Analysing the barriers to corporate social responsibility in supply chains: an interpretive structural modelling approach

2010 ◽  
Vol 13 (3) ◽  
pp. 179-195 ◽  
Author(s):  
Mohd. Nishat Faisal
2019 ◽  
Vol 16 (8) ◽  
pp. 1357-1376
Author(s):  
Adel Alferaih

Purpose The purpose of this paper is to identify and develop a hierarchy of corporate social responsibility (CSR) dimensions and their interrelationships using interpretive structural modelling (ISM) methodology. Design/methodology/approach This research used ISM for framework development. ISM is, however, a sound method for developing insight into the collective understanding of the relationships between dimensions of corporate social responsibility (CSR) identified from the literature review. The steps involved in the ISM technique are structural self-interaction matrix, reachability matrix, level partitions, developing the canonical matrix, classification of dimensions for CSR and formation of ISM. Findings The findings indicate that company size is the only key driver for the other dimensions of CSR and is hence placed at the very bottom of the ISM model. Above this, at Level II, the key dimensions are corporate governance, diversity and corporate profile. These act as mediating dimensions between company size and the topmost level (i.e. Level III), which comprises 15 dimensions including CSR. Research limitations/implications Some limitations of this research indicate the need for further research. First, the proposed ISM model has only been conceptualised and has not been empirically tested using primary data. Future research is needed to validate the model in whole or part, to understand the perceived CSR of a company. Second, the methodology was limited to the use of ISM to model the CSR dimensions; it was not extended to fuzzy MICMAC analysis or to interpretive ranking. Practical implications The proposed ISM-based model for the identification and ranking of CSR dimensions and their interrelationships offers decision makers and practitioners a more convincing representation of the problems affecting the exploration of CSR dimensions. The utility of the proposed ISM method lies in imposing order and direction on the complexity of relationships among these dimensions, which will help top management and decision makers to better use their available resources in optimising their CSR practices. The framework allows policymakers to effectively incorporate these dimensions into their practising of CSR. Originality/value This is the first research on CSR to conceptualise a framework of causal interactions among its key dimensions using ISM methodology.


2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Massimiliano Ferrara ◽  
Mehrnoosh Khademi ◽  
Mehdi Salimi ◽  
Somayeh Sharifi

In this paper, we establish a dynamic game to allocate CSR (Corporate Social Responsibility) to the members of a supply chain. We propose a model of a supply chain in a decentralized state which includes a supplier and a manufacturer. For analyzing supply chain performance in decentralized state and the relationships between the members of the supply chain, we formulate a model that crosses through multiperiods with the help of a dynamic discrete Stackelberg game which is made under two different information structures. We obtain an equilibrium point at which both the profits of members and the level of CSR taken up by supply chains are maximized.


2018 ◽  
Vol 10 (12) ◽  
pp. 4430 ◽  
Author(s):  
Tong Shu ◽  
Qian Liu ◽  
Shou Chen ◽  
Shouyang Wang ◽  
Kin Lai

Global warming has become a growing concern for countries around the world. Currently, the direct way to solve this issue is to curb carbon emissions. Governments and enterprises should assume the social responsibility to conserve the environment. Under the background of carbon emission constraint, this article investigates the optimal decisions of closed-loop supply chains in the context of social responsibility, explores the impacts of constraints of carbon emissions and corporate social responsibility on recycling and remanufacturing decisions, and introduces the model of maximizing social welfare for further comparison and analysis. The results show that the coefficient of remanufacturing and emission reduction and the coefficient of government reward and punishment are inversely proportional to recycling rates and the total carbon emissions. Governments should formulate rational carbon emission caps for enterprises with different coefficients of remanufacturing and emission reduction. Additionally, corporate social responsibility has a positive effect on recycling rates, and a rise in its strength can lead to a fall in carbon emissions per unit product. In terms of product recycling and profit sources, the model of maximizing social welfare is superior to that of maximizing the manufacturer’s total profits, which provides new managerial insights for decision-makers.


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