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

References

• Anderson, E. W., C. Fornell, and D. R. Lehmann. 1994. “Customer Satisfaction, Market Share, and Profitability: Findings from Sweden.” Journal of Marketing 58 (3): 53–66.
   Web of Science ®Google Scholar
• Arashpour, M., R. Wakefield, B. Abbasi, M. Arashpour, and R. Hosseini. 2018. “Optimal Process Integration Architectures in Off-site Construction: Theorizing the use of Multi-skilled Resources.” Architectural Engineering and Design Management 14 (1–2): 46–59.
   Web of Science ®Google Scholar
• Bi, J. W., Y. Liu, Z. P. Fan, and J. Zhang. 2019. “Wisdom of Crowds: Conducting Importance-performance Analysis (IPA) Through Online Reviews.” Tourism Management 70: 460–478.
   Web of Science ®Google Scholar
• Blei, D. M., A. Y. Ng, and M. I. Jordan. 2003. “Latent Dirichlet Allocation.” Journal of Machine Learning Research 3: 993–1022.
   Web of Science ®Google Scholar
• Brown, A., and J. J. Reade. 2019. “The Wisdom of Amateur Crowds: Evidence from an Online Community of Sports Tipsters.” European Journal of Operational Research 272 (3): 1073–1081.
   Web of Science ®Google Scholar
• Cambria, E., D. Das, S. Bandyopadhyay, and A. Feraco. 2017. A Practical Guide to Sentiment Analysis. Heidelberg: Springer.
   Google Scholar
• Chaturvedi, I., E. Ragusa, P. Gastaldo, R. Zunino, and E. Cambria. 2017. “Bayesian Network Based Extreme Learning Machine for Subjectivity Detection.” Journal of the Franklin Institute 355 (4): 1780–1797.
   Web of Science ®Google Scholar
• Chen, C. C., and M. C. Chuang. 2008. “Integrating the Kano Model Into a Robust Design Approach to Enhance Customer Satisfaction with Product Design.” International Journal of Production Economics 114 (2): 667–681.
   Web of Science ®Google Scholar
• Chen, K., G. Kou, J. Shang, and Y. Chen. 2015. “Visualizing Market Structure Through Online Product Reviews: Integrate Topic Modeling, TOPSIS, and Multi-dimensional Scaling Approaches.” Electronic Commerce Research and Applications 14 (1): 58–74.
   Web of Science ®Google Scholar
• Chevalier, J. A., and D. Mayzlin. 2006. “The Effect of Word of Mouth on Sales: Online Book Reviews.” Journal of Marketing Research 43 (3): 345–354.
   Web of Science ®Google Scholar
• Chiang, D. M., R. S. Guo, and F. Y. Pai. 2008. “Improved Customer Satisfaction with a Hybrid Dispatching Rule in Semiconductor Back-end Factories.” International Journal of Production Research 46 (17): 4903–4923.
   Web of Science ®Google Scholar
• Chong, A. Y. L., E. Ch’ng, M. J. Liu, and B. Li. 2017. “Predicting Consumer Product Demands via Big Data: the Roles of Online Promotional Marketing and Online Reviews.” International Journal of Production Research 55 (17): 5142–5156.
   Web of Science ®Google Scholar
• Cui, R., S. Gallino, A. Moreno, and D. J. Zhang. 2018. “The Operational Value of Social Media Information.” Production and Operations Management 27 (10): 1749–1769.
   Web of Science ®Google Scholar
• Culotta, A., and J. Cutler. 2016. “Mining Brand Perceptions from Twitter Social Networks.” Marketing Science 35 (3): 343–362.
   Web of Science ®Google Scholar
• Decker, R., and M. Trusov. 2010. “Estimating Aggregate Consumer Preferences from Online Product Reviews.” International Journal of Research in Marketing 27 (4): 293–307.
   Web of Science ®Google Scholar
• Delice, E. K., and Z. Güngör. 2013. “Determining Design Requirements in QFD Using Fuzzy Mixed-integer Goal Programming: Application of a Decision Support System.” International Journal of Production Research 51 (21): 6378–6396.
   Web of Science ®Google Scholar
• Farhadloo, M., R. A. Patterson, and E. Rolland. 2016. “Modeling Customer Satisfaction from Unstructured Data Using a Bayesian Approach.” Decision Support Systems 90: 1–11.
   Web of Science ®Google Scholar
• Farhadloo, M., and E. Rolland. 2013. “Multi-class Sentiment Analysis with Clustering and Score Representation.” IEEE 13th International Conference on Data Mining Workshops (ICDMW), TX, USA, 904–912.
   Google Scholar
• Ghorbani, M., S. Mohammad Arabzad, and A. Shahin. 2013. “A Novel Approach for Supplier Selection Based on the Kano Model and Fuzzy MCDM.” International Journal of Production Research 51 (18): 5469–5484.
