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Critical Success Factors of the Digital Payment Infrastructure for Developing Economies

机译:发展经济体的数字支付基础设施的关键成功因素

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This paper studies the Critical Success Factors' (CSFs) for the adoption of Digital Payment System in India. There are few studies about the literature on CSFs for the adoption of the digital payment system in the Indian context. This study is an attempt to cover this gap. In this study, we reviewed the theories for adoption model at the individual level used in Information System (IS) and discussed four technology model including "Technology Acceptance Model" (TAM). Ten factors have been identified with extensive literature review and review of selected models namely; Perceived Ease of Use, Perceived functional benefits, Awareness, Availability of Resources, Government as a policy maker, Performance Expectancy, Social Influence, Price Value, Experience & Habit, and Risk-taking ability. An expert from academic industry has been taken as a reviewer or consultant of the selected variables. The CSFs may ensure that they are the predictors and the important factors for adoption of digital payments system in India. The study mainly uses the deductive approach to consider the primary and secondary sources of data. The analyses of these models take into account through Interpretive Structural Modeling (ISM) methodology and develop a model for effective adoption of Digital Payment System in India. The paper also makes future recommendations for further research studies.
机译:本文研究了印度推出数字支付系统的关键成功因素“(CSF)。关于在印度语境中采用数字支付系统的CSF中的文献几乎没有研究。这项研究是一种试图涵盖这种差距。在这项研究中,我们审查了信息系统中使用的个体层面采用模型的理论,并讨论了四种技术模型,包括“技术验收模型”(TAM)。已经通过广泛的文献综述和对所选模型进行审查来确定十种因素;感知易用性,感知功能效益,资源意识,资源可用性,政府作为政策制定者,性能预期,社会影响力,价格价值,经验习惯以及耐受风险的能力。学术界的专家已被视为所选变量的审阅者或顾问。 CSFS可能会确保他们是在印度采用数字付款系统的预测因素和重要因素。该研究主要使用Deftuctive方法来考虑主要和次要数据来源。这些模型的分析通过解释性结构建模(ISM)方法考虑,并开发了一种有效采用印度数字支付系统的模型。本文还制定了进一步研究研究的未来建议。

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