- P-ISSN1738-3110
- E-ISSN2093-7717
- SCOPUS, ESCI
ISSN : 1738-3110
Vol.23 No.10
Abstract
Purpose: The textile industry plays a crucial role in global economic growth; however, it also poses significant environmental challenges, including greenhouse gas emissions and hazardous waste generation. Therefore, the implementation of green production and distribution practices is essential to mitigate these negative impacts. Green production involves the use of environmentally friendly raw materials, waste reduction, and resource efficiency, while green distribution focuses on reducing carbon emissions in the supply chain and adopting eco-friendly packaging. This study explores the implementation of green production and distribution within Indonesia's textile industry, identifying key challenges such as high investment costs, limited waste management facilities, and insufficient government support. Research design, data and methodology: The research method used is a survey conducted and in-depth interviews among textile industries in Indonesia. In the field study, observations, surveys, and interviews related to green production and distribution were carried out. Results: Survey results indicate that "Reduce, Reuse, and Recycle (3R)" waste management practices are adopted by only 25% of the industry, while 30% of waste is still disposed of in landfills. Other obstacles include a lack of awareness regarding waste management and limited availability of recyclable materials. Conclusion: This study highlights the need for increased government support, technological innovation, and collaboration within the supply chain. Although implementing green production and distribution faces considerable challenges, it has the potential to provide significant benefits for environmental sustainability and the textile industry's long-term viability. This research can serve as a reference for developing environmentally friendly strategies in this sector.
Abstract
Purpose: This study investigates Malaysia's ongoing challenges in achieving food security amidst limited agricultural resources, growing population pressure, and a heavy reliance on food imports. It focuses on evaluating the effectiveness of national strategies with an emphasis on distribution and trade logistics. Research design, data and methodology: A qualitative research design was adopted, employing semi-structured interviews and document analysis. Data were collected from government officials, agricultural economists, and supply chain stakeholders. National policy documents such as the National Agro-Food Policy (DAN 2.0) and the Food Security Policy Action Plan (DSMN 2021–2025) were analyzed using thematic coding. Results: Findings reveal that efficient logistics infrastructure, transparent trade policies, and technological integration are crucial for food accessibility and affordability. Distribution inefficiencies, aging workforce, and underutilized land remain key bottlenecks. Strategic public-private partnerships and enhanced youth participation in agribusiness are shown to be impactful interventions. Conclusion: A multipronged approach involving smart logistics, distribution optimization, local trade linkages, and inclusive agricultural policies is recommended. Targeted subsidies, digital transformation, and import diversification are essential for building a resilient and secure food system. The study contributes actionable recommendations for enhancing food distribution strategies and guiding policy reform in Malaysia and comparable economies.
Abstract
Purpose: This investigation systematically implements Lean Manufacturing principles to substantially improve operational efficiency, optimize internal logistics, and reduce waste within community rice mills located in Kalasin Province, Thailand. These vital rural milling facilities frequently face inefficiencies caused by outdated processes and insufficient material flow. Research design, data, and methodology: A mixed-methods approach was employed, comprising surveys of 125 mills, in-depth interviews, and participatory action research (PAR). Lean tools, including 5S, Value Stream Mapping, and ECRS, were systematically implemented to optimize the milling process and enhance internal logistics. Results: The enhanced process resulted in a 22.73% reduction in processing time, a 10–15% drop in operational costs, and a lower broken rice rate from 10–12% to 7–8%. Overall Equipment Effectiveness (OEE) significantly increased from 59.94% to 80.47%, reflecting better machine availability, performance, and product quality. Implications: The findings demonstrate the effectiveness of participatory Lean implementation in boosting efficiency and internal logistics, which fosters socio-technical resilience in rural agro-industries. This study provides a replicable model that integrates technical efficiency with community knowledge for sustainable development. Originality/value: This research contributes to the literature on Lean Manufacturing in agriculture by offering a scalable framework to improve internal logistics and support grassroots development.
Abstract
Purpose: Amid the evolving landscape of consumer behaviors and increasing sustainability demands within the agricultural sector, Thailand’s buffalo industry presently lacks the strategic supply chain integration vital for cultivating lasting consumer confidence. This study employs a mixed-methods approach to elucidate the mechanisms linking supply chain management, consumer perception, and the acceptance of buffalo products in developing countries, aiming to inform effective supply chain and market strategies. Design/methodology/approach: Qualitative data were collected through comprehensive interviews with stakeholders throughout the supply chain, including upstream actors such as buffalo farmers, midstream entities such as processors and distributors, and downstream sectors including government agencies, private entities, and policymakers. These insights were integrated with a quantitative analysis of 385 consumers, utilizing Structural Equation Modeling (SEM) to identify determinants that influence consumer acceptance. Findings: The study highlights that institutional collaboration among public, private, and academic sectors is crucial for dynamic supply chain integration. Perceived Consumer Awareness directly influences Trust, which significantly affects buffalo product acceptance, per the Innovation Adoption Theory framework. Originality/value: This research proposes strategic approaches to strengthen supply chain resilience through vertical and horizontal integration, enhancing stakeholder collaboration and efficiency to support innovative policies, effective communication, and value co-creation in Thailand’s growing buffalo industry.
