A study of Indian Gen X and Millennials consumers’ intention to use FinTech payment services during COVID-19 pandemic

Author:

Singh Ashish Kumar,Sharma Prayas

Abstract

PurposeAmid the COVID-19 contamination, people are bound to use contactless FinTech payment services. Because of restrictions on physical movement and avoidance of touching physical money, people willingly choose mobile payment, resulting in enormous growth in FinTech payment service industries. Because of this, this study aims to examine the effect of factors affecting Gen X and Millennials users to use FinTech payment services.Design/methodology/approachThe authors used 328 responses collected through convenience sampling of Indian users aged between 26 and 57 years in the Delhi-NCR region who are users of FinTech payment services.FindingsThe authors’ findings verified that in India, perceived COVID-19 risk, perceived severity for COVID, individual mobility, subjective norms, perceived ease of use and perceived usefulness have statistically significant impacts on FinTech payment services during the COVID-19 pandemic. Structural equation modelling was used to study the proposed research model. Overall, the model predicted 76.9 % of the variation in intention to use FinTech payment services by the abovesaid variables by Indian users during a pandemic.Practical implicationsThis study will provide valuable insight to all FinTech service providers and stakeholders in planning and designing the concerned policy. It will be able to draw the attention of users more.Originality/valueThis research added a valuable theory to the existing technology adoption model (TAM) theory. It demonstrated the utility of the above variables in adopting and using FinTech payment services, which will help service providers to develop future strategies because of the COVID-19 pandemic.

Publisher

Emerald

Subject

Management Science and Operations Research,Strategy and Management,General Decision Sciences

Reference147 articles.

1. Developing a general extended technology acceptance model for E-Learning (GETAMEL) by analysing commonly used external factors;Computers in Human Behavior,2016

2. Intention of adoption of mobile payment: an analysis in the light of the unified theory of acceptance and use of technology (UTAUT);Undefined, Emerald,2016

3. Agarwal, R. and Parsad, J. (2022), “Are individual differences germane to the acceptance of new information technologies?”, Decision Sciences, available at: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1540-5915.1999.tb01614.x?casa_token=oky2PXUWuCUAAAAA:anTDvkWH8CluBVVH-UW23NTtzys-Exv1N7JI24NLxY0ZRMCkk-Dn8YNHdKkg6JHc2dSG6GIjkYlarLRp7w (accessed 12 March 2022).

4. Age Range by Generation – Beresford Research (2022), available at: www.beresfordresearch.com/age-range-by-generation/ (accessed 26 January 2022).

5. Education, business and society: Contemporary Middle Eastern issues;Education, Business and Society: contemporary Middle Eastern Issues,2008

Cited by 21 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3