Open AccessInvestigating impact of Influential Factors of Online Advertisement on Youth’s Online Buying Behavior: A Predictive Model
Author(s) -
C. Anirvinna,
Ashish Kumar,
Monika Saini,
Mohit Meena
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1714/1/012005
Subject(s) - value (mathematics) , advertising , wonder , regression analysis , psychology , the internet , marketing , business , social psychology , computer science , statistics , mathematics , world wide web
The impact of online advertisement on consumers which motivates them to do online shopping encouraged the researchers, managers, and policymakers to analyse this impact. In any case, because of its perplexing nature, this wonder is still in its early stages in many nations and should be given more consideration. Using advanced statistical tools (AST), the main aim of the present study is to identify the factors that influence the youth to indulge in online shopping in Jaipur, India. Information were gathered from 434 respondents through a survey utilizing the stratified sampling technique. After recognizable proof of elements, a regression model is created. The results of this study demonstrate that, all the factors have very low correlation. The R-square value of the model is 17.7%. It shows that factors that determine the impact do not contribute significantly. The p-value of the regression model shows that at least one factor contributes significantly. The findings of this examination have different handy and administrative ramifications for electronic organizations in nations. The findings of this examination have different functional and administrative ramifications for electronic organization. This paper adds to current writing on the effect of internet shopping behaviour of youth by distinguishing and experimentally approving persuasive factors and factors of concern utilizing the EFA and Regression investigation model. A regression model, which incorporates different components can be used as a strong hypothetical establishment for predicting youth’s behaviour during online shopping in developing countries like India.