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Showing 10 results for Type of Study: Review
Sustainable Logistics and Supply Chain Resilience: A Critical Bibliometric Analysis
Shereen Abdelaziz, Munjiati Munawaroh,
Volume 0, Issue 0 (10-2025)
Abstract
This study conducts a comprehensive bibliometric analysis to examine the intersection of sustainable logistics and supply chain resilience, aiming to uncover emerging trends, influential factors, and critical gaps in the literature. Using the Scopus database, 480 publications published between 2009 and 2024 were systematically analyzed through VOSviewer and Biblioshiny. The findings highlight six dominant themes—decarbonization, reverse logistics, optimization models, circular economy practices, digital transformation, and risk mitigation—that collectively position sustainability as a driver of resilience. The analysis focuses on sustainable logistics practices, including green logistics, circular economy principles, and reverse logistics, alongside digital transformation technologies such as IoT, blockchain, and predictive analytics, to assess their integration into resilience strategies. The analysis reveals a fragmented approach to integrating sustainability and resilience, with practices often treated in isolation. Results indicate that sustainable logistics practices enhance resource efficiency and adaptability but are constrained by the lack of holistic frameworks that integrate diverse sustainability practices with resilience strategies. While environmental dimensions and digital technologies are recognized as critical enablers, social and governance dimensions remain underexplored. Adoption disparities further hinder progress, particularly among SMEs, resource-constrained sectors, and underrepresented regions like Africa and South Asia. The study highlights opportunities to advance foundational theories, including Circular Economy Theory, Dynamic Capabilities Theory, and the LARG model, for aligning sustainability and resilience objectives. The study highlights the importance of developing unified, data-driven frameworks that incorporate ESG principles, sector-specific applications, and inclusive approaches to address geographic and financial disparities. Practically, integrating digital technologies with sustainable logistics practices can strengthen transparency, efficiency, and agility. Meanwhile, policy interventions, targeted incentives, and multi-stakeholder collaboration are essential to overcome implementation barriers and achieve operational sustainability and resilience integration. 

Challenges and Drivers of the Internet of Things in the Supply Chain: A Systematic Review
Zahrasadat Hasheminasab, Esmaeil Mazroui Nasrabadi, Zahra Sadeqi-Arani,
Volume 35, Issue 3 (9-2024)
Abstract
In today’s world, supply chains must adopt new and intelligent technologies to achieve objectives such as enhancing productivity and performance, competitiveness, and overcoming challenges. The Internet of Things (IoT), as an emerging and transformative technology, is considered one of the most significant technology areas today and has garnered considerable attention across various industries. However, the implementation of IoT at the supply chain (SC) level faces numerous challenges and obstacles, and its acceptance at this level requires specific drivers. To date, no specific classification has been provided for drivers at the SC level, and existing classifications for challenges also need to be reviewed and updated. Given the importance of IoT in SC management, a systematic review at this level is necessary. This article provides a systematic literature review to identify and classify the challenges and drivers of IoT at the SC level. The study reviewed articles published from 2004 to 2023, ultimately identifying and categorizing 92 challenges into 16 categories: financial, standards and government regulations, privacy and security, energy consumption, health issues, hardware and software issues, culture in the SC, lack of knowledge and awareness, poor IT management, coordination in the SC, perception, the Challenge of uncertainty, lack of Plan and Strategy, incompatibility with existing technology, supply Problems, and user acceptance and trust in technology. Additionally, the study identified 4 antecedent drivers (pressures, understanding the benefits, government regulations, government incentives) and 10 consequent drivers (production benefits, improving competitive advantage, inventory management, cost management, improving transparency, efficiency of information flow, development of responsiveness and agility, sustainable development, facilitation of management, and development of cooperation and coordination). Finally, a model for implementing IoT technology in the SC is presented. This model synthesizes the findings from the literature review and offers a practical roadmap for organizations seeking to leverage IoT in their supply chains. By addressing the identified challenges and utilizing the drivers, organizations can effectively integrate IoT technology, thereby enhancing the efficiency, transparency, and overall performance of their SC operations. 

A Systematic Review of Planogram: Research Gaps and Opportunities
Rahma Fariza, Melinska Ayu Febrianti, Qurtubi Qurtubi, Hari Purnomo,
Volume 35, Issue 4 (12-2024)
Abstract
A business faces challenges in terms of product structuring, design, and space layout; it needs to adapt traditional design management models to scientific developments, like customer shopping behavior data. This article contains a systematic review of planograms and is essential because a similar complete literature review has yet to be found. Therefore, this research is necessary, especially for business actors such as retailers and suppliers. This research aims to analyze studies on shelf-space allocation and store layout and provide advice for future research. This study used the systematic review methodology to incorporate relevant literature, of which 50 articles were later obtained. The review protocol guides a comprehensive and systematic analysis of the articles. This study proposes potential avenues for future research to offer a thorough and precise examination of the impact of shelf-space allocation and store layout. The gaps in previous studies are opportunities to create more complex and comprehensive research results on similar topics. This article added scientific value by presenting an exhaustive literature review, and it can fill the theoretical gap by completing the previous literature review.

