Pay with Confidence : A Thematic Analysis of User Intentions and Perceptions on Third-Party and Banking Payment Apps

Authors

  •   Subhajit Pahari Assistant Professor, Symbiosis Centre for Management Studies, Nagpur, Constituent of Symbiosis International (Deemed University), Pune, Nagpur - 440 008, Maharashtra
  •   Atanu Manna Research Scholar, Centre for Environmental Studies, Vidyasagar University, Vidyasagar University Road, Rangamati, Midnapore - 721 102, West Bengal
  •   Debasish Biswas Assistant Professor, Department of Business Administration, Vidyasagar University, Vidyasagar University Road, Rangamati, Midnapore - 721 102, West Bengal

DOI:

https://doi.org/10.17010/ijf/2023/v17i5/172735

Keywords:

banking payment app

, third-party payment app, thematic analysis, user intentions, perceptions

JELClassification Codes

, G210, M310, O330

Paper Submission Date

, December 1, 2022, Paper sent back for Revision, April 15, 2023, Paper Acceptance Date, April 25, Paper Published Online, May 15, 2023

Abstract

Purpose : Mobile payment and banking applications have transformed traditional banking systems, gaining immense popularity among consumers. This study aimed to compare the usefulness and reliability of third-party payment and banking apps from the users’ perspective.

Methodology : Using a qualitative research approach, we conducted 30 interviews with users from different backgrounds, employing purposive sampling. Thematic analysis was conducted using Atlast.ti software to accomplish the study’s objectives.

Findings : The study identified the primary themes of utility and reliability into seven sub-themes. User-friendliness, accessibility, features and rewards, and trust and convenience were the four principal sub-themes that were highly related to usefulness. There was a strong correlation between these features and customers’ plans to use third-party payment apps. On the other hand, customer support, stability, and security were closely related to the reliability theme and significantly helped customers of banking and payment apps.

Practical Implications : The study’s findings suggested that third-party payment apps need to improve their reliability concerns, while banking payment apps need to enhance their usability features to compete in the market. Financial institutions, policymakers, and academicians could utilize these findings to design payment apps that meet customers’ needs and expectations, gaining a competitive edge in the payment app market.

Originality : This research was the first to focus on and compare third-party payment and banking payment apps based on users’ perceptions and use intentions. Above all, this study provided valuable insights into the features that customers consider crucial in payment and banking apps. Enhancing these features could lead to a better user experience and foster customer loyalty.

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Published

2023-05-01

How to Cite

Pahari, S., Manna, A., & Biswas, 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

Issue

Section

Articles

References

Alghazo, J. M., Kazmi, Z., & Latif, G. (2017). Cyber security analysis of internet banking in emerging countries: User and bank perspectives. 2017 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), 1–6. https://doi.org/10.1109/icetas.2017.8277910

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

Behera, R. K., Bala, P. K., & Rana, N. P. (2022). Assessing factors influencing consumers' nonadoption intention: Exploring the dark sides of mobile payment. Information Technology & People, Vol. ahead-of-print, No. ahead-of-print. https://doi.org/10.1108/itp-03-2022-0223

Biswas, D., Manna, A., & Pahari, S. (2023). Technology management (TM) on corporate sustainability performance (CSP): The moderating role of total quality management (TQM). FIIB Business Review. https://doi.org/10.1177/23197145231168726

Choi, H., Park, J., Kim, J., & Jung, Y. (2020). Consumer preferences of attributes of mobile payment services in South Korea. Telematics and Informatics, 51, 101397. https://doi.org/10.1016/j.tele.2020.101397

Farzin, M., Sadeghi, M., Yahyayi Kharkeshi, F., Ruholahpur, H., & Fattahi, M. (2021). Extending UTAUT2 in M-banking adoption and actual use behavior: Does WOM communication matter? Asian Journal of Economics and Banking, 5(2), 136–157. https://doi.org/10.1108/AJEB-10-2020-0085

Flavián, C., Guinaliu, M., & Lu, Y. (2020). Mobile payments adoption – introducing mindfulness to better understand consumer behavior. International Journal of Bank Marketing, 38(7), 1575–1599. https://doi.org/10.1108/IJBM-01-2020-0039

Gupta, R., Kapoor, C., & Yadav, J. (2020). Acceptance towards digital payments and improvements in cashless payment ecosystem. 2020 International Conference for Emerging Technology (INCET), 1–9. https://doi.org/10.1109/INCET49848.2020.9154024

Gupta, U., & Agarwal, B. (2023). The role of digital financial services on Indian MSMEs. Indian Journal of Finance, 17(2), 08–26. https://doi.org/10.17010/ijf/2023/v17i2/170125

Hanif, Y., & Lallie, H. S. (2021). Security factors on the intention to use mobile banking applications in the UK older generation (55+). A mixed-method study using modified UTAUT and MTAM - with perceived cyber security, risk, and trust. Technology in Society, 67, 101693. https://doi.org/10.1016/j.techsoc.2021.101693

Indriasari, E., Gaol, F. L., & Matsuo, T. (2019). Digital banking transformation: Application of artificial intelligence and big data analytics for leveraging customer experience in the Indonesia Banking Sector. 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI), 863–868. https://doi.org/10.1109/IIAI-AAI.2019.00175

Kapoor, A. P., & Vij, M. (2020). How to boost your app store rating? An empirical assessment of ratings for mobile banking apps. Journal of Theoretical and Applied Electronic Commerce Research, 15(1), 99–115. https://doi.org/10.4067/S0718-18762020000100108

