International Journal of Development Administration Research

Enhancing Logistics Efficiency for Customer Satisfaction in E-commerce

2025-12-30T15:52:22+07:00

This research investigates customer satisfaction in e-commerce logistics, with a focus on enhancing efficiency. The objectives of this study are to examine the impact of e-commerce on supply chains and logistics, identify efficiency and cost-reduction strategies, explore last-mile and technology innovations, and assess the role of data analytics and automation. Using a comprehensive approach, the study explores key factors including supply chain management, inventory management, warehousing, customer communication, returns management, and customer data analysis. Data were collected through a structured questionnaire administered via Google Forms to 392 Thai respondents with access to the internet and mobile devices who use online shopping services.

The data were analyzed using descriptive statistics, including frequency, percentage, mean, and standard deviation. The results indicated that most online shoppers were female, employed, and frequently engaged in online shopping. Key factors influencing customer satisfaction included technology utilization, efficient delivery, and responsive customer service.

The findings indicate that customer satisfaction with e-commerce logistics is high to very high, highlighting the importance of logistics efficiency. Fast and accurate delivery, product quality, inventory availability, technology integration, and effective returns management were identified as key factors influencing customer satisfaction and trust in e-commerce services.

Legal Status and Regulatory Framework for Daily Accommodation Services for Tourists in Thailand: Rights, Duties, and Legislative Development Guidelines

2026-01-03T07:45:29+07:00

This study examines the legal status and regulatory framework governing daily accommodation services for tourists in Thailand, with particular attention to the allocation of rights, duties, and liabilities necessary to support fair, safe, and sustainable tourism. Using a qualitative doctrinal and comparative legal research design, the study analyzes key Thai statutory instruments, including the Hotel Act B.E. 2547 (2004), Consumer Protection Act B.E. 2522 (1979), and Tourism Industry Act B.E. 2522 (1979), and compares them with regulatory models from Japan, Singapore, the United Kingdom, and the United States (Samui For Sale, n.d.). For this study, “daily accommodation” refers to short-term rentals offered to tourists through traditional and digital channels, including entire-home rentals, condominium units, and homestays. The findings reveal that Thailand’s existing framework remains fragmented and outdated, leaving significant gaps in consumer protection, licensing requirements, safety regulation, and institutional coordination. Definitional ambiguities and exemptions within the Hotel Act effectively exclude most short-term rentals from consistent oversight, enabling unregistered operations, variable safety standards, and limited accountability. To structure the analysis, the study maps (1) tourists’ rights to information, safety, and redress; (2) operators’ and hosts’ duties relating to licensing, safety compliance, and record-keeping; and (3) liability allocation among hosts, digital platforms, and state agencies. Comparative analysis shows that other jurisdictions employ integrated and adaptive mechanisms, such as mandatory registration, safety certification, and shared responsibility between platforms and hosts. The study therefore proposes legislative modernization to redefine the regulated “accommodation business,” implement a simplified digital licensing system, establish minimum safety and management baselines, and strengthen inter-agency coordination. These reforms aim to align Thai law with international best practices while balancing innovation with legal accountability.

The Satisfaction towards Social Welfare Arrangement for Elderly Citizens in Thamuang Municipality, Thamuang District, Kanchanaburi

2026-01-05T11:24:25+07:00

The research has been carried out to: 1) study the level of satisfaction towards social welfare for the elderly citizens in Thamuang Municipality, Thamuang District, Kanchanaburi; 2) conduct a comparative study on the satisfaction level towards social welfare for the elderly resided in Thamuang Municipality, classified by personal factors and; 3) study additional comments and recommendations about social welfare organised for the elderly citizens resided in Thamuang Municipality, Thamuang District of Kanchanaburi. The population of this research is the Thamuang registered residents aged 60 years and above. The research is quantitative. It has a sample size of 332 persons. Statistics used for result analysis were descriptive statistics such as percentage, mean, and standard deviation, as well as the T-test, F-test, and multiple comparisons. The results showed that the overall satisfaction level towards social welfare for the elderly citizens in Thamuang Municipality is at a high level. From the most satisfactory to the least were: health care, income level, supported service and network, social stability, accommodation, and recreation aspect. Additionally, a comparative study showed that personal factors included gender, age, education level, and income level, all have an influence on social welfare satisfaction level at a statistical significance of 0.05.