Adopting Global Circular Food Supply Chain Practices: Drivers, Barriers, and Strategies for Food Industry in Indonesia
Imam Djati Widodo, Qurtubi Qurtubi, Elisa Kusrini, Feris Firdaus, Roaida Yanti,
Volume 36, Issue 1 (3-2025)
Abstract
Food supply chain management has become a crucial issue due to increasing food waste caused by globalization and population growth, which not only harms the environment but also social and economic aspects. The circular model has proven to be a powerful solution to overcome this, but its implementation is quite challenging due to the involvement of many stakeholders along the supply chain. So, it is important to understand the driving factors of a circular economy in the food supply chain (FSC) which can stimulate the development of a circular food supply chain, the barrier factors that can cause the failure of circular practices in the FSC, as well as strategies to overcome and mitigate the barriers that arise. Therefore, this study conducted a systematic literature review by analyzing 43 articles to answer specific research questions related to drivers, barriers, and circular food supply chain (CFSC) strategies. The results present nine main drivers, main barriers, and strategies, of which there are 47 sub-drivers, 50 barriers, and 47 strategies. Out of all the strategies identified, 24 greatest strategies using Pareto and SWOT analysis can be adopted for CFSC practice in Indonesia. This research contributes to the existing literature with the strategies, along with the responsible FSC stakeholders.

Transforming Quality Management with Industry 4.0 Technologies: A Meta-Analytic Review of AI, Blockchain, IoT, and Big Data
Souad Lahmine, Fatima Bennouna,
Volume 36, Issue 2 (6-2025)
Abstract
Quality 4.0 is the fusion between the long-standing quality management tenets and Industry 4.0 technologies like AI, Blockchain, IoT, and Big Data. Although it can improve product quality, control operational efficiency, and supply chain transparency for organizations, adopting these technologies comes with high challenges. This study, therefore, carries out a meta-analytic review incorporating 80 peer-reviewed papers from between 2018 to 2024 to exposit the effectiveness, challenges, and prospects of Quality 4.0. Results show that machine learning-based predictive analytics significantly reduce defect rates and production costs, while Blockchain enhances visibility into the supply chain. On the other hand, organizational readiness and workforce training are major barriers. The paper can give much-needed input to practitioners through actionable recommendations and suggest avenues for further research that would advance Quality 4.0 adoption.

Identifying Leading Aquaculture Commodities in West Java’s Coastal Industry: A Multimethod Regional Analysis
Sri Kaidah, Tajuddin Bantacut, Muslich Muslich, Khaswar Syamsu,
Volume 36, Issue 3 (9-2025)
Abstract
The initial stage in agro-industrial development planning involves identifying high-potential raw materials. Assessing commodity competitiveness requires a comprehensive analytical approach to ensure that decisions are both accurate and sustainable. The development potential of aquaculture-based agro-industries can strengthen linkages between upstream and downstream sectors, particularly between fishery production and processing industries. However, in four coastal regencies of West Java Province, aquaculture-based agro-industries have not yet been developed, despite aquaculture recording the highest export value at the provincial level. At present, the region remains dominated by manufacturing industries. This study aims to identify priority aquaculture commodities for coastal agro-industrial development. Commodity competitiveness was assessed using five analytical methods: Location Quotient (LQ), Dynamic Location Quotient (DLQ), Sectoral Contribution Index (SCI), Growth Ratio Model (GRM), and Shift Share Analysis (SSA). A multi-method approach was employed to generate complementary results and enhance the validity of the superior commodity designation. The findings reveal that shrimp is categorized as a highly competitive commodity across all four regencies. These results serve as a strategic foundation for regional agro-industrial development policies and can be replicated in other coastal areas.

