Modeling Supply Chain Performance of Organized Garment Retailing

Purpose – The purpose of this paper is to produce the findings of a research project seeking to develop and validate a model for measuring supply chain performance of organized garment retailing in India. Design/methodology/approach – The paper draws its conclusions from an analysis of survey data from samples of Indian organized garment retailing practitioners and consultants. The pre-pilot and pilot survey has been done to improve the questionnaire. Later, large scale survey is used to classify key performance indicators and structural equation modeling has been used to develop and validate a model for measuring supply chain performance of organized garment retailing in India. Findings –The twenty key performance indicators have been arranged to measure the supply chain performance of organized garment retailing. The first most important group of key performance indicator is inventory metrics with seven indicators in this node. This nodal point needs to be supported by another supply chain node, i.e., flexibility metrics with three indicators. Also, keeping in view the customer requirements, customer metrics have developed another nodal point for assessing supply chain performance. This nodal point has the support of six performance indicators. The stakeholder metric presents the final nodal point for assessing supply chain performance. This nodal point uses four indicators and projects the monetary outcome of the business. Research limitations/implications – Larger-scale empirical studies are required from the top management for enhanced validity. In particular, the explicit comparison of the supply chain performance of major firms is recommended for future research. Also, there is a need to compare organized and unorganized garment retailing sector for gap analysis. Originality/value – This is the first study to systematically develop and validated a model for measuring supply chain performance of organized garment retailing in India. The analyses and discussions provide a basis for future research. In addition, the insights of this study shall help for the betterment of this sector.