Exploring The Influence of E-Commerce Multi-Modal Data on Online Shopping Based on Stepwise Regression Model
- DOI
- 10.2991/978-94-6463-040-4_200How to use a DOI?
- Keywords
- Online product review; multi-modal data; online purchase behaviour; stepwise regression
- Abstract
Online product reviews (OPR) is an important reference information for consumers for online shopping, and has become one of the most persuasive information influencing purchasing decisions of consumers. Researchers have used different methods to explore the impact of various aspects of OPR on consumer shopping behaviour. OPR contains multi-modal data, such as number, text and image, few studies investigated the impact of multi-modal OPR data on the consumers’ online shopping behaviour. This study aims to analyse the importance of different modal data of OPR to consumers’ purchasing decisions by using real product data sets collected from an E-commerce platform. The stepwise regression model is employed to quantitatively estimate the relationship between the variables of OPR and the product purchases. Through rigorous analysis, the results show that the number and sentiment of initial reviews, as well as the images in OPR have a significant impact on online shopping. The research results provide managerial implications for the e-sellers to make full use of the online product review.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yongjie Chu AU - Jingjing Cao PY - 2022 DA - 2022/12/27 TI - Exploring The Influence of E-Commerce Multi-Modal Data on Online Shopping Based on Stepwise Regression Model BT - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022) PB - Atlantis Press SP - 1345 EP - 1351 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-040-4_200 DO - 10.2991/978-94-6463-040-4_200 ID - Chu2022 ER -