Analysing the Interactions Among the Barriers of Supply Chain Performance Measurement: An ISM with Fuzzy MICMAC Approach
Author
Abstract
Suggested Citation
DOI: 10.1177/0972150917713283
Download full text from publisher
References listed on IDEAS
- Ganga, Gilberto Miller Devós & Carpinetti, Luiz Cesar Ribeiro, 2011. "A fuzzy logic approach to supply chain performance management," International Journal of Production Economics, Elsevier, vol. 134(1), pages 177-187, November.
- Rajesh K. Singh & Suresh K. Garg & S.G. Deshmukh, 2007. "Strategy development for competitiveness: a study on Indian auto component sector," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 56(4), pages 285-304, May.
- Rameshwar Dubey & Tripti Singh & Omprakash K. Gupta, 2015. "Impact of Agility, Adaptability and Alignment on Humanitarian Logistics Performance: Mediating Effect of Leadership," Global Business Review, International Management Institute, vol. 16(5), pages 812-831, October.
- F. A. J. van den Bosch & C. B. M. van Riel, 1998. "Buffering and bridging as environmental strategies of firms," Business Strategy and the Environment, Wiley Blackwell, vol. 7(1), pages 24-31, February.
- Wang, GuoHong & Wang, YunXia & Zhao, Tao, 2008. "Analysis of interactions among the barriers to energy saving in China," Energy Policy, Elsevier, vol. 36(6), pages 1879-1889, June.
- Kamalini Ramdas & Robert E. Spekman, 2000. "Chain or Shackles: Understanding What Drives Supply-Chain Performance," Interfaces, INFORMS, vol. 30(4), pages 3-21, August.
- Ada Scupola, 2003. "The Adoption of Internet Commerce by SMEs in the South of Italy: An Environmental, Technological and Organizational Perspective," Journal of Global Information Technology Management, Taylor & Francis Journals, vol. 6(1), pages 52-71, January.
- Gunasekaran, A. & Patel, C. & McGaughey, Ronald E., 2004. "A framework for supply chain performance measurement," International Journal of Production Economics, Elsevier, vol. 87(3), pages 333-347, February.
- Joshi, Deepika & Nepal, Bimal & Rathore, Ajay Pal Singh & Sharma, Dipti, 2013. "On supply chain competitiveness of Indian automotive component manufacturing industry," International Journal of Production Economics, Elsevier, vol. 143(1), pages 151-161.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Katiyar, Rajesh & Meena, Purushottam L. & Barua, Mukesh Kumar & Tibrewala, Rajen & Kumar, Gopal, 2018. "Impact of sustainability and manufacturing practices on supply chain performance: Findings from an emerging economy," International Journal of Production Economics, Elsevier, vol. 197(C), pages 303-316.
- Ogulin, R. & Selen, W. & Ashayeri, J., 2010. "Determinants of Informal Coordination in Networked Supply Chains," Discussion Paper 2010-133, Tilburg University, Center for Economic Research.
- Jędrzej Charłampowicz, 2018. "Supply Chain Efficiency On The Maritime Container Shipping Markets – Selected Issues," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 18, pages 357-368.
- Mohamed Rafik Noor Mohamed Qureshi, 2022. "Evaluating and Prioritizing the Enablers of Supply Chain Performance Management System (SCPMS) for Sustainability," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
- Ogulin, R. & Selen, W. & Ashayeri, J., 2010. "Determinants of Informal Coordination in Networked Supply Chains," Other publications TiSEM 6bbf5984-752c-4760-b899-c, Tilburg University, School of Economics and Management.
- Joshi, Deepika & Nepal, Bimal & Rathore, Ajay Pal Singh & Sharma, Dipti, 2013. "On supply chain competitiveness of Indian automotive component manufacturing industry," International Journal of Production Economics, Elsevier, vol. 143(1), pages 151-161.
- Lima-Junior, Francisco Rodrigues & Carpinetti, Luiz Cesar Ribeiro, 2019. "Predicting supply chain performance based on SCOR® metrics and multilayer perceptron neural networks," International Journal of Production Economics, Elsevier, vol. 212(C), pages 19-38.
- Ivakina, A. & Zenkevich, N., 2018. "Working capital optimization under liquidity constraints in collaborative supply chains," Working Papers 15110, Graduate School of Management, St. Petersburg State University.
- Alireza Goli & Hatam Mohammadi, 2022. "Developing a sustainable operational management system using hybrid Shapley value and Multimoora method: case study petrochemical supply chain," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 10540-10569, September.
- Chen, Sihua & Du, Jiangze & He, Wei & Siponen, Mikko, 2022. "Supply chain finance platform evaluation based on acceptability analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
- Raut, Rakesh D. & Narkhede, Balkrishna & Gardas, Bhaskar B., 2017. "To identify the critical success factors of sustainable supply chain management practices in the context of oil and gas industries: ISM approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 33-47.
- Hald, Kim Sundtoft & Mouritsen, Jan, 2018. "The evolution of performance measurement systems in a supply chain: A longitudinal case study on the role of interorganisational factors," International Journal of Production Economics, Elsevier, vol. 205(C), pages 256-271.
- Weihua Zhang & Marc Reimann, 2014. "Towards a multi-objective performance assessment and optimization model of a two-echelon supply chain using SCOR metrics," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(4), pages 591-622, December.
- Ilkka Sillanpaa & Pekka Kess, 2011. "Supply Chain Performance Measurement Framework for Manufacturing Industries – A Theoretical Approach," MIC 2011: Managing Sustainability? Proceedings of the 12th International Conference, Portorož, 23–26 November 2011 [Selected Papers],, University of Primorska, Faculty of Management Koper.
- Maestrini, Vieri & Luzzini, Davide & Maccarrone, Paolo & Caniato, Federico, 2017. "Supply chain performance measurement systems: A systematic review and research agenda," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 299-315.
- Apriani Soepardi & Pratikto Pratikto & Purnomo Budi Santoso & Ishardita Pambudi Tama & Patrik Thollander, 2018. "Linking of Barriers to Energy Efficiency Improvement in Indonesia’s Steel Industry," Energies, MDPI, vol. 11(1), pages 1-22, January.
- Siti Aisyah Ya?kob & Mohd Uzairi Ahmad Hajazi & Nor Afiza Abu Bakar & Sharizal Hashim, 2019. "The Influence of Information Sharing Linkages on Business Performance: Evidence from Micro and Small Enterprises in Sarawak," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 18-26, January.
- Schneider, Christian O. & Bremen, Philipp & Schönsleben, Paul & Alard, Robert, 2013. "Transaction cost economics in global sourcing: Assessing regional differences and implications for performance," International Journal of Production Economics, Elsevier, vol. 141(1), pages 243-254.
- Wuttipan Kiatruangkrai & Ekachai Leelarasmee, 2016. "Barriers to Energy Saving for Public Middle Schools in Bangkok: From School Management Perspective," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 513-521.
- Sujan Piya & Ahm Shamsuzzoha & Mohammad Khadem & Nasr Al-Hinai, 2020. "Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain: Special Focus to Oil and Gas Industries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(3), pages 263-281, September.
More about this item
Keywords
Supply chain performance measurement; interpretive structural modeling; barriers; fuzzy MICMAC;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:globus:v:19:y:2018:i:1:p:48-68. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: http://www.imi.edu/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.