Journal of Supply Chain Management Systems

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A Framework for the Analysis of Sustainable Supply Chain Management: An Insight from Indian Rubber Industry


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1 College of Management and Economics Studies, University of Petroleum & Energy Studies, Uttarakhand, Dehradun, India
     

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Industrial operations could emit harmful pollutants and degrade natural environment, thereby posing a threat to human beings and wildlife (polar bears, panda, penguins, turtles, whales, walrus etc.). Globally manufacturers must ensure that the operations be done as safely and responsibly as possible keeping in line with the three dimensions of triple bottom line. We develop a framework which analyses the various complex relationships involved in a sustainable supply chain with the aid of interpretive structural modeling. The key factors influencing sustainable supply chain were identified based on a thorough literature review and in consultation with rubber industry experts. Further MICMAC analysis was applied to identify the autonomous, linkage, dependent and independent factors.

Keywords

Sustainable Supply Chain Management (SSCM), Indian Rubber Industry, Interpretative Structural Modeling, MICMAC.
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  • Attri,R., Dev,N., & Sharma,V. (2013). Interpretive Structural Modeling (ISM) approach: An overview. Research Journal of Management Sciences, 2(2), 3-8

  • Ageron, B., Gunasekaran, A., & Spalanzani, A. (2012). Sustainable supply chain management: An empirical study.International Journal of Production Economics, 140,168-182

  • Azevedo, S., Carvalhom, H., & Machado, C.V. (2011). The infl uence of green practices on supply chain performance: A case study approach. Transportation Research Part E, 47, 850-871

  • Bag,S. (2013). Designing the green supply chain strategies for Indian manufacturing fi rm. International Journal of Supply Chain Management Systems, 2(1),8-18.

  • Bag.S., & Anand, N. (2012).Green Procurement practices and its impact on organization performance: A conceptual framework of Indian manufacturing sector. UPES Management Review, 1(2), 3-11, ISSN No. 2250-0723

  • Brandenburg, M., Govindan, K., Sarkis, J., & Seuring, S. (2012). Quantitative models for sustainable supply chain management: Developments and directions. European Journal of Operational Research, 233,299-312

  • Barari. S, Agarwal, G., Zhang, W.J., Mahanty, B., & Tiwari, M.K. (2012).A decision framework for the analysis of green supply chain contracts: An evolutionary game approach. Experts systems with applications, 39, 2965-2976.

  • Bose. I., & Pal, R. (2012).Do green supply chain management initiatives impact stock prices of fi rms? Decision Support Systems, 52, 624-634

  • Carbon Trust, (2006). Carbon Footprint in the supply chain: The next step for business. Report No. CTC616, Carbon Trust London. Retrieved from https://www.car bontrust.com/media/84932/ctc616-carbon-footprintsin- the-supply-chain.pdf

  • Chaabane, A., Ramudhhin, A., & Paquet, M. (2012). Design of sustainable supply chains under the emission trading scheme.International Journal of Production Economics, 135, 37-49

  • Croom, S., Romano, P., & Ginnakis, M. (2000). Supply chain management: an analytic framework for critical literature review. European Journal of Purchasing and Supply Management, 6, 67-83

  • Dubey. R.,&Bag, S.(2013).Exploring the dimensions of sustainable practices: An empirical study on Indian manufacturing firms.International Journal of Operations and Quantitative Management, 19(2), 101-124

  • Dubey, R., Singh, T., Ali, SS., & Tiwari, S. (2013). Contextual relationships among antecedents of truck freight using ISM and its validating using MICMAC analysis. International Journal of Logistics and Systems Management (in press).

  • Dubey.R., Sonwaney V., Aital P., & Venkatesh V.,(2013), "Antecedents of innovation and contextual relationship", Int. J. Business Innovation and Research, (in press)

  • Cho, D. W., Lee, Y. H., Ahn, S. H., & Hwang, M. K. (2012).A framework for measuring the performance of service supply chain management. Computers and Industrial Engineering , 62,801-818

  • Dekker, R., Bloemhof, J., &Mallidis, I. (2012). Operations research for green logistics-An overview of aspects, issues, contributions and challenges. European Journal of Operational research, 219,671-679

  • Diabat, A., Govindan, K., & Panicker, V. (2012). Supply chain risk management and its mitigation in a food industry. International Journal of Production Research, 50(11), 3039-3050

  • Gunesekaran, A., & Spalanzani, A. (2012). Sustainability of manufacturing and services: Investigations for research and applications. International Journal of Production Economics, 140,35-47

  • Gimenez, C., Sierra, V., & Rodon, J. (2012). Sustainable Operations: Their impact on the triple bottom line. International Journal of Production Economics, 140,149-159

  • Gupta, S., & Desai P. O.D. (2011). Sustainable supply chain management: Review and research opportunities. IIMB Management Review, 23,234-245

  • Hassini, E., Surti, C., & Searcy, C. (2012). A literature review and a case study of sustainable supply chains with a focus on metrics. International Journal of Production Economics, 140, 69-82

