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    An Investigation of How Hotel Image, Hotel Service Quality, Guest Loyalty, and Guest Experience Influence Luxury Hotel Guest Revisit intention in Thailand
    (2024-04-05)
    This study examines the factors influencing the likelihood of luxury hotel guests returning for future visits. Drawing from existing literature, the author identified five underlying factors and 18 observable factors, leading to the formulation of nine conceptual hypotheses. The sample consisted of 317 guests from ten 5-star luxury hotels in Thailand. Utilizing structural equation modeling (SEM) with LISREL 9.10, it was determined that all variables in the model positively impacted the intention of luxury hotel guests to revisit, explaining 81% of the variance collectively (R2). Among these factors, hotel image emerged as the most significant predictor, followed by hotel service quality, guest loyalty, and guest experience. Notably, it was observed that there were strong connections between guest experience and service quality, as well as hotel image and service quality. Additionally, eight out of nine hypotheses received empirical support. This study underscores the importance of luxury hotels fostering a workforce aligned with the brand's values, as staff play a pivotal role in influencing guest revisit intentions. These findings hold particular relevance as the tourism and hospitality industry navigates the post-COVID-19 recovery phase.
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    The critical nature of road logistics industry process capability's role in sustainable tourism development
    (2019-01-01)
    Pongpanit, Preechaphol
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    Globally, logistics cost an average of 11% of a country's gross domestic product (GDP). Furthermore, Thailand's 40 million foreign tourists are provisioned by a logistics system which relies on roads 97.68% of the time to deliver nearly half a billion tonnes of goods. However, Thailand has national logistics' cost averaging 14% of its GDP. With Thailand's revenues from logistics reaching $96.5 billion in 2019, the authors saw the importance of undertaking a study to determine how the Thai road logistics industry process capability (PC) is influenced by knowledge absorption capability (KAC), technology capability (TC), product innovation (PI), and service innovation (SI). By use of multi-stage random sampling, a sample of 483 owners, executives, and managers was obtained, whose responses from the seven-level scale questionnaire were analysed using LISREL 9.10 software. From both the initial CFA and final SEM of the eight hypotheses model, all the model's causal variables were found to influence PC positively. This can be explained by 81% of the variance in the Thai road logistics industry PC (R<sup>2</sup>). The causal variables influencing Thai logistics industry PC ranked from highest to lowest were KAC, TC, PI, and SI, with total effect (TE] values at 0.90, 0.81, 0.30 and 0.10, respectively. Therefore, in a smartphone-enabled, Internetconnected, social media world, Thai road service organizations need to marry 'technological innovation' process capabilities to ensure a competitive advantage and survivability. However, the need for a digitally enabled, 21st-century knowledge worker becomes even more crucial, but companies find obtaining these workers a difficult task, with Thai educational systems hard-pressed to deliver them. As a result, Thailand needs to educate and train a new generation of workers in the transportation and logistics sectors.
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    Exploring the Antecedents to Innovation Perfoemance in Thai Information Communication Technology Sems
    (2021-01-01)
    Anuntarumporn, Nuttanai
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    Innovation performance in Information Communication Technology (ICT) firms is the key factor in developing the digital economy that plays a crucial role in enhancing overall economy of the country. Prior studies lack in explaining the intangible resources as an antecedent of IP in the context of Thai ICT Small and Medium Enterprises (SMEs). Therefore, the study set out to investigate how innovative capability (IC), quality management (QM), strategy (ST), and competitive advantage (CA) influenced a Thai ICT SME innovation performance (IP). To achieve the study objectives, the data was collected from 431 managers and entrepreneurs working in Thai ICT SMEs using multiple-stage and simple random sampling. Due to the continuing Covid-19 pandemic, data was collected online using Google Forms. The LISREL 9.1 software program was used to conduct the subsequent goodness-of-fit (GOF) assessment and the confirmatory factor analysis (CFA). A structural equation model (SEM) was used test the hypothesis of the study. The analysis showed that all the model's causal variables positively affected IP. Finally, this study presents various theoretical and practical contributions and study limitations in the concluding section of the study.
