Sornsaruht, Puris
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Item type:Publication, An analysis of total quality management (TQM) within the thai auto parts sector(2020-01-01); The study intended to investigate the factors that affect the total quality management (TQM) process in the 1,800 firm Thai auto parts industry. Automotive parts export shipments from Thailand are ranked 13th globally and are destined for over 100 countries, with Thailand's combined automotive industry representing 12% of GDP. Therefore, with the authors understanding the importance of this economic sector, a research tool was developed, which contained a five-level scale to investigate 455 auto parts managers, executives, and owners' opinions. Topics surveyed included the respondents' opinions on the effects of knowledge management (KNG), product quality (QLY), strategic planning (STY), and technology and innovation (TIN) on the Thai auto part industry TQM process. The study's eight hypotheses made use LISREL 9.1 software to analyze the final structural equation model (SEM). Results showed that all the model's variables had a positive influence on TQM, which can be combined to explain the variance of the factors affecting TQM (R2) by 78%. Additionally, the variables affecting TQM ranked in importance were STY, KNG, QLY, and TIN. Disruptive change has also arrived within the automotive sector, as Industry 4.0 technologies, the Internet of Things (IoT), and artificial intelligence (AI) are being used in the development of a new generation of autonomous and electric vehicles (EVs), making many current manufacturers' technologies and processes obsolete. Therefore, management and vendors must embrace these changes for their survival. The study's results highlight the necessity for international firms to embrace innovation and technological change to retain a competitive advantage or even their survival. Governments and educational institutions must also go the 'extra mile' to support their domestic automotive and auto parts sectors. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, How brand attitude, brand quality, and brand value affect Thai canned tuna consumer brand loyalty(2021-02-01); As one of the world's most valuable fish, Tuna can either be found in inexpensive tins on grocery store shelves or on high-end auction blocks destined for Japanese sashimi and sushi restaurants. Moreover, Thailand is reported to be the world's largest exporter of prepared or preserved tuna, which in 2019 contributed an estimated $2.5 billion to Thailand's exports. However, brand research is very limited for canned tuna, especially when it comes to product packaging cues, and how packaging affects a consumer's decision-making process. Therefore, this study set out to investigate which factors play the greatest role in a Thai consumer's brand loyalty (BL) for tuna fish canned products. Research teams using systematic random sampling were dispatched to five supermarkets within the Bangkok metropolitan area and collected 400 questionnaires answering items related to brand attitudes (BA), brand quality (BQ), and brand value (BV) as they related to canned tuna brand loyalty (BL). Thereafter, data analysis of the four constructs and 13 observed variables was conducted with use of LISREL 9.1, which included a confirmatory factor analysis (CFA), a goodness-of-fit (GOF) analysis along with the study's structural equation modeling (SEM). Results determined that there was a positive effect (73% R<sup>2</sup>) between all the causal factors on Thai canned tuna BL. Furthermore, the factors affecting BL ranked from the greatest to the lowest were BA, BQ, and BV with total effect (TE) values of 0.85, 0.33, and 0.19, respectively. Key takeaways from the study's research seem to indicate that canned tuna is viewed by most consumers as a ‘commodity’, with product availability and convenience being of the utmost importance in product brand selection. Global fishing stocks sustainability, labor costs/practices, and dolphin free catches within the tuna industry were also determined to be important aspects within the international consumer community. Also, due to the demand for high-quality and safe tuna products, adding value has become increasingly important in satisfying consumer demands and represents an opportunity for marketplace expansion. Brand attitude; Brand quality; Brand value; Food security; Sustainability; Thailand - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Hot, tropical and thirsty: An analysis of bottled water consumer satisfaction in Thailand(2019-01-01); With nearly 40 million foreign tourists per year, Thailand consumes an average of 57.5 gallons of water per capita per year, which makes Thailand the second largest per-person consumer of bottled water in the world. As the global average is only 13.2 gallons per person per year, both tourists and residents have an insatiable thirst for bottled water. Therefore, the authors undertook a study to investigate the factors that influence bottled water consumer satisfaction (CS). Furthermore, an examination of the interrelationships between the variables corporate social responsibility (CSR), brand trust (BT), and brand image (BI) and their effect on CS were also analysed by use of LISREL 9.1 software. Results from the 489 consumer sample group