Journal Press India®

Understanding Attitude and Predicting Behavior in Virtual Social Communities

Vol 1 , Issue 2 , July - December 2012 | Pages: 38-45 | Research Paper  

https://doi.org/10.51976/gla.prastuti.v1i2.121206


Author Details ( * ) denotes Corresponding author

1. * Rajan Yadav, Associate Professor, School of Management, Inderprastha Engineering College, Sahibabad, Uttar Pradesh, India (raj_yadav1974@yahoo.co.in)

The paper is aimed to explore the youngster’s attitude towards online social communities which is now emerging as an ideal platform for getting meaningful consumer insight worldwide. The survey was administered over 120 post-graduate students of Delhi University. Factor analysis and multiple regression analysis were used to test the stated hypothesis. Factor analysis explained 45 percent variance among the variables. The ß coefficients for Social trustworthiness (ß=.012) and Privacy concern (ß=.082) were statistically found significant in determining overall rating of virtual social communities. The overall internal consistency of the data was checked by applying Cronbach’s alpha which demonstrated the value (0.69) within the acceptable limit. For researchers and practitioner, the paper provides a conceptual and theoretical framework to understand the key factors in acceptance of virtual communities which is pivotal in making strategic decisions to improve e-commerce in India.

Keywords

Virtual Communities, Factor Analysis, Perceived Hedonic Benefits, Social Motivation

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