Journal of the Association of Researchers

Research on the Heterogeneity of Project-Based Teaching Effectiveness in Higher Vocational Colleges in Henan Province, China

Guoqiang Li, Sobsun Mahaniyom — Thu, 16 Apr 2026 00:00:00 +0700

This study examined the implementation effectiveness of Project-Based Learning (PBLE) in higher vocational education using a structural equation modeling (SEM) approach, with emphasis on differences between teachers’ and students’ perceptions. A quantitative cross-sectional survey was conducted among teachers and students from higher vocational colleges in Henan Province, China. PBLE was conceptualized as a multidimensional construct consisting of Project Task Completion, Team Collaboration Ability, Teacher Guidance Effectiveness, Project Authenticity, Self-Efficacy, and Transferable Professional Competency. The results indicated that PBLE was implemented at a moderate to high level, though significant heterogeneity existed across groups. Project Task Completion and Team Collaboration Ability emerged as strengths, while Project Authenticity and Transferable Professional Competency showed weaker effects. The findings highlight the context-dependent nature of PBLE and emphasize the importance of authentic projects and teacher professional development.

A Study on Improving the Quality of College Chinese Teaching in Higher Vocational College in China: A Case Study of Southwest China

Zhu Lili, Sranya Saengamporn, Piyapun Santaweesuk — Thu, 16 Apr 2026 00:00:00 +0700

This study aimed to examine the influencing factors of classroom teaching quality in College Chinese courses offered in higher vocational colleges in Chengdu, China, and to identify key approaches for quality improvement. A quantitative research design was employed using a questionnaire survey administered to vocational college students. Structural Equation Modeling (SEM) was applied to analyze the relationships among institutional factors, teacher-related factors, instructional factors, learner-related factors, and classroom teaching quality.

The results reveal that classroom teaching quality is significantly influenced by multiple dimensions. Instructional factors, particularly teaching methodologies and teacher–student interaction, exert the strongest effect on teaching quality, followed by teacher-related factors, learner-related factors, and institutional factors. The proposed model explains a substantial proportion of variance in classroom teaching quality, indicating strong explanatory power.

These findings highlight the necessity of a systematic and integrated approach to improving College Chinese classroom teaching quality in higher vocational education and provide empirical evidence to support curriculum reform, teacher professional development, and institutional quality enhancement.

Nanjing College's Development and Innovation in Digital Education Under the Strong National Strategy of Innovation and Technology

Ge Wu, Sranya Saengamporn, Piyapun Santaweesuk — Thu, 16 Apr 2026 00:00:00 +0700

This study aims to examine the mechanisms influencing digital education innovation in higher education institutions within the regional innovation system of Nanjing, China. It focuses on identifying key factors and analyzing the relationships among motivation mechanisms, operational logic, resource matching, and innovation outcomes based on the Triple Helix and Regional Innovation System perspectives.

A quantitative research design was employed. Data were collected from administrators and faculty members involved in digital education initiatives, and analyzed using Structural Equation Modeling (SEM).

The results indicate that both motivation mechanisms and operational logic have significant positive effects on digital education innovation, with operational logic exerting the strongest influence. Additionally, resource matching fully mediates the relationship between digital education development and innovation outcomes, suggesting that digital initiatives contribute to innovation only when strategic objectives, human capital, financial resources, and technological infrastructure are properly aligned. The model explains 38.2% of the variance in innovation outcomes.

The findings highlight the importance of effective governance, collaborative processes, and strategic resource alignment in promoting sustainable digital education innovation in regional higher education institutions.

