Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model-Reference-Cited by-同舟云学术

Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model

Published:2019-02-07 Issue:22 Volume:57 Page:7068-7088
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Bi Jian-Wu¹^ORCID,Liu Yang¹^ORCID,Fan Zhi-Ping¹²^ORCID,Cambria Erik³

Affiliation:

1. Department of Information Management and Decision Sciences, School of Business Administration, Northeastern University, Shenyang, People’s Republic of China

2. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, People’s Republic of China

3. School of Computer Science and Engineering, Nanyang Technological University, Singapore

Funder

National Natural Science Foundation of China

Liaoning BaiQianWan Talents Program

Fundamental Research Funds for the Central Universities, China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1574989

Reference58 articles.

1. Customer Satisfaction, Market Share, and Profitability: Findings from Sweden

2. Optimal process integration architectures in off-site construction: Theorizing the use of multi-skilled resources

3. Wisdom of crowds: Conducting importance-performance analysis (IPA) through online reviews

4. 10.1162/jmlr.2003.3.4-5.993

5. The wisdom of amateur crowds: Evidence from an online community of sports tipsters

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