Abstract
Purpose: This study investigates the impact of delivery services (DS) on customer loyalty (CL) in Vietnamese cross-border fashion e-commerce (CBEC), focusing on the dual mediating roles of customer satisfaction (CS) and trust (CT). Design/Methodology/Approach: We conducted a quantitative survey of 668 Vietnamese consumers who purchased fashion products via CBEC platforms in the past 12 months. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 3.0. Findings: DS significantly influenced CS (β = 0.677, p < 0.001) and CT (β = 0.702, p < 0.001). CS exhibited a stronger direct effect on CL (β = 0.581) than CT (β = 0.264), with both mediating the DS-CL relationship (CS: β = 0.393; CT: β = 0.185). The model explained 62.3% of the CL variance (R² = 0.623), revealing a satisfaction-dominant loyalty pathway unique to Vietnamese consumers. Originality/Value: This is the first study to validate a dual-mediation model in Vietnamese CBEC, contributing to the consumer behavior theory in emerging markets. Practical Implications: Retailers and platforms should prioritize delivery speed and reliability to enhance satisfaction and trust, driving customer retention in Vietnam’s growing CBEC market.
Abstract
Purpose: This study investigates the relationship between green innovation (GI) and sustainable performance (SP) in the distribution channels of the construction material retailing and wholesaling sector. Its primary contribution is empirically examining the mediating mechanism of green supply chain management (GSCM) to resolve theoretical ambiguities in the GI-GSCM relationship. Research design, data and methodology: Using survey data from 335 firms in Vietnam's construction distribution sector, this research employs Structural Equation Modeling (SEM) to test the hypothesized theoretical framework. Results: The results offer compelling evidence for the proposed model. Green innovation—driven by supplier cooperation (β = 0.405) and regulatory compliance (β = 0.218)—positively influences GSCM adoption. GSCM, in turn, fully mediates the relationship between GI and sustainable performance, with its strongest impacts on social (β = 0.489) and environmental (β = 0.383) dimensions. The analysis confirms that environmental performance is a strong predictor of economic performance (β = 0.361), whereas the direct GSCM-to-economic performance link is minimal (β = 0.086), highlighting a nuanced pathway to profitability. Conclusions: The study yields critical implications for managerial strategy and public policy. Findings underscore the necessity for firms to foster green innovation as a foundational driver for implementing robust GSCM practices, rather than as a standalone goal. This approach establishes a clear trajectory for advancing green logistics and enhancing the holistic sustainability of Vietnam's construction industry.
Abstract
Purpose: By combining entertainment, user-generated content (UGC), and e-commerce features, digital platforms—particularly TikTok—are changing how consumers behave and interact with marketing messages. TikTok has developed into a powerful communication tool in Vietnam, where customers are beginning to trust key opinion consumers (KOCs) more when making decisions about what to buy. User-generated content produced by key opinion consumers (UGC by KOCs), has the power to impact consumer behavior through emotional appeal, informativeness, entertainment value, and educational value. This is due to its emotional qualities, personal experience, and high recommendability. This study uses the Elaboration Likelihood Model (ELM) to investigate how social and content factors—such as online opinion leadership and parasocial interaction—affect users' intentions to share and shop on TikTok. Research design, data and methodology: A structured questionnaire was used to gather data from 568 TikTok users in Ho Chi Minh City, and the PLS-SEM method was used for analysis. Results: The findings demonstrated that while viewer arousal was significantly influenced by content factors, viewer arousal only had an effect on sharing intention; purchase intention was not significantly impacted. In the meantime, both intentions benefited from social factors. Conclusions: The study helps to expand the ELM model for short videos and offers useful advice for companies looking to maximize user-generated content on TikTok in order to enhance marketing efficacy and establish brands.
Abstract
Purpose: Socially Responsible Human Resource Management (SRHRM) is a vital intersection of CSR and HRM, integrating ethical, social, and environmental values into HR practices. Its strategic role is evident in distribution-driven industries—such as logistics, trade, and global supply chains—where workforce decisions directly influence service efficiency, compliance, and labor resilience. However, existing studies are fragmented and lack a visualized overview of the field’s intellectual development. This study provides a comprehensive and replicable bibliometric review of SRHRM literature. Research design, data, and methodology: A systematic literature review combined with bibliometric analysis was conducted using Scopus and Web of Science data. Following PRISMA screening, 110 peer-reviewed articles (2008–2024) were analyzed with VOSviewer and Biblioshiny for keyword co-occurrence, author collaboration, and thematic mapping. Results: Five thematic clusters emerged: sustainable HRM; employee commitment and trust; CSR and resource management; ethical leadership; and organizational sustainability. Outcomes such as task performance, prosocial motivation, and moral identity are among the most frequently appearing and consistently linked, especially in logistics contexts. Conclusions: This review maps SRHRM’s intellectual structure and identifies emerging themes including ethical leadership, stakeholder engagement, and cultural diversity. Future research: Studies should examine SRHRM in digital transformation, developing economies, and public or multinational sectors to enhance ethical labor governance.
