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Author: search.filters.author.Deebhijarn, SamartSubject: search.filters.subject.Structural equation modeling

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    Factors influencing repurchase intention among foreign medical tourists in Bangkok, Thailand: A structural equation model
    (2020-01-01)
    Wongsawat, Chayapa
    ;
    Deebhijarn, Samart
    Thailand is already a top global medical tourism destination, yet it continues to improve its products and services intended for foreign medical tourists (FMT). Thailand’s 2017–2026 policy, aimed at positioning itself as a world-class medical hub, is geared precisely to ensure that the tourism industry is continually improved and that the FMT are always considered, for example, in terms of their repurchase intention. Repurchase intention is strategic to Thailand: it has implications for the repeat visits among the FMT as well as it is indicative of the industry quality, both of which have far-reaching consequences for the country’s tourist arrivals and revenues. Employing a structural equation modeling, this study demonstrates the effects of five factors, namely, customer expectation, perceived quality, brand experience, perceived value, and customer satisfaction, on repurchase intention among a sample of 600 FMT, who were recruited and interviewed at 16 hospitals in Bangkok. Results indicate that customer satisfaction has the foremost effect on repurchase intention, and followed, albeit with far lesser effects, by customer expectation, brand experience, perceived value, and perceived quality, in that order. In general, the five-factor model was found to have only explained 34.2% of the variance in the repurchase intention among the FMT interviewed. The model is subject to further testing and validation.
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    Intention to purchase electric passenger vehicles among drivers in Thailand: A structural equation modeling analysis
    (2019-01-01)
    Promphat, Santi
    ;
    Deebhijarn, Samart
    Electric passenger vehicles are still in the early stage of research and development in Thailand, but domestic researchers are already keen to know about the variety of factors that would have a potential to influence the intention of Thai drivers to buy the said vehicles. Using structural equation modeling analysis, this study examined the direct and indirect effects of attitude, external environment, marketing mix, subjective norms, and customer perception on purchase intention. Data were obtained from a sample of 650 Thai licensed drivers who were randomly selected and interviewed at 367 car service centers located across Bangkok. Results reveal that 52.3% of the purchase intention of Thai drivers are explained by the five-factor model. However, of the five factors, the most significant is subjective norms, followed by the marketing mix and attitude. Attitude, which lies at the heart of purchase intention, is predicted most significantly by the external environment. The findings suggest that Thailand’s concerted efforts on electric passenger vehicles would have to be carefully designed such that the relevant external environment, subjective norms, marketing mix, and attitude would all be directed to influence the purchase intention of local drivers positively. The model needs further validation among a broader sample of Thai drivers.