The Journal of Distribution Science, KODISA Foundation

PDF Citaion Data-Driven Labor Market Analytics for Diagnosing Workforce Constraints in Retail and Distribution Systems

Leyla GAMIDULLAEVA ; Mikhail DEEV ; Anel KIREYEVA ; Alexey FINOGEEV ; Svetlana KOZHIROVA pp.1-17 https://doi.org/10.15722/jds.24.03.202603.1

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Purpose: This study examines competence gaps as a structural constraint hindering retail and distribution systems' adaptation to digitalization and omnichannel models. Departing from a pedagogical perspective, it treats workforce competencies as an operational resource of these systems. Consequently, educational programs are analyzed not as a primary object of study, but as an institutional benchmark and proxy for interpreting competence demand within retail and distribution systems. Research design, data and methodology: The analysis uses vacancy data (approximately 1.2 thousand postings from the Penza regional market, 2024) for retail, logistics, and SCM occupations. Applying semantic text analysis and machine learning (NLP, clustering), skills were aggregated into competence profiles to identify misalignments between employer demand and institutional benchmarks from university programs. Results: Results show that modern systems rely on hybrid competence configurations combining digital, analytical, managerial, and customer-oriented components. These configurations are linked to inventory coordination, logistics responsiveness, and omnichannel service quality but remain poorly reflected in institutional benchmarks. Conclusions: The study demonstrates that vacancy-based labor market analytics can serve as a distribution-oriented diagnostic tool for identifying workforce-related coordination constraints. The proposed framework provides a data-driven basis for strengthening adaptive capacity in retail and distribution systems.

PDF Citaion International Collaboration in Distribution Science and Logistics Research: Evidence from Central Asian Markets

Ivan DIGEL ; Peter KARACSONY ; Marat URDABAYEV ; Gulbakhyt OLZHEBAYEVA ; Adina TSOY pp.19-50 https://doi.org/10.15722/jds.24.03.202603.19

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Purpose: This study investigates the patterns of international research collaboration in distribution science, retail management, and logistics studies in Central Asian emerging markets, with a particular focus on Kazakhstan. Research design, data, and methodology: Using bibliometric network analysis, the study analyzes 3,671 Scopus-indexed publications (2014–2024) affiliated with Central Asian institutions in distribution-related subject areas. Co-authorship networks, keyword co-occurrence maps, and citation overlay analyses are employed to identify collaboration structures, dominant research themes, and their relationship with citation performance. Publications were categorized into internationally co-authored (n=1,549) versus domestic-only (n=2,122) papers for comparative citation analysis. Results: The findings reveal a significant citation premium for internationally co-authored papers, which receive, on average, 89% more citations (mean=10.8) than domestic-only publications (mean=5.7). The co-authorship network analysis identifies a paradigm shift from traditional post-Soviet collaboration patterns toward diversified partnerships with Western European, East Asian, and North American institutions. The International Collaboration Rate increased from 27.0% in 2014 to 46.0% in 2024. Keyword analysis indicates strong alignment between regional research output and global trends in distribution science, particularly in e-commerce logistics, supply chain management, and sustainable distribution systems. Conclusions: This study contributes to the understanding of research internationalization dynamics in emerging markets and provides evidence-based recommendations for science policy aimed at enhancing research impact through strategic international collaboration in distribution science.

PDF Citaion Linking Internal Readiness, Distribution Factors, and Technology Adoption to Competitive Advantage

Kusuma SOYTHONG ; Seksan WERASUK pp.31-45 https://doi.org/10.15722/jds.24.03.202603.31

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Purpose: This study examines the effects of internal readiness, distribution factors, and technology adoption on competitive advantage in small-scale border retail firms. Research design, data and methodology: Data were collected through online questionnaires administered to store owners and managers, with reliability confirmed by Cronbach’s alpha values ranging from 0.822 to 0.960. Results: Structural equation modeling with bootstrapping indicates that internal readiness has a strong positive effect on technology adoption (β = 0.876, p < 0.001). However, internal readiness (β = 1.527, p = 0.269) and distribution factors (β = 0.749, p = 0.081) do not have a direct effect on competitive advantage. In addition, distribution factors do not significantly influence technology adoption (β = 0.135, p = 0.453), and technology adoption alone does not directly enhance competitive advantage (β = −1.267, p = 0.435). Mediation analysis further reveals that technology adoption does not mediate the effects of internal readiness or distribution factors on competitive advantage. Conclusions: The findings suggest that internal readiness is a key driver of technology adoption, while technology adoption functions primarily as an enabler rather than a direct source of competitive advantage. Distribution factors support the process, but achieving competitiveness requires the strategic integration of internal capabilities.

