Fintech Innovation Adoption in the Digital Payments Landscape Amidst the Pandemic: Empirical Evidence and Future Outlook

IF 1.8 Q3 MANAGEMENT
Velappan Shalini, Devarajulu Sabitha
{"title":"Fintech Innovation Adoption in the Digital Payments Landscape Amidst the Pandemic: Empirical Evidence and Future Outlook","authors":"Velappan Shalini, Devarajulu Sabitha","doi":"10.1177/22779752241259506","DOIUrl":null,"url":null,"abstract":"This research evaluates the adoption of digital payment products launched by the National Payments Corporation of India using the Bass diffusion model. The study contributes to Fintech adoption literature and provides empirical and theoretical insights based on historical digital payments data. The findings show that imitation plays a significant role in adoption, with a slow initial adoption followed by acceleration. Among several payment products, UPI (Unified Payments Interface) stands out as the most successfully adopted product. The study highlights the relevance of the Bass diffusion model for estimating adoption rates and offers insights for international regions considering UPI-based payment systems. The results indicate varying adoption rates for different payment products and pronounced impact of imitations, with some experiencing slower adoption post-COVID-19 and others yet to achieve widespread adoption. The results aid business planning in estimating market potential, resource allocation, product development and strategic direction. Regulatory authorities can use this insight to enhance financial inclusion and promote lesser paper cash transactions which lead to socio-economic and business transformation.","PeriodicalId":43330,"journal":{"name":"IIM Kozhikode Society & Management Review","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IIM Kozhikode Society & Management Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/22779752241259506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0

Abstract

This research evaluates the adoption of digital payment products launched by the National Payments Corporation of India using the Bass diffusion model. The study contributes to Fintech adoption literature and provides empirical and theoretical insights based on historical digital payments data. The findings show that imitation plays a significant role in adoption, with a slow initial adoption followed by acceleration. Among several payment products, UPI (Unified Payments Interface) stands out as the most successfully adopted product. The study highlights the relevance of the Bass diffusion model for estimating adoption rates and offers insights for international regions considering UPI-based payment systems. The results indicate varying adoption rates for different payment products and pronounced impact of imitations, with some experiencing slower adoption post-COVID-19 and others yet to achieve widespread adoption. The results aid business planning in estimating market potential, resource allocation, product development and strategic direction. Regulatory authorities can use this insight to enhance financial inclusion and promote lesser paper cash transactions which lead to socio-economic and business transformation.
数字支付大流行中的金融科技创新应用:经验证据与未来展望
本研究采用巴斯扩散模型评估了印度国家支付公司推出的数字支付产品的采用情况。该研究为金融科技采用文献做出了贡献,并基于历史数字支付数据提供了经验和理论见解。研究结果表明,模仿在采用过程中起着重要作用,最初采用速度缓慢,随后加速。在几种支付产品中,UPI(统一支付接口)是最成功的采用产品。这项研究强调了巴斯扩散模型在估计采用率方面的相关性,并为考虑采用基于 UPI 的支付系统的国际地区提供了启示。研究结果表明,不同支付产品的采用率各不相同,模仿的影响也很明显,其中一些产品在 COVID-19 之后的采用率较低,而另一些产品尚未得到广泛采用。这些结果有助于企业在估计市场潜力、资源分配、产品开发和战略方向方面进行规划。监管机构可以利用这一洞察力来提高金融包容性,促进减少纸质现金交易,从而实现社会经济和商业转型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.90
自引率
31.20%
发文量
25
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信