Supply chain and total quality management framework design for business performance-case study evidence

Author:

Sharma Sanjay,Modgil Sachin

Abstract

Purpose – The purpose of this paper is to identify the importance of integration of supply chain management practices with total quality management (TQM) practices to augment business performance. The objective of paper is to focus on the two important dimensions, namely, supply chain and TQM of an organization with special reference to the concepts: exploration and exploitation. Design/methodology/approach – In total, 20 variables have been identified (independent variables) which impact business performance (dependent variable). Variables have been extracted into four categories with a combination of two orientations, i.e., exploitation and exploration, with respect to quality management and supply chain practices. Findings – Configurationally four different combinations concerning supply chain and TQM were identified in which an enterprise can operate. This is supported with the four different case studies. Practical implications – This study leads to some interesting practical implications for practicing managers as it offers a framework in which the supply chain and TQM practices can be implemented with respect to an organizational structure (mechanistic or organic structure), environmental conditions (uncertain environment and rapidly changing product life cycle) and identification of customer orientations (whether customer is price sensitive or customer makes buying decision on account of trust or relation to the product). Originality/value – The concept of supply chain exploitation and supply chain exploration with different orientations of quality management is not studied comprehensively before. This paper provides a background for establishing a framework of strategies for supply chain and quality practices, with respect to the exploitation and exploration scenario.

Publisher

Emerald

Subject

Information Systems,Management of Technology and Innovation,General Decision Sciences

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