PDF Citaion Developing a Port Handling Model to Support Cross-Docking in Archipelagic Logistics: A Discrete-Event Simulation Study

Albertus Laurensius SETYABUDHI ; Rosnani GINTING ; Hermansyah ; Meylia Vivi PUTRI ; Amelia Rachmi NASUTION ; Okta VEZA pp.43-55 https://doi.org/10.15722/jds.24.03.202603.43

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Purpose: Indonesia’s archipelagic geography creates long lead times, high logistics costs, and persistent container dwelling time at major ports. This study develops and evaluates a port-handling model that supports cross-docking to reduce dwelling time and improve inter-island distribution performance. Research design, data and methodology: A multi-level framework is implemented as a discrete-event simulation of Batu Ampar Port (Batam) as a representative domestic container hub. The model integrates material, information, and financial flows and is parameterised using port operational data and national statistics. Scenario experiments compare a baseline storage-oriented system with cross-docking-oriented configurations under demand shocks, route delays, and supply disruptions, supported by expert review and variance-based output analysis. Results: Cross-docking-oriented handling reduces simulated dwelling time and total distribution lead time from major origin ports to surrounding islands while preserving realistic system behaviour. Key bottlenecks concentrate in job-order processing, truck arrivals, and outbound ferry capacity, particularly on routes to Natuna and Anambas. The model is robust to cost-parameter changes but sensitive to capacity and availability shocks. Conclusions: Port handling is a strategic lever in archipelagic logistics. Cross-docking supported by integrated information systems and targeted capacity upgrades on critical routes can improve efficiency and reliability and strengthen domestic maritime connectivity.

PDF Citaion From Cost to Value: A Scientometric Exploration of Sustainable Supply Chain Management

Irma SURYANI ; Muhammad SYAHRUDIN ; Laras Angelia Nirwana SARI ; Sani SUSANTO ; Sudarso Kaderi WIRYONO ; Vip PARAMARTA ; Tri Basuki KURNIAWAN ; Deshinta Arrova DEWI pp.57-71 https://doi.org/10.15722/jds.24.03.202603.57

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Purpose: This study aims to map the scientific landscape of Sustainable Supply Chain Management (SSCM), particularly its implications for modern distribution systems and its linkage to accounting and finance. this research addresses the limited evidence on how sustainability practices are integrated into corporate reporting and financial performance measurement. Research design, data and methodology: A combined Systematic Literature Review (SLR) and scientometric analysis was conducted using the Scopus database and Watase Uake software. Following the PRISMA protocol, 39 peer-reviewed articles published between 2015 and 2025 were identified. Results: Findings reveal a growing body of SSCM research, with China, Italy, and the United Kingdom as leading contributors. Three thematic clusters dominate the field: green supply chain and environmental performance; sustainability disclosure and corporate governance; and financial implications of SSCM practices. Thematic evolution shows a shift from cost-efficiency to value-based sustainability, although empirical findings on the relationship between sustainability disclosure and financial indicators remain inconsistent. Conclusion: This study highlights the underexplored accounting–finance dimension of SSCM and identifies potential mediating and moderating mechanisms, including corporate reputation, governance quality, and investor perceptions. The findings provide insights for policymakers and firms to enhance transparency and accountability in sustainability reporting, particularly in emerging economies.

PDF Citaion Digital Transformation Driving Customer Participation, Innovation, and Competitive Advantage in Logistics Enterprises

Van Van NGUYEN ; Thuc Duy NGUYEN ; Quyet Xuan NGUYEN pp.73-86 https://doi.org/10.15722/jds.24.03.202603.73

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Purpose: This study examines the impact of digital transformation on the competitive advantage of logistics enterprises, with a focus on the mediating roles of customer participation and innovation. Customer participation is highlighted as a key mechanism enabling enterprises to co-create service value, enhance customer experience, and foster innovation. Research design, data, and methodology: A quantitative approach was adopted using survey data from 380 managers in logistics enterprises in Ho Chi Minh City, Vietnam. Structural equation modeling (SEM) was employed to test the proposed relationships among digital transformation, customer participation, innovation, and competitive advantage. Results: The findings demonstrate that digital transformation has both direct and indirect effects on competitive advantage through customer participation and innovation. Additionally, IT infrastructure, digital leadership capability, organizational agility, competitive pressure, and government support positively influence digital transformation. Conclusions: The study underscores the central role of digital transformation in enhancing competitive advantage. It further emphasizes customer participation as a catalyst for innovation and value co-creation. These findings contribute empirical evidence to the literature and provide practical implications for logistics enterprises seeking to implement digital transformation effectively and sustain competitiveness in a dynamic market environment.

