This study diagnoses the systemic sustainability challenges in Iran's national automotive supply chain using Soft Systems Methodology to analyze the interrelated economic, environmental, social, technological, and managerial dimensions. The goal is to develop a conceptual model that reflects these complexities, validate it with real-world case data, and propose practical and desirable changes to improve sustainable supply chain management practices. The research addresses a critical gap in sustainability strategies for emerging markets with structurally constrained and politically sensitive industrial ecosystems. The study adopts an integrated approach combining systemic methodology and thematic analysis, utilizing semi-structured interviews with senior automotive industry experts and a targeted literature review. Rich pictures, conceptual modeling, and iterative validation ensured alignment between systemic challenges and practical realities, with data coded to identify barriers and enablers across the supply chain. Comparing conceptual and real-world models revealed key areas for intervention, including blockchain-enabled traceability, water recycling, supplier diversification, and digital integration to enhance sustainability. Findings highlight issues such as reliance on foreign suppliers, currency volatility, limited domestic manufacturing capacity, inefficient logistics, weak governance, and slow adoption of green technologies. Environmental concerns include water scarcity, inadequate vehicle scrappage systems, and high emissions from diesel transport. The study provides actionable recommendations for policymakers and industry managers, such as diversifying suppliers, implementing digital platforms, and introducing transparent governance. These measures can improve efficiency, reduce environmental impact, and increase resilience against political and economic disruptions. The research also offers future research needed to test the proposed interventions and explore policy frameworks for large-scale adoption.

This research aims to investigate the effect of supply chain management (SCM) on sustainability performance (SP), the effect of dynamic capabilities (DC) on sustainability performance and finally the effect of SCM on DC. The study uses a quantitative method with a questionnaire approach to investigate the relationship between endogenous and exogenous variables using the Likert scale. The respondents for this research were 680 logistics company owners in Indonesia determined using a simple random sampling method. The results show that SCM had a positive and significant relationship with SP. DC also had a positive and significant relationship with SP and recommends that company owners create policies to increase dynamic capabilities to improve company performance. Finally, DC in our survey had a positive and significant relationship to SP and strengthened the findings of previous findings. Moreover, SCM had a positive and significant relationship with DC, which recommends company owners make policies to improve SCM to increase DC. This research provides input to organizational owners to implement supply chain management, and dynamic capabilities to improve company performance and competitiveness.

This paper investigates the role of environmental management accounting on sustainable supply chain management and the link between sustainable supply chain management and efficiency including financial and environmental factors using questionnaire-based survey. The study designed and sent questionnaires to 600 construction material manufacturing enterprises in Vietnam and managed to collect 418 valid ones which was processed by SPSS 20.0 software. The results show that environmental management accounting had a significantly positive impact on sustainable supply chain management. Therefore, if enterprises adopt environmental management accounting, they will more likely implement sustainable supply chain management more efficiently. On the other hand, the findings point out that sustainable supply chain management positively affect to both financial and environmental efficiency. Finally, the study provides some sound suggestions to Vietnamese construction materials manufacturing industry.

In today’s business scenario, organizations are focusing on sustainable growth for performance measurement in supply chain. For this purpose, sustainable flexibility is an important issue to fulfill the environmental, economic and customer’s needs, which is helpful for sustainable growth for an industry. In this paper, different factors related to sustainable flexibility in supply chain management are identified through literature review and experts’ opinions in this domain. Further, an attempt has been made to develop the interactions among these factors using Total Interpretive Structural Modeling (T-ISM) technique. This paper also employs Cross Impact Matrix Multiplication Applied to Classifications (MICMAC) based analysis to create policy to implement for sustainable growth in industries. Findings of this research give valuable decision-making insight and implications about the relative importance and the interdependence of flexibility factors in sustainable supply chain management for academicians and practicing managers in sustainable growth of an industry.

The role of sustainability in supply chain is becoming critical due to increasing environment related problems and societal issues. Sustainable Supply Chain Management (SSCM) helps in reducing environmental degradation as well as social and economic implications. SSCM practices in Indian industries are in initial stage of implementation and industries find difficult to implement. Therefore, in present research, key enablers to initiate SSCM are recognized and analyzed. This research has recognized twelve enablers with the help of previous researches and expert survey. A Structural framework has been drawn with the use of Interpretive Structural Modeling (ISM) technique, to understand the relationship among the identified enablers and also to find the reliance of one on another. Further, MICMAC analysis has been employed for evaluating these identified enablers in accordance with Driving power and Dependence power. From ISM Methodology “Government policies and supportive systems” is found to be a key bottom enabler, which is important to implement the SSCM in Indian industries. For further future perspective, Decision Making Trial and Evaluation Laboratory (DEMATEL), can also be recommended for evaluation purpose. Present research may be helpful to find the importance of different enablers for successful implementation of SSCM in Indian industries.