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Digital payment system innovations: A marketing perspective on intention and actual use in the retail sector

Author(s)
Chaveesuk, Singha
Khalid, Bilal
Chaiyasoonthorn, Wornchanok
Date Issued
September 1, 2021
Type
Article
DOI
10.21511/im.17(3).2021.09
Abstract
This study empirically investigated the marketing perspectives of behavioral intention and the actual use of digital payment solutions as electronic innovation for retail purchases in Thailand. This is important as leveraging digital innovation can be applied to minimize physical contact between retailers and customers, especially in the COVID-19 era. The UTAUT model was used and extended to include attitude, social distancing, and perceived risk variables. The study was conducted using primary data collected from 467 Thai respondents who used digital payment systems as a means of payment in retail purchases. The study data were collected employing a structured questionnaire. Techniques used in data analysis include Confirmatory Factor Analysis and Structural Equation Modeling. The results from the data analysis highlighted that behavioral intention to use digital payment innovation in Thailand was influenced by Perceived Risk (PR), Facilitating Condition (FC), Performance Expectancy (PE), and Attitudes (AT) of people. The study also revealed that exploring the marketing perspectives, Behavioral Intention (BI) significantly influenced the Actual Use (AU) of digital payment systems. The implication is that stakeholders in retail and financial sectors, such as banks and other digital payment providers, should consider aspects of people's attitudes and perceived risk as they influence the use and adoption of innovative digital payment solutions. Thus, it is, appropriate to propose policies and regulations that promote the effective use of digital payment systems in the Thai retail sector.
Citation
Innovative Marketing, 17(3), 109-123, 2021
Subjects

Behavioral intention

Digital payment syste...

Electronic payment

Innovation

Perceived risk

Retail purchases

Metrics
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