The objective of this research was to investigate the impacts of the perceived service quality on passengers’ satisfaction towards the service quality of the Nakhon Phanom Municipality, Thailand - Thakhek, Lao People's Democratic Republic ferry. The sample group comprised Thai and Lao passengers who used the ferry’s service. A questionnaire was used to collect data from 505 samples who were selected using the simple random sampling method. The collected data was analyzed using the confirmatory factor analysis (CFA), structural equation model-ling (SEM), and partial least squares (PLS) regression with the ADANCO 2.1.1 software. The results showed that the perceived service quality consisted of tangibles, reliability, responsiveness, assurance, and empathy, which had the same impact with the passengers’ satisfaction towards the service quality. The most influential factors were the tangibles and responsiveness. Therefore, entrepreneurs should priorities the improvement and development of the ferry’s tangibles. Furthermore, the government sector or relevant agencies should promote the implementation of technology into the development in order to fulfill the passengers’ demand and create an impression that would lead to satisfaction and repurchasing.

This study aimed to investigate factors affecting behavioral intention and use behavior of technologies of Thai people under the COVID-19 circumstances. 390 respondents were participated in our survey as sample size for statistical analysis. The authors utilized PLS-SEM assessment for testing the research hypotheses. Descriptive analysis revealed that Thai people in the quarantine period or work from home had suffered from a moderate to high levels of anxiety or stress. This has made Thai people increasingly use online and mobile technology or programs compared to the past. The study revealed four key factors that had significant and positive effects on the intention of users in using online technology including performance expectancy, effort expectancy, trust, and perceived risk. In addition, it indicated that behavioral intention positively affected the actual use behavior of technologies during quarantine time. The authors expect that policymakers or strategists could be used to manage the use of online and mobile technology for people, especially during the tough time.

This research aimed to analyze the influence of the marketing mix on the demand of Thai and foreign tourists along the Mekong Riverside in Nong Khai and Bueng Kan provinces, Thailand that linked to the Lao People's Democratic Republic (Lao PDR), in particular the Vientiane Capital and Bolikhamxay province. Questionnaires were used to collect the data from 410 samples selected by convenience sampling. The data were analyzed via structural equation modeling (SEM) with the WarpPLS 6.0 program. The results showed that the marketing mix comprising product, price, promotion, and process affected the demand of tourists. In consequence, the tourism-related units of Thailand and Lao PDR should focus on a touristic marketing strategy by conserving the standard of the tourist attractions, touristic marketing promotion, and an appropriate price. Moreover, the related stakeholders should become aware of providing services to tourists as means to respond to the demand of Thai and foreign tourists.

Perceived value, E-satisfaction, and E-loyalty are widely discussed in the practitioner literate and considered as critical factors for the success of E-commerce. Those constructs still contribute to the significant impacts on cross-border E-commerce, which is a part of E-commerce. However, Cross-border E-commerce, particularly for Sino-Thai Cross-border E-commerce, as an emerging market, does not draw enough attention from scholars. Hence, the lack of theoretical and empirical researches leads to few or limited support or guide for suppliers and governments to tackle this complex issue. The study aims to develop and empirically examine the interrelationships between Perceived Value (FV, PDV, EV & SV), E-satisfaction, and E-loyalty in Sino-Thai cross border e-commerce based on China’s customers. Meanwhile, it at-tempts to manifest the mediation impacts on the associations between Perceived Value (FV, PDV, EV & SV) and E-loyalty through E-satisfaction. The questionnaire lasted over 3 months in 2019 for data collection and was conducted with 381respondents who had shopping experi-ence in the platforms of Sino-Thai Cross-border E-commerce, by using self-administrated questionnaires. Confirmed factor analysis and structural equational model were performed in Amos 24 to test the hypotheses and analyze the collected data. The empirical findings eluci-date that perceived functional value, procedural value, and social value except for emotional value, significantly and positively impact on e-loyalty through e-satisfaction. Moreover, the findings stress that the full mediating effect of e-satisfaction on the relationships between FV, PDV, SV, and E-loyalty as well. In light of this, the findings of this study make an effort on the development of the model based on those 3 constructs in Cross-border E-commerce and offer strategic insights for the entrepreneurs and governments in this field.

With rapid economy development and increasing social competition, the majority of Chinese people living in the city is suffering from daily work and life stress. Due to the inflexible holiday system, Chinese city people prefer visiting a rural destination around the place where they live, which is identified as restorative environment, with the demand of rest and mental replenishment. In order to investigate how perceived rural destination environment qualities influence visitor’s satisfaction, this empirical study conducted a survey on 258 visitors in two rural destinations in Zhejiang province, China. SEM was utilized to analyze the relationship between variables in the proposed conceptual model and bootstrap estimation was conducted to assess the mediation effect of mental recovery between PDRQs and visitors’ satisfaction in rural destinations. The results indicate: Chinese visitors’ perception of compatibility and fascination significantly and directly influence their satisfaction and the perception of compatibility, mentally away and fascination have indirect influence on visitors’ satisfaction with mediation of mental recovery in rural destinations.

