2023
DOI: 10.3390/su15054053
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How Does Perceived Risk and Trust Affect Mobile Banking Adoption? Empirical Evidence from India

Abstract: The emergence of high-speed internet (5G) services and the demonetization of the Indian currency by the Government of India in the year 2016 served as catalysts for the growth of banking services, such as internet/mobile banking. The main objective of the study was to investigate the role of perceived financial cost, perceived risk, and trust in the adoption of mobile banking services by users. The study extends the Unified Theory of Acceptance and Use of Technology (UTAUT) to explain the adoption of mobile ba… Show more

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Cited by 30 publications
(10 citation statements)
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“…Therefore, it has become important to reduce the use of those products that are harmful to the environment. Thus, the promotion of green practices and environmental activities is necessary [5]. This requires an urgent shift from traditional practices to green and sustainable practices, including the consumption of goods and services [6].…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it has become important to reduce the use of those products that are harmful to the environment. Thus, the promotion of green practices and environmental activities is necessary [5]. This requires an urgent shift from traditional practices to green and sustainable practices, including the consumption of goods and services [6].…”
Section: Introductionmentioning
confidence: 99%
“…To examine the elements that influence people's acceptance of FinTech services, particularly on electronic wealth administration platforms [ 49 ], extended the unified theory of acceptance and use of technology (UTAUT) model by adding perceived risk (PR) and perceived value (PV) [ 50 ]. extend the UTAUT model by adding Perceived Risk (PR) and Perceived Trust (PT) to demonstrate the acceptance of mobile banking services among young Indian Users.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Previous studies on mobile banking have predominantly focused on understanding the factors influencing consumers' intention to adopt or continue using the service. These studies have employed technology acceptance models, such as those proposed by Davis (1989) and Venkatesh et al (2012), to examine motivators and inhibitors of mobile banking adoption and continued use, including perceived usefulness, ease of use, subjective norm, performance expectancy, effort expectancy and perceived financial cost (Kumar et al, 2023; Priya et al, 2018; Srivastava & Vishnani, 2021).…”
Section: Literature Review and Conceptual Frameworkmentioning
confidence: 99%