A Statistical-Based Framework for Predicting Supplier’s Behavior to Quality Requirement Changes in Supply Chain

DOI: 10.4236/ib.2015.74016   PDF   HTML   XML   4,520 Downloads   5,245 Views  


Companies-manufacturers have to deal with demand and supply uncertainties. They need to adjust to changing customer needs and to be able to pass new quality requirements through the supply chain. Even if suppliers’ performance is satisfactory in stable environment, they can behave differently in dynamic situation. Some suppliers can fail to meet new quality requirements or even quit the supply chain. Underestimation of suppliers’ motivation can lead to loss of sales, customers, and can face the situation of need of new supplier search. The goal of this paper is to highlight an importance of consideration of informal factors in relationships with supply chain and to discuss a methodology of approach to predict high risk suppliers for changing quality requirements.

Share and Cite:

Koromyslova, E. and Visser, J. (2015) A Statistical-Based Framework for Predicting Supplier’s Behavior to Quality Requirement Changes in Supply Chain. iBusiness, 7, 137-142. doi: 10.4236/ib.2015.74016.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Ho, W., Xu, X. and Dey, P.K. (2010) Multi-Criteria Decision Making Approaches for Supplier Evaluation and Selection: A Literature Review. European Journal of Operational Research, 202, 16-24. http://dx.doi.org/10.1016/j.ejor.2009.05.009
[2] Forker, L. (1997) Factors Affecting Supplier Quality Performance. Journal of Operations Management, 15, 243-269. http://dx.doi.org/10.1016/S0272-6963(97)00001-6
[3] Ryu, S., Park, J.E. and Min, S. (2007) Factors of Determining Long-Term Orientation in Interfirm Relationships. Journal of Business Research, 60, 1225-1233.
[4] Cannon, J.P., Doney, P.M., Mullen, M.R. and Petersen, K.J. (2010) Building Long-Term Orientation in Buyer-Supplier Relationships: The Moderating Role of Culture. Journal of Operations Management, 28, 506-521. http://dx.doi.org/10.1016/j.jom.2010.02.002
[5] Gligor, D.M. and Autry, C.W. (2012) The Role of Personal Relationships in Facilitating Supply Chain Communications: A Qualitative Study. Journal of Supply Chain Management, 48, 24-43. http://dx.doi.org/10.1111/j.1745-493X.2011.03240.x
[6] Hartmann, J. and Moeller, S. (2014) Chain Liability in Multitier Supply Chains? Responsibility Attributions for Unsustainable Supplier Behavior. Journal of Operations Management, 32, 281-294. http://dx.doi.org/10.1016/j.jom.2014.01.005
[7] Barnes, B.R., Leonidou, L.C., Siu, N.M. and Leonidou, C.N. (2015) Interpersonal Factors as Drivers of Quality and Performance in Western-Hong Kong Interorganizational Business Relationships. Journal of International Marketing, 23, 23-49. http://dx.doi.org/10.1509/jim.14.0008
[8] Wuyts, S. (2007) Extra-Role Behavior in Buyer-Supplier Relationships. International Journal of Research in Marketing, 24, 301-311. http://dx.doi.org/10.1016/j.ijresmar.2007.05.002
[9] Riedel, R., Neumann, N., Franke, M. and Muller, E. (2010) The Behavior of Suppliers in Supplier-Customer Relationships. In: Vallespir, B. and Alix, T., Eds., Advances in Production Management Systems. New Challenges, New Approaches, Springer, 338 pages. http://dx.doi.org/10.1007/978-3-642-16358-6_33
[10] Romano, P. and Formentini, M. (2012) Designing and Implementing Open Book Accounting in Buyer-Supplier Dyads: A Framework for Supplier Selection and Motivation. International Journal of Production Economics, 137, 68-83. http://dx.doi.org/10.1016/j.ijpe.2012.01.013
[11] Bertrand, O., Lumineau, F. and Fedorova, E. (2014) The Supportive Factors of Firms’ Collusive Behavior: Empirical Evidence from Cartels in the European Union. Organization Studies, 35, 881-908. http://dx.doi.org/10.1177/0170840613515471
[12] Chen, I.J. and Paulraj, A. (2004) Towards a Theory of Supply Chain Management: The Constructs and Measurements. Journal of Operations Management, 22, 119.
[13] Hsiao, Y.-D., Yang, C.-C., Lin, W.-T. and Lee, W.-C. (2007) A Study on Key Failure Factors for Introducing Enterprise Resource Planning. Human Systems Management, 26, 139-152.
[14] Jayaram, J., Xu, K. and Nicolae, M. (2011) The Direct and Contingency Effects of Supplier Coordination and Customer Coordination on Quality and Flexibility Performance. International Journal of Production Research, 49, 59-85. http://dx.doi.org/10.1080/00207543.2010.508935
[15] Karim, M., Smith, A., Halgamuge, S. and Islam, M. (2008) A Comparative Study of Manufacturing Practices and Performance Variables. International Journal of Production Economics, 112, 841-859.
[16] Grady, C.A., He, X. and Peeta, S. (2015) Integrating Social Network Analysis with Analytic Network Process for International Development Project Selection. Expert Systems with Applications, 42, 5128-5138. http://dx.doi.org/10.1016/j.eswa.2015.02.039
[17] Crespo, P.T. and Antunes, C. (2015) Predicting Teamwork Results from Social Network Analysis. Expert Systems, 32, 312-325. http://dx.doi.org/10.1111/exsy.12038

comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.