Criminal Law Enforcement and Penal Sanctions for the Illegal Sale of Personal Data in Thailand

2026-01-03T07:43:54+07:00

This research examines the adequacy of Thailand’s legal framework in deterring and sanctioning the illegal sale of personal data, with particular attention to enforcement under the Personal Data Protection Act B.E. 2562 (PDPA). Using a qualitative documentary approach grounded in legal hermeneutics, the study analyzes statutory provisions, doctrinal writings, and comparative legal standards to evaluate whether current sanctions achieve proportionality and deterrence in the context of cross-border and technology-driven data markets. The findings reveal a critical loophole: Section 80 of the PDPA imposes criminal liability primarily on state officials, thereby excluding private individuals and non-state actors—who constitute a major source of unlawful data trading—from direct criminal accountability. In addition, the penalties available under relevant Thai laws are comparatively mild when benchmarked against international standards, where regimes such as the GDPR and the UK Data Protection Act 2018 authorize significantly higher financial sanctions and more robust enforcement mechanisms. The hermeneutic method is particularly suited to this inquiry because it enables interpretation of legislative intent, structural gaps, and practical enforceability across intersecting legal instruments, addressing jurisdictional complexity and evidentiary barriers that cannot be resolved through purely textual comparison of statutes. Based on these findings, the study proposes legal reforms including the expansion of criminal liability to private actors, clearer definitional elements of “unlawful data sale,” and a tiered sanction model designed to strengthen deterrence while preventing over-criminalization. These reforms aim to align Thai enforcement capacity with the realities of contemporary personal data trafficking and transnational digital crime.

Impacts of Artificial Intelligence on Students’ Collaborative Learning of Film and Television Media

2026-01-05T11:27:07+07:00

This study explores the impact of AI technology on students' collaborative learning, academic performance, learning attitude, and creative development levels in undergraduate film and television media courses. This study used a quasi-experimental design with participants from four universities: Sichuan University of Communication, Sichuan University, Jilin Animation College, and Chengdu University. The experiment was conducted from March to August 2024. The experimental group adopted an AI-assisted collaborative learning strategy (n = 472), and the control group participated in traditional classroom teaching (n = 118). The Attitude Scale measured students 'attitudes towards AI collaborative learning, and performance tests assessed the impact of AI applications on students' academic performance. For an exploratory analysis, we conducted in-depth interviews with the students. The results show that AI collaborative learning significantly improves students' academic performance and creative development level. Students in both groups scored high attitudes towards AI collaborative learning, and the students in the experimental group spoke highly of the innovation and motivational improvement of AI collaborative learning. Researchers and educational practitioners should consider that AI collaborative learning can positively affect academic achievement and student performance and significantly increase students' learning motivation.

Public Speaking Anxiety in Higher Education: A Comparative Analysis of English-Major and Non-English-Major Undergraduates

2025-12-30T15:41:25+07:00

Public speaking anxiety (PSA) remains a critical barrier to students’ communicative competence and academic performance in higher education. This study investigated and compared the levels and characteristics of PSA among English-major (n = 63) and non-English-major (n = 59) undergraduates in Thailand using McCroskey’s Personal Report of Public Speaking Apprehension (PRPSA). Descriptive and inferential statistical analyses revealed that while PSA was prevalent across both groups, English-major students tended to report lower anxiety levels, likely due to their greater exposure to oral communication practice and structured feedback. Independent-samples t-tests indicated no significant difference in total PSA scores (p > .05), yet item-level analyses demonstrated significant variations in specific anxiety dimensions, with small to moderate effect sizes. English-major students exhibited lower anxiety on performance-related items, whereas non-English-major students showed higher cognitive anxiety, particularly regarding unexpected questioning. These findings underscore the disciplinary influence on PSA and highlight the need for differentiated pedagogical interventions that build communicative confidence through targeted practice and feedback strategies across academic disciplines.

