10papers in this issue.
Purpose: This study explores the role of digital transformation in enhancing responsible food production and distribution within Nigerian manufacturing firms, focusing on supply chain digitization and predictive maintenance. While digital technologies hold significant potential to reduce waste, improve energy efficiency, and optimize distribution, adoption barriers in Nigeria have contributed to persistent food waste, high energy consumption, and inefficiencies in logistics and distribution systems. Research design, data, and methodology: Based on the resource-based view theoretical foundation, the study adopts a survey research design. Primary data were collected through a closed-ended structured questionnaire. This was administered to 274 production engineers and warehouse managers and food items distributors, IT professionals and supply chain managers in the Nigerian food manufacturing sector. The Partial Least Squares – Structural Equation Modelling (PLS-SEM) was employed to analyse the data using SmartPLS software. Results: The results demonstrate that supply chain digitization and predictive maintenance significantly enhance responsible food production and distribution by reducing waste and improving logisticsresource efficiency. Conclusions: The study underscores the critical role of digital transformation tools in achieving sustainability in food production and distribution. The implication is by integrating digitalisation into food supply chain processes and functions, manufacturing industry can realize their responsible production goals.
Purpose: This research examined how knowledge management affects innovation capacity and distribution channel performance in Vietnam's hospitality industry. While knowledge management has been extensively studied, its dual effect on innovation and distribution channels remains underexplored in emerging markets' hospitality sector, particularly considering the unique cultural context of relationship-based business practices in Vietnam. Research design, data, and methodology: Using a quantitative approach, data were collected from 178 senior executives of hospitality through a structured questionnaire. The study employed established scales adapted from prior research, measuring all items using a five-point Likert scale. Smart-PLS analysis revealed that all three dimensions of knowledge management—acquisition, dissemination, and utilization—positively influenced innovation capacity and distribution channel performance. Results: Knowledge utilization demonstrated the most potent effect on innovation capacity, while innovation capacity showed the most substantial impact on distribution channel performance. Mediation analysis revealed that innovation capacity partially mediates the relationship between knowledge management dimensions and distribution performance, with the most substantial indirect effect through knowledge utilization. Conclusions: The findings contributed to both theory and practice by establishing the crucial role of knowledge management in enhancing operational performance through innovation capacity in the hospitality sector while highlighting the importance of cultural factors in knowledge management effectiveness within Vietnam's unique business environment.
Purpose: In light of the adverse effects of economics on the environment, corporations have recognized the necessity for sustainable practices in supply chain management, particularly in retail. The global movement towards sustainable development is increasingly drawing academic interest in the research issue of green practices within the retail industry. It is acknowledged that previous research has approached such a subject from various perspectives, methods, and contexts, leading to inconsistent results, which creates the need for a systematic review regarding the mentioned topic. Research design, data, and methodology: This study utilizes the Scopus database to aggregate research on "green practices in retail." Through the data cleaning process, the refined dataset is analyzed using VosViewer 1.6.20, conducting citation analyses of documents, authors, organizations, journals, and countries, followed by co-occurrence analysis of research keywords and bibliographic coupling analysis. Results: The study initially delineates the evolution of this research subject over 14 years, from 2010 to 2024, highlighting the most referenced papers, authors, organizations, journals, and countries. The research delineates the main research directions, hence finding gaps in the literature. Conclusions: The study proposes a future research agenda based on the results of the analyses
Purpose: This study aims to identify the key determinants influencing the adoption of digital payment methods (DPMs) and to examine the primary channels through which these methods are commonly utilized. Research design, data and methodology: A survey of 811 residents from the Northern mountainous region was conducted, and the collected data were analyzed using the multivariate probit model. Results: Descriptive analysis indicates that Bank transfers are the most widely adopted DPMs, followed by Smart Banking/QR codes, E-wallets, and Visa cards. High adoption rates in retail, utility payments, and online shopping highlight the immediate value and convenience these contexts offer users. The main result further uncovers notable differences in the distribution and usage of DPMs influenced by socioeconomic and contextual factors. Conclusions: Key motivators for adoption include habitual use, prior exposure, and promotional incentives. Investments in digital infrastructure are critical to bridging the urban-rural divide, particularly in rural areas. Financial literacy programs tailored to rural populations can enhance familiarity with DP systems, especially Smart Banking/QR codes and Visa cards. The findings provide actionable insights for stakeholders, including policymakers, financial institutions, and technology providers, to foster a more inclusive and accessible DP ecosystem.
