Purpose: This research examines the influence of Good Governance Networking (GGN) on organizational performance within the logistics and trade sectors of the Subang Regency Education and Culture Service Work Unit. It aims to explore how GGN enhances service delivery, operational efficiency, and resource management in the context of distribution economics. Research design, data and methodology: A quantitative research design was employed, utilizing purposive sampling to gather data from 52 employees through structured questionnaires. The study utilized descriptive statistics to summarize data and regression analysis to assess the relationship between GGN practices and logistics performance, focusing on operational efficiency and trade responsiveness. Results: Key findings indicate a significant positive correlation between effective GGN practices and improvements in logistics efficiency and trade responsiveness. The regression analysis demonstrated that enhanced GGN practices lead to substantial gains in logistics performance, with beta coefficients of 0.65 for logistics efficiency and 0.59 for trade responsiveness, both with p-values less than 0.01, confirming their statistical significance. Conclusion: The study highlights the importance of Good Governance Networking in optimizing logistics operations and improving public service performance. It offers valuable insights for managers and policymakers, stressing the integration of governance principles to enhance distribution practices and service delivery outcomes.

Purpose: The study aims to assess the innovation activity of SMEs operating in the Hungarian logistics sector, with particular regard to the knowledge-based operations of the companies, and to highlight the fundamental differences between the external and internal knowledge transfer of companies, which depend on management attitude and employee activity. Research design, data and methodology: The empirical research was conducted using a questionnaire survey among 628 Hungarian logistics enterprises. The questionnaire was distributed electronically among Hungarian logistics enterprises in 2024. Data collection was carried out anonymously. Results: The logistics and distribution companies examined in the survey show significant differences in the methods of external and internal knowledge transfer. However, it is a finding valid for all companies that both leadership attitude and employee activity play an essential role in the development of innovation policies that determine corporate knowledge management. Conclusions: Logistics companies that apply knowledge-sharing methods can respond faster to market changes and gain a competitive advantage. External knowledge transfer (collaboration with universities, research institutes, and industrial partners) enhances innovation. Internal knowledge management (employee rotation, knowledge-sharing culture) fosters organizational learning and creative solutions. Thus, strategic knowledge management is key to operational efficiency in logistics.

Purpose: In the context of substantial digital transformation, e-commerce plays a crucial role in enhancing the competitiveness of retail enterprises. This study aims to strengthen the theoretical basis of intention to adopt e-commerce in Vietnamese enterprises focusing on retail enterprises and the decision to implement it in practice, currently there is very little research on this topic. Research design, data and methodology: This study uses the TOE model to identify the factors influencing the intention and behavior of retail enterprises in Vietnam to apply e-commerce. Survey data from 230 enterprises analyzed using the SEM model. Results: The results show that five factors have a positive impact on the intention to adopt e-commerce, including perceived relative advantage, perceived compatibility, organizational readiness, knowledge and experience, and organizational innovativeness. Other factors such as external pressure, and external support do not influence the intention to adopt e-commerce for various reasons. Conclusion: The results also affirm the important role of adopted intentions in practical implementation decisions. In practice, the research results are useful references for Vietnamese e-commerce policy makers in strategic issues such as the need to specify policies to enhance e-commerce capacity for state management officials, retail enterprises owners and business households; develop e-commerce technologies in which e-commerce transactions between the government and businesses are the focus; perfect the legal framework on cyber security. On that basis, the study proposes recommendations for managers and enterprises to promote e-commerce in the retail industry, contributing to sustainable growth in the digital era.

Purpose: The last-mile delivery experience plays a pivotal role in enhancing customer satisfaction and loyalty within the e-commerce sector. This study introduces the Customer Delivery Experience in Last-Mile Delivery (CDX-LMD) scale and investigates how key dimensions of this experience influence customer satisfaction. Research Design, Data and Methodology: A quantitative research design was employed to explore the relationships between last-mile delivery factors and customer satisfaction. Data were collected from 950 e-commerce customers. The study used Exploratory and Confirmatory Factor Analyses to validate the CDX-LMD scale, followed by multiple regression analysis to examine the influence of seven identified dimensions. Results: The validated CDX-LMD scale consists of seven dimensions: Joyful anticipation, Parcel tracking, Visual appeal, Delivery efficiency, Convenience, Smooth delivery, E-payment. These dimensions collectively explained 75.9% of the variance in customer experience (R² = 0.759). Among them, Joyful anticipation (β = 0.213) and Parcel tracking (β = 0.198) had the strongest impact on customer satisfaction. Conclusions: This study highlights the multidimensional nature of last-mile delivery experience and its significant role in shaping customer satisfaction. By enhancing transparency, operational efficiency, and digital payment security, e-commerce firms can optimize customer experience and build long-term loyalty.

