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Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data

Citations

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Cited by:

  1. Elliott, M. & Galeotti., A. & Koh., A. & Li, W., 2021. "Market Segmentation Through Information," Cambridge Working Papers in Economics 2105, Faculty of Economics, University of Cambridge.
  2. de Haan, Evert & Padigar, Manjunath & El Kihal, Siham & Kübler, Raoul & Wieringa, Jaap E., 2024. "Unstructured data research in business: Toward a structured approach," Journal of Business Research, Elsevier, vol. 177(C).
  3. Mengqiang Pan & Nao Li & Xiankai Huang, 2022. "Asymmetrical impact of service attribute performance on consumer satisfaction: an asymmetric impact-attention-performance analysis," Information Technology & Tourism, Springer, vol. 24(2), pages 221-243, June.
  4. Qian, Yang & Ling, Haifeng & Meng, Xiangrui & Jiang, Yuanchun & Chai, Yidong & Liu, Yezheng, 2024. "Voice of the Professional: Acquiring competitive intelligence from large-scale professional generated contents," Journal of Business Research, Elsevier, vol. 180(C).
  5. Zhou, Meihua & Angelopoulos, Spyros & Ou, Carol & Liu, Hongwei & Liang, Zhouyang, 2023. "Optimization of dynamic product offerings on online marketplaces: A network theory perspective," Other publications TiSEM 75d71155-88bf-4ff7-aba1-9, Tilburg University, School of Economics and Management.
  6. Yang Qian & Yuanchun Jiang & Yanan Du & Jianshan Sun & Yezheng Liu, 2020. "Segmenting market structure from multi-channel clickstream data: a novel generative model," Electronic Commerce Research, Springer, vol. 20(3), pages 509-533, September.
  7. Saridakis, Charalampos & Katsikeas, Constantine S. & Angelidou, Sofia & Oikonomidou, Maria & Pratikakis, Polyvios, 2023. "Mining Twitter lists to extract brand-related associative information for celebrity endorsement," European Journal of Operational Research, Elsevier, vol. 311(1), pages 316-332.
  8. Maximilian Matthe & Daniel M. Ringel & Bernd Skiera, 2023. "Mapping Market Structure Evolution," Marketing Science, INFORMS, vol. 42(3), pages 589-613, May.
  9. Diana Tran Nhat & Laura Thäter & Timm Teubner, 2024. "The duality of reputation portability: Investigating the demand effect of imported ratings across online labor markets," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-21, December.
  10. Borah, Abhishek & Rutz, Oliver, 2024. "Enhanced sales forecasting model using textual search data: Fusing dynamics with big data," International Journal of Research in Marketing, Elsevier, vol. 41(4), pages 632-647.
  11. Ning Zhong & David A. Schweidel, 2020. "Capturing Changes in Social Media Content: A Multiple Latent Changepoint Topic Model," Marketing Science, INFORMS, vol. 39(4), pages 827-846, July.
  12. 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.
  13. Adam N. Smith & Jim E. Griffin, 2023. "Shrinkage priors for high-dimensional demand estimation," Quantitative Marketing and Economics (QME), Springer, vol. 21(1), pages 95-146, March.
  14. Stourm, Valeria & Bradlow, Eric T., 2023. "Cross-reward effects in a coalition loyalty program: The impact of a point currency devaluation," International Journal of Research in Marketing, Elsevier, vol. 40(2), pages 276-293.
  15. Pradeep Chintagunta & Dominique M. Hanssens & John R. Hauser, 2016. "Editorial—Marketing Science and Big Data," Marketing Science, INFORMS, vol. 35(3), pages 341-342, May.
  16. Ratchford, Brian & Soysal, Gonca & Zentner, Alejandro & Gauri, Dinesh K., 2022. "Online and offline retailing: What we know and directions for future research," Journal of Retailing, Elsevier, vol. 98(1), pages 152-177.
  17. Charlson, G., 2020. "Searching for Results: Optimal Platform Design in a Network Setting," Cambridge Working Papers in Economics 20118, Faculty of Economics, University of Cambridge.
  18. Dawn Iacobucci & Maria Petrescu & Anjala Krishen & Michael Bendixen, 2019. "The state of marketing analytics in research and practice," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(3), pages 152-181, September.
  19. Carlo Baldassi & Simone Cerreia-Vioglio & Fabio Maccheroni & Massimo Marinacci & Marco Pirazzini, 2020. "A Behavioral Characterization of the Drift Diffusion Model and Its Multialternative Extension for Choice Under Time Pressure," Management Science, INFORMS, vol. 66(11), pages 5075-5093, November.
  20. Xuan Gong & Yunchan Zhu & Rizwan Ali & Ruijin Guo, 2019. "Capturing Associations and Sustainable Competitiveness of Brands from Social Tags," Sustainability, MDPI, vol. 11(6), pages 1-20, March.
  21. Charlson, G., 2021. "Rating the Competition: Seller Ratings and Intra-Platform Competition," Cambridge Working Papers in Economics 2106, Faculty of Economics, University of Cambridge.
  22. Adam N. Smith & Peter E. Rossi & Greg M. Allenby, 2019. "Inference for Product Competition and Separable Demand," Marketing Science, INFORMS, vol. 38(4), pages 690-710, July.
  23. Yang, Guang & Tian, Lin & Cai, Mei & Cao, Jie & Gong, Zaiwu, 2025. "Vertically probabilistic selling mechanism under asymmetric quality-tier competition: An analytical exploration," International Journal of Production Economics, Elsevier, vol. 286(C).
  24. Damangir, Sina & Du, Rex Yuxing & Hu, Ye, 2018. "Uncovering Patterns of Product Co-consideration: A Case Study of Online Vehicle Price Quote Request Data," Journal of Interactive Marketing, Elsevier, vol. 42(C), pages 1-17.
  25. Shrihari Sridhar & Eric Fang, 2019. "New vistas for marketing strategy: digital, data-rich, and developing market (D3) environments," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 977-985, November.
  26. Honka, Elisabeth & Seiler, Stephan & Ursu, Raluca, 2024. "Consumer search: What can we learn from pre-purchase data?," Journal of Retailing, Elsevier, vol. 100(1), pages 114-129.
  27. Jaeger, Lena-Christin & Höhler, Julia, 2021. "Using word of mouth data from social media to identify asymmetric competition in food retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
  28. Torsten J. Gerpott & Jan Berends, 2022. "Competitive pricing on online markets: a literature review," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(6), pages 596-622, December.
  29. Martin Spann & Bernd Skiera, 2020. "Dynamische Preisgestaltung in der digitalisierten Welt [Dynamic Pricing in a Digitized World]," Schmalenbach Journal of Business Research, Springer, vol. 72(3), pages 321-342, September.
  30. Scholz, Michael & Pfeiffer, Jella & Rothlauf, Franz, 2017. "Using PageRank for non-personalized default rankings in dynamic markets," European Journal of Operational Research, Elsevier, vol. 260(1), pages 388-401.
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