The Impact of the Climate Concern Index (CCI), CBOE Volatility Index, and Macroeconomic Factors on the Total Return Index of Technology Stocks of the Stock Exchanges in Thailand and Malaysia

Suwimon Kamthong, Massaporn Cheuathonghua — Fri, 22 May 2026 00:00:00 +0700

This Research Article study investigates the influence of the Climate Concern Index (CCI), CBOE Volatility Index (VIX), and macroeconomic factors including trading volume, NASDAQ Composite Index, West Texas Intermediate (WTI) crude oil prices, and exchange rates, on the total return index of the technology sector in Thailand (SETTECH TRI) and Malaysia (KLCITECH TRI). Using time-series data, the study applies multiple linear regression with Newey–West standard errors to mitigate heteroskedasticity and autocorrelation commonly found in time-series models. The results of Thailand demonstrate that CCI and THB/USD exchange rate significantly and negatively affects SETTECH TRI while VIX significantly and positively affects SETTECH TRI. trading volume, NASDAQ Composite Index, and WTI crude oil prices show no significant correlation. Moreover, for Malaysia, trading volume, WTI crude oil prices and the MYR/USD exchange rate significantly and positively affects KLCITECH TRI whereas CCI and NASDAQ shows no significant relationship. These findings suggest that the determinants of technology stock returns differ between the two countries, reflecting distinct market structures, investor behaviors, and macroeconomic linkages that investors can apply this empirical evidence for appropriate investment strategies.

The Influence of the Global Supply Chain Pressure Index, Industry-Specific Factors, and Financial Factors on the Total Return Indices of Electronic Components Industry in the Stock Exchanges of Thailand, Taiwan, and the United States.

Alisa Rattirom, Massaporn Cheuathonghua — Fri, 22 May 2026 00:00:00 +0700

This Research Article had aims to investigate the influence of the Global Supply Chain Pressure Index (GSCPI), industry-specific factors, and financial factors on the Total Return Index of the electronic components sector in the stock markets of Thailand, Taiwan, and the United States. The study utilizes monthly time-series secondary data covering the period from June 2011 to September 2025, totaling 172 months and uses Multiple Linear Regression with Newey-West standard errors in the analysis. The statistically significant findings are as follows: (1) The Global Supply Chain Pressure Index exhibits a negative relationship with the Total Return Index of the electronic components sector in Taiwan and the United States. (2) Global semiconductor sales show a negative relationship with the Total Return Index of Taiwan's electronic components sector. (3) The Producer Price Index for the semiconductor industry demonstrates a positive relationship with the Total Return Index of Thailand's electronic components sector. (4) The Stock Exchange of Thailand (SET) Index has a positive relationship with the Total Return Index of Thailand's electronic components sector; the Taiwan Capitalization Weighted Stock Index (TAIEX) shows a positive relationship with the Total Return Index of Taiwan's electronic components sector whereas the NASDAQ Composite Index exhibits a negative relationship with the Total Return Index of the US electronic components sector. (5) The Volatility Index demonstrates a positive relationship with the Total Return Index of the electronic components sector in Taiwan and the United States. (6) The US Dollar Index shows a negative relationship with the Total Return Index of Thailand's electronic components sector, but a positive relationship with those of Taiwan and the United States.

Development Model of Entrepreneurial Employment in Higher Education of Southwest China

Zan Jia, Sranya Saengamporn, Piyapun Santaveesuk — Wed, 03 Jun 2026 00:00:00 +0700

This study investigates the effects of entrepreneurial and employment education in higher education on students’ employment competitiveness in Southwest China, with particular attention to the mediating role of self-efficacy and the moderating roles of career planning ability and innovation ability. A quantitative research design was employed, and data were collected from 400 undergraduate students using a structured questionnaire. Structural Equation Modeling (SEM) was applied to test the proposed research framework.

The results indicate that entrepreneurial and employment education has a significant positive effect on employment competitiveness (β = 0.173, p < .001). In addition, entrepreneurial and employment education significantly enhances students’ self-efficacy (β = 0.490, p = .008), which in turn positively influences employment competitiveness (β = 0.132, p < .001). Mediation analysis using the bootstrapping method confirms that self-efficacy partially mediates the relationship between entrepreneurial and employment education and employment competitiveness (indirect effect β = 0.0007, p = .018). Furthermore, career planning ability and innovation ability significantly moderate the relationship between self-efficacy and employment competitiveness (p < .05).

