IDEAS home Printed from https://ideas.repec.org/r/inm/ormksc/v36y2017i4p542-564.html
   My bibliography  Save this item

Optimizing Click-Through in Online Rankings with Endogenous Search Refinement

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


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. Hunold, Matthias & Kesler, Reinhold & Laitenberger, Ulrich, 2018. "Hotel rankings of online travel agents, channel pricing, and consumer protection," ZEW Discussion Papers 18-059, ZEW - Leibniz Centre for European Economic Research.
  3. Hana Choi & Carl F. Mela, 2019. "Monetizing Online Marketplaces," Marketing Science, INFORMS, vol. 38(6), pages 948-972, November.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  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. 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.
  13. 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.
  14. Chris Gu & Yike Wang, 2022. "Consumer Online Search with Partially Revealed Information," Management Science, INFORMS, vol. 68(6), pages 4215-4235, June.
  15. 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.
  16. 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.
  17. Robert Donnelly & Ayush Kanodia & Ilya Morozov, 2024. "Welfare Effects of Personalized Rankings," Marketing Science, INFORMS, vol. 43(1), pages 92-113, January.
  18. 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.
  19. 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).
  20. Rafael P. Greminger, 2022. "Heterogeneous Position Effects and the Power of Rankings," Papers 2210.16408, arXiv.org, revised Dec 2023.
  21. 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).
  22. 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.
  23. 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.
  24. Wei Zhou & Zidong Wang, 2020. "Competing for Search Traffic in Query Markets: Entry Strategy, Platform Design, and Entrepreneurship," Working Papers 20-12, NET Institute.
  25. MARTENS Bertin, 2020. "An economic perspective on data and platform market power," JRC Working Papers on Digital Economy 2020-09, Joint Research Centre.
  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. 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.
  28. 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.
  29. 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).
  30. 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.
  31. 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.
  32. 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.
  33. Jiarui Liu, 2021. "Sequential Search Models: A Pairwise Maximum Rank Approach," Papers 2104.13865, arXiv.org, revised Nov 2021.
  34. 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.
  35. Rafael P. Greminger, 2022. "Optimal Search and Discovery," Management Science, INFORMS, vol. 68(5), pages 3904-3924, May.
  36. 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.
  37. Prasad Vana & Anja Lambrecht, 2021. "The Effect of Individual Online Reviews on Purchase Likelihood," Marketing Science, INFORMS, vol. 40(4), pages 708-730, July.
  38. Raluca M. Ursu & Qianyun Zhang & Elisabeth Honka, 2023. "Search Gaps and Consumer Fatigue," Marketing Science, INFORMS, vol. 42(1), pages 110-136, January.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.