User sentiment analysis based on social network information and its application in consumer reconstruction intention.
Due to the increasingly fierce competition in the consumer goods market, customer retention strategies are of great importance for enterprises to maintain their dominance and long-term and stable earnings. Understanding customer repurchase intention and re-patronage is the prerequisite and foundatio...
| Published in: | Computers in Human Behavior Vol. 100; pp. 177 - 184 |
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| Main Authors: | , , |
| Format: | Article |
| Published: |
Elsevier B.V.
Nov2019
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=138100094&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 138100094 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 07475632 JC4 jtl: Computers in Human Behavior issn: 07475632 maglogo: N pubinfo: dt: Nov2019 vid: 100 pid: 2410 pub: Elsevier B.V. artinfo: ui: 138100094 10.1016/j.chb.2018.07.006 ppf: 177 ppct: 7 formats: tig: atl: User sentiment analysis based on social network information and its application in consumer reconstruction intention. aug: au: Zhou, Qingyuan Xu, Zheng Yen, Neil Y. affil: School of Economics and Management, Changzhou Vocational Institute of Mechatronic Technology, China Department of Economics and Management, Changzhou Administrative College, China The third research institute of the Ministry of Public Security, Shanghai, China University of Aizu, Japan su: Electronic commerce Consumer attitudes Marketing Emotions World Wide Web Customer satisfaction Application software Mathematical models Athletic equipment Online social networks Theory Intention sug: subj: Electronic commerce Consumer attitudes Marketing Emotions World Wide Web Customer satisfaction Software publishers (except video game publishers) Software Publishers Custom Computer Programming Services Sporting and Recreational Goods and Supplies Merchant Wholesalers Sporting Goods Stores Amusement and sporting goods merchant wholesalers Sporting and Athletic Goods Manufacturing Marketing Consulting Services Internet Publishing and Broadcasting and Web Search Portals Electronic Shopping Electronic shopping and mail-order houses Application software Mathematical models Athletic equipment Online social networks Theory Intention keyword: Emotion calculation Fuzzy reasoning Network consumption decision Social network information Emotion calculation Fuzzy reasoning Network consumption decision Social network information ab: Due to the increasingly fierce competition in the consumer goods market, customer retention strategies are of great importance for enterprises to maintain their dominance and long-term and stable earnings. Understanding customer repurchase intention and re-patronage is the prerequisite and foundation for business and retailers. Online reviews include ratings and emotional information from many customers on brands and online stores. Consumer repurchase intention can be measured by mining the attitudes and emotions of consumers in the reviews. Based on online reviews, this work used textual sentiment calculation and fuzzy mathematics to study the online repurchase intention of online consumers. Taking satisfaction, trust and promotion efforts as the antecedents, and consumer repurchase intention as the consequent, a model was established based on emotional computing and fuzzy reasoning. Through the satisfaction, trust and promotion effort of five sportswear brands in Taobao, we verified the reasoning for determining consumer repurchase intention of products. Meanwhile, the relationship between the initial purchase intention and repurchase intention of consumers was compared, thus providing the basis for online stores to formulate their marketing strategy and brand segmentation. • Online reviews include customers' ratings and emotional information. • Consumer repurchase intention can be measured by mining these attitudes and emotions. • A model was established based on emotional computing and fuzzy reasoning. • The relationship between initial purchase and repurchase intention was examined. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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