Strategic Digital Leadership in Construction: Overcoming Organizational Barriers to Sustainable Competitiveness
Hanan Nazzal,
Volume 36, Issue 3 (9-2025)
Abstract
Despite technological advancements (e.g., BIM, AI, IoT), the construction industry exhibits low digital maturity, hindered by persistent managerial challenges, including cultural resistance, rigid hierarchies, and institutional inertia. This study investigates Strategic Digital Leadership (CDiLe) as a catalyst for overcoming these barriers and enabling sustainable competitiveness. Employing a systematic review of 60 peer-reviewed articles (2015-2023) from Scopus, Web of Science, and ProQuest, thematic coding synthesized evidence across theoretical and regional contexts. Findings reveal that CDiLe characterized by participatory leadership, strategic visioning, digital literacy, and resource alignment, facilitates agile, data-driven, and sustainable decision-making. Organizations implementing CDiLe principles demonstrate significant gains, including project efficiency improvements (up to 30%) and reduced delays (by 25%). The study presents an empirically grounded framework for leadership-driven digital transformation, focusing on practical organizational change interventions, particularly in emerging markets. It advances scholarship by reframing digital transformation as fundamentally leadership-led, not merely technology-driven, and offers actionable pathways for firms and policymakers to embed digital strategy into construction management, guiding future empirical validation.
 
Integrated Multi-Criteria Decision Making Methods in Risk Management: A Systematic Literature Review and Framework Development
Muhammad Faisal Ibrahim, Imam Santoso, Siti Asmaul Mustaniroh, Retno Astuti,
Volume 37, Issue 1 (3-2026)
Abstract
This study systematically reviews the application of Multi-Criteria Decision-Making (MCDM) methods in risk management, aiming to map their use to the ISO 31000:2018 framework and consolidate fragmented literature into a structured synthesis. More than 3,000 studies were screened using a PRISMA-based methodology, and 104 were analyzed in depth to examine how MCDM methods support different stages of the risk management process. The findings reveal hybrid MCDM approaches significantly enhance decision-making effectiveness across multiple stages. The most frequently applied methods are the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), often combined for risk prioritization and mitigation strategy selection. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) also effectively analyzes interdependencies between risk factors and mitigation strategies. Nonetheless, challenges such as expert judgment subjectivity and the complexity of integrating multiple techniques remain critical issues. Building on these insights, the study proposes a six-stage conceptual framework that integrates MCDM techniques across risk identification, analysis, evaluation, and treatment. The key contribution lies in providing a unified, adaptive, and data-driven framework that enhances comparative understanding and strengthens structured risk management practices across industries.

A Systematic Literature Review of Supply Chain Performance Measurement System for Two Decades: Evolution and Research Opportunities
Vembri Noor Helia, Anna Maria Sri Asih, Nur Mayke Eka Normasari, Elisa Kusrini,
Volume 37, Issue 1 (3-2026)
Abstract
The development of literature reviews on Supply Chain Performance Measurement Systems (SCPMS) has been extensive. However, studies focusing on the roles of various actors within the supply chain, as well as research covering the period beyond 2020, remain limited. Therefore, we conducted a study to explore the evolution of SCPMS using the Scopus and Web of Science databases, covering the years 2004 to 2024. We began by identifying the limitations of previous literature reviews. Subsequently, we performed a systematic literature review of academic articles published in internationally accredited journals, primarily within the domains of supply chain management and performance measurement. The final sample consisted of 78 articles. The findings reveal publication trends over time and provide insights into the evolution and research opportunities of SCPMS. The evolution of SCPMS over the past two decades reflects a significant transformation driven by shifts in the global business environment, advancements in technology, and the growing emphasis on sustainability and resilience. The research opportunities are categorized into nine key areas. These include the comprehensive SCPMS framework, dynamic evaluation, generalization of SCPMS models, the integration of green, sustainability, and circular economy principles into SCPMS, the analytical methods, and the development of specialized metrics.

Navigating the Complexities of Sustainable Supply Chain Management: A Review of Closed-Loop Supply Chains and Sustainability
Maria Moghadam, Iraj Mahdavi, Ali Tajdin, Babak Shirazi,
Volume 37, Issue 1 (3-2026)
Abstract
Addressing the complex challenges of supply chain management requires integrating sustainable practices, advanced technologies, and innovative solutions. This review article explores the concept of sustainable closed-loop supply chains as a means to balance economic, social, and environmental goals. We examine the relationship between sustainable closed-loop supply chains and advanced technologies such as artificial intelligence, machine learning, game theory, and metaheuristic algorithms. Various aspects of supply chain models, sustainability, and the integration of innovative solutions are analyzed to identify key challenges and opportunities in the implementation of sustainable closed-loop supply chains. We highlight the potential benefits of adopting such practices, including cost savings, enhanced brand reputation, and increased customer loyalty. The article also discusses the importance of managing risks associated with cost, environment, social issues, and operations. Our review emphasizes the need for ongoing research and collaboration among stakeholders to address existing research gaps and foster a comprehensive understanding of sustainable closed-loop supply chains. This includes empirical studies on real-world implementation, advanced optimization techniques, sustainable business models, and policy frameworks. Ultimately, this article aims to contribute to the development of more resilient, efficient, and sustainable supply chains that benefit businesses and society alike.

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