How Do Product Recommendations Help Consumers Search? Evidence from a Field Experiment

References

• Abdollahpouri H, Adomavicius G, Burke R, Guy I, Jannach D, Kamishima T, Krasnodebski J, Pizzato L (2020) Multistakeholder recommendation: Survey and research directions. User Model. User-Adapted Interaction 30(1):127–158.Crossref, Google Scholar
• Adomavicius G, Bockstedt J, Curley S, Zhang J (2019) Reducing recommender systems biases: An investigation of rating display designs. MIS Quart. 43(4):1321–1341.Crossref, Google Scholar
• Ali A, Zhang W (2015) CEO tenure and earnings management. J. Accounting Econom. 59(1):60–79.Crossref, Google Scholar
• Arnold A (2018) How GDPR will impact content recommendation engines. Forbes (May 7), https://www.forbes.com/sites/andrewarnold/2018/05/07/how-gdpr-and-changing-legislation-will-impact-digital-advertising/?sh=1b6c68892450.Google Scholar
• Basu S, Fernald JG, Kimball MS (2006) Are technology improvements contractionary? Amer. Econom. Rev. 96(5):1418–1448.Crossref, Google Scholar
• Bleier A, Eisenbeiss M (2015) Personalized online advertising effectiveness: The interplay of what, when, and where. Marketing Sci. 34(5):669–688.Link, Google Scholar
• Bound J, Jaeger DA, Baker RM (1995) Problems with instrumental variables estimation when the correlation between the instruments and the endogenous explanatory variable is weak. J. Amer. Statist. Assoc. 90(430):443–450.Google Scholar
• Brynjolfsson E, Rock D, Syverson C (2021) The productivity J-curve: How intangibles complement general purpose technologies. Amer. Econom. J. Macroeconom. 13(1):333–372.Crossref, Google Scholar
• Burtch G, Ghose A, Wattal S (2013) An empirical examination of the antecedents and consequences of contribution patterns in crowd-funded markets. Inform. Systems Res. 24(3):499–519.Link, Google Scholar
• Chapelle O, Zhang Y (2009) A dynamic Bayesian network click model for web search ranking. Proc. 18th Internat. Conf. World Wide Web (Association for Computing Machinery, New York), 1–10.Google Scholar
• Chen Y, Yao S (2017) Sequential search with refinement: Model and application with click-stream data. Management Sci. 63(12):4345–4365.Link, Google Scholar
• De P, Hu Y, Rahman MS (2010) Technology usage and online sales: An empirical study. Management Sci. 56(11):1930–1945.Link, Google Scholar
• Dellaert BG, Häubl G (2012) Searching in choice mode: Consumer decision processes in product search with recommendations. J. Marketing Res. 49(2):277–288.Crossref, Google Scholar
• Dinkelman T (2011) The effects of rural electrification on employment: New evidence from South Africa. Amer. Econom. Rev. 101(7):3078–3108.Crossref, Google Scholar
• Dou Y, Hope OK, Thomas WB (2013) Relationship-specificity, contract enforceability, and income smoothing. Accounting Rev. 88(5):1629–1656.Crossref, Google Scholar
• Droesch B (2021) US ecommerce by category 2021. Accessed June 6, 2022, https://www.emarketer.com/content/us-ecommerce-by-category-2021.Google Scholar
• Ghose A, Ipeirotis PG, Li B (2012) Designing ranking systems for hotels on travel search engines by mining user-generated and crowdsourced content. Marketing Sci. 31(3):493–520.Link, Google Scholar
• Ghose A, Ipeirotis PG, Li B (2019) Modeling consumer footprints on search engines: An interplay with social media. Management Sci. 65(3):1363–1385.Link, Google Scholar
• Goldenberg J, Oestreicher-Singer G, Reichman S (2012) The quest for content: How user-generated links can facilitate online exploration. J. Marketing Res. 49(4):452–468.Crossref, Google Scholar
• Hadi AS, Chatterjee S (2015) Regression Analysis by Example (John Wiley & Sons, Hoboken, NJ).Google Scholar
• Honka E (2014) Quantifying search and switching costs in the US auto insurance industry. RAND J. Econom. 45(4):847–884.Crossref, Google Scholar
• Jiang C, Duan R, Jain HK, Liu S, Liang K (2015) Hybrid collaborative filtering for high-involvement products: A solution to opinion sparsity and dynamics. Decision Support Systems 79:195–208.Crossref, Google Scholar
• Jones JJ (1991) Earnings management during import relief investigations. J. Accounting Res. 29(2):193–228.Crossref, Google Scholar
• Jorgenson DW, Stiroh KJ (1999) Information technology and growth. Amer. Econom. Rev. 89(2):109–115.Crossref, Google Scholar
