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Cash rich to cashless market: Segmentation and profiling of Fintech-led-Mobile payment users

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  • Jaiswal, Deepak
  • Mohan, Ashutosh
  • Deshmukh, Arun Kumar

Abstract

Considering the growing prominence of the Fintech-led-Mobile-Payment (FMP) platform, it has become imperative for practitioners and academicians to look beyond technology adoption to understand causal relationships. Building on the premise, previous literature primarily examined the causal relationships to describe the phenomenon of evolving digital payment technology in a varied context. However, limited studies explored user classification and profiling with some exceptions, principally stressing upon barely online and mobile-based banking segmentation contexts.

Suggested Citation

  • Jaiswal, Deepak & Mohan, Ashutosh & Deshmukh, Arun Kumar, 2023. "Cash rich to cashless market: Segmentation and profiling of Fintech-led-Mobile payment users," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:tefoso:v:193:y:2023:i:c:s0040162523003128
    DOI: 10.1016/j.techfore.2023.122627
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    1. Kanungo, Rama Prasad & Gupta, Suraksha, 2021. "Financial inclusion through digitalisation of services for well-being," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Jadil, Yassine & Rana, Nripendra P. & Dwivedi, Yogesh K., 2021. "A meta-analysis of the UTAUT model in the mobile banking literature: The moderating role of sample size and culture," Journal of Business Research, Elsevier, vol. 132(C), pages 354-372.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Mombeuil, Claudel, 2020. "An exploratory investigation of factors affecting and best predicting the renewed adoption of mobile wallets," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    5. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Wei, June, 2020. "Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach," International Journal of Information Management, Elsevier, vol. 51(C).
    6. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    7. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    8. J. Hartigan, 1985. "Statistical theory in clustering," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 63-76, December.
    9. Vikrant Kaushal & Deepak Jaiswal & Rishi Kant & Nurmahmud Ali, 2021. "Determinants of university reputation: conceptual model and empirical investigation in an emerging higher education market," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 18(8), pages 1846-1867, July.
    10. Upendra Nath Shukla, 2022. "Prospects of mobile payments in Northern India: customer segmentation and profiling," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 27(1), pages 23-37.
    11. Rishi Kant & Deepak Jaiswal & Suyash Mishra, 2019. "A Model of Customer Loyalty: An Empirical Study of Indian Retail Banking Customer," Global Business Review, International Management Institute, vol. 20(5), pages 1248-1266, October.
    12. Oliveira, Tiago & Faria, Miguel & Thomas, Manoj Abraham & Popovič, Aleš, 2014. "Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM," International Journal of Information Management, Elsevier, vol. 34(5), pages 689-703.
    13. Sharma, Sujeet Kumar & Sharma, Manisha, 2019. "Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation," International Journal of Information Management, Elsevier, vol. 44(C), pages 65-75.
    14. Liébana-Cabanillas, F. & Lara-Rubio, J., 2017. "Predictive and explanatory modeling regarding adoption of mobile payment systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 32-40.
    15. Arif Hasan & S. K. Gupta, 2020. "Exploring Tourists’ Behavioural Intentions Towards Use of Select Mobile Wallets for Digital Payments," Paradigm, , vol. 24(2), pages 177-194, December.
    16. Arpan Kumar Kar, 2021. "What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”," Information Systems Frontiers, Springer, vol. 23(5), pages 1341-1361, September.
    17. Al-Saedi, Karrar & Al-Emran, Mostafa & Ramayah, T. & Abusham, Eimad, 2020. "Developing a general extended UTAUT model for M-payment adoption," Technology in Society, Elsevier, vol. 62(C).
    18. Shaw, Norman, 2014. "The mediating influence of trust in the adoption of the mobile wallet," Journal of Retailing and Consumer Services, Elsevier, vol. 21(4), pages 449-459.
    19. Ho, Jonathan C. & Wu, Chorng-Guang & Lee, Chung-Shing & Pham, Thanh-Thao T., 2020. "Factors affecting the behavioral intention to adopt mobile banking: An international comparison," Technology in Society, Elsevier, vol. 63(C).
    20. Jaiswal, Deepak & Kaushal, Vikrant & Kant, Rishi & Kumar Singh, Pankaj, 2021. "Consumer adoption intention for electric vehicles: Insights and evidence from Indian sustainable transportation," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    21. Talwar, Shalini & Dhir, Amandeep & Khalil, Ashraf & Mohan, Geetha & Islam, A.K.M. Najmul, 2020. "Point of adoption and beyond. Initial trust and mobile-payment continuation intention," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    22. Kuttimani Tamilmani & Nripendra P. Rana & Yogesh K. Dwivedi, 2021. "Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2," Information Systems Frontiers, Springer, vol. 23(4), pages 987-1005, August.
    23. Alalwan, Ali Abdallah & Dwivedi, Yogesh K. & Rana, Nripendra P., 2017. "Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust," International Journal of Information Management, Elsevier, vol. 37(3), pages 99-110.
    24. Malodia, Suresh & Dhir, Amandeep & Mishra, Mahima & Bhatti, Zeeshan Ahmed, 2021. "Future of e-Government: An integrated conceptual framework," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    25. Aidan Duane & Philip O'Reilly & Pavel Andreev, 2014. "Realising M-Payments: modelling consumers' willingness to M-pay using Smart Phones," Behaviour and Information Technology, Taylor & Francis Journals, vol. 33(4), pages 318-334, April.
    26. Jon Frost, 2020. "The economic forces driving FinTech adoption across countries," Working Papers 663, DNB.
    27. Jaiswal, Deepak & Deshmukh, Arun Kumar & Thaichon, Park, 2022. "Who will adopt electric vehicles? Segmenting and exemplifying potential buyer heterogeneity and forthcoming research," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    28. Hsieh, Pi-Jung, 2021. "Understanding medical consumers’ intentions to switch from cash payment to medical mobile payment: A perspective of technology migration," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
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