Lee, J.-C., & Chen, X. (2022). Exploring users' adoption intentions in the evolution of artificial intelligence mobile banking applications: The intelligent and anthropomorphic perspectives. International Journal of Bank Marketing, 40(4), 631–658. https://doi.org/10.1108/IJBM-08-2021-0394

Leong, C.-M., Tan, K.-L., Puah, C.-H., & Chong, S.-M. (2021). Predicting mobile network operators users m-payment intention. European Business Review, 33(1). https://doi.org/10.1108/EBR-10-2019-0263

Li, J., Wang, J., Wangh, S., & Zhou, Y. (2019). Mobile payment with Alipay: An application of extended technology acceptance model. IEEE Access, 7, 50380–50387. https://doi.org/10.1109/ACCESS.2019.2902905

Li, X., Zhao, X., Xu, W. (Ato), & Pu, W. (2020). Measuring ease of use of mobile applications in e-commerce retailing from the perspective of consumer online shopping behaviour patterns. Journal of Retailing and Consumer Services, 55, 102093. https://doi.org/10.1016/j.jretconser.2020.102093

Manna, A., Pahari, S., Rana, S., & Biswas, D. (2023). A case on the project failure of water vending machines of Indian Railways : Financial concerns and beyond. Prabandhan: Indian Journal of Management, 16(3), 27–41. https://doi.org/10.17010/pijom/2023/v16i3/172749

Minhas, A. (2022, March 17). Number of mobile banking payments across India from financial year 2013 – 2019. Statista. https://www.statista.com/statistics/870487/indiamobile- banking-payment-volume/

Navena Nesa Kumari, J., Joe Arun, C., & Irudaya Veni Mary, A. (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

Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404–414. https://doi.org/10.1016/j.chb.2016.03.030

Pahari, S., Ghosal, I., Prasad, B., & Dildar, S. M. (2023). Which determinants impact consumer purchase behavior toward online purchasing of organic food products? Prabandhan: Indian Journal of Management, 16(1), 25–41. https://doi.org/10.17010/pijom/2023/v16i1/172667

Pahari, S., Polisetty, A., Sharma, S., Jha, R., & Chakraborty, D. (2023). Adoption of AI in the banking industry : A case study on Indian banks. Indian Journal of Marketing, 53(3), 26–41. https://doi.org/10.17010/ijom/2023/v53/I3/172654

Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54, 102144. https://doi.org/10.1016/j.ijinfomgt.2020.102144

Patki, A., & Sople, V. (2022). Open banking ecosystem : The Indian perspective. Indian Journal of Finance, 16(5), 24–40. https://doi.org/10.17010/ijf/2022/v16i5/169516

Peng, W., Kanthawala, S., Yuan, S., & Hussain, S. A. (2016). A qualitative study of user perceptions of mobile health apps. BMC Public Health, 16, Article 1158. https://doi.org/10.1186/s12889-016-3808-0

Putra, C. I., & Kurniawan, D. (2022). The effect of financial knowledge, time saving, money saving, and convenience to use intention digital mobile payment apps in Bekasi City. East Asian Journal of Multidisciplinary Research, 1(11), 2727–2736. https://doi.org/10.55927/eajmr.v1i11.2245

Roy, P. K., & Shaw, K. (2022). An integrated fuzzy model for evaluation and selection of mobile banking (m-banking) applications using new fuzzy-BWM and fuzzy-TOPSIS. Complex & Intelligent Systems, 8, 2017–2038. https://doi.org/10.1007/s40747-021-00502-x

Sagnier, C., Loup-Escande, E., Lourdeaux, D., Thouvenin, I., & Valléry, G. (2020). User acceptance of virtual reality: An extended technology acceptance model. International Journal of Human–Computer Interaction, 36(11), 993–1007. https://doi.org/10.1080/10447318.2019.1708612

Shen, H., Faklaris, C., Jin, H., Dabbish, L., & Hong, J. I. (2020). 'I can't even buy apples if I don't use mobile pay?': When mobile payments become infrastructural in China. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW2), 1–26. https://doi.org/10.1145/3415241

Sim, J. J., Loh, S. H., Wong, K. L., & Choong, C. K. (2021). Do we need trust transfer mechanisms? An m-commerce adoption perspective. Journal of Theoretical and Applied Electronic Commerce Research, 16(6), 2241–2262. https://doi.org/10.3390/jtaer16060124

Souiden, N., Ladhari, R., & Chaouali, W. (2021). Mobile banking adoption: A systematic review. International Journal of Bank Marketing, 39(2), 214–241. https://doi.org/10.1108/IJBM-04-2020-0182

Tang, Y. M., Chau, K. Y., Hong, L., Ip, Y. K., & Yan, W. (2021). Financial innovation in digital payment with WeChat towards electronic business success. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1844–1861. https://doi.org/10.3390/jtaer16050103

Vadlamudi, S., & Sam, J. (2022). Unified payments interface – Preserving the data privacy of consumers. 2022 International Conference on Cyber Resilience (ICCR), 1–6. https://doi.org/10.1109/ICCR56254.2022.10024689

Verkijika, S. F. (2020). An affective response model for understanding the acceptance of mobile payment systems. Electronic Commerce Research and Applications, 39, 100905. https://doi.org/10.1016/j.elerap.2019.100905

Yadav, A. N., Singh, S., & Jaiswal, A. (2023). A study of regional rural banks : The conundrum of managing inclusion with sustainability. Indian Journal of Finance, 17(1), 47–65. https://doi.org/10.17010/ijf/2023/v17i1/172602

Yang, W., Li, J., Zhang, Y., & Gu, D. (2019). Security analysis of third-party in-app payment in mobile applications. Journal of Information Security and Applications, 48, 102358. https://doi.org/10.1016/j.jisa.2019.102358