• Journal of Intelligence and Information Systems
• /
• v.29 no.4
• /
• pp.325-345
• /
• 2023

In the rapidly evolving domain of e-commerce, our study presents a cohesive approach to enhance customer satisfaction prediction from online reviews, aligning methodological innovation with practical insights. We integrate the RFE-SHAP feature selection with LDA topic modeling to streamline predictive analytics in e-commerce. This integration facilitates the identification of key features-specifically, narrowing down from an initial set of 28 to an optimal subset of 14 features for the Random Forest algorithm. Our approach strategically mitigates the common issue of overfitting in models with an excess of features, leading to an improved accuracy rate of 84% in our Random Forest model. Central to our analysis is the understanding that certain aspects in review content, such as quality, fit, and durability, play a pivotal role in influencing customer satisfaction, especially in the clothing sector. We delve into explaining how each of these selected features impacts customer satisfaction, providing a comprehensive view of the elements most appreciated by customers. Our research makes significant contributions in two key areas. First, it enhances predictive modeling within the realm of e-commerce analytics by introducing a streamlined, feature-centric approach. This refinement in methodology not only bolsters the accuracy of customer satisfaction predictions but also sets a new standard for handling feature selection in predictive models. Second, the study provides actionable insights for e-commerce platforms, especially those in the clothing sector. By highlighting which aspects of customer reviews-like quality, fit, and durability-most influence satisfaction, we offer a strategic direction for businesses to tailor their products and services.

• Science of Emotion and Sensibility
• /
• v.10 no.3
• /
• pp.355-366
• /
• 2007

The human's emotion has been used as a key factor in the design area and a marketing technique in a company. Therefore, a company is very interesting in human' emotional factor for the marketing and the design development recently. There have been very few studies carried out on enhancing how to use the emotional design and the emotional marketing in the kitchenware industry. Besides, almost all of the research works, which attempted to encourage how to use emotional factor for the design and the marketing, was carried out in the theory research level rather than a practical research. This research has been conducted both a qualitative research and a quantitative research in the field. The research methods were as follows; first, this research studied what is the emotional design and the emotional marketing through the previous literature research works. second, the researchers set up the hypothesis and research aims through the previous empirical research works from the researchers who are doing this research. Third, as the main body of this research, this research was conducted through the analysis of companies' data, the data come from the interviews by managers, and the data from questionnaire by the users. The results was produced after analyses of the above all the data. As a results, this research has introduced the successful case study which used the emotional design concept and the emotional marketing as a strategic level in the kitchenware industry. This research results would be able to help some one who wants to use the emotional design as a strategic level in order to increase their market share.