The structural model explains 38.2% of the variance in employment competitiveness (R² = 0.382), indicating satisfactory explanatory power. These findings highlight the importance of integrating psychological development, career planning, and innovation-oriented learning into entrepreneurial employment education. The study contributes empirical evidence on the internal mechanisms linking educational practices and employment outcomes and provides practical implications for higher education reform in less-developed regions.

Cultural Narratives on the Plate: A Semiotic Study of Food Design in Chinese and Thai Cross-Cultural Experiences

Senmeng Gao, Supath Kookiattikoon — Mon, 15 Jun 2026 00:00:00 +0700

This study aims to examine cross-cultural food experiences by exploring how food design reflects cultural influence, shapes consumer preferences, and functions as a medium for cross-cultural communication. Specifically, the research investigates the role of cultural values in shaping food design practices in Chinese and Thai contexts, analyzes audience responses to food design elements, and examines how food design facilitates intercultural understanding.

A qualitative research approach was employed using comparative content analysis of selected Chinese and Thai food vlog materials. Video cases representing diverse food environments, including traditional markets, Chinatown settings, night markets, and street food contexts, were purposively selected. Audience interactions were further examined through viewer comments to understand how meanings are interpreted and negotiated in cross-cultural encounters. The data were analyzed using thematic analysis to identify patterns related to sensory presentation, cultural symbolism, and mediated engagement.

The findings reveal that cross-cultural food experience is a dynamic process shaped by the interaction of cultural narratives, sensory design, and social interpretation. Cultural values influence food design through symbolic and experiential elements, while consumer preferences are negotiated through emotional responses such as curiosity and trust. Food design also functions as a communicative interface that bridges cultural differences through sensory engagement and narrative framing.

Development Model of Digital Economy for Employment in Higher Vocational Graduates in Guangxi Province

Lijin Huang, Sranya Saengamporn, Piyapun Saentaweesuk — Mon, 15 Jun 2026 00:00:00 +0700

The rapid development of the digital economy has significantly reshaped labor market structures and increased the demand for digital competencies and adaptive capabilities among vocational graduates. This study aims to (1) examine the current situation of digital economy employment among higher vocational graduates in Guangxi, (2) develop a digital economy employment development model for higher vocational graduates in Guangxi, and (3) evaluate the effectiveness of the proposed model. A mixed-method research design was employed. Quantitative data were collected from 400 higher vocational graduates via a structured questionnaire and analyzed using descriptive statistics and structural equation modeling (SEM). In addition, expert consultation using the Delphi technique was conducted to evaluate the proposed model.

The results indicate that digital economy development, talent cultivation quality, human capital foundation, and employment environment significantly influence employment development through mediating variables, including digital skills, employment adaptability, and career cognition. The structural equation modeling results demonstrate that the proposed model has a good fit with the empirical data (χ²/df = 2.31, RMSEA = 0.054, CFI = 0.94, TLI = 0.92). Among the mediating variables, digital skills show the strongest effect on employment development (β = 0.47), followed by employment adaptability (β = 0.39) and career cognition (β = 0.31). The findings also indicate that regional contextual factors such as regional economic level, digital infrastructure, and industrial structure strengthen the relationship between graduate competencies and employment outcomes.

The study contributes to the literature by proposing an integrated framework that links educational conditions, capability development, and regional contextual factors to employment outcomes in the digital economy. The findings provide practical implications for improving vocational education systems and enhancing graduate employability in digital economy environments.