The objective of this research was to study the communication factors affecting the tourism services in Loei, Nong Khai, Bueng Kan, Nakhon Phanom, and Mukdahan provinces of Thai-land. Purposive sampling was applied, and the sample group comprised 300 accommodation business receptionists and package tour sales staff. A questionnaire was used as a tool to collect the data, and exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were utilized to analyze the collected data. The findings indicated that the EFA extracted two factors; namely the channel and receiver, which consisted of five variables, and the message and sender, which consisted of five variables that affected the tourism services. Additionally, the results of the CFA showed that the model was consistent with the empirical data (APC=0.90; Average R2= 0.80; GoF = 0.75). The message and sender affected the tourism ser-vices the most, followed by the channel and receiver. Therefore, the relevant agencies and business owners should pay attention to the tourism personnel in terms of message and sender by promoting training and learning to construct understanding in the sent message, be responsible as the sender, and apply the appropriate strategies to send or present the message to the tourism personnel.

The aim of this research is to examine the effect of human resource management (HRM) practices on employee engagement, and the moderating roles of gender and marital status. The survey was conducted with a total of 457 frontline employees who are working in the Vi-etnamese banking industry. Partial least squares structural equation modeling (PLS-SEM) was estimated using the SmartPLS 3.0 program to examine the hypotheses. The results indicated that HRM practices and its four key dimensions (Training; Reward and recognition, Employee engagement, and Information sharing) positively impacted employee engagement. Moreover, this study provided an empirical evidence about the moderating roles of gender and marital status. It implied that male frontlines employees heightened the positive relationship between HRM practices and employee engagement, but this positive relationship was weakened by married employees. The finding also suggested that bank managers should develop a suitable HRM practices to reinforce employee engagement.

We propose and develop a new G-optimality criterion using the concept of weighted optimality criteria and certain additional generalizations. The goal of the weighted G-optimality is to minimize a weighted average of the maximum scaled prediction variance in the design region over a set of reduced models. A genetic algorithm (GA) is used for generating the weighted G-optimal exact designs in an experimental region for mixtures. The performance of the proposed GA designs is evaluated and compared to the performance of the designs produced by our genetic algorithm and the PROC OPTEX exchange algorithm of SAS/QC. The evaluation demonstrates the advantages of GA designs over the designs generated using exchange algorithm, showing that the proposed GA designs have better model-robust properties and perform better than the designs generated by the PROC OPTEX exchange algorithm.

This paper proposes a new hybrid algorithm to solve the multi-compartment vehicle routing problem (MCVRP) with a heterogeneous fleet of vehicles for the fuel delivery problem of a previous study of twenty petrol stations in northeastern Thailand. The proposed heuristic is called the Fisher and Jaikumar Algorithm with Adaptive Large Neighborhood Search (FJA-ALNS algorithm). The objective of this case is to minimize the total distance, while using a minimum number of multi-compartment vehicles. In the first phase, we used the FJA to solve the MCVRP for the fuel delivery problem. The results from solving the FJA were utilized to be the initial solutions in the second phase. In the second phase, a hybrid algorithm, namely the FJA-ALNS algorithm, has been developed to improve the initial solutions of the individual FJA. The results from the FJA-ALNS algorithm are compared with the exact method (LINGO software), individual FJA and individual ALNS. For small-sized problems (N=5), the results of the proposed FJA-ALNS and all methods provided no different results from the global optimal solution, but the proposed FJA-ALNS algorithm required less computational time. For larger-sized problems, LINGO software could not find the optimal solution within the limited period of computational time, while the FJA-ALNS algorithm provided better results with much less computational time. In solving the four numerical examples using the FJA-ALNS algorithm, the result shows that the proposed FJA-ALNS algorithm is effective for solving the MCVRP in this case. Undoubtedly, future work can apply the proposed FJA-ALNS algorithm to other practical cases and other variants of the VRP in real-world situations.

The objective of the current study is to examine the role of Industry 4.0 in supply chain sustainability (SCS). To examine the effect of Industry 4.0 on SCS, the big data technology is considered. As the supply chain process requires a significant data handling system among the companies, however, companies are lacking in this area. Therefore, the relationship between data storage, data transformation, data utilization, order management and SCS were examined. Data was collected from the rubber industry. For the purpose of data collection, questionnaires were used, and data were collected from the rubber companies of Indonesia. Results of this study shows that Industry 4.0 has a vital role in SCS. Implementation of Industry 4.0 among the rubber companies shows a positive effect on SCS. Particularly, the applications of big data technology have a vital role in order management and SCS. Big data technology has a significant positive effect on SCS. Big data technology has a positive role to promote order management which further influences positively on SCS.