Purpose: This study examines key supply chain factors shaping customer satisfaction and their effect on customer loyalty in Vietnam. It explores flexibility, agility, responsiveness, delivery, service quality, cost, personal factors, and product quality to understand how these elements influence satisfaction and subsequently loyalty. Research Design and Methodology: Data were collected from 446 Vietnamese consumers and analyzed using structural equation modeling (SEM) to uncover relationships between supply chain variables, customer satisfaction, and loyalty. Results: The analysis reveals that flexibility, agility, responsiveness, delivery, service quality, and cost positively influence customer satisfaction, thereby promoting loyalty. Personal factors yield mixed effects, while product quality shows no significant impact. These insights emphasize adopting agile, responsive strategies to meet customer expectations in volatile markets like Vietnam. Conclusions: This research enriches the understanding of consumer satisfaction and loyalty drivers in fast-paced environments. Findings highlight the importance of competitive pricing, service quality enhancements, and optimized logistics for timely delivery. By focusing on these areas, companies can improve their market position and strengthen customer loyalty in dynamic business settings. Managers are advised to continuously refine these strategies, incorporating emerging technologies and data-driven insights, to maintain alignment with evolving consumer demands. Such efforts foster long-term loyalty and enhanced market resilience.
Purpose: This study investigates the factors influencing the adoption of Autonomous Delivery Vehicles (ADVs) in China, focusing on consumer adoption intentions in last-mile delivery. By extending the Diffusion of Innovations (DOI) theory, the research explores traditional and novel constructs impacting the acceptance of this delivery technology. Research Design, Data, and Methodology: The study develops a model combining DOI theory constructs (relative advantage, complexity, compatibility) with factors like hedonic motivation, trust, social awkwardness, and public environment impact. A survey of Chinese consumers assessed their adoption intentions for ADVs, focusing on willingness to trial, preferences, and daily integration, analyzed through statistical methods. Results: Findings show relative advantage as the strongest adoption predictor, while complexity hinders adoption, emphasizing user-friendly designs. Compatibility with habits significantly impacts adoption. Social awkwardness suggests reducing social interactions can enhance ADVs’ appeal, highlighting the importance of both traditional and novel factors in promoting ADV adoption. Conclusion: The study highlights the significance of both traditional and new factors in promoting ADV adoption. Service providers should focus on improving operational efficiency, simplifying usage, and ensuring compatibility with consumer behaviors. The findings also suggest that reducing social interactions could enhance the appeal of autonomous services, aligning with changing societal attitudes toward privacy.
Purpose: This paper is a meta-analysis of the relationship between entrepreneurship performance in the beauty industry and its success factors, examining key factors for success in the beauty industry and offering practical findings for the field. Research design, data, and methodology: In this study, selected papers were coded based on predetermined criteria to perform the meta-analysis. The coding items included researcher, publication year, correlation coefficients, sample size, characteristics, and study type. Using this data, a meta-analysis was conducted with the Comprehensive Meta-Analysis (CMA) Version 3 software developed by Biostat in the United States. Results: The analysis model was tested for homogeneity, and the overall mean effect size was calculated. Publication bias was assessed using a Funnel plot, and a meta-regression analysis based on the publication year was conducted, yielding significant results. Conclusions: This study analyzed key factors influencing entrepreneurship performance in the beauty industry but has limitations such as reliance on domestic research and exclusion of qualitative factors. Future research should incorporate global data, compare subfields within the beauty industry, and combine qualitative and quantitative methods. It should also investigate the impact of advanced technologies and government policies on the performance of entrepreneurship in the beauty industry, including services and goods, for deeper insights.