Factors Affecting the Customers Loyalty of Controlled Goods Logistics Systems in the Eastern Economic Corridor (EEC)

Luksanawan Hemuppathum, Suramon Chancharoen — Mon, 15 Jun 2026 00:00:00 +0700

This research aimed to 1) study the level of service quality and loyalty of users of the controlled goods logistics system and 2) study the factors affecting the loyalty of users of the controlled goods logistics system in the Eastern Economic Corridor. The research methodology was quantitative. The sample consisted of 400 entrepreneurs who used the controlled freight transport system in the Eastern Economic Corridor (EEC). The instrument was a rating scale questionnaire. The data were analyzed by finding percentages, means, standard deviations, and multiple regression analysis. The research results found that respondents were between 41-50 years old and working in medium-sized businesses. Overall, the quality of service and loyalty of users of the controlled goods logistics system were at a high level. The results of the research hypothesis testing found that service quality, including customer responsiveness, reliability, and building customer confidence, significantly affect the loyalty of users of the controlled goods logistics system in the Eastern Economic Corridor at the .01 level.

Development of Red Palm Weevil Breeding Model with Participation of Stakeholders in Ratchaburi Province

Ploypatcha Rakyangderm, Nirun Yingyuad, Rungtip Masmeatathip — Mon, 15 Jun 2026 00:00:00 +0700

This research article aimed to 1) study the situation of coconut weevil farming in Ratchaburi province, 2) develop a participatory model for coconut weevil farming involving stakeholders in Ratchaburi province, and 3) study the level of satisfaction regarding the participatory model for coconut weevil farming among stakeholders in Ratchaburi province. Qualitative data was collected through interviews and focus group discussions with 16 key informants, consisting of farmers and agricultural extension officers. Quantitative data was collected using questionnaires from three stakeholder groups selected using purposive sampling: 10 coconut weevil farmers, 360 fragrant coconut farmers, and 50 agricultural extension officers. Quantitative data were analyzed using descriptive statistics, including percentages, means, and standard deviations, while qualitative data were analyzed using content analysis.

The research findings indicated that 1) the situation of coconut weevil farming in Ratchaburi province has declined, and there is a lack of government support due to the coconut weevil being a significant pest of fragrant coconut cultivation, 2) the development of a model by establishing five standard criteria for coconut weevil farming, including farm composition, was successful. In terms of farm management, health, environment, and data recording, and 3) stakeholders, coconut weevil farmers and agricultural extension officers expressed the highest overall satisfaction with the coconut weevil farming standard criteria, while fragrant coconut farmers expressed a high level of satisfaction with the standard criteria.

The Achievements of Online Learning Media, Line Chatbot on Communicable and Non-Communicable Diseases in Grade 9 Health Education

Natthapas Promma — Mon, 15 Jun 2026 00:00:00 +0700

The research on the academic achievement from using the online learning media Line Chatbot (Line Chatbot) in health education, the topic of communicable and non-communicable diseases, Mathayom 3 level, at The Demonstration School of Ramkhamhaeng University is experimental research. The objectives are 1) to study the development of learning through the automatic system Line Chatbot (Line Chatbot) in health education, the topic of communicable and non-communicable diseases; 2) to compare the academic achievement before and after studying; and 3) to study the satisfaction of students towards learning through the automatic system Line Chatbot (Line Chatbot) in health education, the topic of communicable and non-communicable diseases. The research population is 288 students, with a sample of 54 people. The research instruments are 1) to analyze the efficiency of using the online learning media Line Chatbot (Line Chatbot), 2) to analyze the comparative academic achievement of students before and after studying from using the online learning media Line Chatbot (Line Chatbot), and 3) to analyze the satisfaction of students in studying health education. The statistics used in data analysis are mean, standard deviation, and t-test. The research results found that 1) the online learning media chatbot (Line Chatbot) health education subject, the topic of communicable and non-communicable diseases, the field trial phase, the number of students (30), and the overall efficiency of the process (E1) and the efficiency of the results (E2) equal 80.73/81.80. 2) Academic achievement by using online learning media chatbot (Line Chatbot) for the Health education subject, the topic of communicable and non-communicable diseases, found that the achievement after learning was significantly higher than the achievement before learning at the statistical level of .05. 3) Students are satisfied with the online learning media chatbot (Line Chatbot) at a high level.

