Developing a personal value analysis method of social media to support customer segmentation and business model innovation

Tsung Yi Chen, Hsiang An Cheng, Yuh-Min Chen

研究成果: Article

摘要

Companies need to find out about the personal values of customers and identify customer segments before developing effective business models (BMs) or marketing strategies. Therefore, understanding the personal values of customers is critical in BM design. Traditional personal value evaluation methods are laborious and time-consuming. In recent years, social media have become an important platform for people to share ideas and express views, making the presence of a huge amount of opinions on platforms that can cater for the demand of data for personal value analysis of customers. This study took Facebook and Instagram as the targets and developed a novel personal value forecasting method to help enterprises obtain the various personal values of customer segments automatically at a lower cost. This study adopted Schwartz's value theory as the value model and proposed a consistency model and a relativity model for weighted calculations, so as to determine the feature of a value tag. Finally, the feature selection algorithm and classification algorithm were used for judging values. In the evaluation phase of this study, 61 participants were recruited to test the proposed method. The proposed method could assist enterprises in better understanding personal value information.

原文English
文章編號e12374
期刊Expert Systems
36
發行號3
DOIs
出版狀態Published - 2019 六月 1

指紋

Value engineering
Social Media
Business Model
Segmentation
Customers
Innovation
Industry
Relativity
Classification Algorithm
Evaluation Method
Feature Selection
Forecasting
Feature extraction
Marketing
Express
Model
Target
Evaluation
Costs

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence

引用此文

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Developing a personal value analysis method of social media to support customer segmentation and business model innovation. / Chen, Tsung Yi; Cheng, Hsiang An; Chen, Yuh-Min.

於: Expert Systems, 卷 36, 編號 3, e12374, 01.06.2019.

研究成果: Article

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