Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/14084
Title: A study on Consumer Decision making towards organised and unorganised retailing in Mumbai City
Authors: Mehta, Indu
Keywords: Consumer Behaviour;Unorganised Retailing;Street Markets;Shopping Behaviour;Organised Retailing
Issue Date: 2015
Publisher: Indian Institute of Management, Ahmedabad
Citation: Mehta, I.. (2015). A study on Consumer Decision making towards organised and unorganised retailing in Mumbai City. 4th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. Indian Institute of Management, Ahmedabad
Series/Report no.: IC 15;155
Abstract: In urban areas a marketplace achieves differentiation from different market formats – unorganized shops (shopping malls) and street markets (Fashion Street) through the pursuit of singular orientations following the hedonic and utilitarian dimensions of shopping. This article discusses how consumer decision-making styles shift towards shopping at malls as well as street markets in Mumbai City. The study attempts to analyze the impact of the socio demographic locations of street markets on the convenience and costs borne by consumers. This study discusses the impact of growing congestion in urban marketplace due to overlapping of market territories of shopping malls and street markets in urban areas of Mumbai. This study also entails the important factors that can help symbiotic existence of both shopping malls and street markets in urban areas of Mumbai. The analysis has been carried out in reference to the shopping conveniences and shopping behavior. The results of the study evidence the complex consumer decision-making styles towards shopping malls and street markets based on competitive advantages. Street markets are largely preferred by the shoppers as they exhibit ethnic and cultural attributes while cross-cultural attributes of stores and shopping ambience is found to be one of the major determinants of shopping behavior.
URI: http://hdl.handle.net/11718/14084
Appears in Collections:4th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence

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