This research aims to study the factors influencing customer retention of E-Marketplace businesses by applying the SOR theory and the mediating effect by examining the relationship between value perception, customer engagement, brand loyalty, and customer retention variables by creating a model based on the SOR theory to study the influence of environmental factors that will lead to customer retention mechanisms. The study focused on a sample group of 426 people who have used E-Marketplace services using an online questionnaire as a research tool. The model was analyzed using the CFA and the hypothesis was tested using the SEM analysis. The results showed that stimuli (S), such as customer value perception, had a strong positive influence and a crucial role in the development and creation of a mechanism for assessing individuals' internal feelings (O) on two variables, customer engagement, brand loyalty, and directly influence customer retention. Furthermore, significant evidence also showed that brand loyalty has an important role as a mediator between customer value perception and customer retention, which is the outcome factor (R) of this study. This structural model can explain customer engagement and retention up to 86.50 percent. Therefore, this research has value as a theory and guideline in formulating an operational strategy for E-Marketplace businesses.

A study has been conducted to examine an array of factors such as the factors affecting integrated marketing communication (IMC), entrepreneurship factors, process factors, and basic competitive pressure factors. Based on the perspective of the advertising film production industry, we will examine the service supply chain within the industry. The study is based on the observation and analysis of 310 people working in fields related to the production of advertising films. The research found that all the factors listed above have an immediate impact on the advertising production industry and are significant. There is a strong influence of entrepreneurs on the commercial film production industry.

The research aims to examine the effect of sustainable report disclosure on investor confidence. The conceptual framework comprises 3 dimensions 30 indicators of the conceptual Global Reporting Standard (GRI). The data were collected from the annual report and sustainable report disclosure of energy groups in Thai Listed Companies from 46 companies between 2019 and 2021. The researchers used multiple regression statistics to test hypotheses. The result of the study is obviously seen that the more sustainable report disclosures are produced, the greater investor confidence has increased. With corporate governance score as a mediator variable to support investor confidence, an increase in the disclosure of sustainable report information can be attributed, in part, to factors including the size of the board of directors and the size of independent board of directors. In brief, this research contributes to corporate social responsibility through stakeholder theory, legitimacy theory and signally theory.

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.