1. Prasad and Chalapathi, (2015) analyzed the factors influencing the implementation of OHSAS 18001, by using ISM approach. Management commitment was found to have highest driving power, whereas, safety culture, sustainable construction, conducive working environment have been identified as the factors having highest dependent power.
2. Zhang et al. (2015) employed the interpretative structural modeling (ISM) approach to formulate the network reconfiguration problem in order to analyze the interrelationship among the factors having impacts on the same and the security and speediness of restoring generating units were considered with priority.
3. Luthra et al. (2015) modeled the critical success factors (CSFs) to implement GSCM towards sustainability …show more content…
Balasubramanian (2012) presented a hierarchical sustainability framework by using ISM technique for evaluating the 12 barriers to the adoption of GSCM in the United Arab Emirates (UAE) construction sector. Shortage of resources and lack of understanding among stakeholders were found to have the highest driving dependence power.
16. Diabat and Kannan (2011) developed a model of the drivers affecting the implementation of green supply chain management (GSCM) practices in organizations using an ISM methodology. Government regulation and legislation, reverse logistics and green design, and integrating quality had the highest driving and highest dependence power.
17. Luthra et al. (2011) identified 11 barriers in implementing GSCM practices in Indian automobile industries and contextual relationship among these barriers was established. A hierarchy structural model was prepared using the ISM technique, lack of government support policies, and market competition and uncertainty had the highest driving and dependence power.
18. Sharma et al. (2011) analyzed 12 barriers hindering the successful implementation of reverse logistics (RL). An ISM methodology was used to understand the mutual influences among the barriers. Lack of awareness and limited forecasting and planning had the highest driving and dependence …show more content…
Faisal (2010) presented an approach to effectively adapt sustainable practices in a supply chain by analyzing the dynamics between various enablers that help transform a supply chain into a truly sustainable entity. ISM approach was used to present a hierarchy-based model. Consumer concern towards sustainable practices, regulatory framework, awareness about sustainable practices in a supply chain and metrics to quantify sustainability benefits in a supply chain were found to have the highest driving and dependence power.
20. Kannan et al. (2009) developed a multi-criteria group decision making (MCGDM) model in fuzzy environment to guide the selection process of best third party reverse logistics provider (3PRLP). The analysis was done through the ISM methodology and fuzzy technique for order preference by similarity to ideal solution (TOPSIS). Technical/engineering capability criteria had the highest driving power while reverse logistics cost had the highest dependence power.
21. Muduli and Barve (2012) identified potential barriers that hinder greening effort in the Indian mining industry by using an ISM approach. Lack of top management commitment, and waste management operational strategy had the highest driving and dependence
2. Zhang et al. (2015) employed the interpretative structural modeling (ISM) approach to formulate the network reconfiguration problem in order to analyze the interrelationship among the factors having impacts on the same and the security and speediness of restoring generating units were considered with priority.
3. Luthra et al. (2015) modeled the critical success factors (CSFs) to implement GSCM towards sustainability …show more content…
Balasubramanian (2012) presented a hierarchical sustainability framework by using ISM technique for evaluating the 12 barriers to the adoption of GSCM in the United Arab Emirates (UAE) construction sector. Shortage of resources and lack of understanding among stakeholders were found to have the highest driving dependence power.
16. Diabat and Kannan (2011) developed a model of the drivers affecting the implementation of green supply chain management (GSCM) practices in organizations using an ISM methodology. Government regulation and legislation, reverse logistics and green design, and integrating quality had the highest driving and highest dependence power.
17. Luthra et al. (2011) identified 11 barriers in implementing GSCM practices in Indian automobile industries and contextual relationship among these barriers was established. A hierarchy structural model was prepared using the ISM technique, lack of government support policies, and market competition and uncertainty had the highest driving and dependence power.
18. Sharma et al. (2011) analyzed 12 barriers hindering the successful implementation of reverse logistics (RL). An ISM methodology was used to understand the mutual influences among the barriers. Lack of awareness and limited forecasting and planning had the highest driving and dependence …show more content…
Faisal (2010) presented an approach to effectively adapt sustainable practices in a supply chain by analyzing the dynamics between various enablers that help transform a supply chain into a truly sustainable entity. ISM approach was used to present a hierarchy-based model. Consumer concern towards sustainable practices, regulatory framework, awareness about sustainable practices in a supply chain and metrics to quantify sustainability benefits in a supply chain were found to have the highest driving and dependence power.
20. Kannan et al. (2009) developed a multi-criteria group decision making (MCGDM) model in fuzzy environment to guide the selection process of best third party reverse logistics provider (3PRLP). The analysis was done through the ISM methodology and fuzzy technique for order preference by similarity to ideal solution (TOPSIS). Technical/engineering capability criteria had the highest driving power while reverse logistics cost had the highest dependence power.
21. Muduli and Barve (2012) identified potential barriers that hinder greening effort in the Indian mining industry by using an ISM approach. Lack of top management commitment, and waste management operational strategy had the highest driving and dependence