Understanding big consumer opinion data for market-driven product design
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DOI: 10.1080/00207543.2016.1154208
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Cited by:
- Showimy Aldossari & Umi Asma’ Mokhtar & Ahmad Tarmizi Abdul Ghani, 2023. "Factor Influencing the Adoption of Big Data Analytics: A Systematic Literature and Experts Review," SAGE Open, , vol. 13(4), pages 21582440231, December.
- Chao He & Zhongkai Li & Dengzhuo Liu & Guangyu Zou & Shuai Wang, 2023. "Improving the functional performances for product family by mining online reviews," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2809-2824, August.
- Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
- Jindong Qin & Pan Zheng & Xiaojun Wang, 2024. "Product Redesign and Innovation Based on Online Reviews: A Multistage Combined Search Method," INFORMS Journal on Computing, INFORMS, vol. 36(3), pages 742-765, May.
- Xiao, Yan & Li, Congdong & Thürer, Matthias & Liu, Yide & Qu, Ting, 2022. "User preference mining based on fine-grained sentiment analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
- Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
- Andrea Ko & Saira Gillani, 2020. "A Research Review and Taxonomy Development for Decision Support and Business Analytics Using Semantic Text Mining," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 97-126, January.
- Zhen-Yu Chen & Xin-Li Liu & Li-Ping Yin, 2023. "Data-driven product configuration improvement and product line restructuring with text mining and multitask learning," Journal of Intelligent Manufacturing, Springer, vol. 34(4), pages 2043-2059, April.
- Kejia Chen & Jian Jin & Zheng Zhao & Ping Ji, 2022. "Understanding customer regional differences from online opinions: a hierarchical Bayesian approach," Electronic Commerce Research, Springer, vol. 22(2), pages 377-403, June.
- Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
- Liang Hou & Roger J. Jiao, 2020. "Data-informed inverse design by product usage information: a review, framework and outlook," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 529-552, March.
- Fernando, Angeline Gautami & Aw, Eugene Cheng-Xi, 2023. "What do consumers want? A methodological framework to identify determinant product attributes from consumers’ online questions," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
- Elona Marku & Maryia Zaitsava & Manuel Castriotta & Maria Chiara Di Guardo & Michela Loi, 2021. "Big Data and Technology Evolution in the IoT Industry," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(10), pages 1-94, July.
- Huang, Shupeng & Potter, Andrew & Eyers, Daniel & Li, Qinyun, 2021. "The influence of online review adoption on the profitability of capacitated supply chains," Omega, Elsevier, vol. 105(C).
- Yao Jiao & Yu Yang & Hongshan Zhang, 2019. "An integration model for generating and selecting product configuration plans," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1291-1302, March.
- Urbinati, Andrea & Bogers, Marcel & Chiesa, Vittorio & Frattini, Federico, 2019. "Creating and capturing value from Big Data: A multiple-case study analysis of provider companies," Technovation, Elsevier, vol. 84, pages 21-36.
- Farzadnia, Siavash & Raeesi Vanani, Iman, 2022. "Identification of opinion trends using sentiment analysis of airlines passengers' reviews," Journal of Air Transport Management, Elsevier, vol. 103(C).
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