Prediction of Buying Intention for Online Shopping:
An Empirical Study
-- Bharti Motwani
Online shopping is a recent phenomenon in the field of e-business and is definitely going to be the future of shopping in the world. Most of the companies are running their online portals to sell their products/services online. The present study attempts to analyze the factors and hypothesized relationships relating to online shopping and develop a conceptual framework to represent the online shopping mechanism. A self-structured questionnaire was used to collect the relevant data from different individuals. The questionnaire included 26 questions for collecting the information describing the different characteristics of the online shopping. On the basis of data collected from 248 respondents, seven factors emerged contributing to online shopping. Discriminant analysis then was applied taking these seven factors as dependent variables, and independent variable was buying intention related to online shopping. The study showed that all the seven factors were good predictors of buying intention related to online shopping.
© 2016 IUP. All Rights Reserved.
Predicting the Consumers’ Brand Switching Behavior for Cellphones: Application of Markov Chain Models
-- Vinod Sharma, Manohar Kapse and Jayant Sonwalkar
The purpose of this paper is to predict the switching behavior of the students with respect to mobile brands. This paper uses first-order Markov Chain model for predicting the switching behavior and also analyzes the future market scenario of the mobile brands. Data collected from 320 college-going students show very high probability of brand switching behavior among the students and they intend to switch their mobile brands. The findings reveal that in the long run, it is the technology that will lead than any single brand. It has been observed that there will be high retention in the brand Apple.
© 2016 IUP. All Rights Reserved.
Influence of Attitude Towards Advertisement on Purchase Intention: Exploring the Mediating Role of Attitude Towards Brand Using SEM Approach
-- S K Kaushal and Rakesh Kumar
Advertising, in the present era, has become important for the marketers to reach consumers and to persuade them to buy their products. The present study tries to investigate the relationship between consumer’s attitude towards advertisement and purchase intention which is mediated by consumer’s attitude towards brand. Consumers were exposed to real print advertisement of a well-known brand of smartphone which is endorsed by a famous Bollywood actress and they were asked to respond on a 7-point Likert scale. A sample of total 93 respondents was selected from the city of Lucknow using convenience sampling. Structural Equation Modeling (SEM) was used to analyze the data. The results of the study show that the relationship between attitude towards advertisement and purchase intention is fully mediated by attitude towards brand.
© 2016 IUP. All Rights Reserved.
The Relationship Between Service Quality and Customer Satisfaction and Retention in Ghana’s
Luxury Hotels
-- Michael Mba Allan
This study investigates the effect of service quality on customer satisfaction and retention among selected luxury hotels in Ghana. The population involved customers of four selected luxury hotels in Accra. A structured questionnaire was used to collect data from 486 participants. Pearson’s correlation test and linear regression analysis were used to test the hypotheses. Service quality made a significantly high positive effect on customer satisfaction and customer retention. Customer satisfaction also made a significantly high positive effect on customer retention. Service quality and customer satisfaction significantly predict customer retention at 5% significance level. In this respect, service quality accounts for a variation of 65.1%, while customer satisfaction accounts for a total variation of 92.1%. Yet, customer satisfaction is driven by service quality with a variation of 66.1% of the total variation. Therefore, for luxury hotels to enhance their customer satisfaction and retention, they need to enhance and maximize service quality, especially in terms of the responsiveness dimension of service quality.
© 2016 IUP. All Rights Reserved.
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