PDF Citaion Determinants of Behavioral Intentions in Online Food Delivery Service Distribution in Vietnam

Tri Cuong DAM pp.87-95 https://doi.org/10.15722/jds.24.03.202603.87

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Purpose: This research integrates the Technology Adoption Model (TAM) and the Theory of Planned Behavior (TPB) to examine the determinants of consumers' behavioral intentions towards online food delivery (OFD) service distribution. It extends TAM by incorporating variables such as perceived ease of use (PEU), perceived usefulness (PU), and time-saving benefit (TSB) as antecedents of attitude towards OFD. Research design, data, and methodology: A non-probability sampling method was employed in this study, with 308 customer intentions toward OFD collected through a Google Forms questionnaire. The analysis utilized SmartPLS to confirm the constructs' reliability and validity and to examine the proposed hypotheses. Results: These findings showed that users' attitudes in OFD-based distribution systems were significantly influenced by PU and TSB, while PEU had no effect. In addition, attitudes, subjective norms (SN), and perceived behavioral control (PBC) were found to have a positive relationship with behavioral intentions regarding OFD. Conclusion: This study enhances the understanding of the key factors that shape consumers' behavioral intentions regarding OFD. It also offers insights for OFD service distribution managers by highlighting how PU and TSB influence users' attitudes toward OFD. Additionally, it clarifies how attitudes, SN, and PBC collectively drive consumers' behavioral intentions to use OFD service distribution.

PDF Citaion Application of The Travel Cost Method to Estimate The Tourism Value of Dao Co Ecological Tourism Area, Hai Duong, Vietnam

Cao Thi THANH ; Nguyen Thi Mai HUONG ; Le Thi Phuong NGA ; Bui Thi QUYEN ; Ashutosh MISHRA pp.97-108 https://doi.org/10.15722/jds.24.03.202603.97

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Purpose: This study aims to estimate the recreational value of the Dao Co Ecological Tourism Area in Hai Duong Province, Vietnam, and to provide empirical evidence supporting sustainable management and conservation strategies. Research design, data, and methodology: The research employs the Zonal Travel Cost Method (ZTCM) using both primary and secondary data. A total of 420 structured questionnaires were distributed to domestic tourists between January and March 2024, with 398 valid responses. Additional statistics from 2021–2023 were collected from the management board. Tourists were grouped into five zones to estimate travel costs, opportunity costs of time, and related expenditures. The demand function was derived through OLS regression, revealing a significant negative relationship between travel cost and visitation rate (R² = 0.732, p < 0.05). Results: The Dao Co Ecological Tourism Area generates an estimated annual recreational use value of approximately VND 49.49 billion, with a consumer surplus of VND 3.72 billion. These results indicate that the site provides significant economic and recreational benefits to visitors and contributes substantially to local development. Conclusion: The findings highlight the importance of integrating economic valuation into environmental decision-making and community-based ecotourism management. This study contributes to the empirical understanding of ecosystem service valuation in Vietnam and offers methodological and policy insights for sustainable tourism and resource management.

PDF Citaion Omnichannel Customer Experience in Integrated Distribution Systems: A Higher-Order Perspective

Trang Quang LE ; Thuy Thi Thu PHUNG pp.109-119 https://doi.org/10.15722/jds.26.03.202603.109

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Purpose: In increasingly integrated omnichannel environments, firms face growing challenges in coordinating distribution channels while delivering consistent experiences across multiple customer touchpoints. This study aims to conceptualize and empirically validate omnichannel customer experience (OCX) as a higher-order construct and to examine its effects on customer-driven outcomes within integrated distribution systems. Research design, data and methodology: The study employs a quantitative research design using survey data collected from 324 omnichannel consumers in Vietnam. A disjoint two-stage Partial Least Squares Structural Equation Modeling (PLS-SEM) approach is applied to validate the hierarchical reflective–formative measurement model of OCX and to assess its impact on key customer engagement behaviors relevant to distribution performance. Results: The results indicate that OCX has a significant positive influence on own purchases, incentivized referrals, social influence, and knowledge sharing, underscoring its role in shaping customer-driven outcomes that enhance distribution effectiveness. Channel consistency, personalization, product returns, and loyalty programs emerge as the most influential formative components of OCX. Conclusions: This study contributes to distribution science by validating OCX as a systemic construct and clarifying how integrated distribution design translates into customer-driven outcomes, with important managerial implications for omnichannel distribution strategy.

