
Sustainability, the simultaneous management of economic, environmental and social dimensions in a supply chain is a challenging research area in supply chain management. Researchers have adopted different techniques to integrate the three components of sustainability. But the relationship between different sustainability initiatives and the performance outcomes are still to be analyzed systematically. In the present study, the review of various works published in sustainable supply chain management domain is carried out with a hybrid method of meta-analysis and content analysis. The research papers were selected based on different theories of sustainable development. The theories considered in the present study are the following; theory of population ecology, resource-based view theory, natural resource-based view theory, resource dependence theory, stakeholder theory, and transaction cost economics theory. The developments in the sustainable supply chain management area and the methodologies used for modelling and analysis are reviewed using this hybrid method by carefully analyzing the literature published during the period 2005-2017. This review will enable researchers in identifying the potential areas for research on sustainable supply chain management.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
