This study was conducted to consider the relationship between the transportation export value (TR) and energy consumption of Thailand (EN) in the long run by a comparative analysis that relied on testing by the ARDL and NARDL models. The Granger causality of each item was also tested by quarterly time series data from Quarter 1 of 2011-Quarter 4 of 2021. The results revealed a long relationship from the EN to TR. However, only the reduction of the TR affected the EN. According to the results, the energy agencies of Thailand should maintain the balance of EN and sufficient energy imports to drive the TR for its stability.

In this paper, a new period-based approach is proposed for modeling a capacitated inventory system, operating under an (S,T) policy with backlog. The system experiences stochastic discrete demand and lead time. By using the proposed method, a mathematical model is developed. The model can accurately estimate the inventory system measures of performance: the expected inventory on-hands and over-storage amount. Through a simulation experiment, the new model is compared with two other models, which are developed by using a widely used mean-based approach. The comparison is conducted based on a case study data set. The results demonstrate that the period-based model is superior to the mean-based models with respect to capturing the behaviors of the inventory system. Therefore, better inventory policy parameters can be obtained by employing the new model.

Tourism has become a new way of living with the living standard development. This study analyses the tourism destination centrality and spatial patterns of the tourism system using complex network analysis. An analysis of 245 destinations in the South of Thailand has found that the network has a low network density, large average path length and low clustering coefficient. Some a small number of high-degree destinations connect to each other, while most connect to others with a low degree. The network comprises 18 subnetworks that destinations densely connect to others in the same subnetwork but sparsely connect to others in different ones. Destinations play different roles in the network based on which a centrality measure is used, degree, betweenness and closeness centrality. 31 destinations with high hub and authority centrality are the centers playing as hubs of the network. The study’s findings draw implications for the sector.

The procurement process is part of Purchase to pay (P2P) that consumes huge company costs. There are many procedures that need to be performed related to data. Without digital technology it might cause human error which will lead to issues in higher cost and will create a lot of delay in the procurement process. To improve procurement performance, selecting the right technologies that will create performance impact is quite a challenging task for the company. This study aims to examine the impact of digital technology adoption on procurement performance and to examine the mechanism through which digital technologies impact procurement performance. Target groups are medium and large manufacturing companies in the Eastern economic corridor, Thailand. In research findings, there is data supporting our hypotheses that digital technology adoption in procurement has a positive impact on procurement performance in cost and cycle time reduction. As a result of the moderation effect, reducing human errors, data availability and responsiveness moderated the positive impact between technology adoption and procurement cost reduction. The effect between technology adoption and procurement cycle time reduction has positively been mediated by reducing human errors and data availability. However, responsiveness rejected the hypothesis that mediates the relationship between technology adoption and procurement cycle time reduction.

This research aimed to explore the influences of water tourism demand on tourists' revisit intention. The data were collected by a questionnaire from a sample group of Thai and foreign tourists who used a water transportation service on the Mekong River in Luang Prabang, Lao PDR. The random sampling method was used as a convenience sampling technique by quota sampling and classified by ports that served tourists in the Luang Prabang area. Then, the data were analyzed by confirmatory factor analysis (CFA) using the ADANCO software program to verify the structural validity of the latent variables and analyze the model’s consistency. The study found that factors affecting the demand for water tourism consisted of two components: (1) Tourism factors and (2) water transportation factors on the Mekong River. Considering the factors that affected the demand for water tourism, it was found that the most influential factor was the water transportation of the Mekong River, especially the creation of a service product for tourists with the purpose of leisure and the type of water transportation service. Simultaneously, demand for water tourism was found to be one of the main factors reflecting the influence of tourists' revisit intention, especially water tourism on the Mekong River. According to the study, factors affecting the demand for water tourism in the Luang Prabang area greatly affected the demand for water tourism; in addition, the demand for water tourism affected the tourists' revisit intention as well. Therefore, entrepreneurs in water tourism should pay attention to water transportation, and whether it would be the type or design of the water transportation, standards of the water transportation, security measures, and setting a clear service schedule. etc., so that tourists could make their own travel plans to be more appropriate. Furthermore, the Lao government and the private sector should adopt common and unified policies for developing water tourism and promoting publicity and tourism marketing for the effectiveness of Luang Prabang’s water tourism activities.

This research aimed to 1) investigate the levels of green supply chain management practices (GSCMP), environmental performance (ENP), operational performance (OPP), and organizational performance (ORP) in the context of Thai herb producers; and 2) investigate the interactions between GSCMP, ENP, OPP, and ORP. Quantitative research methodologies were applied in the research. The sample for the quantitative study consisted of 340 Thai herb producers selected by stratified sampling by region. The instruments employed for research were questionnaires. Statistics such as frequency, percentage, mean, standard deviation, confirmatory factor analysis, and structural equation modeling were utilized for quantitative data analysis. Results indicated that GSCMP, ENP, OPP, and ORP levels were high. In addition, GSCMP had direct positive effects on ENP and OPP, as well as indirect positive effects on OPP and ORP, respectively, mediated via ENP and OPP. In addition, ENP had a favorable direct impact on OPP and a positive indirect impact on ORP, with OPP serving as a mediator. Herb producers might use these insights as a roadmap to enhance their organizational performance. In addition, government agencies may utilize the study's findings to establish a strategy for assisting entrepreneurs. In addition, academics and interested parties might bring the research findings to examine and perform more research.