• Kim K, Mauldin E, Patro S (2014) Outside directors and board advising and monitoring performance. J. Accounting Econom. 57(2–3):110–131.Crossref, Google Scholar
• Kumar A, Hosanagar K (2019) Measuring the value of recommendation links on product demand. Inform. Systems Res. 30(3):819–838.Link, Google Scholar
• Kumar A, Tan Y (2015) The demand effects of joint product advertising in online videos. Management Sci. 61(8):1921–1937.Link, Google Scholar
• Kwark Y, Chen J, Raghunathan S (2017) Platform or wholesale? A strategic tool for online retailers to benefit from third-party information. MIS Quart. 41(3):763–785.Crossref, Google Scholar
• Lambrecht A, Tucker C (2013) When does retargeting work? Information specificity in online advertising. J. Marketing Res. 50(5):561–576.Crossref, Google Scholar
• Lee D, Hosanagar K (2019) How do recommender systems affect sales diversity? A cross-category investigation via randomized field experiment. Inform. Systems Res. 30(1):239–259.Link, Google Scholar
• Lee D, Hosanagar K (2021) How do product attributes moderate the impact of recommender systems? Management Sci. 67(1):524–546.Link, Google Scholar
• Li X, Grahl J, Hinz O (2022) How do recommender systems lead to consumer purchases? A causal mediation analysis of a field experiment. Inform. Systems Res. 33(2):620–637.Link, Google Scholar
• Lin Z, Goh KY, Heng CS (2017) The demand effects of product recommendation networks: An empirical analysis of network diversity and stability. MIS Quart. 41(2):397–426.Crossref, Google Scholar
• Linden G, Smith B, York J (2003) Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Comput. 7(1):76–80.Crossref, Google Scholar
• Ngwe D, Ferreira KJ, Teixeira T (2019) The impact of increasing search frictions on online shopping behavior: Evidence from a field experiment. J. Marketing Res. 56(6):944–959.Crossref, Google Scholar
• Oestreicher-Singer G, Sundararajan A (2012) The visible hand? Demand effects of recommendation networks in electronic markets. Management Sci. 58(11):1963–1981.Link, Google Scholar
• Peng J, Liang C (2023) On the differences between view-based and purchase-based recommender systems. MIS Quart. 47(2):875–900.Google Scholar
• Ratchford BT, Srinivasan N (1993) An empirical investigation of returns to search. Marketing Sci. 12(1):73–87.Link, Google Scholar
• Reinganum JF (1982) Strategic search theory. Internat. Econom. Rev. 23(1):1–17.Crossref, Google Scholar
• Sarwar BM, Karypis G, Konstan JA, Riedl J (2001) Item-based collaborative filtering recommendation algorithms. Proc. 10th Internat. Conf. World Wide Web (Association for Computing Machinery, New York), 285–295.Google Scholar
• Seiler S, Pinna F (2017) Estimating search benefits from path-tracking data: Measurement and determinants. Marketing Sci. 36(4):565–589.Link, Google Scholar
• Shi Z, Raghu TS (2020) An economic analysis of product recommendation in the presence of quality and taste-match heterogeneity. Inform. Systems Res. 31(2):399–411.Google Scholar
• Singh PV, Sahoo N, Mukhopadhyay T (2014) How to attract and retain readers in enterprise blogging? Inform. Systems Res. 25(1):35–52.Link, Google Scholar
• Solow RM (1956) A contribution to the theory of economic growth. Quart. J. Econom. 70(1):65–94.Crossref, Google Scholar
• Solow RM (1957) Technical change and the aggregate production function. Rev. Econom. Stat. 39(3):312–320.Crossref, Google Scholar
• Sutton J (1986) Vertical product differentiation: Some basic themes. Amer. Econom. Rev. 76(2):393–398.Google Scholar
• Thorat PB, Goudar R, Barve S (2015) Survey on collaborative filtering, content-based filtering and hybrid recommendation system. Internat. J. Comput. Appl. 110(4):31–36.Google Scholar
• Ursu RM, Wang Q, Chintagunta PK (2020) Search duration. Marketing Sci. 39(5):849–871.Link, Google Scholar
• Wan X, Kumar A, Li X (2023) Retargeted versus generic product recommendations: When is it valuable to present retargeted recommendations? Inform. Systems Res. Forthcoming.Google Scholar
• Weitzman ML (1979) Optimal search for the best alternative. Econometrica 47(3):641–654.Crossref, Google Scholar
• Zhang X, Ferreira P, Godinho de Matos M, Belo R (2021) Welfare properties of profit maximizing recommender systems: Theory and results from a randomized experiment. MIS Quart. 45(1):1–43.Crossref, Google Scholar