How Absorptive Capacity Improves Green Innovation Performance in Small and Medium-sized Enterprises: A Study of the Mediating Role of Environmental Motivation and Organizational Learning

2026-01-16T11:44:04+07:00

Amid the global transition toward green and low-carbon development and China’s commitment to its dual-carbon goals, small and medium-sized enterprises (SMEs) face increasing pressure to innovate sustainably despite limited resources. Drawing on Dynamic Capability Theory and the Resource-Based View, this study examines how absorptive capacity influences green innovation performance through the mediating roles of environmental motivation and organizational learning. Using survey data from 602 SMEs in Shanghai and applying partial least squares structural equation modeling (PLS-SEM), the results indicate that absorptive capacity has a significant positive effect on green product and process innovation. Environmental motivation and organizational learning partially mediate this relationship, and a sequential mediation effect from environmental motivation to organizational learning is also confirmed. The findings contribute to the green innovation literature by clarifying the internal mechanisms through which knowledge-related capabilities translate into sustainable innovation outcomes and offer practical implications for SME managers and policymakers.

Factors that influence the decision to enter a faculty of Economics and management at Guangxi Vocational College of Water Resources and Electric Power

2025-12-30T15:36:08+07:00

This research aimed to The sample consisted of approximately 300 students, selected from a total population of 1,000 students in the academic years 2022 to 2024. Data were collected using a validated questionnaire and analyzed using descriptive and comparative statistics.

The results showed that the factors influencing students’ decisions to enter the Faculty of Economics and Management were at a high level in all aspects. The highest mean score was Career Prospects (𝑥̄ = 4.13), followed by Academic Resources (𝑥̄ = 4.10) and Curriculum
(𝑥̄ = 4.08). Professional Support Services (𝑥̄ = 4.04) and Further Education Opportunities (𝑥̄ = 4.01) were also rated at a high level, while Institutional Prestige (𝑥̄ = 3.96) received the lowest mean score but remained within the high level. The comparative analysis revealed no significant differences in students’ decisions when classified by age, gender, and domicile; however, significant differences were found for parent occupation and family income. Students whose parents were government employees and those from middle-income families showed higher levels of decision and motivation to enroll.

Cross-Media Construction and Communication of The Garden Aesthetics in A Dream of Red Mansions in the Perspective of Intertextuality Theory

2026-01-23T12:01:15+07:00

In the era of media convergence, the digital dissemination of traditional culture has become increasingly diverse. A core issue in communication studies is how aesthetic symbols in classical texts are transmitted and connected across various media. This study takes the garden aesthetics of A Dream of Red Mansions as a starting point for interdisciplinary research, drawing on intertextuality theory, cross-media theory, and garden aesthetics. The research objectives are (1) to deconstruct and interpret the meanings of aesthetic symbols found in the gardens of A Dream of Red Mansions, (2) to examine the forms and methods of cross-media intertextuality involving garden aesthetic symbols in the novel, and (3) to design cross-media communication strategies for these symbols based on intertextuality theory. This study adopts a mixed-methods approach, integrating both qualitative and quantitative methodologies. For the quantitative component, a sample size of 417 participants was determined using the formula N = Z² × (P × Q) / E². Data were collected through survey questionnaires and analyzed using SPSS statistical software. For the qualitative component, data collection employed multiple methods, including literature analysis, content analysis, sequential comparison, and semi-structured interviews. Literature and content analysis were used to deconstruct symbolic meanings in landscape architecture, while content analysis and sequential comparison examined intertextual translation strategies across media platforms. Semi-structured interviews were conducted with 10 key informants, divided into two groups. The first group included government officials and scenic site managers, and the second group included researchers of A Dream of Red Mansions, communication scholars, and landscape designers. The interview data were analyzed using a content analysis to test the research hypotheses and inform the development of communication strategies. The findings indicate that the garden symbols in A Dream of Red Mansions have significant cross-media adaptation potential. Based on these findings, the research yielded three outcomes: “The Three-Level Semantic Model of Garden Aesthetic Symbols”; “A Comparative Analysis Framework for Cross-Media Intertextuality”; “The Design of Communication Pathways and Strategies”. However, challenges such as oversimplification, excessive commercialization, and lack of consistency across media remain. Most interviewees emphasized the importance of intertextual consistency, suggesting that it enhances cultural trust and understanding. Research data indicates that Media habits, aesthetic sensitivity, and cultural literacy were found to significantly influence how audiences interpret these symbols. While mobile internet innovations can expand audience reach, the study highlights the need to balance creative adaptation with fidelity to the core cultural meanings. The research contributes to cultural communication theory by constructing a layered semiotic model and a cross-textual intertextuality framework. On a practical level, it offers strategies for multimodal communication and digital heritage preservation. Future research may extend to cross-cultural contexts, AI-generated content, and immersive media applications.

