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Sustainability of Rubber Farmers Cooperatives: Empirical Evaluation of Determining Factors
(2022-01-01)
Nuanphromsakul, Kajohnjak
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Szczepańska-Woszczyna, Katarzyna
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Kot, Sebastian
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Chaveesuk, Singha
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Chaiyasoonthorn, Wornchanok
The study investigated the factors that influence rubber farmers' cooperatives from the perspective of sustainability in Thailand. The research adopted a quantitative survey methodology with data purposively collected from 434 Thai rubber farmer groups. The variables included trust, sustainability, perceived value, satisfaction, loyalty, and brand image. The model was evaluated using Confirmatory Factor Analysis (CFA), while Structural Equation Modeling (SEM) was used to assess the hypotheses. The results indicated that the sustainability of the rubber farmers' cooperatives as a corporate entity is influenced by brand image, loyalty, and satisfaction. Trust was also found to have a significant effect on the satisfaction and loyalty of the rubber farmers' cooperatives. The research recommended that to enhance the sustainability of the rubber farmers' cooperative's brand image, loyalty, and satisfaction should be improved. The research's drawback is that it only looked at the rubber farmer cooperatives of Thailand as a corporation, and therefore, these factors should be taken into account when applying these results outside of this scope.
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Factors influencing repurchase intention among foreign medical tourists in Bangkok, Thailand: A structural equation model
(2020-01-01)
Wongsawat, Chayapa
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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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Modeling user perception of bus service quality: A case study in mauritius
(2020-01-01)
Champahom, Thanapong
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Jomnonkwao, Sajjakaj
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Karoonsoontawong, Ampol
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Hantanong, Natthaporn
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Beeharry, Roodheer
This paper evaluates the perceived bus service quality by passengers in Mauritius. Structural equation modeling (SEM) was used to identify the unobserved latent variables relevant to public passenger bus service and reveal the relationships between these latent variables and customer satisfaction. The data were obtained from a customer satisfaction survey collected from 501 participants in Mauritius and three latent variables that described the expected service quality characteristics, namely Vehicle, Management, and Driver. The SEM results revealed that the most significant expectation was the quality of the vehicle that included the cleanliness and vehicle body. The second was driver and crews and the personal attributes of the bus service crew. The third anticipation was the overall management of the service. The findings of this research can provide crucial information for public transport bus operators to enable them not only to retain their current customers but also attract new customers.
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Intention to purchase electric passenger vehicles among drivers in Thailand: A structural equation modeling analysis
(2019-01-01)
Promphat, Santi
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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.
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Developing Reverse Logistics Practices Solutions Model Using Structural Equation Modeling
(2018-07-02)
Sirisawat, Pornwasil
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Kiatcharoenpol, Tossapol
Reverse logistics (RL) become one of the key strategy of supply chain management in the present which focus on reducing environmental impacts and also recapturing value from end of life products/return products from point of consumption to create more profits to the businesses. Many companies try to apply the concept of RL to improve the efficiency of supply chain management and response to demand changing of the customers which more focus on the environmental friendly products. However, the companies still faced some barriers from RL practices implementation. Therefore, the objectives of this study aim investigate the RL practices solutions of Thai's electronics industry by using structural equation modeling (SEM) which exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to examine the proposed model.
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The radical innovation affecting competitive advantage of the Thai furniture industry
(2017-09-01)
Tangkit, Kitipong
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Panjakajornsak, Vinai
Radical innovation has been considered as a main source of competitive advantage for Thai furniture industry which is the important industrial sector that needs creative ideas, skills to increase value added and industrial value. Innovative capability of firms in this industry is also required in order to enable them to survive and prosper in face of increasing both local and foreign competitors. This research aims to develop a structural model of radical innovation and the relevant factors of market orientation, organizational learning, and entrepreneurial orientation affecting competitive advantage of firms in the furniture industry. The populations of this study are the top executives and marketing managers of 4,118 firms in the furniture industry. The research methodologies applied are both in-depth interviews and 7-point Likert scale questionnaires. The result from value of this research will be a structural model of innovation that can be applied to improve competitive advantage of firms in the furniture industry.
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Effect of Sustainable Infrastructure Assessments on Construction Project Success Using Structural Equation Modeling
(2017-05-01)
Krajangsri, Thanachon
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Pongpeng, Jakrapong
Sustainable infrastructure assessments can be used by the construction industry to develop sustainable infrastructure projects and achieve successful construction projects. However, the effect of sustainable infrastructure assessments on the success of construction projects has not been examined in previous studies, based on the authors' knowledge; therefore, this study examined this effect. A questionnaire was used to collect data on the importance of a range of criteria used to evaluate sustainable infrastructure assessments and construction project success. The data were then analyzed using structural equation modeling (SEM) to validate a structural model used to determine the effect of sustainable infrastructure assessments. The final SEM model shows the following: (1) sustainable infrastructure assessments can be described by eight criteria (i.e., environmental impacts on surrounding areas, transport, community, energy and water, location, project management, waste management, and materials and resources); (2) construction project success can be described by six criteria (i.e., environment, quality, safety, time, cost, and client satisfaction); and (3) sustainable infrastructure assessments directly affect construction project success (regression weight of 0.83). The results of this research inform how sustainable infrastructure assessments affect construction project success and could be used as a guideline for developing sustainable infrastructure projects.
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How organizational characteristics and employee involvement affect quality management practices in the Thai food industry
(2014-01-01)
Krommuang, Apiwat
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Suwunnamek, Opal
Quality management practices can help an organization thrive in an increasingly competitive global market. Based on a comprehensive literature review, this study identifies organizational characteristics that encourage employee involvement and improve quality management practices. The sample group was comprised of 271 people representing middle management in Thailand's food industry. The variables of employee involvement were intervening latent variables in the relationship. Structural Equation Modeling (SEM) was used to analyse the results which showed that fewer hierarchies of command and decentralized decision making power had a significantly positive affect on quality management practices in organizations. © 2014 Academic Journals Inc.

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