International Journal of Scientific and Research Publications, Volume 3, Issue 3, March 2013 1 ISSN 2250-3153 www.ijsrp.org Modeling Supply Chain Performance of Organized Garment Retailing Dr. Rajwinder Singh * , Dr. H.S. Sandhu ** , Dr. B.A. Metri *** , Mr. Papampreet Singh **** * Assistant Professor, School of Management Studies, Punjabi University, Patiala (Pb), India ** Director, CKD Institute of Management, Amritsar (Pb), India *** Professor and Dean, IMI, New Delhi **** JRF, Shri Jagdish Prasad Jhabarmal Tibrewala University, Rajasthan Abstract- 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. Index Terms- Key performance indicators, Organizational performance, Organized garment retailing, Supply chain management, Supply chain performance metrics I. INTRODUCTION rganized Garment Retailing (OGR) is a sunrise industry with maximum growth rate and maximum contribution to GDP in India. It has attracted many national and international players. Nowadays the intense market competition has shifted to the supply chain (SC) domain. Hence, the need for developing a SC performance of OGR is now a major concern for all the organizations. It shall be counted by using selective sets of key performance indicators (KPI) for measuring SC performance. Also, measuring supply chain performance (SCP) is one of the key managerial tasks associated with a wide range of activities of planning, organizing, motivating the workforce and controlling events. Providing a long list of KPI shall overload the managers leading to inefficiency. A performance measurement system helps to address the issues of finance, customer, internal processes, and innovation and improvements. Hence, “No measures, No improvement” (Kaplan and Norton, 1996). In the early stage of high technology organizations, managers focus on efficiency, reliability, and speed. However, in the different stages of organizational growth KPI are also different (Bhasin, 2008). Here, it is pertinent to mention that OGR in India is in the growth stage. Hence, developing a SCP measurement model shall be applicable to this industry as a whole. However, many organized retail outlets failed despite best growth for the industry. The OGR professionals revealed it an SCP failure. The reason for the failure was unavailability of an effective SCP measurement model for OGR. So, we identified the need to develop a SCP measurement model by selecting limited sets of KPI and arranging them in the form of a model. Here, we have used structural equation modeling (SEM). It is pertinent to mention that factor analysis, correlation, regression etc. shall test, single relationship at a time. However, SEM shall test multiple relationships at a time. Hence, we used this technique to develop and validate a model for measuring SCP of OGR. The remainder of this paper is organized as follows. The second section presents KPI used in this sector based on strong literature support in consultation of practitioners and consultants in the field of OGR. The third section focuses on database and methodology. The fourth section focuses on the discussion. In the last section we concluded the results and future research space has been discussed with the reference studies. II. KEY PERFORMANCE INDICATORS Measuring SCP leads to informed decision making to track the efficiency failure. The aim of implementing a performance O