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Factors Affecting Switching Intention from Cash on Delivery to E-Payment Services in C2C E-Commerce Transactions: COVID-19, Transaction, and Technology Perspectives
Emerging Science Journal ; 6(Special Issue):136-150, 2022.
Article in English | Scopus | ID: covidwho-1789906
ABSTRACT
During the COVID-19 pandemic, the application of e-payment has rapidly increased. However, e-payment has not been able to achieve a trustworthy level in e-commerce transactions. Thus, cash payment methods with Cash On Delivery (COD) services still dominate C2C e-commerce payment transactions in Indonesia. This study aims to investigate factors that affect users' switching intentions from COD to e-payment services. The research model was adopted by using the Push-Pull-Mooring framework, integrating perceived COVID-19 risk, technology acceptance, and transaction effort. Empirical research was conducted using data from 546 COD and e-payment users in Indonesia, with Structural Equation Modelling (SEM) being used to validate the model and analyze the hypotheses. The results indicate that switching intention from COD to e-payment is significantly influenced by pull factors in e-payment, which are economic benefits, performance expectancy, effort expectancy, and critical mass. There are also two mooring factors that significantly influence the switching intention from COD to e-payment, which are trust and perceived security and privacy. This study makes a significant contribution to the literature in terms of validating a theoretical framework that emphasizes factors that influence user switching intentions from COD to e-payment in the context of the COVID-19 pandemic. This research can be a reference for Indonesian payment system regulators and e-payment service providers in formulating regulations and strategies to accelerate the spread of digital transactions in Indonesia. © 2022 by the authors. Licensee ESJ, Italy.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Emerging Science Journal Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: Emerging Science Journal Year: 2022 Document Type: Article