Purpose: This study examines the role of the Input-Output (I-O) model in Vietnam's economic planning and proposes a practical 4sector I-O framework (comprising Agriculture, Industry, Construction, and Services) for sectoral production planning, price management, and macroeconomic policy evaluation. Research design, data and methodology: We construct a demand-driven I-O model by aggregating Vietnam's official Input-Output table into four sectors (Agriculture, Industry, Construction, Services). Using secondary data from the General Statistics Office and government documents, we calculate the direct input coefficient matrix (A), Leontief inverse C = (I - A)-1, primary input matrix (B), and final demand vectors. A dual-block (output + price) system forecasts 2024 sectoral output consistent with GDP targets and simulates price effects of wage increases and VAT reductions. Results: The model produces feasible sectoral output plans while revealing heterogeneous inflation: We expect agricultural, industrial, and service sectors to grow at different rates in 2024. The salary increases and VAT reduction will lead to higher price inflation in agriculture and services while industry and construction will experience more moderate price changes. Conclusion: The study reaffirms the analytical strength of the I-O framework in developing economies. The compact, Excel-based 4-sector model provides planners with a replicable and easily updated tool to balance growth and price stability, thereby strengthening evidence-based macroeconomic management in Vietnam.
Purpose: This study aims to identify and empirically assess the key determinants influencing inventory management effectiveness among retail enterprises in Vietnam in the context of intensifying competition and ongoing digital transformation. Research design, data, and methodology: A mixed-methods approach was employed, combining qualitative insights with quantitative analysis to enhance contextual relevance and analytical rigor. Data were collected from 180 retail firms using quota sampling across major economic regions in Vietnam. The analytical procedure included Cronbach's Alpha to assess reliability, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) to validate measurement constructs, and Structural Equation Modeling (SEM) to examine the proposed relationships. Results: The findings show that information technology, financial resources, managerial capability, and managerial attitudes have significant positive effects on inventory management effectiveness. Among these factors, information technology exerts the strongest influence, contributing to improved inventory accuracy, more effective control, and enhanced operational performance. The structural model explains a substantial share of variance in inventory management, indicating strong explanatory power. Conclusions: This study provides empirical support for lean management theory in the retail sector of an emerging economy and highlights the importance of sustained technological investment and managerial capability development in improving inventory management performance and sustaining competitive advantage.
Purpose: Digital content marketing (DCM) is increasingly central to tourism industry as it shapes engagement and trust across tourism service distribution channels and platform-mediated trade. This study aims to map the knowledge structure and thematic evolution of DCM research in tourism over time. Research design, data and methodology: The study analyzed 853 Scopus indexed documents published between 2006 to 2024 using bibliometric techniques and VOS viewer-based science mapping and content analysis, including co-authorship, bibliographic coupling, and keywords co-occurrence analyses. Results: Publications grew through 2018 and accelerated after 2019. Four clusters dominate the field: social media in tourism distribution, visual and user-generated content, informational and emotional content strategies, and advanced analytics and AI enabled approaches. Additionally, China has been identified as the key contributor to publications in this field, followed closely by the United States. Conclusion: DCM should be treated as both a communication and distribution mechanism. Tourism firms and destination marketing organizers can improve channel performance by aligning platform specific content with channel roles, governing reviews and influencer collaborations to strengthen credibility, and using analytics to monitor destination image signals. These practices can reduce information gaps and support conversion from search to booking outcomes within tourism service distribution systems.
Purpose: This study aims to conceptualize information service provision in private and special libraries as a structured distribution system. Drawing on distribution theory, it examines how value is created and transferred through temporal coordination, spatial allocation, and transaction structures within client-oriented information environments. Research design, data and methodology: This study adopts an integrative literature review approach grounded in established frameworks of service-dominant logic and supply chain management. A systematic selection of peer-reviewed studies from Google Scholar, Scopus, and related databases was conducted. The analysis synthesizes prior research on value co-creation, information services, and distribution systems to construct a conceptual framework aligned with distribution perspectives. Results: The findings demonstrate that information services in private and special libraries operate as multidimensional distribution systems. Temporal coordination enables timely access to information resources, spatial allocation expands accessibility across physical and digital platforms, and transaction structures regulate client access and usage rights. These mechanisms collectively facilitate value creation and transfer between information providers and clients. Conclusions: Finally, the current study contributes to literature by reframing libraries as information distribution systems rather than passive service providers. It extends distribution theory to knowledge-intensive service contexts and offers practical implications for enhancing client-oriented service design in private and special libraries.
Purpose: This study examines the factors influencing passengers' intention to use pioneer mobility and delivery services in remote Indonesian regions, positioning service quality as a strategic driver of sustainable service utilisation. Pioneer transportation in Indonesia's underdeveloped, frontier, and outermost (3T) areas serves a dual function, transporting passengers while simultaneously facilitating the delivery of goods, making it a critical node in the regional distribution science ecosystem. Research Design and Methodology: A quantitative explanatory approach was applied using cross-sectional survey data collected from users of government-subsidised pioneer transportation services in underdeveloped, frontier, and outermost areas. The data were analysed using Partial Least Squares Structural Equation Modeling with SmartPLS to examine the relationships among transportation performance, bus-crew performance, service quality, and intention to use. Results: Transportation performance and bus-crew performance positively and significantly influence service quality. Service quality also shows a strong positive effect on passengers' intention to continue using Pioneer transportation services. Both technical attributes and human interaction aspects contribute jointly to shaping behavioural intention. Conclusion: Service quality functions as a critical mediator and strategic driver in pioneer mobility and delivery services. Strengthening operational performance and human-centred service delivery enhances distribution science outcomes in remote regions, offering actionable implications for policymakers and transport operators committed to equitable regional connectivity and sustainable service utilisation.
