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An Integrated Text Analytic Framework for Product Defect Discovery

Citations

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Cited by:

  1. Zhang, Wen & Shi, Jingwen & Wang, Xiaojun & Wynn, Henry, 2023. "AI-powered decision-making in facilitating insurance claim dispute resolution," LSE Research Online Documents on Economics 120649, London School of Economics and Political Science, LSE Library.
  2. Sulin Ba & Yuan Jin & Xinxin Li & Xianghua Lu, 2020. "One Size Fits All? The Differential Impact of Online Reviews and Coupons," Production and Operations Management, Production and Operations Management Society, vol. 29(10), pages 2403-2424, October.
  3. Zibo Liu & Zhijie Lin & Ying Zhang & Yong Tan, 2022. "The Signaling Effect of Sampling Size in Physical Goods Sampling Via Online Channels," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 529-546, February.
  4. Yan, Nina & Xu, Xun & Tong, Tingting & Huang, Liujia, 2021. "Examining consumer complaints from an on-demand service platform," International Journal of Production Economics, Elsevier, vol. 237(C).
  5. Liu, Zhenyuan & Han, Shuihua & Li, Chao & Gupta, Shivam & Sivarajah, Uthayasankar, 2022. "Leveraging customer engagement to improve the operational efficiency of social commerce start-ups," Journal of Business Research, Elsevier, vol. 140(C), pages 572-582.
  6. Zheng Xiang & Qianzhou Du & Yufeng Ma & Weiguo Fan, 2018. "Assessing reliability of social media data: lessons from mining TripAdvisor hotel reviews," Information Technology & Tourism, Springer, vol. 18(1), pages 43-59, April.
  7. Shamsuddin Ahmed & Rayan H. Alsisi, 2022. "Utilitarian Ethical Triage Bayesian Decisions With Monetary Value During COVID-19 - A Bayesian Probability Analysis," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 13(1), pages 1-31, January.
  8. Zhang, Min & Sun, Lin & Wang, G. Alan & Li, Yuzhuo & He, Shuguang, 2022. "Using neutral sentiment reviews to improve customer requirement identification and product design strategies," International Journal of Production Economics, Elsevier, vol. 254(C).
  9. K Thirumaran & Haejin Jang & Zahra Pourabedin & Jacob Wood, 2021. "The Role of Social Media in the Luxury Tourism Business: A Research Review and Trajectory Assessment," Sustainability, MDPI, vol. 13(3), pages 1-13, January.
  10. Pan, Xing & Wang, Huixiong & You, Weijia & Zhang, Manli & Yang, Yuexiang, 2020. "Assessing the reliability of electronic products using customer knowledge discovery," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
  11. Zhan, Yuanzhu & Tan, Kim Hua, 2020. "An analytic infrastructure for harvesting big data to enhance supply chain performance," European Journal of Operational Research, Elsevier, vol. 281(3), pages 559-574.
  12. Xiang, Zheng & Du, Qianzhou & Ma, Yufeng & Fan, Weiguo, 2017. "A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism," Tourism Management, Elsevier, vol. 58(C), pages 51-65.
  13. Rong Liu & Jujun Huang & Zhongju Zhang, 2023. "Tracking disclosure change trajectories for financial fraud detection," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 584-602, February.
  14. Xunyi Wang & Meiling Jiang & Wencui Han & Liangfei Qiu, 2022. "Do Emotions Sell? The Impact of Emotional Expressions on Sales in the Space‐Sharing Economy," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 65-82, January.
  15. Dan Bumblauskas & Amy Igou & Salil Kalghatgi & Cole Wetzel, 2022. "Public Policy and Broader Applications for the Use of Text Analytics During Pandemics," Interfaces, INFORMS, vol. 52(6), pages 568-581, November.
  16. David M. Goldberg & Nohel Zaman & Arin Brahma & Mariano Aloiso, 2022. "Are mortgage loan closing delay risks predictable? A predictive analysis using text mining on discussion threads," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(3), pages 419-437, March.
  17. Xiaohui Zhang & Qianzhou Du & Zhongju Zhang, 2022. "A theory‐driven machine learning system for financial disinformation detection," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3160-3179, August.
  18. Asunur Cezar & Srinivasan Raghunathan & Sumit Sarkar, 2020. "Adversarial Classification: Impact of Agents’ Faking Cost on Firms and Agents," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2789-2807, December.
  19. Yi Yang & Kunpeng Zhang & Yangyang Fan, 2023. "sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics," Information Systems Research, INFORMS, vol. 34(1), pages 137-156, March.
  20. Kyungmin Park & Stephanie Lee & Shahryar Doosti & Yong Tan, 2023. "Provision of helpful review videos: Effects of video characteristics on perceived helpfulness," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2031-2048, July.
  21. Peng Liang & Hasan Cavusoglu & Nan Hu, 2023. "Customers’ managerial expectations and suppliers’ asymmetric cost management," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1975-1993, June.
  22. Jolana Stejskalova, 2023. "We investigated the link between stock returns of automobile companies, Fama French factors, and behavioral attention, represented by demand for a selected car brand belonging to an automobile company," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 71(3), pages 202-221, March.
  23. Yawar Abbas & M. S. I. Malik, 2023. "Defective products identification framework using online reviews," Electronic Commerce Research, Springer, vol. 23(2), pages 899-920, June.
  24. Zaiyan Wei & Mo Xiao & Rong Rong, 2021. "Network Size and Content Generation on Social Media Platforms," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1406-1426, May.
  25. Quariguasi Frota Neto, João & Dutordoir, Marie, 2020. "Mapping the market for remanufacturing: An application of “Big Data” analytics," International Journal of Production Economics, Elsevier, vol. 230(C).
  26. Zhang, Chaowei & Gupta, Ashish & Kauten, Christian & Deokar, Amit V. & Qin, Xiao, 2019. "Detecting fake news for reducing misinformation risks using analytics approaches," European Journal of Operational Research, Elsevier, vol. 279(3), pages 1036-1052.
  27. Ahmed Abbasi & Jingjing Li & Donald Adjeroh & Marie Abate & Wanhong Zheng, 2019. "Don’t Mention It? Analyzing User-Generated Content Signals for Early Adverse Event Warnings," Information Systems Research, INFORMS, vol. 30(3), pages 1007-1028, September.
  28. Horst Treiblmaier & Patrick Mair, 2021. "Textual Data Science for Logistics and Supply Chain Management," Logistics, MDPI, vol. 5(3), pages 1-15, August.
  29. Liu, Zhenyuan & Geng, Ruoqi & Tse, Ying Kei (Mike) & Han, Shuihua, 2023. "Mapping the relationship between social media usage and organizational performance: A meta-analysis," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
  30. Nohel Zaman & David M. Goldberg & Richard J. Gruss & Alan S. Abrahams & Siriporn Srisawas & Peter Ractham & Michelle M.H. Şeref, 2022. "Cross-Category Defect Discovery from Online Reviews: Supplementing Sentiment with Category-Specific Semantics," Information Systems Frontiers, Springer, vol. 24(4), pages 1265-1285, August.
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