This study aimed to evaluate the impact of variables that affect SME crisis management (CRI), management tools (INT), and contingency leadership (SIT) factors. The data was collected from 405 samples of SMEs in the manufacturing sector in Thailand. According to the results, the variables are related, and the model and hypothesis are aligned. Direct influences that affect SMEs' performance are factors for crisis management and management tools. Contingency leadership was an indirect influence and mediator between crisis management on firm performance. Management tools include the McKinsey 7s, the resource-based view, and value chain management. Crisis management factors include preparation, response, and post-situation rehabilitation. Lastly, the contingency of leadership factors must be considered when evaluating firm performance. It consists of traditional leadership, mindfulness leadership, and resilience leadership.

This research aimed to 1) study the success factors for knowledge management through electronics industry supply chains, and 2) study guidelines and recommendations regarding the success factors for knowledge management through electronics industry supply chains. The study employed the quantitative research methodology. The statistical devices used included frequency, percentage and Structure Equation Modeling (SEM). The population and sample group comprised executives of the electronics industry in the electronics and electrical appliances sector in Thailand. The results revealed that the factors regarding the information technology system, leadership support and knowledge management had positive effects on the success of the knowledge management through electronics industry supply chains with the statistical significance (β) of 0.519, 0.621 and 0.448, respectively. However, the factors regarding human resource management affected the success of the knowledge management negatively at the statistical significance of 0.323. As for the effects of variables on the success of the knowledge management, it was found that the factors with the most positive indirect effects (IE) and total effects (TE) were those regarding 1) leadership support (IE = 0.278, TE = 0.278), 2) information technology system (IE = 0.233, TE = 0.233), and 3) knowledge management, which had a positive direct effect (DE) at 0.448 and a total effect (TE) at 0.448. However, the factors regarding human resource management had a negative indirect effect (IE) on the success of the knowledge management at -0.145.

This research aims to compare the influence of service quality on intention to use broadband internet through attitudes and technology acceptance, as mediator variables between large and small broadband internet service providers (ISPs) in Thailand. A comprehensive review of the literature has modified the development of this behavioral model that explains intention to use of broadband internet. A data set from two groups: large and small broadband ISPs, nationwide survey was conducted in Thailand (n = 928 consumers). The theoretical model was tested using structural equation modeling. The findings show that integrated models have good explanatory power (78.3 percent) to predict customer’s intention to use broadband internet. The results of this study are as follows. Firstly, service quality: tangible, reliability, responsiveness, assurance and empathy, supports second-order factor analysis. Service quality has an influence on attitude, perceived usefulness, perceived ease of use, and intention to use broadband internet both two types of service providers. Secondly, perceived usefulness has a significant effect on attitude, and intention to use only in small companies. Thirdly, attitude, perceived usefulness, and perceived ease of use as mediator variables have a positive effect between service quality and intention to use broadband internet. This study proposes customer acceptance on broadband internet using a modified TAM.to reveal the impact of service quality on intention to use. The results of this study can be replicated and extended to ASEAN countries. The conclusions and implications for management provide alternatives for companies to increase the number of internet users in order to improve overall quality of life.

This paper proposes the cuckoo search (CS), central force optimization (CFO), chemical reaction optimization (CRO) and 3-Opt for solving the capacitated vehicle routing problem (CVRP). HCSCROCFO-3Opt, which is the parallel hybrid algorithm that is proposed, is a form of augmented HCSCROCFO with a local search process founded on CS that utilizes positive aspects of the other optimization approaches including CRO and CFO in order to enhance quality of initial population and improve local search, correspondingly. The work is motivated by the need to enhance the computational effectiveness through attainment of improved outcomes compared to previous popular solutions, to explore the features of different parameters of to seek some ideal solutions. The first stage entails solving of CVRP through setting a variety of values to tune parameters for the HCSCROCFO-3Opt proposed. Then initialization of algorithm CS, CRO, CFO parameters are accomplished through tuning parameters within a tuning cycle. Subsequently, a novel solution is swapped in a random manner through a levy flight within the central loop, followed by execution of the hybrid solution as well as new CRO, CFO and CS algorithm solutions, whose implementation is supposed to enhance results for the local 3-Opt. Ultimately, the most ideal solution for general hybrid model’s solution space is identified, after which the solution that is best-suited for the CVRP purposes is presented. Within the standard CVRP cases, reported computational tests in large scale in the literature demonstrate the efficiency of presented approach.