The Economics of Bestsellers: Consumer Search, Sales Ranking, and Social Learning

References

• Alizamir S, de Véricourt F, Wang S (2020) Warning against recurring risks: An information design approach. Management Sci. 66(10):4612–4629.Link, Google Scholar
• Anunrojwong J, Iyer K, Manshadi V (2023) Information design for congested social services: Optimal need-based persuasion. Management Sci. 69(7):3778–3796.Link, Google Scholar
• Banerjee AV (1992) A simple model of herd behavior. Quart. J. Econom. 107(3):797–817.Crossref, Google Scholar
• Bassett TJ, Walter CM (2001) Booksellers and bestsellers: British book sales as documented by the bookman, 1891-1906. Book History 4(1):205–236.Crossref, Google Scholar
• Bikhchandani S, Hirshleifer D, Welch I (1992) A theory of fads, fashion, custom, and cultural change as informational cascades. J. Political Econom. 100(5):992–1026.Crossref, Google Scholar
• Boleslavsky R, Cotton CS, Gurnani H (2017) Demonstrations and price competition in new product release. Management Sci. 63(6):2016–2026.Link, Google Scholar
• Branco F, Sun M, Villas-Boas JM (2016) Too much information? Information provision and search costs. Marketing Sci. 35(4):605–618.Link, Google Scholar
• Cai H, Chen Y, Fang H (2009) Observational learning: Evidence from a randomized natural field experiment. Amer. Econom. Rev. 99(3):864–882.Crossref, Google Scholar
• Callander S, Hörner J (2009) The wisdom of the minority. J. Econom. Theory 144(4):1421–1439.Crossref, Google Scholar
• Calvo E, Cui R, Wagner L (2023) Disclosing product availability in online retail. Manufacturing Service Oper. Management 25(2):427–447.Link, Google Scholar
• Candogan O, Drakopoulos K (2020) Optimal signaling of content accuracy: Engagement vs. misinformation. Oper. Res. 68(2):497–515.Abstract, Google Scholar
• Carare O (2012) The impact of bestseller rank on demand: Evidence from the app market. Internat. Econom. Rev. 53(3):717–742.Crossref, Google Scholar
• Compiani G, Lewis G, Peng S, Wang P (2024) Online search and optimal product rankings: An empirical framework. Marketing Sci. 43(3):615–636.Link, Google Scholar
• Derakhshan M, Golrezaei N, Manshadi V, Mirrokni V (2022) Product ranking on online platforms. Management Sci. 68(6):4024–4041.Link, Google Scholar
• Drakopoulos K, Jain S, Randhawa R (2020) Persuading customers to buy early: The value of personalized information provisioning. Management Sci. 67(2):828–853.Link, Google Scholar
• Fu F (2020) The role of sales information in online consumer search. Unpublished PhD thesis, University of Chicago, IL.Google Scholar
• Garcia D, Shelegia S (2018) Consumer search with observational learning. RAND J. Econom. 49(1):224–253.Crossref, Google Scholar
• Glazer J, Kremer I, Perry M (2021) The wisdom of the crowd when acquiring information is costly. Management Sci. 67(10):6443–6456.Link, Google Scholar
• Hendricks K, Sorensen A, Wiseman T (2012) Observational learning and demand for search goods. Amer. Econom. J. Microeconomics 4(1):1–31.Crossref, Google Scholar
• Hong H, Shum M (2006) Using price distributions to estimate search costs. RAND J. Econom. 37(2):257–275.Crossref, Google Scholar
• Hu M, Shi M, Wu J (2013) Simultaneous vs. sequential group-buying mechanisms. Management Sci. 59(12):2805–2822.Link, Google Scholar
• Hu M, Wang Z, Feng Y (2020) Information disclosure and pricing policies for sales of network goods. Oper. Res. 68(4):1162–1177.Link, Google Scholar
• Jin C, Yang L, Hosanagar K (2023) To brush or not to brush: Product rankings, consumer search and fake orders. Inform. Systems Res. 34(2):532–552.Link, Google Scholar
• Küçükgül C, Özer Ö, Wang S (2022) Engineering social learning: Information design of time-locked sales campaigns for online platforms. Management Sci. 68(7):4899–4918.Link, Google Scholar
• Liu Y, Cooper WL, Wang Z (2019) Information provision and pricing in presence of consumer search costs. Production Oper. Management 28(7):1603–1620.Crossref, Google Scholar
• Moraga-González JL, Sándor Z, Wildenbeest MR (2013) Semi-nonparametric estimation of consumer search costs. J. Appl. Econom. 28(7):1205–1223.Crossref, Google Scholar
• Moraga-González JL, Sándor Z, Wildenbeest MR (2017a) Nonsequential search equilibrium with search cost heterogeneity. Internat. J. Indust. Organ. 50:392–414.Crossref, Google Scholar
• Moraga-González JL, Sándor Z, Wildenbeest MR (2017b) Prices and heterogeneous search costs. RAND J. Econom. 48(1):125–146.Crossref, Google Scholar
• Mueller-Frank M, Pai MM (2016) Social learning with costly search. Amer. Econom. J. Microeconomics 8(1):83–109.Crossref, Google Scholar
• Papanastasiou Y (2020) Fake news propagation and detection: A sequential model. Management Sci. 66(5):1826–1846.Link, Google Scholar
• Papanastasiou Y, Savva N (2016) Dynamic pricing in the presence of social learning and strategic consumers. Management Sci. 63(4):919–939.Link, Google Scholar
• Sorensen AT (2007) Bestseller lists and product variety. J. Indust. Econom. 55(4):715–738.Crossref, Google Scholar
• Ursu RM (2018) The power of rankings: Quantifying the effect of rankings on online consumer search and purchase decisions. Marketing Sci. 37(4):530–552.Link, Google Scholar
• Wang J, Hu M (2020) Efficient inaccuracy: User-generated information sharing in a queue. Management Sci. 66(10):4648–4666.Link, Google Scholar
• Wilson H, Macdonald E, Baxendale S (2015) What really makes consumers buy a product. Harvard Bus. Rev. (November 9), https://hbr.org/2015/11/what-really-makes-customers-buy-a-product.Google Scholar
• Yu M, Debo L, Kapuscinski R (2016) Strategic waiting for consumer-generated quality information: Dynamic pricing of new experience goods. Management Sci. 62(2):410–435.Link, Google Scholar