Impediments to Social Sustainability Adoption in the Supply Chain: An ISM and MICMAC Analysis in Indian Manufacturing Industries

2015 ◽  
Vol 17 (2) ◽  
pp. 135-156 ◽  
Author(s):  
V. Mani ◽  
Rajat Agrawal ◽  
Vinay Sharma
2020 ◽  
Vol 15 (2) ◽  
pp. 185-194
Author(s):  
Maryam Khokhar ◽  
◽  
Yumei Hou ◽  
Muhammad Asim Rafique ◽  
Wasim Iqbal

Supply chain management firms are gradually pressurized to incorporate social sustainability practices to address social issues. Though, the researchers emphasized on different dimensions of sustainable supply chain management (SSCM), i.e., social, environmental and economic but fewer considered the social aspect of sustainability. The purpose of this research is to take into account the social dimension of sustainability into manufacturing industries. The social dimension of sustainability as compared to other sustainable, has severe adverse impact across supply chains. In order to demonstrate the applicability and efficiency of social sustainability in supply chain management, a sample of 53 practitioners of Pakistani manufacturing companies has been selected to prioritize and evaluate the SCSS criteria by applying a decision-making multi-criteria method called the best worst method (BWM). The criteria of the study are ranked according to their average weight achieved through BWM. The criterion employment practices has been chosen as the most significant criterion while cultural values criterion is considered as least important. The results of this study are helpful for industry managers, practitioners and decision-makers to take the decisions for the implementation of social criteria to enhance the social sustainability that lead to sustainable development.


2018 ◽  
Vol 25 (8) ◽  
pp. 3045-3061 ◽  
Author(s):  
V. Viswanath Shenoi ◽  
T.N. Srikantha Dath ◽  
C. Rajendran ◽  
P. Shahabudeen

Purpose The purpose of this paper is to provide strategic recommendations to supply chain managers of Indian manufacturing industries for a robust supply chain related to risk management by original equipment manufacturers (OEMs) and suppliers in manufacturing industries to ensure a robust supply chain risk management (SCRM). Design/methodology/approach Importance-performance analysis (IPA) is utilized to identify and provide strategic recommendations to manufacturing industries for improving their supply chain performance by attaching due importance to risk constructs and appropriately choosing mitigation strategies. Findings The investigation using the strategic action grids reveals that most of the means of risks are near the point of intersection of the grand means of the risk constructs and their impact on the supply chain, indicating that all the risks have the equal likelihood of occurrence. The mean importance of risk monitoring, risk avoidance (RA) and risk sharing surpass the mean performance for both OEMs and suppliers. Research limitations/implications The study is executed with following limitations: the study assumes that the manufacturing industries across different sectors perceive similar risk. The sectors considered are automotive, heavy engineering, general engineering and home appliances. The Southern States of India are considered because of the dominant presence of many industries, especially automotive industries. However, it should be noted that these States form the manufacturing hubs where the lead organizations are functioning along with their major suppliers. Practical implications By understanding the importance of SCRM dimensions and utilization of these dimensions, firms can mitigate the impact of risk on the supply chain. The detailed study of SCRM strategies highlights the importance attached to risk factors, mitigation strategies, and top management commitment. By the implementation of SCRM strategies, supply chain managers can improve the firm’s performance. Originality/value The study involves empirically validated data on SCRM dimensions. The IPA is performed on the SCRM dimensions to investigate the importance attached to the factors of the dimensions and their performance.


2019 ◽  
Vol 17 ◽  
pp. 161-175 ◽  
Author(s):  
Mohan Munasinghe ◽  
Priyangi Jayasinghe ◽  
Yvani Deraniyagala ◽  
Valente José Matlaba ◽  
Jorge Filipe dos Santos ◽  
...  

2020 ◽  
Vol 63 ◽  
pp. 101896 ◽  
Author(s):  
V.G. Venkatesh ◽  
Kai Kang ◽  
Bill Wang ◽  
Ray Y Zhong ◽  
Abraham Zhang

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