Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/2418
Title: A study on customer’s e - shopping behavior and satisfaction: special reference to working women in Chennai
Authors: Tamilarasi, S.
Angayarkanni, R.
Keywords: e- shopping
Shopping behaviour
Working women
Customer satisfaction
Issue Date: 2016
Publisher: Faculty of Management and Commerce, South Eastern University of Sri Lanka
Citation: Journal of Marketing, 1(2); 10-17.
Abstract: The growth rate of India’s e-commerce industry is fascinating. It was reported as 88% in 2013 which is a clear contrast picture of the slower economic growth of India. The purpose of this study is to analyse factors affecting on e- shopping behaviour of working women in Chennai city that might be one of the most important issues of e-commerce and marketing field. However, there is very limited knowledge about online consumer behaviour for women because it is a complicated socio-technical phenomenon and involves too many factors. One of the objectives of this study is covering the shortcomings of previous studies that didn't examine main factors that influence on online shopping behaviour for working women. Purchasing items and products through the web is a very easy task to do. It is now playing a very important role in everybody’s life especially working women with a very busy life schedule. This goal has been followed by using a model examining the impact of perceived risks, infrastructural variables and return policy on attitude toward online shopping behaviour and subjective norms, perceived behavioural control, domain specific innovativeness and attitude on online shopping behaviour as the hypotheses of study. To investigate these hypotheses 90 questionnaires dispersed among online stores. Respondents to the questionnaire were women consumers of online stores in which randomly selected. The statistical tools used to analyze the data with reference to the selected objectives of the study is factor analysis. The proposed conceptual model was developed and tested through a factor analysis to reduce data dimensions.
URI: http://ir.lib.seu.ac.lk/handle/123456789/2418
ISSN: 2513-3071
Appears in Collections:Volume 1, No. 2

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