Sachin Kumar Mangla

TL;DR: This study analyses various AFSC risks using a multi-method approach, including thematic analysis, total interpretive structural modelling (TISM) and fuzzy cross-impact matrix multiplication applied to classification (MICMAC) analysis, and indicates that the weather-related and political risks have the highest driving power.

TL;DR: The results of the study indicated that supply- related risks such as fluctuation in imports arrival, lack of information sharing, key supplier failure and non-availability of materials should be prioritized over operational, financial and demand-related risks.

TL;DR: The proposed flexible SAP–LAP and IRP based model would help organizations to address risk mitigation strategies for green supply chain with concerns over situation, actor, process, learning, action and performance aspects, together to interpret the of role and influence of actor and action in accordance with process and performance that will increase the GSC robustness and hence enhancement in the ecological–economic gains.

TL;DR: The research findings illustrates that the product recovery risks and process risks criteria possess highest priority and need considerable managerial responsiveness for reducing the green supply chain susceptibility and hence performance improvement.

TL;DR: In this paper, an attempt is made to analyze ranking of critical factors related to technology transfer (TT) process, including regulatory concerns, international bodies, government authorities, and environmental concerns.