Fintech applications in social welfare schemes during Covid times: An extension of the classic TAM model in India

Q2 Social Sciences International Social Science Journal Pub Date : 2023-04-08 DOI:10.1111/issj.12406
J. Singh, Manjit Singh
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Abstract

In terms of remote banking services for social welfare programmes, fintech has completely changed the game for financial institutions, particularly during the COVID pandemic. However, many recipients continue to be dubious due to fears about its security. This study aims to create an extended technology acceptance model (TAM) that incorporates perceived risk, trust and innovation diffusion theory into the conventional TAM model to understand better the variables that influence user adoption and implementation of Fintech technologies. The critical FinTech applications were evaluated using the hypothetical classic model, which included external influences. The proposed model (urban poor beneficiaries‐TAM) was experimentally verified using semi‐structured questionnaires and structural equation modelling data. This research shows that attitude has a considerable impact on how fintech apps are meant to be used, outweighing usefulness and risk as factors that directly affect how they are used. The report concludes by discussing the critical organizational consequences and offering a variety of strategies for maintaining this recently innovative business in light of current technological improvements. [ FROM AUTHOR] Copyright of International Social Science Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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新冠疫情期间金融科技在社会福利计划中的应用:印度经典TAM模型的扩展
在为社会福利计划提供远程银行服务方面,金融科技彻底改变了金融机构的游戏规则,特别是在COVID大流行期间。然而,由于担心其安全性,许多接受者仍然持怀疑态度。本研究旨在创建一个扩展的技术接受模型(TAM),将感知风险、信任和创新扩散理论纳入传统的TAM模型,以更好地理解影响用户采用和实施金融科技技术的变量。关键的金融科技应用程序使用假设的经典模型进行评估,其中包括外部影响。采用半结构化问卷调查和结构方程建模数据对所提出的模型(城市贫困受益人- TAM)进行了实验验证。这项研究表明,态度对金融科技应用程序的使用方式有相当大的影响,而不是实用性和风险,是直接影响它们使用方式的因素。报告最后讨论了关键的组织后果,并根据当前的技术改进提供了各种策略来维持这种最近的创新业务。《国际社会科学杂志》版权归Wiley-Blackwell所有,未经版权所有者明确书面许可,其内容不得复制或通过电子邮件发送到多个网站或发布到listserv。但是,用户可以打印、下载或通过电子邮件发送文章供个人使用。这可以删节。对副本的准确性不作任何保证。用户应参阅原始出版版本的材料的完整。(版权适用于所有人。)
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来源期刊
International Social Science Journal
International Social Science Journal Social Sciences-Social Sciences (all)
CiteScore
1.90
自引率
0.00%
发文量
0
期刊介绍: The International Social Science Journal bridges social science communities across disciplines and continents with a view to sharing information and debate with the widest possible audience. The ISSJ has a particular focus on interdisciplinary and transdisciplinary work that pushes the boundaries of current approaches, and welcomes both applied and theoretical research. Originally founded by UNESCO in 1949, ISSJ has since grown into a forum for innovative review, reflection and discussion informed by recent and ongoing international, social science research. It provides a home for work that asks questions in new ways and/or employs original methods to classic problems and whose insights have implications across the disciplines and beyond the academy. The journal publishes regular editions featuring rigorous, peer-reviewed research articles that reflect its international and heterodox scope.
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