The Impact of Knowledge Transmission Quality in Tourism Live Streaming E-commerce on Consumers' Purchase Intentions in Hainan Province, China

Lingyu Li, Nontavat Siangchokyoo, Thaunjai Sangthong — Sat, 20 Jun 2026 00:00:00 +0700

This research article aims to examine the key factors influencing consumers’ purchase intentions and to construct a conceptual model of live streaming e-commerce within the tourism industry of Hainan Province, using a quantitative research design. Using convenience sampling, 450 valid responses were obtained from consumers in Hainan Province who had engaged with tourism-related live streaming e-commerce for at least six months. Data were analyzed using structural equation modeling. The findings indicate that: 1) Knowledge transmission quality has a significant direct positive effect on purchase intentions, with beta equal to 0.145. Consumer perception has a significant direct positive effect, with beta equal to 0.416. Live streamer professionalism has a significant direct positive effect, with beta equal to 0.336. Consumer perception fully mediates the relationship between knowledge transmission quality and purchase intentions, with an indirect effect equal to 0.270 and a 95 percent confidence interval from 0.218 to 0.325. Live streamer professionalism also fully mediates this relationship, with an indirect effect equal to 0.222 and a 95 percent confidence interval from 0.169 to 0.278. Among the sub-dimensions, completeness, perceived trust, and professional knowledge are the most influential. 2) A conceptual model of live-streaming e-commerce and purchase intentions is proposed. Extending the Stimulus Organism Response framework, known as SOR, the model positions knowledge transmission quality as the stimulus, consumer perception and live streamer professionalism as organism mechanisms, and purchase intentions as the response. The model enriches theory and provides managerial guidance for strengthening engagement strategies in Hainan’s tourism live commerce sector.

Influence of Internet Celebrity Live Streaming on Consumer Purchase Decision: Mediating Role of Consumer Immersion

Sun Xinghua, Thanasuwit Tabhiranrak, Pramsuk Huanprapai, Mutita Thaveekranthuy — Sun, 21 Jun 2026 00:00:00 +0700

This Research article purpose. The aim of this study is to investigate the influence mechanism of internet celebrity live streaming on consumer purchase decision through consumer immersion. Design/methodology/approach. A survey was conducted on 450 volunteers participating in online live shopping in Beijing city. We constructed a structural equation model using AMOS and analyzed the direct and indirect relationships research findings are presented using descriptive statistics. The research results found that internet celebrity live streaming has a significant impact on consumer purchase decision; Consumer immersion plays a significant mediating role between internet celebrity live streaming and consumer purchase decision. Research limitations/implications. The mediated effect provides various theoretical significance for the direct and indirect impact on the consumer purchase decision. Practical implications. From the perspective of revealing the influencing factors of consumer purchase decision, the mechanism of how immersion affects consumer purchase decision has been identified. Originality/value –The innovation of this study lies in identifying the mediating variables that influence consumer purchase decision through internet celebrity live streaming, and constructing a mediating model for consumer purchase decision. Knowledge form Research. This study redefines live-streaming commerce as a neurobehavioral ecosystem where influencer utility, platform features, and consumer collective psychological states evolve together using immersion as the primary mechanism. This framework describes everything from impulsive buying behavior to well-planned luxury purchases, providing a key framework for regulating human-centric platforms in the Attention Economy. Suggestions Immersion Management: Since focus is the primary mechanism (Linchpin Mechanism) linking emotions and decision-making, design interactive content: Use features that immediately stimulate engagement, such as live polls, short random prize games, or scene changes based on viewer requests, to keep the brain in a state of high focus. Reduce cognitive friction: Make the process from watching the live stream to payment as seamless as possible to maintain uninterrupted focus.