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    Antecedents to Thai health food restaurant guest loyalty: A SEM analysis
    (2020-01-01)
    Phadungjit, Sommanasak
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    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.
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    How service quality, guest trust and guest satisfaction affect a five-star hotel's reputation in Thailand
    (2019-01-01)
    Supanun, Kawee
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    Thailand has climbed in the global tourism ranking to the 10th spot, and is now expected to greet up to 40 million foreign guests in 2019. Given this significance, the authors undertook a study to investigate the opinions of 542 five-star rated hotel guests across six provinces and metropolitan areas of Thailand. The LISREL 9.1 software program was used to analyse the guest's opinions on how a Thai five-star hotel's reputation (RP) was affected by service quality (SQ), guest trust (TR), and guest satisfaction (ST). Results from the study's six SEM hypotheses determined that the factors most important were SQ, TR, and ST, with total effect (TE) values of 0.89, 0.71, and 0.60, respectively. Finally, from the study's questionnaire, 15.87% of the guests viewed their relationship status as 'other', suggesting that five-star hotels need to pay close attention to non-traditional travellers and guests. Also, a significant percentage of Chinese and Indian travellers have been reported as booking a Thai four or five-star hotel, so hotel management must be culturally aware of these guest's needs and wants so as to drive sustainable operations.
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    An analysis of online purchase intention of Thai hostel accommodations
    (2019-01-01)
    Wongkhajornpaibul, Kwanchart
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    Thailand's tourism sector has exploded in recent years, with expected international arrivals in 2019 projected at nearly 40 million, making it the 10<sup>th</sup> most popular destination on the planet. Furthermore, due to massive infrastructure expenditures, officials are further projecting 65 million visitors within the next ten years. Therefore, this study's purpose is to propose how these travelers' online purchase intention (PI) is affected by a hostel's website (HW), the accommodation booking website's personality (WP), the travellers' perceived value (PV), and the traveller's satisfaction (CS). From the sample group's 523 guests from 14 hostels, the LISREL 9.1 software program was used to analyze the confirmatory factor analysis (CFA), which was followed by a structural equation model (SEM) of the study's nine hypotheses. Results showed that all the model's causal factors had a positive influence on PI, with the variance of the factors influencing PI (R<sup>2</sup>) being 80%. Ranked in importance, factors affecting PI were WP, CS, PV, and HW, with total effect (TE) values of 0.64, 0.55, 0.54, and 0.29, respectively. The study is a literature study that is novel in that it further explores the esoteric idea of a 'website's personality,' and the subsequent use within a social media world. Furthermore, the sample group in Thailand can help other developing nations better understand how technologies can be blended to gain a better competitive advantage within the tourism sector.
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    Thai gem and jewellery industry business performance: Is continued growth dependent on Tourism?
    (2019-01-01)
    Varasriverachote, Teerapatch
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    Sirijarupat, Prasittisak
    Thailand's gem and jewellery industry is world famous to both the vast assortment of international traders and the 40 million tourists which visit the Kingdom annually. Presently, the sector is third in export value, which in 2018 (including gold) reached nearly $12 billion and employed an estimated 800,000 artisans and craftsmen. Therefore, research was undertaken to determine which variables influenced a Thai gem and jewellery enterprise's business performance (BP). From the five-level questionnaire collected from a sample of 372 entrepreneurs and managers, an initial confirmatory factor analysis (CFA) was conducted on the study's four additional latent variables of firm strategy (FS), product innovation (PI), service innovation (SI), and competitive advantage (CA). LISREL 9.1 was then used to develop a structural equation model (SEM) path analysis. Results revealed that all the causal variables positively influenced BP as the combined variance of influence was 77% (R<sup>2</sup>). Further results showed that the variables having the greatest influence on BP were FS, PI, CA and SI, with total effect values of 0.88, 0.60, 0.16 and 0.02, respectively. There was also an extremely strong interrelationship between FS and PI as r = 1.00, the t-test value = 14.72, and p ≤ 0.01. Personal interviews with industry leaders also noted the importance of the necessity for free-trade agreements, the need for a new generation of trained craftsmen, and the need for continuing Thai government support. Finally, both domestic consumers and foreign tourists are seen as an essential market for future growth.