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Journal of Supply Chain and Entrepreneurship
Published by CV. SPDF HARMONY
ISSN : -     EISSN : 3090563X     DOI : https://doi.org/10.64268/josce.v1i1.3
Core Subject : Economy,
Economics, Econometrics & Finance
Journal of Supply Chain and Entrepreneurship is a scholarly journal focused on interdisciplinary research in the fields of supply chain and entrepreneurship. The journal aims to serve as a platform for academics, researchers, and practitioners to share knowledge, findings, and innovations related to economic dynamics, management, and multidisciplinary studies in supply chain and entrepreneurship. Journal Scope: The journal covers three main areas, which can be further broken down into various subfields: Economics, Econometrics, and Finance (miscellaneous) Macro and microeconomic analysis in the context of supply chain and entrepreneurship. Econometric studies for modeling and predicting supply chain and business performance. Financial management and funding for small and medium enterprises (SMEs) and startups. The impact of global and local economic policies on supply chains and entrepreneurship. The role of fintech and financial innovations in supporting entrepreneurship. Business, Management, and Accounting (miscellaneous) Supply chain and logistics management strategies. Innovations in operations and production management. Social entrepreneurship and sustainable business practices. Risk management and supply chain resilience. Managerial accounting and business performance measurement. Leadership and decision-making in entrepreneurial contexts. Market analysis and consumer behavior in supply chains. Multidisciplinary Integration of technology (e.g., IoT, AI, blockchain) in supply chains and entrepreneurship. Studies on sustainability and corporate social responsibility (CSR) in supply chains. Cross-sector collaboration (government, private sector, and communities) for entrepreneurial development. The impact of globalization and digitalization on supply chains and entrepreneurial business models. Entrepreneurship education and human resource development in supply chain contexts. Product and service innovation in entrepreneurial ecosystems. This journal invites contributions from various disciplines to enrich the understanding and practice of supply chain and entrepreneurship. We welcome research articles, case studies, literature reviews, and conceptual papers relevant to the scope outlined above. Objectives: To promote innovative and applied research in supply chain and entrepreneurship. To bridge the gap between theory and practice through impactful research findings. To support the development of sustainable and inclusive business strategies and policies. We invite researchers, academics, and practitioners to contribute to this journal to advance knowledge and practices in the fields of supply chain and entrepreneurship.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 23 Documents
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Green Marketing and Brand Image as Determinants of Sustainable Consumer Purchase Decisions: Evidence from the Coffee Retail Industry Taj, Zarin; Chairina, Raden Roro Lia
Journal of Supply Chain and Entrepreneurship Vol. 2 No. 1 (2026): Journal of Supply Chain and Entrepreneurship
Publisher : CV. SPDFHarmony

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64268/josce.v2i1.112

Abstract

Background: Efficient raw material inventory management is a critical challenge for small-scale agroindustries, particularly those with limited managerial resources and fluctuating production demand. Many micro and small enterprises rely on traditional purchasing practices that often lead to overstocking, stockouts, and unnecessary holding costs. In agro-based processing industries such as milkfish floss production, ineffective inventory control can reduce operational efficiency and weaken business sustainability. The Economic Order Quantity (EOQ) model offers a systematic approach to determine optimal order quantities that minimize total inventory costs while ensuring the availability of production inputs. However, empirical applications of EOQ in small-scale agroindustry contexts remain limited. Aims: This study aims to analyze the efficiency of raw material inventory management and determine the optimal order quantity using the EOQ model in a small-scale milkfish floss agroindustry in Indonesia. Methods: This research employed a quantitative case study approach. Data were collected through direct observation, production records, and interviews with the enterprise owner. Inventory-related data, including annual demand, ordering cost, and holding cost, were analyzed using the EOQ model to determine optimal order quantity, ordering frequency, and total inventory cost. Result: The findings indicate that the existing inventory practice is less efficient compared with the EOQ-based calculation. By applying the EOQ model, the enterprise can determine a more optimal ordering quantity and reduce total inventory costs. The analysis also reveals improvements in ordering frequency and better control of raw material availability for production continuity. Conclusion: This study demonstrates that the application of the EOQ model can significantly improve raw material inventory efficiency in small-scale agroindustries. The results highlight that systematic inventory planning not only reduces operational costs but also enhances production stability and supply chain reliability. For micro and small enterprises in agro-processing sectors, adopting analytical inventory management tools such as EOQ can serve as a practical strategy to strengthen business competitiveness. Furthermore, the findings emphasize the importance of integrating basic operations management techniques into small-scale entrepreneurial practices to support sustainable agroindustrial development. Implementing structured inventory management frameworks can help small enterprises transition from intuitive decision-making toward data-driven operational strategies, ultimately contributing to improved efficiency, resilience, and long-term business sustainability.
Design and Implementation of Standard Operating Procedures to Improve Production Quality in Small-Scale Coffee Roasteries: Evidence from a Robusta Processing SME Puttileihalat, Anatasya Litisya; Cahyaningrum, Deltaningtyas Tri
Journal of Supply Chain and Entrepreneurship Vol. 2 No. 1 (2026): Journal of Supply Chain and Entrepreneurship
Publisher : CV. SPDFHarmony