Factors Influencing Tourist Behavioral Intentions at Southeast Asian Specialty Restaurants in Xinglong, Hainan, China

2026-01-23T12:04:07+07:00

This study examines how different customer groups perceive the authenticity of Southeast Asian restaurants in Xinglong, Hainan, and how these perceptions affect satisfaction and recommendation intention. Using a sequential mixed-methods design, the research first conducted in-depth interviews with 30 participants including restaurant owners, chefs, overseas Chinese, and local residents to explore authenticity across food, environment, and service. Insights from this phase guided a structured questionnaire distributed to restaurant patrons.

A total of 466 valid responses were collected from four groups: tourists (127), returned overseas Chinese (43), local residents (112), and students (184). Structural Equation Modeling (SEM) was used to assess relationships between authenticity perceptions, perceived value, satisfaction, and behavioral intention. Results show that food authenticity has the strongest positive influence on perceived value, satisfaction, and recommendation intention, followed by service and environmental authenticity. Group differences emerged: tourists and students respond more to environmental ambiance and service hospitality, while local residents and overseas Chinese emphasize traditional food flavor and preparation.

This research contributes to cross-regional food cultural production by underscoring the role of authentic service and culinary integrity in shaping consumer experience. Practically, it supports Xinglong’s shift from sightseeing to culturally immersive tourism, suggesting that strengthening food and service authenticity can deepen visitor engagement and cultural identity. The findings offer guidance for local government, restaurant operators, and tourism developers aiming to preserve culinary heritage while meeting diverse customer expectations

Enhancing Sustainable Market Competitiveness through Innovation, Service Optimization, and Brand Management: The Mediating Role of Differentiation in Beijing’s Printing Industry

2026-01-23T12:06:50+07:00

This research combines both quantitative and qualitative methods, research design, and research environment for investigating the influence of technological innovation capability, service system optimization, and brand management on sustainable market competitiveness in Beijing printing enterprises, with a focus on the mediating role of enterprise competitive differentiation capability. Research Objectives: (1) To evaluate current levels of technological innovation capability, service system optimization, brand management, and enterprise differential competitive capability among Beijing printing enterprises through descriptive statistics and benchmarking analysis. (2)To examine the mediating role of enterprise differential competitive capability in the relationships between technological innovation capability, service system optimization, brand management, and sustainable market competitiveness using structural equation modeling (SEM). (3)To validate an integrated SEM model for enhancing sustainable market competitiveness of Beijing printing enterprises through technological innovation capability, service system optimization, brand management, and enterprise differential competitive capability. Literature Review use: Resource - Based Theory, Institutional Theory. Enterprise Sustainable Development Theory, Technological Innovation Capability, Technological Innovation Capability and their Dimensions. Definition of Service System Optimization: And Definition of Brand Management.

This study shows that technological innovation capability, service system optimization, and brand management each play crucial roles in enhancing sustainable market competitiveness in Beijing’s printing industry. Across all three areas, enterprise differentiation capability serves as the key mediating mechanism that transforms these capabilities into competitive advantages. Technological innovation contributes not only through efficiency and quality improvements but also through environmental gains that strengthen green differentiation. Service system optimization enhances competitiveness via operational coordination, stronger customer relationships, and sustainability benefits, producing durable, capability-embedded differentiation. Brand management acts as a strategic asset by signaling credibility and sustainability, helping firms secure price premiums and client loyalty. Differentiation emerges as a dynamic capability rather than a simple strategic choice, converting diverse organizational resources into market advantages. The effectiveness of these mechanisms depends on industry context, enterprise size, and market segment. The study also shows that technology, service, and brand capabilities each support different dimensions of sustainability, requiring balanced development. Overall, sustainable competitiveness in traditional industries hinges on integrating technological, service, and brand capabilities and aligning them with firm strengths and market conditions.

