : Developing a Conceptual Model on “Intention to Adopt” UPI Payment Apps by the Unorganized Retail Sector Using the Extended Valence Theory (EVT). Indian Journal of Finance, 19(4), 60–68. https://doi.org/10.17010/ijf/2025/v19i4/174949

References
  1. Basri, S., & Shetty, D. (2018). Predicting e-banking adoption: An evaluation of perceptions and behavioural intentions of small and medium enterprises in Karnataka. Indian Journal of Finance, 12(7), 28–41. https://doi.org/10.17010/ijf/2018/v12i7/129969
  2. Chatterjee, S., & Giri, A. (2021). Understanding consumer behaviour through neuromarketing: A strategic approach towards the mobile phone industry. Indian Journal of Marketing, 51(5–7), 64–80. https://doi.org/10.17010/ijom/2021/v51/i5-7/161648
  3. De Moya, J-F., Pallud, J., & Wamba, S. F. (2021). Impacts of risks over benefits in the adoption of self-tracking technologies. Journal of Global Information Management, 29(6), 1–46. https://doi.org/10.4018/JGIM.20211101.oa10
  4. Dhore, A., Joshi, V. D., Khan, A. H., & Baral, S. K. (2023). Digital payments transformation in India: Trends, issues, and opportunities. In Q. T. Islam, R. Goel, & T. Singh (eds.), Fostering sustainable businesses in emerging economies (pp. 247–257). Emerald Publishing Limited. https://doi.org/10.1108/978-1-80455-640-520231015
  5. Giri, A., & Chatterjee, S. (2020). Impact of fluid team performance on strategic HRM: An empirical study in the organized retail sector of West Bengal. Prabandhan: Indian Journal of Management, 13(4), 25–42. https://doi.org/10.17010/pijom/2020/v13i4/151824
  6. Giri, A., & Pandey, M. (2016). Relationship marketing as an effective promotional tool of yoga marketing in the urban Indian market: An empirical study. Indian Journal of Marketing, 46(5), 42–54. https://doi.org/10.17010/ijom/2016/v46/i5/92488
  7. Giri, A., Biswas, W., & Salo, J. (2022). 'Buy luxury': Adapting the SHIFT framework to explore the psychological facets enabling consumers for sustainable luxury consumption. Indian Journal of Marketing, 52(6), 59–66. https://doi.org/10.17010/ijom/2022/v52/i6/169836
  8. Giri, A., Chatterjee, S., Paul, P., Chakraborty, S., & Biswas, S. (2019). Impact of “smart applications of IoMT (internet of medical things)” on health-care domain in India. International Journal of Recent Technology and Engineering (IJRTE), 8(4), 881–885. https://doi.org/10.35940/ijrte.d7474.118419
  9. Graf-Vlachy, L., Buhtz, K., & König, A. (2018). Social influence in technology adoption: Taking stock and moving forward. Management Review Quarterly, 68, 37–76. https://doi.org/10.1007/s11301-017-0133-3
  10. Gupta, U., & Agarwal, B. (2023). The role of digital financial services on Indian MSMEs. Indian Journal of Finance, 17(2), 8–26. https://doi.org/10.17010/ijf/2023/v17i2/170125
  11. Kaur, J., Kaur, S., Syan, A. S., & Sharma, R. R. (2021). Factors influencing the adoption of payment banks in India using an extended TAM. Asia-Pacific Journal of Management Research and Innovation, 16(4), 309–321. https://doi.org/10.1177/2319510X211013598
  12. Kumar, A., Haldar, P., & Chaturvedi, S. (2024). Factors influencing intention to continue use of e-wallet: Mediating role of perceived usefulness. Vilakshan - XIMB Journal of Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/XJM-12-2023-0243
  13. Kumari, J. N., Arun, C. J., & Mary, A. I. (2021). Mobile payment technology adoption in SME owners in India – An empirical study. Indian Journal of Finance, 15(1), 36–54. https://doi.org/10.17010/ijf/2021/v15i1/157013
  14. Liébana-Cabanillas, F., Japutra, A., Molinillo, S., Singh, N., & Sinha, N. (2020). Assessment of mobile technology use in the emerging market: Analyzing intention to use m-payment services in India. Telecommunications https://doi.org/10.1016/j.telpol.2020.102009 Policy, 44(9), Article ID 102009.
  15. Lin, J., Wang, B., Wang, N., & Lu, Y. (2014). Understanding the evolution of consumer trust in mobile commerce: A longitudinal study. Information Technology and Management, 15, 37–49. https://doi.org/10.1007/s10799-013-0172-y
  16. Nguyen, H. T. (2023). Integrating the valence theory and the norm activation theory to understand consumers' e-waste recycling intention. Chinese Journal of Population, Resources and Environment, 21(1), 26–36. https://doi.org/10.1016/j.cjpre.2023.03.003
  17. Pahari, S., Manna, A., & Biswa, D. (2023). Pay with confidence: A thematic analysis of user intentions and perceptions on third-party and banking payment apps. Indian Journal of Finance, 17(5), 25–38. https://doi.org/10.17010/ijf/2023/v17i5/172735
  18. Paul, P., Giri, A., Chatterjee, S., & Biswas, S. (2019). Determining the effectiveness of 'cloud computing' on human resource management by structural equation modeling (SEM) in manufacturing sector of West Bengal, India. International Journal of Innovative Technology and Exploring Engineering, 8(10), 1937–1942. https://doi.org/10.35940/ijitee.J9276.0881019
  19. Peter, J. P., & Tarpey Sr., L. X. (1975). A comparative analysis of three consumer decision strategies. Journal of Consumer Research, 2(1), 29–37. https://doi.org/10.1086/208613
  20. Razi-ur-Rahim, M., Rabbani, M. R., Uddin, F., & Shaikh, Z. H. (2024). Adoption of UPI among Indian users: Using extended meta-UTAUT model. Digital Business, 4(2), Article ID 100093. https://doi.org/10.1016/j.digbus.2024.100093
  21. Yadav, P., Kumar, A., Mishra, S. K., & Kochhar, K. (2024). Financial equality through technology: Do perceived risks deter Indian women from sustained use of mobile payment services? International Journal of Information Management Data Insights, 4(2), Article ID 100266. https://doi.org/10.1016/j.jjimei.2024.100266
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