An Application of Machine Learning Using Logistic Regression to Support Risk-Based Prioritization of Duty Drawback Claims under Section 29 of the Customs Act B.E. 2560 (2017)

Jirapaul Thaweethanawanij — Fri, 26 Jun 2026 00:00:00 +0700

Duty drawback under Section 29 of the Customs Act B.E. 2560 (2017) is a key legal mechanism supporting national export competitiveness. However, in practice, customs authorities continue to face challenges arising from the increasing volume of drawback claims, data complexity, and limited human resources, which affect the efficiency and effectiveness of claim examination. This research aims to apply machine learning using a Logistic Regression model to support risk-based prioritization of duty drawback claims under Section 29, with the objective of enhancing risk management and decision support for customs officers. This study adopts a mixed methods research approach. Quantitative data were obtained from the information systems of Customs Department responsible for duty drawback administration, which constituted the research population, while selected samples were used for model development and evaluation. Qualitative data were derived from the analysis of legal documents, risk management frameworks, and relevant academic literature. The primary research instrument was a machine learning classification model based on Logistic Regression, developed to classify duty drawback claims into different risk levels.
Data collection was conducted through the extraction of administrative records from Customs Information Systems (CIS) and systematic document analysis. Statistical techniques employed in data analysis included descriptive statistics and performance evaluation metrics for classification models. The key findings indicate that the Logistic Regression model
can systematically support the prioritization of duty drawback claims by risk level,
enabling officers to focus their examination efforts on high-risk claims more effectively. The results demonstrate the potential of machine learning as a transparent and explainable decision-support tool for public sector risk management, while remaining consistent with legal principles, administrative fairness, and accountability in customs enforcement.

Technology Perception, Marketing Mix, and Customer Satisfaction Experience Affecting the Purchase Decision of Electric Vehicles in the Digital Era

Tanachat Pratoomsawat — Sat, 27 Jun 2026 00:00:00 +0700

This research article aims to 1) study the level of technological awareness, marketing mix, customer satisfaction experience, and electric vehicle (EV) purchase decisions in the digital age, and 2) compare the EV purchase decisions in the digital age among consumers with different personal characteristics. A quantitative research method was used, with a sample of 400 residents of Bangkok obtained through convenient sampling. The research instrument was a questionnaire, The quality control of the instrument by all three experts resulted in a total validity and reliability of 0.887, indicating a very high level of reliability. Statistical analyses included frequency, percentage, mean, standard deviation, t-test, The results showed that overall, technological awareness, marketing mix, customer satisfaction experience, and EV purchase decisions in the digital age were at a high level. EV purchase decisions in the digital age, respectively. Hypothesis testing revealed that there were statistically significant differences (p < .05) in EV purchase decisions among sample groups based on age, education level, occupation, and average monthly income, while gender and marital status did not significantly affect purchasing decisions. This research reflects that digital-age consumers consider not only the technology of electric vehicles but also the actual user experience. Convenience, value for money, after-sales service, and brand image are all included.

The Study of state welfare card policy implementation: a case study Muang District, Chachoengsao Province

Sittichok Langkhulanon, Attaphot Bua-ngam, Nalina Chaiya , Chaiya Thepha — Sat, 27 Jun 2026 00:00:00 +0700

This Research Article aims to analyze the process of implementing the State Welfare Card policy at the local level, to identify factors contributing to its success and constraints, and to propose approaches to enhance the efficiency of policy implementation. The research focuses on the Provincial Treasury Office of Chachoengsao, the principal agency responsible for transferring the national policy into local operational practice. This research employed a qualitative methodology, utilizing in-depth interviews with 14 key informants comprising both executive and operational-level officials from the Provincial Treasury Office. A semi-structured interview evaluated by 3 experts. guide served as the primary data collection instrument. Secondary data were collected from related documents, including research reports, government documents, laws, regulations, and academic articles, to be triangulated with field data. The triangulation method was employed to ensure the credibility and reliability of the findings. Analyze and present the results descriptively. The findings reveal that the Provincial Treasury Office of Chachoengsao plays a crucial role as a “Policy Management Hub” encompassing three main dimensions: 1) Policy Steerage – acting as the key linkage between central government policy and local implementation, ensuring alignment with national policy frameworks and objectives. 2) Specialized Operations – focusing on essential functions such as registration, eligibility verification, and beneficiary database management, which require specific expertise in public finance and information systems. 3) Frontline Service – providing consultation, receiving complaints, and disseminating information, serving as the first point of contact to foster understanding and trust among citizens.