Purpose: This paper focuses on analyzing the role of hinterland development in enhancing hinterland connectivity and improving the competitiveness of Ho Chi Minh City (HCMC) seaports and propose strategic solutions to strengthen the port system's competitive position in the context of regional and global economic integration. Research Design, Data, and Methodology: This study utilizes a mixed research approach, combining both qualitative and quantitative methods. Data were collected from a sample of 360 individuals employed in the maritime transport industry in HCMC. The analysis was conducted using a 5-point Likert scale and structural equation modeling (SEM). Results: The results of the study indicate that four factors - the capability of logistics service providers, transport network, inland logistics nodes, and hinterland reach - have a positive and significant impact on hinterland connectivity and port competitiveness. Additionally, the study highlights the crucial role of hinterland connectivity in enhancing port competitiveness. Conclusion: This study emphasizes the importance of hinterland and hinterland connectivity in promoting the competitiveness of HCMC seaports, particularly amid increasing competition from Cai Mep seaport and other ports in the region. It also contributes to refining and adjusting the measurement scale for certain concepts to better suit the seaport industry in Vietnam.

Purpose: This study explores the factors influencing the cross-border purchasing behavior of Vietnamese consumers, particularly for products from the United States and China, in the context of cross-border e-commerce, focusing on distribution channels and international trade dynamics. Research design, data and methodology: The research is based on social identity theory, realistic group conflict theory, cognitive dissonance theory, the SOR model, and the Information Systems Success (ISS) model. From December 2023 to August 2024, a survey was conducted using a seven-point Likert scale, gathering responses from 1,000 consumers in each of the two studies (Study 1 for a U.S. product and Study 2 for a Chinese product). Data was analyzed using partial least squares structural equation modeling (PLS-SEM) via SmartPLS 4.1.0 software. Results: Key factors such as consumer affinity, ethnocentrism, e-service quality, system quality, and information quality influence consumer trust and product judgments. Product uniqueness and price competitiveness were also significant drivers of positive product assessments. Conclusions: This study clarifies how consumer trust and product evaluations influence cross-border purchasing behavior, yielding valuable insights for distribution, logistics, and marketing in international trade. The findings offer actionable guidance for businesses targeting Vietnamese cross-border e-commerce, especially in optimizing distribution channels and improving logistics efficiency.

Purpose: This study aims to develop a structural equation model (SEM) identifying the factors influencing the purchase intention of Chinese identity food. The model comprises five key variables: food quality, food identity, perceived value, social norms, and attitude toward purchasing. Research design, data, and methodology: Data were collected from 400 working-age consumers(aged 15-59) in Four selected areas of Southern Thailand: Nabon and Thung Song districts in Nakhon Si Thammarat province, and Huai Yot and Mueang districts in Trang province. The respondents who expressed interest in consuming Chinese identity food were selected using quota sampling. A questionnaire was used as a research instrument, and data analysis was conducted using structural equation modeling with AMOS software. Results: The developed structural equation model exhibited a good fit with empirical data. The model explained 51.6% of the variance in purchase intention for Chinese identity food. Purchase intention was significantly influenced by food identity, social norms, and attitudes toward purchasing. Additionally, food identity and social norms had an indirect effect on purchase intention through attitude toward purchasing. Conclusion: These findings provide insights into consumer behavior regarding Chinese identity food and offer practical implications for businesses and policymakers seeking to enhance marketing strategies and promote Chinese identity food in the region. The study also highlights the importance of effective distribution strategies both online and offline in supporting consumer engagement and improving accessibility to Chinese identity food in culturally diverse markets.

Purpose: This study develops a Halal Value Chain model within Malaysia's halal ecosystem using the Analytic Network Process (ANP) approach. It evaluates complex relationships among sectors such as halal food, tourism, fashion, and Islamic finance to enhance the ecosystem's effectiveness and growth. Research design, data, and methodology: Employing both qualitative and quantitative methods, data is gathered through in-depth interviews and observations with halal practitioners and experts. The ANP method analyzes the data, identifying strategic priorities that reinforce the halal ecosystem and address interdependencies. Results: Findings highlight the need to enhance integrity and transparency throughout the halal supply chain. Establishing international standards for halal products is crucial for ensuring consistency and building consumer trust globally. Strategic priorities identified include value chain reinforcement, institutional effectiveness, product diversification, and domestic market expansion. Conclusions: The study concludes that collaboration among stakeholders, including government, private sector, and financial institutions, is essential for creating a sustainable halal ecosystem. The findings will help the Malaysian government formulate strategic policies to promote the halal industry and guide stakeholders in enhancing the halal value chain through technological innovations and effective marketing strategies. The proposed model serves as a reference for future research and development of integrated policies for a robust, globally competitive halal ecosystem.

