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Author: search.filters.author.Chaveesuk, SinghaSubject: search.filters.subject.Behavioral intention

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    A Conceptual Framework for Mobile FinTech Adoption: Integrating TAM-TPB with Technology Readiness Index
    (2026-01-01)
    Wang, Wei
    ;
    Kasemwattanasuk, Thannaphat
    ;
    Chaveesuk, Singha
    ;
    Rojniruttikul, Nuttawut
    This study proposes a conceptual framework to examine the adoption of mobile financial technology (FinTech) by integrating the Technology Readiness Index (TRI) with a combined Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB). The framework investigates how technology readiness dimensions, which are optimism, innovativeness, discomfort, and insecurity, influence users’ perceptions of mobile FinTech in terms of perceived usefulness and perceived ease of use. These perceptions subsequently shape users’ attitudes toward using mobile FinTech, which, together with subjective norms and perceived behavioral control, drive the behavioral intention to adopt the technology. A quantitative survey will be conducted and analyzed using Structural Equation Modeling to evaluate how factors influence behavioral intention to adopt mobile financial technology within the integrated TAM, TPB, and TRI framework. Through this integrated approach, the study aims to provide empirical insights that underpin mobile FinTech adoption, enabling service providers and policymakers to design more effective strategies to enhance user acceptance and utilization of mobile FinTech services.
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    Digital payment system innovations: A marketing perspective on intention and actual use in the retail sector
    (2021-09-01)
    Chaveesuk, Singha
    ;
    Khalid, Bilal
    ;
    Chaiyasoonthorn, Wornchanok
    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.