International Journal of Mathematics Trends and Technology
Volume 55 | Number 4 | Year 2018 | Article Id. IJMTT-V55P538 | DOI : https://doi.org/10.14445/22315373/IJMTT-V55P538
In the era of the e-commerce transmission and its services provided to the customer over the Internet, the Internet is commonly used by both customers and business to buy and sell their goods and services across the world. This study focuses on the factors influencing customer decision and attitudes towards adopting online shopping in India. This study is mainly emphasizes on how demographic variable (age, income and occupation) & Psychological factors (Motivation, Perception, Learning, Belief and attitudes) affect customer buying behavior towards E-commerce. The research questionnaire and hypotheses were developed on review of the literature. Based on the research objectives, a structured questionnaire with 30variables, mainly with a 5-point Likert scale was used. The survey was carried out on selected 1500 customers using E-Commerce applications in India. For data collection, random sampling was adopted. Data mining Tools and Techniques i.e. WEKA, R programming, R Rattle and R Cmdr. have been used to analyze the data. Multinomial Logistics model is applied for predicting customer buying behaviours. Data mining techniques like Principle Component Analysis and factor analysis is applied for Data Dimension Reduction. Originally there were 30 factors influencing attributes/variables which were reduced to 7 after the PCA technique is applied. This research result represent that customer region is the variable that is highly influencing the customer buying behavior and the E- Commerce. The second reason is the customer income which is also influencing the customer buying behavior and E- Commerce next to the customer Region to some extent. The rest of the demographic variables are not showing significant influence.
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B.Naveena Devi, Dr.Y.Rama Devi, Dr.R.Rajeswara Rao, "Customer Attitude Towards E-Commerce using Naive Bayes Algorithm : Machine Learning Approach," International Journal of Mathematics Trends and Technology (IJMTT), vol. 55, no. 4, pp. 294-304, 2018. Crossref, https://doi.org/10.14445/22315373/IJMTT-V55P538
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