Evaluating Supply Network Efficiency by Using Social Networks Analysis (Case Study: Tractor Motor Manufacturing Company)

Subject Areas : Business Management

Morteza  Mahmodzadeh ¹ (Azad University, Islamic Azad University, Department of Management, Tabriz, Iran)
Amir  Laleh ² (Islamic Azad University, East Azarbaijan Research Center, Young and Elite Research Club, Tabriz, Iran)

Received: 2013-12-19 Accepted : 2014-06-19 Published : 2014-09-23

Keywords: Supply network, Network complexity, Supply risk, Social Networks Analysis, Structural rupture,

Abstract :

The Supply network Viewpoint obliges the companies to expand theScope and network of their business activities that need management. Thecomplexity of these activities has increased with the globalization of thenetworks and the geographical diversity of the participants and customers ,so their management has become more difficult . During the past yearsnumerous researches have acknowledged the inefficiency of the previousmethods in studying the complexity of supply chain as well as their inabilityin identifying the presence of suppliers on various layers of supply networkand have emphasized the necessity of using social networks analysis instudying the complexity of supply chain . The present article has surveyedthe supply network of Tractor Motor Manufacturing company by usingsocial networks analysis method and has come to the conclusion that thisnetwork contains several structural ruptures , that Motor Manufacturingcompany possesses a high level of bargaining against suppliers , and that thenetwork has a low innovative power.

References:

Bellamy M. A., Basole R. C. (2012), “Network Analysis of Supply Chain Systems: A Systematic Review and Future Research” Systems Engineering.

Borgatti S. P., Li X. U. N. (2009), on social network analysis in a supply chain context, The Journal of Supply Chain Management 45(2), 5-22.

Brookes N. J., Lewis P. A. (2006), “Globalizing the Supply Chain: A Case-Study in the Premium Aircraft Seating Business” Moving Up the Value Chain: 13th International Annual EurOMA Conference: University of Strathclyde, Glasgow, UK June 18-21, 2006.

Brookes, N. J., Morton, S. C., Grossman, S., Joesbury, P., & Varnes, D. (2007), Analyzing Social Capital to Improve Product Development Team Performance: Action-Research Investigations in the Aerospace Industry with TRW and GKN. Engineering Management, IEEE Transactions on, 54(4), 814-830.

Brookes N. J., Singh A. (2008), “Social Networks and Supply Chains” POMS 19th Annual Conference, Lajolla, California, USA.

Chopra S., Sodhi M. S. (2004), “Managing Risk to Avoid Supply Chain Breakdown” MIT Sloan Management Review, 46(1), 53-62.

Knoke D. Yang S. (2008), “Social Network Analysis”, 2nd ed. Sage Publications.

Lambert D. M., Cooper M. C. (2000), “Integrating Supply Chain and Network Analysis” Industrial Marketing Management, 29, pp. 65-83.

Muller R. A. E., Buetgett D., Seidel-lass L. (2007), “Supply Chain and Social Network Analysis”, 1st International European Forum on Innovation and System Dynamics in Food Networks, Innsbruck-Igls, Austria.

Scott J. (2000),Social Network Analysis, London:Sage Publication

Wasserman S., Faust K. (1996), Social Network Analysis. Cambridge, UK: Cambridge University Press.

Yu L., Suojapelto K., Hallikas J., Tang O. (2008), Chinese ICT industry from supply chain perspective--a case study of the major Chinese ICT players, International Journal of Production Economics 115(2), 374-387.

Zsidisin G. A. (2003), “A Grounded definition of Supply Risk” Journal of Purchasing and SupplyManagement, 9(5), 217-224.