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Optimizing Click-Through in Online Rankings with Endogenous Search Refinement

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Cited by:

  1. Dan Yavorsky & Elisabeth Honka & Keith Chen, 2021. "Consumer search in the U.S. auto industry: The role of dealership visits," Quantitative Marketing and Economics (QME), Springer, vol. 19(1), pages 1-52, March.
  2. Raluca M. Ursu, 2018. "The Power of Rankings: Quantifying the Effect of Rankings on Online Consumer Search and Purchase Decisions," Marketing Science, INFORMS, vol. 37(4), pages 530-552, August.
  3. Alberto Bracci & Jorn Boehnke & Abeer ElBahrawy & Nicola Perra & Alexander Teytelboym & Andrea Baronchelli, 2021. "Macroscopic properties of buyer-seller networks in online marketplaces," Papers 2112.09065, arXiv.org, revised Apr 2022.
  4. Hidalgo-Hidalgo, Marisa & Jiménez, Natalia & López-Pintado, Dunia, 2021. "Social influence and position effects," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 113-131.
  5. Gu, Chris & Wang, Yike, 2022. "Consumer online search with partially revealed information," LSE Research Online Documents on Economics 109871, London School of Economics and Political Science, LSE Library.
  6. Jia Liu & Olivier Toubia & Shawndra Hill, 2021. "Content-Based Model of Web Search Behavior: An Application to TV Show Search," Management Science, INFORMS, vol. 67(10), pages 6378-6398, October.
  7. Chen Jin & Luyi Yang & Kartik Hosanagar, 2023. "To Brush or Not to Brush: Product Rankings, Consumer Search, and Fake Orders," Information Systems Research, INFORMS, vol. 34(2), pages 532-552, June.
  8. Hunold, Matthias & Kesler, Reinhold & Laitenberger, Ulrich, 2018. "Hotel rankings of online travel agents, channel pricing and consumer protection," DICE Discussion Papers 300, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
  9. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2019. "Modeling Consumer Footprints on Search Engines: An Interplay with Social Media," Management Science, INFORMS, vol. 65(3), pages 1363-1385, March.
  10. Huang, Yangguang & Xie, Yu, 2023. "Search algorithm, repetitive information, and sales on online platforms," International Journal of Industrial Organization, Elsevier, vol. 88(C).
  11. Pedro M. Gardete & Carlos D. Santos, 2020. "No data? No problem! A Search-based Recommendation System with Cold Starts," Papers 2010.03455, arXiv.org.
  12. Morgane Cure & Matthias Hunold & Reinhold Kesler & Ulrich Laitenberger & Thomas Larrieu, 2022. "Vertical integration of platforms and product prominence," Quantitative Marketing and Economics (QME), Springer, vol. 20(4), pages 353-395, December.
  13. Harris, Mark N. & Novarese, Marco & Wilson, Chris M., 2022. "Being in the right place: A natural field experiment on the causes of position effects in individual choice," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 24-40.
  14. Wei Zhou & Zidong Wang, 2020. "Competing for Search Traffic in Query Markets: Entry Strategy, Platform Design, and Entrepreneurship," Working Papers 20-12, NET Institute.
  15. Jiarui Liu, 2021. "Sequential Search Models: A Pairwise Maximum Rank Approach," Papers 2104.13865, arXiv.org, revised Nov 2021.
  16. Amelia Fletcher & Peter L Ormosi & Rahul Savani, 2023. "Recommender Systems and Supplier Competition on Platforms," Journal of Competition Law and Economics, Oxford University Press, vol. 19(3), pages 397-426.
  17. Blasco-Arcas, Lorena & Lee, Hsin-Hsuan Meg & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2022. "The role of consumer data in marketing: A research agenda," Journal of Business Research, Elsevier, vol. 146(C), pages 436-452.
  18. Chris Gu & Yike Wang, 2022. "Consumer Online Search with Partially Revealed Information," Management Science, INFORMS, vol. 68(6), pages 4215-4235, June.
