Small and medium-sized enterprises (SMEs) are constantly under pressure to grow. This pressure forces everyone involved to think about how best to run their business. Although there is much research on SME growth, previous research is fragmented and only addresses internal or external enablers. This study aims to construct an interaction model for all enablers that promote sustainable SME growth. An interpretive structural modeling (ISM) analysis is conducted to formulate an interaction model of enablers for SME growth. The results show that both internal and external enablers are crucial for SME growth. This study shows that the following internal enablers that are interrelated and strongly influence SME growth are MS (managerial skills), EO (entrepreneurial orientation), and OwS (ownership structure). In addition, external enablers such as CIL (customer involvement and location) and GS (government support) also play an important role in improving the performance of other factors for SME growth. In addition, this study also provides a guide for formulating strategies for SME sustainability. Effective policy formulation must be based on a correct understanding of the interdependence between enablers as a unified model of interaction. The interaction between the enablers highlighted and the level of the model would be helpful to all shareholders in finding appropriate strategies for SME growth.

This study explores the challenges and solutions faced by manufacturing companies in one industry when integrating green suppliers into their supply chains. The FGD transcripts were analyzed using NVivo 12 Pro for coding and thematic analysis, which helped identify key challenges and solutions. The key challenges identified included higher procurement costs, limited availability of green materials, quality assurance issues, and difficulties in verifying green practices. Strategic solutions involve establishing partnership strategies, conducting supply chain audits, and developing clear evaluation criteria. The content analysis shows that higher procurement costs can be mitigated through strategic partnerships offering better terms and pricing stability. Diversifying the supplier base and investing in supplier development programs address the limited availability of green materials. Quality assurance is maintained through stringent controls and regular audits, while verification challenges are managed with third-party certifications and robust audits to prevent greenwashing. The SWOT analysis highlights strengths such as strategic partnerships and regular audits, opportunities like developing evaluation criteria and technological advancements, and acknowledges weaknesses and threats. This comprehensive analysis provides a nuanced understanding of the practical challenges and solutions in green supply chain management, offering a strategic framework for manufacturing companies to enhance sustainability and achieve competitive advantage.

Supplier selection is crucial in supply chain management, directly impacting operational efficiency and production continuity. This study compares two Multi-Criteria Decision Making (MCDM) techniques—Fuzzy VIekriterijumsko KOmpromisno Rangiranje (VIKOR) and Fuzzy Multi-Objective Optimization based on Ratio Analysis (MOORA)—to optimize supplier selection for a manufacturing company in Indonesia facing single supplier dependency. Fuzzy logic is employed to reduce subjectivity and ambiguity in the selection process. The Fuzzy MOORA method achieved a sensitivity score of 16.7% compared to 0.00% for Fuzzy VIKOR, indicating higher responsiveness to changes in criteria weights. Additionally, Fuzzy MOORA reduced the supplier selection process time by 28.5% compared to the current system, demonstrating its efficiency in practical applications. In general, the Fuzzy MOORA is superior in terms of the performance level with a rate of 3 out of 4 factors including the computational times, simplicity, and mathematical calculation. This study contributes to enhancing supplier selection methodologies by providing a comparative analysis of these techniques in a real-world context.

Big data analytics (BDA) have the potential to improve upon and change conventional supply chain management (SCM) techniques. Using BDA, organisations need to build the necessary skills to use big data effectively. Since BDA is relatively new and has few practical applications in SCM and logistics, a systematic review is needed to emphasise the most significant advancements in current research. The objectives are to evaluate and categorise the literature that addresses the big data potential in SCM and the current practises of big data in SCM. The Systematic Literature Review (SLR) was conducted to analyse several published papers between 2017 and 2022. It follows four steps: the literature collection, descriptive analysis, category selection, and material evaluation in a systematic review. The finding reveals that BDA has been applied in many supply chain functions. Furthermore, integrating BDA in SCM has several advantages, including improved data analytics capabilities, logistical operation efficiency, supply chain and logistics sustainability, and agility. Finally, the study emphasises the importance of using BDA to support the success of SCM in businesses.

Excessive waste is one of the problems in the food supply chain system. This study aims to identify supply chain players, map, and reduce waste that occurs in the Papaya California agribusiness supply chain process in Cikarang, Bekasi. Data collection was obtained from the results of field studies and interviews with parties involved in the supply chain such as farmers, distributors, retailers, and consumers. Increasing the effectiveness of Papaya's supply chain network is by improving the quality of packaging (modified atmosphere packaging (MAP), smart packaging, active packaging, and intelligent packag­ing), sharing data among chain players supply, implement refri­ge­ration and monitor transportation technology and promote the long term. Good coordination between parties involved in the Papaya supply chain has a significant role in creating an effective and effici­ent supply chain system.