Purpose: Despite the rapid digital transformation in the distribution industry fueling expectations, the widespread adoption of Bitcoin payment systems remains limited. This study investigates consumer-perceived barriers to the commercialization of Bitcoin payments, empirically analyzing their influence on perceived ease of use, perceived risk, and overall innovation resistance. Research design, data and methodology: A survey was conducted with 497 adult men and women in South Korea who had an understanding and usage experience of Bitcoin. The collected data was analyzed using the SPSS 27.0 and Amos 23.0 programs. Specifically, Structural Equation Modeling (SEM) was performed to estimate the path coefficients of the research model, and Bootstrapping was applied to test the mediation effects. Results: The results indicate that institutional trust positively influences perceived ease of use and negatively impacts perceived risk. Conversely, complexity and status quo bias negatively affect perceived ease of use while positively influencing perceived risk. Furthermore, the results indicate that perceived ease of use reduces innovation resistance, whereas perceived risk increases it. Conclusions: This study highlights the critical role of innovation resistance in designing effective Bitcoin payment systems and fostering consumer adoption, contributing to the distribution industry's sustainable growth through innovative payment solutions.
This study examines the correlation between Logistics Service Quality and Customer Satisfaction in Indonesia's e-commerce distribution channels. As the e-commerce distribution channel in Indonesia is rapidly growing, logistics services become the backbone of this industry. This research aims to identify the factors that correlate positively and significantly with customer satisfaction. Research design, data, and methodology: This research employs an explanatory quantitative approach. This study surveyed 516 e-commerce users in Indonesia. We collected data via the survey web platform (Jakpat) using non-probability purposive sampling. The study used SmartPLS and Partial Least Squares Structural Equation Modeling (SEM-PLS) to examine how the quality of logistics services affects customer satisfaction. Results: The finding reveals a positive and significant correlation between (1) Timeliness and Customer Satisfaction, (2) Order Discrepancy and Customer Satisfaction, (3) Order Condition and Customer Satisfaction, and (4) Operational Information Sharing and Customer Satisfaction. However, there is a hypothesis that is rejected because the result was negative and significant between Personnel Contact Quality and Customer Satisfaction. Conclusions: This research contributes to the field of distribution science by demonstrating how Logistics Service Quality influences Customer Satisfaction in the e-commerce industry. The findings offer insights into optimizing distribution strategies through timeliness, order discrepancy, order condition, and operational information-sharing performance.
Purpose: This study explores the role of distribution channels and logistics management in empowering Micro, Small, and Medium Enterprises (MSMEs) within the context of Community-Based Tourism (CBT) in Pawan Village and Sialang Jaya Village, Indonesia. Research design, data and methodology: This study used the AHP method with a mixed-methods approach. Data were collected through observations and interviews from 100 respondents. The Analytical Hierarchy Process (AHP) is used to prioritize key development areas such as infrastructure improvement, MSME empowerment, and tourism promotion. Result: The findings indicate that efficient supply chain management (SCM) and the adoption of digital technologies such as e-commerce and customer relationship management (CRM) are essential in broadening market reach and enhancing MSME operational efficiency. Additionally, collaboration between local governments and MSMEs in developing infrastructure plays a critical role in fostering sustainable tourism. Conclusions: This study emphasizes the importance of distribution economics and logistics management in creating sustainable tourism and empowering MSMEs in rural areas. A strong integration between digital technology, distribution management, and infrastructure development will be a solid foundation for developing community-based tourism in areas with tourism potential but limited access to logistics and distribution. The study importance of economic distribution for sustainable tourism.