Browsing by Author "Tan N-L"

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    Consumer usage intention of electronic wallets during the COVID-19 pandemic in Malaysia
    (Taylor and Francis Group, 3/04/2022) Adedapo Oluwaseyi O; Olawole F; Oluwayomi Toyin O; Chris A; Tan N-L
    An electronic wallet (e-wallet) is the digital equivalent of a physical wallet that can support cashless and contactless payment, thereby enabling consumers’ to meet the physical contact restrictions imposed to contain the spread of COVID-19. Hence, consistent with the increasing awareness of e-wallets, this study investigates consumers’ intention to use e-wallets. Drawing on the motivation-ability-opportunity (MAO) framework, we investigated the factors of consumers’ usage intention of e-wallets. The hypothesized model was tested using the survey data collected from 226 respondents in Malaysia. The results of partial modelling analysis of 226 respondents affirmed the significance of perceived COVID-19 risk, perceived government support, and facilitating conditions in influencing usage intention. However, effort expectancy was not a significant predictor. As hypothesized, facilitating conditions moderated the effects of effort expectancy and perceived government support on usage intention, but not that of perceived COVID-19 risk. Our findings demonstrated that motivation in terms of health risk avoidance and government incentives and opportunity in the form of facilitating conditions play significant roles in influencing the usage intention of e-wallets.
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    Influence of investment experience and demographic factors on retirement planning intention
    (Canadian Center of Science and Education, 31/01/2011) Ng TH; Tay WY; Tan CN-L; Lim YS; Tan N-L
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    Toward an integrated framework for examining the addictive use of smartphones among young adults
    (Wolters Kluwer Medknow Publications, 2023-09-18) Tan N-L
    Introduction: Despite the growing concern over addictive smartphone use among young adults, there is a lack of understanding of the specific mechanisms underlying this phenomenon. This study aims to fill this gap by integrating the stimulus‑organism‑response–cognitive‑adaptive‑normative model to examine the drivers of habitual smartphone behavior and addictive use and the role of habitual behavior as a mediator. Methods: A quantitative method employing a purposive sampling technique was used to collect self‑administered online questionnaires between May and August 2016 from 705 young adults (aged 17–30 years) in Malaysia. Partial least squares structural equation modeling was used. Results: Convenience (β =0.256, t = 5.993, P < 0.001), social needs (β =0.349, t = 8.661, P < 0.001), and social influence (β =0.108, t = 3.108, P < 0.01) are positively associated with habitual behavior. However, convenience (β =0.041, t = 0.997) and social needs (β = −0.027, t = 0.682) are not associated with addictive use, even though social influence (β =0.195, t = 5.116, P < 0.001) did significantly influenced addictive use. Furthermore, habitual behavior is an extremely strong determinant of addictive use (β =0.505, t = 13.837, P < 0.001). The results also indicated that habitual behavior partially mediated the relationship between the drivers and addictive use. Conclusion: This study emphasizes the importance of the drivers (i.e., convenience, social needs, and social influence) in shaping habitual behavior and addictive use so that policies can promote responsible and healthy smartphone use among young adults.