  19. Kris J. Ferreira & Sunanda Parthasarathy & Shreyas Sekar, 2022. "Learning to Rank an Assortment of Products," Management Science, INFORMS, vol. 68(3), pages 1828-1848, March.
  20. Rafael P. Greminger, 2022. "Optimal Search and Discovery," Management Science, INFORMS, vol. 68(5), pages 3904-3924, May.
  21. MARTENS Bertin, 2020. "An economic perspective on data and platform market power," JRC Working Papers on Digital Economy 2020-09, Joint Research Centre.
  22. Hana Choi & Carl F. Mela, 2019. "Monetizing Online Marketplaces," Marketing Science, INFORMS, vol. 38(6), pages 948-972, November.
  23. Matthias Hunold & Reinhold Kesler & Ulrich Laitenberger, 2020. "Rankings of Online Travel Agents, Channel Pricing, and Consumer Protection," Marketing Science, INFORMS, vol. 39(1), pages 92-116, January.
  24. Bertin Martens & Alexandre de Streel & Inge Graef & Thomas Tombal & Nestor Duch-Brown, 2020. "Business-to-Business data sharing: An economic and legal analysis," JRC Working Papers on Digital Economy 2020-05, Joint Research Centre.
  25. Hongming Gao & Di Deng & Hongwei Liu & Zhouyang Liang, 2024. "Sequential framework for analyzing mobile click-through decision in online travel agency with user digital footprints," Information Technology & Tourism, Springer, vol. 26(4), pages 679-709, December.
  26. Yangguang Huang, 2021. "Search Algorithm and Sales on Online Platforms: Evidence from Food Delivery Platforms," HKUST CEP Working Papers Series 202101, HKUST Center for Economic Policy.
  27. Raluca M. Ursu & Daria Dzyabura, 2020. "Retailers’ product location problem with consumer search," Quantitative Marketing and Economics (QME), Springer, vol. 18(2), pages 125-154, June.
  28. Lauren Chenarides & Miguel I. Gómez & Timothy J. Richards & Koichi Yonezawa, 2024. "Retail Markups and Discount-Store Entry," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 64(1), pages 147-181, February.
  29. 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.
  30. Robert Donnelly & Ayush Kanodia & Ilya Morozov, 2024. "Welfare Effects of Personalized Rankings," Marketing Science, INFORMS, vol. 43(1), pages 92-113, January.
  31. Prasad Vana & Anja Lambrecht, 2021. "The Effect of Individual Online Reviews on Purchase Likelihood," Marketing Science, INFORMS, vol. 40(4), pages 708-730, July.
  32. Matthias Hunold & Ulrich Laitenberger & Guillaume Thébaudin, 2022. "Bye-box: An Analysis of Non-Promotion on the Amazon Marketplace 03.06.2022," Working Papers hal-04104183, HAL.
  33. Jun Li & Serguei Netessine, 2020. "Higher Market Thickness Reduces Matching Rate in Online Platforms: Evidence from a Quasiexperiment," Management Science, INFORMS, vol. 66(1), pages 271-289, January.
  34. Gibbard, Peter, 2023. "Search with two stages of information acquisition: A structural econometric model of online purchases," Information Economics and Policy, Elsevier, vol. 65(C).
  35. Rafael P. Greminger, 2022. "Trade-Offs Between Ranking Objectives: Reduced-Form Evidence and Structural Estimation," Papers 2210.16408, arXiv.org, revised Feb 2025.
  36. Bae, Joonho & Park, Jinkyoo & Choi, Jeonghye & Bum Soh, Seung, 2023. "A recommending system for mobile games using the dynamic nonparametric model," Journal of Business Research, Elsevier, vol. 167(C).
  37. Raluca M. Ursu & Qianyun Zhang & Elisabeth Honka, 2023. "Search Gaps and Consumer Fatigue," Marketing Science, INFORMS, vol. 42(1), pages 110-136, January.
  38. Jacobides, Michael G. & Cennamo, Carmelo & Gawer, Annabelle, 2024. "Externalities and complementarities in platforms and ecosystems: From structural solutions to endogenous failures," Research Policy, Elsevier, vol. 53(1).
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