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64268/josce.v2i1.113

Abstract

Background: Small-scale agroindustry enterprises often face operational inefficiencies due to the absence of standardized production procedures. In coffee processing SMEs, inconsistent work practices may lead to product defects, reduced productivity, and unstable product quality. Macro Coffee Roastery, a small-scale coffee processing enterprise in Jember, Indonesia, experienced similar issues, particularly in the production of robusta coffee, where the lack of formal Standard Operating Procedures (SOPs) contributed to quality inconsistencies and operational errors during production activities. Aims: This study aims to design and implement Standard Operating Procedures for the robusta coffee production process and to evaluate the effectiveness of the SOP implementation in improving production quality within a small-scale coffee roasting enterprise. Methods: The research employed a mixed-method approach combining qualitative and quantitative techniques. Data were collected through field observations, interviews with production workers, and documentation of product defect rates before and after SOP implementation. The production process analyzed includes raw material preparation, roasting, cooling (tempering), grinding, and packaging. Quantitative evaluation of the SOP implementation was conducted using the Chi-Square test to examine changes in defect levels. Result: The study produced a comprehensive SOP framework covering five key stages of the robusta coffee production process. Following the implementation of the SOP, the level of product defects decreased significantly, indicating improved consistency and operational control in the production system. Conclusion: The findings demonstrate that the introduction of structured Standard Operating Procedures can substantially enhance operational discipline, process consistency, and product quality in small-scale coffee agroindustries. SOP implementation provides clear work guidelines for employees, reduces procedural deviations, and supports more systematic production management. For small and medium enterprises in the agroindustry sector, the development of standardized production systems represents an effective managerial strategy to strengthen quality assurance and operational reliability. Furthermore, the adoption of SOP-based production management may contribute to improving competitiveness, ensuring product consistency, and supporting sustainable growth in emerging coffee processing enterprises
Linking Procurement Planning and Tendering to Service Delivery Performance: Evidence from Public Sector Supply Chain Systems Okebechi, Gbeyongu Victoria; Ahemen, Member; Tyokosu , Simon
Journal of Supply Chain and Entrepreneurship Vol. 2 No. 1 (2026): Journal of Supply Chain and Entrepreneurship
Publisher : CV. SPDFHarmony

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64268/josce.v2i1.115

Abstract

Background: Public sector procurement has evolved into a strategic component of supply chain management, yet many higher education institutions continue to face inefficiencies in translating procurement processes into effective service delivery. While prior studies emphasize transparency and compliance, limited empirical evidence explains how specific procurement mechanisms—particularly planning and tendering—shape service delivery performance within institutional supply chain systems. Aims: This study aims to examine the linkage between procurement planning and tendering practices and service delivery performance, positioning procurement as a critical driver of public sector supply chain effectiveness. Methods: A quantitative survey design was employed, drawing data from 95 procurement-related personnel in a public university setting. Data were collected using a structured questionnaire with validated reliability (Cronbach’s alpha = 0.86). Descriptive statistics (mean and standard deviation) were used to assess response patterns, whileSpearman rank-order correlation was applied to test the relationships between procurement planning, tendering, and service delivery performance. Result: The findings reveal that procurement planning demonstrates a statistically significant positive relationship with service delivery performance (ρ = 0.327, p < 0.05), indicating that structured planning enhances operational efficiency and alignment of resources. Similarly, tendering exhibits a stronger significant relationship (ρ = 0.482, p < 0.05), suggesting that transparent and competitive supplier selection processes play a pivotal role in improving service outcomes. The overall results highlight procurement as an embedded mechanism within public sector supply chains that directly influences performance. Conclusion: This study confirms that procurement planning and tendering are not merely administrative functions but constitute core operational mechanisms that shape service delivery performance within public sector supply chain systems. By reframing procurement through a supply chain perspective, the study contributes to bridging the gap between procedural compliance and performance-oriented outcomes. The findings underscore the importance of integrating structured planning, transparent tendering, and professional capacity development to enhance efficiency and accountability in public institutions. Furthermore, the study provides empirical support for positioning procurement as a strategic lever for value creation, offering practical insights for policymakers and institutional managers seeking to strengthen governance and service quality in resource-constrained environments

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