Performance Analysis of Online Shopping For Customer Satisfaction Using PLS-SEM

Advancement in technology from past few years provide a dyanmic platform to various customers and companies interact virtually. To ease the shopping, various sites are available to buy accessories online such as cloths, electronics, etc. Customer satisfaction is a challenge.So, to consider positive aspect to enhance the business based on companies point-of-view on the other hand ease of availability and satisfaction are main parameters according to users point-of-view. For this, a model is proposed with various hypothesis to find the level of consumer’s satisfaction. The major inputs are hedonic shopping value, website quality and utilitarian shopping value to the proposed model. The model is test with statistical tool such as PLS-SEM 3.3 version. PLS-SEM is efficiently work to solve complex problems. The simulation shows notable results.