   Web of Science ®Google Scholar
• Goswami, M., Y. Daultani, and M. K. Tiwari. 2017. “An Integrated Framework for Product Line Design for Modular Products: Product Attribute and Functionality-driven Perspective.” International Journal of Production Research 55 (13): 3862–3885.
   Web of Science ®Google Scholar
• Green, P. E., and V. Srinivasan. 1978. “Conjoint Analysis in Consumer Research: Issues and Outlook.” Journal of Consumer Research 5 (2): 103–123.
   Web of Science ®Google Scholar
• Grewal, R., J. A. Cote, and H. Baumgartner. 2004. “Multicollinearity and Measurement Error in Structural Equation Models: Implications for Theory Testing.” Marketing Science 23 (4): 519–529.
   Web of Science ®Google Scholar
• Groves, R. M. 2006. “Nonresponse Rates and Nonresponse Bias in Household Surveys.” Public Opinion Quarterly 70 (5): 646–675.
   Web of Science ®Google Scholar
• Groves, R. M., D. A. Dillman, J. L. Eltinge, and R. J. A. Little. 2002. Survey Nonresponse. New York: John Wiley and Sons.
   Google Scholar
• Guo, Y., S. J. Barnes, and Q. Jia. 2017. “Mining Meaning from Online Ratings and Reviews: Tourist Satisfaction Analysis Using Latent Dirichlet Allocation.” Tourism Management 59: 467–483.
   Web of Science ®Google Scholar
• Hallowell, R. 1996. “The Relationships of Customer Satisfaction, Customer Loyalty, and Profitability: An Empirical Study.” International Journal of Service Industry Management 7 (4): 27–42.
   Google Scholar
• Hu, N., P. A. Pavlou, and J. Zhang. 2009. “Why Do Product Reviews Have a J-shaped Distribution?” Communications of the ACM 52 (10): 144–147.
   Web of Science ®Google Scholar
• Hu, N., P. A. Pavlou, and J. Zhang. 2017. “On Self-selection Biases in Online Product Reviews.” MIS Quarterly 41 (2): 449–471.
   Web of Science ®Google Scholar
• Huang, J., X. Y. You, H. C. Liu, and S. L. Si. 2018. “New Approach for Quality Function Deployment Based on Proportional Hesitant Fuzzy Linguistic Term Sets and Prospect Theory.” International Journal of Production Research, doi:10.1080/00207543.2018.1470343.
   PubMed Web of Science ®Google Scholar
• Hui, T. K., D. Wan, and A. Ho. 2007. “Tourists’ Satisfaction, Recommendation and Revisiting Singapore.” Tourism Management 28 (4): 965–975.
   Web of Science ®Google Scholar
• Iqbal, Z., N. P. Grigg, K. Govindaraju, and N. M. Campbell-Allen. 2016. “A Distance-based Methodology for Increased Extraction of Information from the Roof Matrices in QFD Studies.” International Journal of Production Research 54 (11): 3277–3293.
   Web of Science ®Google Scholar
• Ji, P., J. Jin, T. Wang, and Y. Chen. 2014. “Quantification and Integration of Kano’s Model Into QFD for Optimising Product Design.” International Journal of Production Research 52 (21): 6335–6348.
   Web of Science ®Google Scholar
• Jia, W., Z. Liu, Z. Lin, C. Qiu, and J. Tan. 2016. “Quantification for the Importance Degree of Engineering Characteristics with a Multi-level Hierarchical Structure in QFD.” International Journal of Production Research 54 (6): 1627–1649.
   Web of Science ®Google Scholar
• Jiang, C., Y. Liu, Y. Ding, K. Liang, and R. Duan. 2017. “Capturing Helpful Reviews from Social Media for Product Quality Improvement: A Multi-class Classification Approach.” International Journal of Production Research 55 (12): 3528–3541.
   Web of Science ®Google Scholar
• Kano, N., N. Seraku, F. Takahashi, and S. Tsuji. 1984. “Attractive Quality and Must-be Quality.” Journal of Japanese Society for Quality Control 14 (2): 39–48.
   Google Scholar
• Kim, W. G., C. Y. N. Ng, and Y. S. Kim. 2009. “Influence of Institutional DINESERV on Customer Satisfaction, Return Intention, and Word-of-mouth.” International Journal of Hospitality Management 28 (1): 10–17.
   Web of Science ®Google Scholar
• Li, Y. L., Y. F. Du, and K. S. Chin. 2018. “Determining the Importance Ratings of Customer Requirements in Quality Function Deployment Based on Interval Linguistic Information.” International Journal of Production Research, doi:10.1080/00207543.2017.1417650.
   PubMed Web of Science ®Google Scholar
• Liu, Y., J. W. Bi, and Z. P. Fan. 2017a. “Ranking Products Through Online Reviews: A Method Based on Sentiment Analysis Technique and Intuitionistic Fuzzy set Theory.” Information Fusion 36: 149–161.
