A.S. Suresh, S. Ramesh
firstname.lastname@example.org , email@example.com
A.S. Suresh1, Dr. S. Ramesh2
1Associate Professor, Institute of Management, Christ University and Scholar SCSVM University, Kanchipuram.
2Dean, Faculty of Commerce and Management-Pg, Mount Carmel College, Bangalore
Volume - 8,
Issue - 1,
Year - 2017
The main focus of this research paper is in the area of organized retail specifically in the convenience stores format in the city of Bangalore and is confined to Grocery, staples and fruits and vegetables business as food contributes to almost 63% in the organized retail business. The study was conducted during June 2014 and December 2015.
The research revealed that there are not many integrated supply chain models aligned to consumer preference, though there are models on different components of supply chain and retail. This study is intended to understand the drivers and factors influencing the back end operations in the area of supply chain efficiencies to create an integrated consumer aligned model frame work to drive optimizations at all levels. This can assist Indian companies in taking strategic decisions and competing in the emerging eco system of E-tailing on one hand and entry of multi nationals on the other.
Sample unit of this study was two major organized retail companies operating in the convenience stores format in Bangalore catering to about seventy outlets and having distribution centres and the same was derived using probabilistic multi stage sample design, from the overall population of urban retailers operating in the convenience stores format.
Primary data was collected through observation schedules for all the key parameters for both back end and front end consumer operations. Multiple Linear regression was used as inferential model, Linear programming for simulation and optimisation.
Cite this article:
A.S. Suresh, S. Ramesh. Factors affecting intra-relations of backend cost drivers in multi-brand retail domestic super market under convenience stores format: A customer aligned model of supply-chain optimisation framework. Asian J. Management; 2017; 8(1):78-86. doi: 10.5958/2321-5763.2017.00012.9