  • Hojmose, S., Brammer, S., & Millington, A. (2012). Green supply chain management: The role of trust and top management in B2B and B2C markets. Industrial Marketing Management, 41,609-620

  • IPCC, (2007). Climate change 2007: The physical science basis. Retrieved from<http://www.ipcc.ch/pdf/assessment report/ar4/wg1/ar4-wg1-spm.pdf>

  • Khan, J., & Haleem, A. (2013). An integrated ISM and Fuzzy MICMAC approach for modeling of the enablers of Technology Management. Indian Journal of Applied Research, 3(7), 236-242

  • Liu, S., Kasturiratne, D., & Moizer, J. (2012). A hub and spoke model for multi dimensional integration of green marketing and sustainable supply chain management. Industrial Marketing Management, 41,581-588

  • Longo, F., & Mirabelli, G. (2008).An advance supply chain management tool based on modeling and simulation. Computers and Industrial Engineering, 54, 570-588

  • Linton, J., Klassen, R., & Jayaraman, V. (2007). Sustainable supply chains: An Introduction. Journal of Operations Management, 25,1075-1082

  • Mirhedayatian, S.M., Azadi, M., & Sean, R.F. (2014). A novel network data envelopment analysis model for evaluating green supply chain management. International Journal of Production Economics, 147, 544-554

  • M.K. Chen et al., (2012). Component selection system for green supply chain. Experts Systems with Applications, 39, 5687-5701

  • Caniels, M.C.J., Gehrsitz, M.H., & Semeijn, J. (2013). Participation of suppliers in greening supply chains: An empirical analysis of German automotive suppliers. Journal of Purchasing & Supply Management, 19, 134-143

  • Pereira, J.V. (2009). The new supply chain’s frontier: Information management. International Journal of Information Management, 29, 372-379

  • Profi le of the rubber and plastics industry, 2nd edition, US Environmental protection agency, EPA/310-R-05-003 Reefke, H., & Trochhi, M. (2013). Balanced scorecard for sustainable supply chains: design and development guidelines. International Journal of Productivity and Performance Management, 62(8), 805-826

  • Suering, S. (2013). A review of modeling approaches for sustainable supply chain management. Decision Support Systems, 54, 1513-1520

  • Sushil. (2012). Interpreting the interpretive structural model. Global Journal of Flexible Systems Management,13(2), 87-106

  • Kang, S-H., Kang, B., Shin, K., Kim, D., & Han, J. (2012). A theoretical framework for strategy development to introduce sustainable supply chain management. Procedia-Social and Behavioral Sciences, 40,631-635

  • Warfield, J.N. (1974). Structuring complex systems. Battele monograph. Columbus, O.H: Battele Memorial Ins. 4.

  • Warfield, J.N. (1994). A science of generic design: Managing complexity through systems design. Iowa: Iowa State University press.

  • Warfield, J.N. (1999). Twenty laws of complexity: Science applicability in organizations. Systems research and Behavioral Science, 16(1), 3-40

  • Whetten, D.A. (1989). What constitutes a theoretical contribution? Academy of Management Review, 14(4), 490-495

  • Wang, F., Lai, Xiofan., & Shi, N. (2011). A multi-objective optimization for green supply chain network design. Decision Support Systems, 51, 262-269

  • Wu, Z., & Pagell, M. (2011). Balancing priorities: Decision-making in sustainable supply chain management. Journal of Operations Management, 29,577-590

  • Zhu, Q., & Sarkis, J. (2004). Relationships between operational practices and performance among early adopters of green supply chain management practices in Chinese manufacturing enterprises. Journal of Operations Management, 22,265-289

  • Zhu, Q., Sarkis, J., & Lai, K. (2013). Institutional based antecedents and performance outcomes of internal and external of green supply chain management practices. Journal of Purchasing & Supply Management, 19,106-117


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  • A Framework for the Analysis of Sustainable Supply Chain Management: An Insight from Indian Rubber Industry

Abstract Views: 358  |  PDF Views: 2

Authors

Surajit Bag
College of Management and Economics Studies, University of Petroleum & Energy Studies, Uttarakhand, Dehradun, India
Neeraj Anand
College of Management and Economics Studies, University of Petroleum & Energy Studies, Uttarakhand, Dehradun, India
K. K. Pandey
College of Management and Economics Studies, University of Petroleum & Energy Studies, Uttarakhand, Dehradun, India

Abstract


Industrial operations could emit harmful pollutants and degrade natural environment, thereby posing a threat to human beings and wildlife (polar bears, panda, penguins, turtles, whales, walrus etc.). Globally manufacturers must ensure that the operations be done as safely and responsibly as possible keeping in line with the three dimensions of triple bottom line. We develop a framework which analyses the various complex relationships involved in a sustainable supply chain with the aid of interpretive structural modeling. The key factors influencing sustainable supply chain were identified based on a thorough literature review and in consultation with rubber industry experts. Further MICMAC analysis was applied to identify the autonomous, linkage, dependent and independent factors.

Keywords


Sustainable Supply Chain Management (SSCM), Indian Rubber Industry, Interpretative Structural Modeling, MICMAC.

References