obtained from across five major areas of Thailand, determined that all the model's variables had a positive effect on CS as there was a combined 78% variance of influence on CS. Ranked in importance, factors influencing CS were CSR (TE=0.89), BT (TE=0.68), and BI (TE=0.29), respectively. Furthermore, from the consumers' questionnaire concerning their preference for a bottled water brand (Singha, Crystal, Nestlé, Namthip, and Pepsi's Aquafina), 31.29% indicated a preference for Singha. Additionally, from the results of the analysis on CSR, the authors concluded that was a heightened awareness amongst consumers and travellers about the environment and plastic bottle waste. It was suggested by the authors that bottled water companies need to develop CSR campaigns that are focused on plastic waste reduction and cleanup activities. Additionally, they need to take their efforts 'to the people', and tell each consumer why and how they are contributing to not only Thailand's environmental well-being but the world as well. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Fast-food restaurant customer satisfaction in Thailand: A structural equation model path analysis(2019-01-01); This study explored the theoretical evidence and empirical data of factors influencing fast-food restaurant customer satisfaction (ST) in Thailand. The analysis was conducted on the six hypotheses relationships between ST, marketing communications (MC), brand value (BV), and brand quality (BQ). Initial analysis was conducted with use of confirmatory factor analysis [CFA], followed by a structural equation model [SEM] path analysis using LISREL 9.1 of the study's four latent variables. From the sample of 478 fast food restaurant patrons, the factors determined affecting ST were MC, BV, and BQ, which total effect [TE] values of 0.77, 0.39 and 0.27, respectively. The research also determined that further investigation needs to be undertaken to evaluate the influence of social media within the fast-food restaurant environment. This study is also original and timely as it identified the growing importance of social media tools in the fast-food marketing communications process in Thailand. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Antecedents to Thai health food restaurant guest loyalty: A SEM analysis(2020-01-01); Globally, major shifts are occurring in dietary patterns with numerous studies suggesting that eating healthy food is an ever-growing consumer trend. This study, therefore, investigates the interrelationships and effects of marketing communications (MAR), recognition of value (RV), guest trust (GT), and guest satisfaction (GS) on health food restaurant guest loyalty (GL) in Thailand. LISREL 9.1 was used to conduct both a CFA and SEM analysis of the nine hypotheses from a sample of 484 health food restaurants' guests. Results revealed that the factors affecting GL from highest to lowest, were MAR, GT, GS, and RV, with a total effect (TE) value of 0.92, 0.43, 0.22 and 0.17, respectively. Additionally, the amount of variance that GL shared with the others in the analysis was 84% (R<sup>2</sup>). Furthermore, the authors suggest that MAR is now playing an essential role in the eyes of today's digitally enabled consumer, and that restaurant entrepreneurs need to embrace and understand new social media platforms. Restaurant entrepreneurs must also be aware of quick technological change and the reinvention of the traditional dining experience, which is now forcing change on how the restaurant sector operates. Finally, guest loyalty is of critical importance as numerous studies have concluded that the desired outcome of the marketing process is guest loyalty. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Thai cuisine restaurant performance in the United Kingdom (UK): A SEM analysis(2019-01-01); The United Kingdom's out-of-home (OOH) foodservice industry in 2019 is estimated to be worth over £56 billion, with Thai cuisine restaurants estimated to be over 1,600 in this U.K. service sector. As such, the authors set out to investigate which factors influenced a Thai restaurant's performance (PF) in the United Kingdom. An analysis was conducted on the six hypotheses interrelationships between a Thai cuisine restaurant's food safety and hygiene leadership (RFSHL), service capability (SC), competitive advantage (CA), and performance (PF). Initial analysis was conducted by the use of confirmatory factor analysis [CFA], followed by a structural equation model [SEM] path analysis using LISREL 9.1 of the study's four latent variables. From the audited questionnaire sample of 368 Thai restaurant entrepreneurs and managers, the factors affecting PF were RFSHL, SC, and CA, which total effect [TE] values of 0.77, 0.50 and 0.29, respectively. The results showed that all the model's variables influenced the performance (PF) of Thai restaurants operating in the U.K. as the combined influence of the factors (R2) was 59%. It must be also noted that data suggests that restaurant entrepreneurs must embrace technological change and the use of social media platforms along with smartphones to facilitate the UK consumers shift to convenience, takeaway, and home delivery. There is also the need to market Thai food as a healthy and delicious alternative to other foods and create in-restaurant 'ambiance'.