Thais Analysis Rum Wong Tam Lueng Thong Band Thai Folk Dance Song in Nong Tamlueng Sub-district, Phanthong District, Chonburi Province.

Apitchart Detsupa, Sarawut Rotchanasiri — Thu, 16 Apr 2026 00:00:00 +0700

This research article performs an analysis. The Rum Wong Tum Lueng Thong Band in Nong Tumlueng Sub-district, Phanthong District, Chonburi Province, is a research study on folk songs in the eastern region of Thailand. The objective is to study the history, roles, and musical performances of the band using qualitative research methods and ethnomusicological approaches for data collection and analysis. Content analysis presented in a descriptive style. The study found that the Rum Wong Tum Lueng Thong Band was established in 2006 by a group of brass band musicians residing in Nongtumlueng Sub-district, Phanthong District, Chonburi Province. At its initial establishment, the ensemble comprised approximately 9–10 musicians and an additional 5–10 dancers. Its primary function was to provide musical performances for ordination ceremonies. Subsequently, it evolved into a Ram Wong performance troupe, which could also be adapted into a Ruk Thung band (Thai country music) configuration. It later developed into a Ram Wong dance ensemble that could also be adapted into a Ruk Thung music band format. The roles and functions of the Ram Wong Tam Lueng Thong Troupe involve providing musical performances to accompany Ram Wong dancing at various festive events. The ensemble typically selects fast-tempo Ruk Thung songs and performs within Nong Tamlueng Subdistrict, Phan Thong District, Chon Buri Province. In addition, at present, the troupe has expanded the scope of its engagements to include performances in other areas of neighboring provinces. The musical performance practices of the Ram Wong Tam Lueng Thong Troupe involve rehearsal and repertoire transmission through 3 methods: oral instruction, Thai musical notation, and Western musical notation. A set of performance repertoire consists of 5 songs, which are used for one performance suite or one cycle of Ram Wong dancing. In a single night, approximately 10–15 cycles are presented, totaling about one and a half hours of performance time.

Foundations, Characteristics, and Strategic Paths of Deepening China-Laos Tourism Cooperation

Shulan Zhao — Fri, 22 May 2026 00:00:00 +0700

Tourism cooperation between China and Laos represents a critical alignment between the “Belt and Road Initiative” (BRI) and Laos’ national strategy of transforming from a “land-locked” to a “land-linked” nation. Driven by policy alignment, geographical proximity, and cultural affinity, a multi-tiered and extensive pattern of cooperation is emerging. This study systematically examines the foundations, competitive advantages, and current challenges of this bilateral relationship, proposing innovative strategies for advancing tourism cooperation between the two nations. Our analysis indicates that the policy synchronization and infrastructure connectivity, as exemplified by the China-Laos Railway and cross-border economic zones, have expanded the market and diversified products. Meanwhile, significant bottlenecks remain hurdling tourism development, such as infrastructure deficits in Laos, talent shortages, regional competition, and ecological pressures. Future cooperation at the policy level is recommended to focus on smart tourism integration, product innovation, and regional collaboration to serve as a model for sustainable development within the Lancang-Mekong region. Digital Empowerment: Innovating Smart Tourism Models should involve developing a Metaverse platform, creating a virtual "Luang Prabang" Metaverse space where tourists can visit Wat Xieng Thong and experience the water festival through VR devices and AI-powered technology specifically designed for tourists. The application of Blockchain technology for issuing a Lan Xang-Mekong Tourism Card allows tourists to accumulate points from spending within the region to redeem for cross-border services. A fraud-proof tourism credit system will be created to record the quality of service from merchants and tourist behavior, promoting honest operations. Real-time e-commerce should be implemented, training bilingual (Chinese-Lao) tourism influencers to disseminate images on platforms like TikTok and YouTube to attract international users for purchases. A "live-streaming commerce + travel package" model should be launched where tourists can receive free travel experiences as gifts after purchasing goods such as Lao agarwood and Thai latex pillows.