PDF Citaion Strategic Value Creation in Digital Content Supply Chains: Temporal, Spatial, and Ownership Transfer Mechanisms in Global OTT Platforms

Eunyoung CHOI pp.121-128 https://doi.org/10.15722/jds.24.03.202603.121

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Purpose: This study reframes global OTT content as an economic good distributed through a digital content supply chain that creates value between suppliers and subscribers. Anchored in distribution science, the study explains how value-added activities occur through temporal transfer, spatial transfer, and ownership transfer. A widely recognized Netflix title, Squid Game, is referenced as an illustrative case to keep the mechanisms concrete. Research design, data and methodology: The study conducts a structured literature review across supply chain management, service distribution, platform economics, and internet-distributed television studies. Prior research is synthesized to extract recurring mechanisms that connect upstream content production, platform governance, and downstream subscriber experience. Results: The review identifies four recurring value-creation mechanisms in OTT supply chains: (1) temporal coordination via release scheduling and pacing, (2) spatial expansion via localization and global distribution infrastructure, (3) ownership transfer via IP licensing and subscription-based access rights, and (4) visibility control via recommender systems that shape demand and attention. Conclusions: Digital content supply chains generate value by managing time, place, and ownership transitions. By translating audience-facing “experience design” into supplier-to-customer value-added activities, the study aligns OTT research with distribution science and clarifies why platform-based supply chains can amplify global reach and monetization.

PDF Citaion Human-AI Collaboration and Distribution Planning Effectiveness: Evidence from Retail Operations

Usman REHMAN pp.129-139 https://doi.org/10.15722/jds.24.03.202603.129

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Purpose: The increasing adoption of artificial intelligence (AI)–based decision support systems has transformed distribution planning processes in retail operations; however, empirical evidence explaining how human–AI collaboration influences distribution planning effectiveness remains limited. Drawing on Socio-Technical Systems theory, Human–AI Interaction theory, and Trust in Automation theory, this study examines how AI decision transparency, AI interpretability, and human–AI decision alignment relates to distribution planning effectiveness, considering the mediating role of planner trust in AI systems and the moderating role of task complexity. Methodology: Survey data were collected from 320 distribution planners and supply chain professionals working in retail firms in South Korea. The proposed mediation–moderation model was tested using partial least squares structural equation modeling (PLS-SEM). Results: The findings show that AI decision transparency and AI interpretability are positively associated with planner trust in AI systems, which in turn is linked to higher distribution planning effectiveness. Human–AI decision alignment exhibits a strong direct association with planning effectiveness. Task complexity significantly strengthens the relationship between planner trust and planning effectiveness. Conclusions: The study demonstrates that distribution planning effectiveness in retail operations depends not only on AI system capabilities but also on socio-technical alignment between AI systems and human planners. Transparent, interpretable, and trusted AI systems provide greater value in complex distribution planning environments.

PDF Citaion Friend-Shoring and Foreign Direct Investment (FDI) Flows Into Vietnam: Implications for Distribution Science in the Era of Global Supply Chain Fragmentation (2010–2025)

Thanh Binh NGUYEN pp.141-149 https://doi.org/10.15722/jds.24.03.202603.141

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Purpose: This study examines whether distribution science is associated with foreign direct investment (FDI) inflows into Vietnam under global supply chain fragmentation, and whether institutional quality and infrastructure shape this relationship. Research design, data, and methodology: Using annual data for 2010–2025 (N=16), we estimate baseline and interaction OLS time-series models with robust standard errors. Friend-shoring intensity is measured as the share of realized FDI from geopolitically aligned partner economies, fragmentation is proxied by a disruption index, and GDP, trade openness, and the exchange rate are included as controls; Durbin–Watson statistics are used to check autocorrelation. Results: Friend-shoring is positively and significantly related to total FDI inflows, while fragmentation is negatively related. Institutional quality and infrastructure display positive effects. The interaction between friend-shoring and fragmentation is negative and statistically significant, indicating that stronger fragmentation dampens the investment gains from friend-shoring. The models show strong fit (Adj. R² around 0.81–0.84), and lagged specifications yield consistent signs. Conclusions: Vietnam can attract more stable FDI by combining selective partner-based facilitation with reforms that strengthen governance, regulatory predictability, and transport–logistics infrastructure, thereby reducing vulnerability to fragmentation shocks. The evidence clarifies how alignment and domestic capacity jointly shape FDI in an emerging manufacturing hub.

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