   Web of Science ®Google Scholar
• Liu, Y., J. W. Bi, and Z. P. Fan. 2017b. “Multi-class Sentiment Classification: The Experimental Comparisons of Feature Selection and Machine Learning Algorithms.” Expert Systems with Applications 80: 323–339.
   Web of Science ®Google Scholar
• Liu, Y., L. Wang, X. V. Wang, X. Xu, and L. Zhang. 2018. “Scheduling in Cloud Manufacturing: State-of-the-art and Research Challenges.” International Journal of Production Research, doi:10.1080/00207543.2018.1449978.
   PubMed Web of Science ®Google Scholar
• Matzler, K., and H. H. Hinterhuber. 1998. “How to Make Product Development Projects More Successful by Integrating Kano’s Model of Customer Satisfaction Into Quality Function Deployment.” Technovation 18 (1): 25–38.
   Web of Science ®Google Scholar
• Mikulić, J., and D. Prebežac. 2012. “Accounting for Dynamics in Attribute-importance and for Competitor Performance to Enhance Reliability of BPNN-based Importance–Performance Analysis.” Expert Systems with Applications 39 (5): 5144–5153.
   Web of Science ®Google Scholar
• Mudambi, S. M., and D. Schuff. 2010. “What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com.” MIS Quarterly 34 (1): 185–200.
   Web of Science ®Google Scholar
• Ngo-Ye, T. L., and A. P. Sinha. 2014. “The Influence of Reviewer Engagement Characteristics on Online Review Helpfulness: A Text Regression Model.” Decision Support Systems 61: 47–58.
   Web of Science ®Google Scholar
• Oliver, R. L. 1980. “A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions.” Journal of Marketing Research 17 (4): 460–469.
   Web of Science ®Google Scholar
• Onishi, H., and P. Manchanda. 2012. “Marketing Activity, Blogging and Sales.” International Journal of Research in Marketing 29 (3): 221–234.
   Web of Science ®Google Scholar
• Pang, B., and L. Lee. 2008. “Opinion Mining and Sentiment Analysis.” Foundations and Trends in Information Retrieval 2 (1–2): 1–135.
   Google Scholar
• Peng, Y., G. Kou, and J. Li. 2014. “A Fuzzy Promethee Approach for Mining Customer Reviews in Chinese.” Arabian Journal for Science and Engineering 39 (6): 5245–5252.
   Web of Science ®Google Scholar
• Phillips, P., K. Zigan, M. M. S. Silva, and R. Schegg. 2015. “The Interactive Effects of Online Reviews on the Determinants of Swiss Hotel Performance: A Neural Network Analysis.” Tourism Management 50: 130–141.
   Web of Science ®Google Scholar
• Poria, S., I. Chaturvedi, E. Cambria, and F. Bisio. 2016. “Sentic LDA: Improving on LDA with Semantic Similarity for Aspect-based Sentiment Analysis.” International Joint Conference on Neural Networks (IJCNN), Vancouver, BC, Canada, 4465–4473.
   Google Scholar
• Pournarakis, D. E., D. N. Sotiropoulos, and G. M. Giaglis. 2017. “A Computational Model for Mining Consumer Perceptions in Social Media.” Decision Support Systems 93: 98–110.
   Web of Science ®Google Scholar
• Qi, J., Z. Zhang, S. Jeon, and Y. Zhou. 2016. “Mining Customer Requirements from Online Reviews: A Product Improvement Perspective.” Information & Management 53 (8): 951–963.
   Web of Science ®Google Scholar
• Sepehr, S., and M. Head. 2018. “Understanding the Role of Competition in Video Gameplay Satisfaction.” Information & Management 55 (4): 407–421.
   Web of Science ®Google Scholar
• Surowiecki, J. 2004. The Wisdom of Crowds. New York: Doubleday.
   Google Scholar
• Tirunillai, S., and G. J. Tellis. 2014. “Mining Marketing Meaning from Online Chatter: Strategic Brand Analysis of big Data Using Latent Dirichlet Allocation.” Journal of Marketing Research 51 (4): 463–479.
   Web of Science ®Google Scholar
• Wang, X. V., and L. Wang. 2018. “Digital Twin-based WEEE Recycling, Recovery and Remanufacturing in the Background of Industry 4.0.” International Journal of Production Research, doi:10.1080/00207543.2018.1497819.
   PubMed Web of Science ®Google Scholar
• Woodruff, R. B., E. R. Cadotte, and R. L. Jenkins. 1983. “Modeling Consumer Satisfaction Processes Using Experience-based Norms.” Journal of Marketing Research 20 (3): 296–304.
   Web of Science ®Google Scholar
• Xiao, S., C. P. Wei, and M. Dong. 2016. “Crowd Intelligence: Analyzing Online Product Reviews for Preference Measurement.” Information & Management 53 (2): 169–182.
   Web of Science ®Google Scholar