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Supply chain management: modelling the enablers using ISM and fuzzy MICMAC approach

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References

1994Vendor Selection Using Interpretive Structural Modelling (ISM)975 cited
2005Development and validation of a measurement instrument for studying supply chain management practices973 cited
2006Supply chain management: a structured literature review and implications for future research755 cited
2007Performance measurement of supply chain management: A balanced scorecard approach741 cited
2008Benefits, barriers, and bridges to effective supply chain management704 cited
2009The impact of “soft” and “hard” TQM elements on quality management results404 cited
2003Adopting new technologies for supply chain management359 cited
2006Quality management practices and their impact on performance336 cited
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2011The relationship between multidimensional organizational culture and performance271 cited
2010The examination on the drivers for green purchasing adoption among EMS 14001 certified companies in Malaysia214 cited
2004IT enablement of supply chains: modeling the enablers196 cited
2011A study of total quality management and supply chain management practices191 cited
2011Retail reverse logistics: a call and grounding framework for research174 cited

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2009Performance measurement in supply chain entities: balanced scorecard perspective162 cited

2009Supply chain information‐sharing: benchmarking a proven path150 cited

Cited by

2019Key challenges to digital financial services in emerging economies: the Indian context116 cited
2018A stakeholders’ perspective on barriers to adopt sustainable practices in MSME supply chain55 cited
2018Modeling and analysis of FMS performance variables by fuzzy TISM41 cited
2021Measuring agri-food supply chain performance: insights from the Peruvian kiwicha industry38 cited
2015Modelling hospital inventory management using interpretive structural modelling approach15 cited
2021Interdependence analysis of supplier relationship challenges in the South African automotive industry14 cited
2018A Study on the Interrelations of Decision-Making Factors of Information System (IS) Upgrades for Sustainable Business Using Interpretive Structural Modeling and MICMAC Analysis14 cited