AI-Mediated Impacts of Equipment, Compliance, and Policy on Railway Management Efficiency: A Case Study of the Beijing Railway Bureau

2026-01-23T12:19:29+07:00

This research uses quantitative and qualitative research. mixed research methods, in-depth mixed-methods investigation, delving into the intricate ways in which artificial intelligence influences railway management efficiency through the mediating effects of policy factors, equipment status, and operational compliance among railway organizations in China. In an effort to comprehensively understand this complex relationship, the study combines a meticulously designed 751sample survey with 20 in-depth interviews. The survey sample is carefully selected to cover a wide range of railway sectors and organizational scales across China, ensuring representativeness. The in-depth interviews, on the other hand, are conducted with key stakeholders, including senior railway managers, operations directors, AI implementation specialists, equipment maintenance supervisors, and policy compliance officers, to gain rich qualitative insights. Research Objectives: (1) To analyze the impacts of equipment status, operational compliance, and policy factors on railway management efficiency in the Beijing Railway Bureau, China. (2)To examine how AI mediates the relationships between internal and policy factors and to propose an implementation framework for enhanced efficiency. This research aims to explore the elaborate mechanisms by which artificial intelligence, policy factors, equipment status, and operational compliance interact and jointly affect railway management efficiency, with the ultimate goal of enhancing the operational performance and safety capabilities of Chinese railway organizations in an increasingly complex and technology-driven transportation landscape. Literature Review use: Overview of Railway Management Efficiency in China, Underpinning Theory. (1) Systems Theory of Accident Causation. (2) Artificial Intelligence Theory. (3) Equipment Reliability Theory. The key findings of this study are both significant and far-reaching. It has been clearly demonstrated that artificial intelligence implementation exerts a positive and profound impact on policy implementation effectiveness, equipment performance optimization, and operational compliance monitoring initiatives. A well-integrated AI system serves as the cornerstone for promoting enhanced policy execution, equipment management, and compliance adherence within railway organizations. For instance, it streamlines policy. Quantitative Phase: A structured questionnaire is distributed to the sampled population, and quantitative data is analyzed to test relationships among core variables such as equipment status, compliance, policy, AI application, and management efficiency.

The results indicate that Qualitative Phase: Following the quantitative analysis, semi-structured interviews are conducted with selected informants to explore deeper explanations and contextual factors underlying the survey results. The phase-sequenced methodology serves to expand, enhance, and clarify findings through methodological triangulation. This approach, aligned with the "compatibility hypothesis," supports the pursuit of more comprehensive, nuanced, and actionable research conclusions Practical Guidance: The findings offer evidence-based guidance for stakeholders: to achieve operational excellence, railway organizations must focus on strengthening AI implementation to optimize policy execution, enhance equipment performance, and ensure comprehensive operational compliance. This validates strategic documents like China's "Intelligent Railway Development Outline." In short, AI is not just a technology but a critical enabler that transforms traditional railway management into an intelligent, data-driven ecosystem, maximizing efficiency and ensuring long-term sustainability in a complex transportation environment.

