Asian Journal of Economics, Business and Accounting

Aims: This study addresses structural inconsistencies, application gaps, and verification issues in existing Sustainable Supply Chain Management (SSCM) frameworks by developing an enhanced model named the Integrated Sustainable Supply Chain Management Framework (ISSCMF).

Study Design: Meta-analytical and design-based research.

Place and Duration of Study: The study is based on a meta-analysis of 40 peer-reviewed SSCM articles published between 2012 and 2024.

Methodology: A systematic review was conducted to examine limitations in the adaptation, validation, and implementation of SSCM frameworks. The analysis identified a lack of technological integration (e.g., IoT, data analytics), minimal use of structured methodologies, and domain-generic designs as critical shortcomings. To address these, the proposed ISSCMF incorporates structured methodologies such as DMAIC and Interpretive Structural Modeling, along with lean management and sustainability strategies, to create a more adaptable and efficient framework.

Results: The findings indicate a significant lack of standardization and digital integration across existing frameworks. Most models performed inadequately in both manufacturing and service sectors due to their generic nature. ISSCMF responds to these issues by offering a technology-driven and structurally guided approach that enhances visibility, operational efficiency, and decision-making in supply chains.

Conclusion: ISSCMF presents a robust, flexible alternative to traditional SSCM models by aligning environmental and technological elements. While the framework addresses key gaps, further empirical validation through case studies and expert feedback is required to confirm its broad applicability and effectiveness across diverse industry settings.