The Influence of Vote Brokers on Electoral Transparency in Thailand’s 2026 for Election of House of Representatives

Sun, 21 Jun 2026 00:00:00 +0700

This research article aims to study the role and influence of vote brokers in the 2026 Thai parliamentary elections. It analyzes the role of vote brokers in the Thai political system and their impact on the electoral process and democracy. The analysis utilizes a descriptive approach, synthesizing research from Thailand and abroad, as well as related literature. The findings reveal that vote brokers continue to wield significant influence in swaying and mobilizing votes through social and economic networks. Despite attempts at control by relevant agencies, this role poses challenges to the transparency and fairness of the electoral process. The article suggests reforms to the electoral system and the promotion of democratic awareness to strengthen Thai democracy in the future. Recommendations include: 1) Reforming the electoral system to promote free competition and reduce reliance on vote brokers; 2) Strengthening the Election Commission (EC) to consider adjusting the electoral system towards free competition and reducing dependence on vote brokers; 3) Promoting public awareness and rights through activities and campaigns to educate citizens about their voting rights, the impact of vote buying, and the role of vote brokers, enabling voters to make informed and independent decisions; and 4) Enhancing the role of civil society and the media, enabling them to play a crucial role in scrutinizing and clarifying election results. It also discloses information about the political behavior of campaign managers to enhance transparency and reduce unwanted influence.

Digital Government in Political Philosophy Perspective

Voradej Chandarasorn — Fri, 26 Jun 2026 00:00:00 +0700

This Review article examines the notion of the digital government from political-philosophical perspectives. It treats the digital government not merely as a set of technical arrangements but as a reconfiguration of normative foundations—legitimacy, authority, rights, justice, and the social contract—in light of digitization, datafication, and algorithmic governance. Drawing on classical political philosophy (social contract theory, liberalism, republicanism, utilitarianism) and contemporary critical and information-ethical thought, the paper articulates key objectives and normative goals for a philosophically defensible digital government: to secure dignity and freedom, to protect privacy and informational self-determination, to ensure procedural and distributive justice in algorithmic decision-making, and to sustain democratic legitimacy through participatory, accountable institutions. The article explores institutional and policy implications, discusses tensions (security vs. liberty; expertise vs. democratic control; efficiency vs. justice), and outlines recommended safeguards—data rights, algorithmic transparency, democratic oversight, and deliberative platforms—needed to align digital governance with core political values. It concludes that the digital government can be normatively justified only when digital infrastructures are embedded in legal, institutional, and ethical frameworks that secure citizens’ rights and public value. Summary of the Framework for Ethical Digital Government: A minimum governance framework to legitimize digital government consists of 7 core pillars:

Rights Foundation: Strong legal protection for information rights and personal data protection.
Transparency and Explainability: Responsibilities include disclosing government information and explaining the rationale behind algorithms.
Accountability and Redress: Accessible channels for remedying damages and independent organizations to adjudicate on impacts.
Participatory Governance: Providing space for citizen participation in policy design and creating inclusive mechanisms.
Equity Safeguards: Assessing impacts before system implementation and implementing corrective measures to prevent inequality.
Institutional Pluralism: Integrating democratic institutions, the judiciary, and experts to balance power and safeguard diverse interests.
Epistemological Responsibility: Committed to maintaining data quality and source, and verifying and managing data bias.