Risk Management as a Mediator in Innovation Performance of Chinese New Energy Enterprises: A Mixed-Methods Analysis

2026-01-23T12:22:58+07:00

The Research objective To investigate how technological innovation, market changes, and policy evolution collectively influence innovation performance in rapidly growing new energy enterprises. To explore the interactions between technological innovation, market changes, and policy adjustments in shaping corporate innovation outcomes during the expansion of new energy industries. To determine whether risk management mediates the relationship among technological innovation, market dynamics, policy adjustments, and innovation performance in new energy enterprises.As the global energy transition accelerates, Chinese new-energy enterprises must navigate volatile markets, shifting policies, and technological uncertainties that challenge effective innovation management. Grounded in Schumpeter’s innovation theory, open-innovation theory, and risk-management theory, this study investigates how technological innovation, market dynamics, and policy adjustment collectively affect innovation performance, with risk management serving as a mediating factor. Quantitative data from 330 professionals were analyzed. Structural equation modeling reveals that technological innovation, market dynamics, and policy adjustment each have significant positive impacts on innovation performance. Moreover, risk management partially mediates these relationships by transforming external uncertainty into organizational learning and adaptive capability. Overall, the study extends theoretical understanding of innovation performance under uncertainty and provides practical guidance for enhancing resilience and competitiveness in China’s evolving new-energy industry.

Modeling the Impact of Cultural Marketing on City Brand Attractiveness: Evidence from Shijiazhuang, China

2026-01-23T12:26:27+07:00

This study quantitatively investigates how cultural marketing influences city brand attractiveness in Shijiazhuang, China, Research Objectives To establish a city brand attractiveness evaluation model from the perspective of cultural marketing. To refine the theoretical framework of differentiated paths for cultural marketing in regional cities (especially second-tier cities), and propose a three-in-one strategic plan for Shijiazhuang’s cultural marketing: “core symbols – communication channels – experience scenarios”. Design tiered marketing strategies targeting different audiences (youth groups, business people, local residents). Establish a cultural marketing coordination mechanism that is government-led, market-driven, and involves public participation. through the mediating role of customer perceived value. A structured questionnaire was distributed to 350 valid respondents, measuring four dimensions of cultural marketing—historical, artistic, sports, and commercial—along with perceived value and brand attractiveness using a five-point Likert scale. Structural equation modeling (SEM) was employed to analyze the data. Results revealed that all four cultural marketing dimensions significantly enhance perceived value, which in turn positively affects city brand attractiveness. The findings underscore the importance of integrating cultural marketing strategies to strengthen Shijiazhuang’s urban brand identity and competitiveness. The study contributes empirical evidence to urban marketing literature and offers strategic implications for city brand managers.

Study on the Impact of Financing Efficiency on Corporate Innovation

2026-01-23T12:28:45+07:00

The abstract, written in Thai, should present the research objectives, methodology, and findings in a concise manner, providing an overall summary of the paper. It should include all key terms and be brief and precise.China's shift to an innovation-driven "new normal" is vital as traditional growth factors decline, but its innovation system suffers from low efficiency and a focus on incremental innovation, lagging behind global leaders despite high explored is the mismatch between financial input and innovation impact, which stems from financing constraints and, critically, low financing efficiency the ineffective allocation of capital to high-value innovation.This study aims to develop an integrated framework linking financing efficiency (effective resource allocation) to corporate innovation quality and sustainability in China, providing both theoretical enrichment and practical policy guidance to bridge the gap between national ambition and on-the-ground outcomes. Research Objectives (1) to explore the impact mechanism and empirical effects of financing efficiency on corporate innovation. (2)to investigate the mediating role of financing constraints and supply chain finance in the relationship between financing efficiency and corporate innovation. (3) to examine the heterogeneity in the impact of financing efficiency on corporate innovation across different types of enterprises (including variations in size, ownership structure, and market orientation) and across different regions. (4) to combine both quantitative and qualitative research methods in analyzing the relationship between financing efficiency and innovation, ensuring a comprehensive understanding of the impact mechanisms. (5) To provide theoretical support and practical guidance for policy formulation and corporate decision-making, aiming to enhance the role of financing efficiency in fostering innovation.

This study concludes that financing efficiency (specifically pure technical efficiency) is a crucial positive driver of corporate innovation, especially breakthrough innovation, a finding that advances literature by focusing on efficiency of utilization over mere availability. The study reveals a dual-pathway mechanism where improved financing efficiency alleviates financing constraints and enhances supply chain finance, which then boosts innovation. This relationship is regionally heterogeneous, showing a stronger positive impact in less financially developed central and western regions of China.