Purpose: This study examines the strategic approaches adopted by entrepreneurs in developing Micro, Small, and Medium Enterprises (MSMEs) in Indonesia and the Philippines, focusing on innovation strategies. Research design, data, and methodology: Conducted as a collaborative research effort, this study analyzes and compares data collected from MSMEs in Kendari City, Indonesia, and Manila City, Philippines, using a quantitative approach with descriptive and comparative statistical analysis. Results: Findings reveal that MSMEs in both countries implement similar distribution strategies, with a strong emphasis on innovation. Nearly 90% of MSMEs in Indonesia and the Philippines use innovation strategies to enhance income levels. However, a lack of awareness and knowledge regarding strategic innovation hinders their ability to maximize its potential. Conclusion: The study concludes that innovation distribution strategies play a crucial role in MSME development in both nations. However, increased education and training in strategic innovation are necessary to strengthen MSME competitiveness. Policymakers, industry associations, and educational institutions should collaborate to enhance awareness and provide resources supporting innovation-driven MSME growth. Strengthening innovation literacy will enable MSMEs to adapt effectively to market challenges, enhance resilience, and ensure long-term economic sustainability.

Purpose: The study explores how environmental variability influences opportunism and trust in inter-firm channel relationships. It further examines the moderating role of network embeddedness, particularly the effects of strong and weak ties, in shaping these dynamics under uncertain conditions. Research design, data and methodology: To investigate these relationships, the study develops hypotheses suggesting that environmental variability increases opportunism while reducing trust. It also proposes that network embeddedness moderates these effects, with strong and weak ties playing distinct roles. The analysis draws on empirical data from firms engaged in inter-firm exchanges. Statistical analyses are conducted to assess how different levels and types of embeddedness impact the effects of environmental variability on opportunism and trust. Results: The results support all proposed hypotheses. Environmental variability is positively associated with opportunism and negatively associated with trust. Network embeddedness significantly moderates these relationships. Firms embedded in strong tie networks experience reduced opportunism and enhanced trust, as these ties function as informal control mechanisms and promote mutual understanding. Weak ties show limited moderating effects. Conclusions: The research underscores the importance of network embeddedness in managing opportunism and promoting trust amid environmental variability. Strong ties enhance information sharing, mutual understanding, and relational stability, helping firms navigate volatile conditions more effectively. The study contributes to the literature by integrating social exchange theory and social network theory, highlighting the need for firms to strategically manage their network relationships to foster cooperation and reduce risks associated with uncertainty.

Purpose: In response to the increasing digitalization of the insurance market, insurance companies have actively established online sales channels and implemented strategic marketing efforts focusing on purchase usefulness and low-price strategies. Utilizing these channels enables companies to enhance consumer satisfaction compared to traditional offline sales. This study aims to analyze how perceived usefulness and trust influence favorable emotions, and how these emotions in turn reinforce active purchase behavioral intentions among insurance consumers in online insurance shopping environments. Research design, data, and methodology: Grounded in attitude theory, this study proposes a conceptual framework to investigate the relationships between Perceived Usefulness (PU), Ease of Purchase Service Use (EPSU), Service Trust (ST), and Price Competitiveness (PC) on Favorable Emotions (FE), and the subsequent impact of FE on Active Purchase Intention (API). Data were collected through an online survey targeting consumers who had previously purchased insurance products via online channels. The data were analyzed using the Partial Least Squares (PLS) structural equation modeling approach. Results: The analysis revealed that PU, EPSU, and ST significantly influenced FE, while PC did not have a significant effect on either FE or PU. Furthermore, FE was found to have a strong and positive influence on API. These findings offer meaningful insights into the psychological mechanisms underlying consumer behavior in online insurance markets. They also provide practical guidance for insurance companies to develop more effective and consumer-centric online marketing strategies moving forward.

Purpose: This study explores how eco-friendly Corporate Social Responsibility (CSR) initiatives, when communicated through traditional and digital media, influence consumer behavior in South Korea's automotive industry. It examines the indirect effects of CSR publicity via media coverage on green vehicle sales by analyzing the mediating role of Instagram-based electronic word-of-mouth (eWOM), offering a clearer understanding of how communication prompts consumer response and leads to purchasing behavior. Research Design and Methodology: Using monthly panel data from 22 automotive brands over a 29-month period (610 observations), we analyze the causal pathway from CSR news exposure to Instagram engagement and subsequent green vehicle sales. The volume of Instagram posts is treated as a proxy for consumer-generated eWOM. Findings: Our results show that eco-friendly CSR news reports significantly increase Instagram eWOM, which in turn contributes to higher sales of eco-friendly vehicles. This confirms the mediating role of social media engagement in translating CSR communication into real market behavior. Conclusions: This study is the first to empirically demonstrate the indirect effect of CSR news coverage on actual product-level outcomes via eWOM in the South Korean automotive industry. The findings offer new insights into how firms can strategically amplify CSR impact by leveraging third-party media and consumer-driven communication channels.