Abstract
Purpose: The study aims to examine the factors affecting the intention to continue using travel product mobile apps by utilizing the Value-based Adoption Model. By verifying the influence relationship between perceived benefits, perceived risks, perceived value, satisfaction, and intention to continue using travel product mobile apps, this study aims to reveal factors that can improve the quality of relationship with consumers from the service perspective rather than the technical acceptance of travel product mobile apps and suggest practical solutions for mobile apps. Research design, data and methodology: This study targeted people in their 20s to 40s who are likely to use travel-related mobile apps. The study was conducted over of approximately two months from April 1 to May 30, 2025, and a total of 274 answers were used for statistical analysis. Results: The results showed that enjoyment and usefulness cause a positive (+) effect on perceived value, while perceived risk had a negative (-) effect on perceived value, and technical stress had no effect on perceived value. Perceived value was found to cause a positive effect on satisfaction and to play a complete mediating role in the intention to continue using the product. Conclusion: It is necessary to establish specific, actionable strategies to connect the value that customers perceive with satisfaction. It would be useful to classify customers according to their satisfaction levels, build personalized services based on satisfaction levels, and develop a system that can measure satisfaction in real time.
Abstract
Purpose: This study examines the influence of support quality in airline and distribution sector chatbot services on customer satisfaction and usage intention. As AI-powered chatbots become essential in these industries’ customer service landscape, understanding how different types of support affect user behavior is important. Research design, data and methodology: The research conceptualizes support quality in two dimensions: emotional support and informational support. A structural equation modeling (SEM) approach was employed to test four hypotheses. Data were collected through a survey of airline chatbot users in Korea, resulting in 368 valid responses. Confirmatory factor analysis and model fit indices were used to validate the measurement and structural models. Results: Both emotional and informational support showed statistically significant positive effects on customer satisfaction and continued usage intention. Informational support had a slightly stronger influence on continued usage. The explanatory power (R²) of support quality on customer satisfaction and continued usage intention was 37.7% and 48.3%, respectively. Conclusions: This study highlights the importance of enhancing both emotional and informational dimensions of chatbot service quality. Practical implications suggest that airlines and distribution firms should design chatbot systems capable of not only providing accurate information but also responding with empathy to strengthen long-term customer engagement.
Abstract
Purpose: As brands increasingly adopt temporary retail spaces to create immersive consumer experiences, pop-up stores have become a key channel for engaging customers. This study examines how experiential factors in pop-up stores influence consumers’ emotional responses and behavioral intentions by integrating Schmitt’s experiential marketing theory with the PAD emotional response model. It also addresses a research gap by applying both frameworks in the context of short-term brand spaces, which have been underexplored in existing literature. Research Design, Data, and Methodology: A survey was conducted with 120 consumers who had visited a pop-up store. The study tested 16 hypotheses using structural equation modeling to analyze the effects of five experiential dimensions—sense, feel, think, act, and relate—on emotional responses (pleasure and arousal), and the subsequent impact of these emotions on behavioral outcomes, including visit intention, information-sharing intention, and impulse buying. Results: Sensory and relational experiences significantly enhanced pleasure, while sensory, cognitive, and relational experiences increased arousal. Pleasure positively influenced visit intention and information-sharing intention. Arousal affected impulse buying. Conclusions: The findings highlight the central role of emotional engagement in temporary retail spaces. This study contributes to experiential marketing research by bridging two theoretical frameworks and offers insights for marketers aiming to design emotionally compelling pop-up store environments.
Abstract
Purpose: This study aims to empirically investigate the impact of corporate social responsibility (CSR) on financial performance among firms in the logistics and distribution industries. Research design, data and methodology: The empirical analysis is based on panel data from 1,145 firm-year observations of logistics and distribution companies listed on the Korean stock exchange between 2011 and 2022. CSR performance is measured using two variables: (1) CSRD, a dummy variable indicating whether a firm is included in the top CSR group selected by the Korea Economic Justice Institute (KEJI); and (2) CSRS, a continuous score assigned by KEJI reflecting the intensity and quality of CSR activities. Multiple regression analyses were conducted to test the relationship between CSR engagement and ROA. Results: The analysis reveals that both CSRD and CSRS are positively associated with ROA. The CSRS variable also shows a positive effect at the 10% significance level. Conclusions: These findings provide empirical support for the view that CSR contributes to superior financial outcomes in industries where stakeholder trust, public reputation, and consumer loyalty are critical. The results align with stakeholder theory and the resource-based view, suggesting that CSR is not merely a reputational tool but a value-creating activity