Estimating and Exploiting the Impact of Photo Layout: A Structural Approach

References

• Amemiya T (1985) Advanced Econometrics, vol. 1 (Harvard University Press, Cambridge, MA).Google Scholar
• Aouad A, Farias VF, Levi R (2021) Assortment optimization under consider-then-choose choice models. Management Sci. 67(6):3368–3386.Google Scholar
• Ben-Akiva ME, Lerman SR, Lerman SR (1985) Discrete Choice Analysis: Theory and Application to Travel Demand, vol. 9 (MIT Press).Google Scholar
• Boada-Collado P, Martínez-de Albéniz V (2020) Estimating and optimizing the impact of inventory on consumer choices in a fashion retail setting. Manufacturing Service Oper. Management 22(3):582–597.Link, Google Scholar
• Cui R, Li J, Zhang DJ (2019) Reducing discrimination with reviews in the sharing economy: Evidence from field experiments on Airbnb. Management Sci. 66(3):1071–1094.Link, Google Scholar
• Datta R, Joshi D, Li J, Wang JZ (2006) Studying aesthetics in photographic images using a computational approach. Leonardis A, Bischof H, Pinz A, eds. Eur. Conf. Comput. Vision–ECCV 2006. Lecture Notes in Computer Science, vol. 3953 (Springer, Berlin, Heidelberg).Google Scholar
• Farias VF, Jagabathula S, Shah D (2013) A nonparametric approach to modeling choice with limited data. Management Sci. 59(2):305–322.Link, Google Scholar
• Farronato C, Fradkin A (2018) The welfare effects of peer entry in the accommodation market: The case of Airbnb. Technical report, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Feldman J, Zhang D, Liu X, Zhang N (2022) Customer choice models vs. machine learning: Finding optimal product displays on Alibaba. Oper. Res. 70(1):309–328.Google Scholar
• Fox JT (2007) Semiparametric estimation of multinomial discrete-choice models using a subset of choices. RAND J. Econom. 38(4):1002–1019.Crossref, Google Scholar
• Gorn GJ, Chattopadhyay A, Yi T, Dahl DW (1997) Effects of color as an executional cue in advertising: They’re in the shade. Management Sci. 43(10):1387–1400.Link, Google Scholar
• He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. Proc. IEEE Conf. Comput. Vision Pattern Recognition, 770–778.Google Scholar
• Jagabathula S, Mitrofanov D, Vulcano G (2019) Inferring consideration sets from sales transaction data. Preprint, submitted June 27, https://dx.doi.org/10.2139/ssrn.3410019.Google Scholar
• Kanoria Y, Saban D (2021) Facilitating the search for partners on matching platforms. Management Sci. 67(10):5990–6029.Link, Google Scholar
• Kök AG, Fisher ML (2007) Demand estimation and assortment optimization under substitution: Methodology and application. Oper. Res. 55(6):1001–1021.Link, Google Scholar
• Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. Adv. Neural Inform. Processing Systems, 1097–1105.Google Scholar
• Li J, Moreno A, Zhang D (2019) Agent pricing in the sharing economy: Evidence from Airbnb. Hu M, ed. Sharing Economy: Making Supply Meet Demand (chapter 20), Springer Series in Supply Chain Management, vol. 6 (Springer, Cham, Switzerland), 485–504.Google Scholar
• Mahajan S, Van Ryzin G (2001) Stocking retail assortments under dynamic consumer substitution. Oper. Res. 49(3):334–351.Link, Google Scholar
• Manski CF (1975) Maximum score estimation of the stochastic utility model of choice. J. Econometrics 3(3):205–228.Crossref, Google Scholar
• Martinez de Albeniz V (2017) The production department at Privalia. Case, IESE Business School, Barcelona, Spain.Google Scholar
• Martinez de Albeniz V, Valdivia A (2019) Measuring and exploiting the impact of exhibition scheduling on museum attendance. Manufacturing Service Oper. Management 21(4):761–779.Link, Google Scholar
• McFadden D (1978) Modeling the choice of residential location. Transportation Res. Rec. 673:72–77.Google Scholar
• Meyers-Levy J, Peracchio LA (1992) Getting an angle in advertising: The effect of camera angle on product evaluations. J. Marketing Res. 29(4):454–461.Crossref, Google Scholar
• Mikels JA, Fredrickson BL, Larkin GR, Lindberg CM, Maglio SJ, Reuter-Lorenz PA (2005) Emotional category data on images from the international affective picture system. Behav. Res. Methods 37(4):626–630.Crossref, Google Scholar
• Miller EG, Kahn BE (2005) Shades of meaning: The effect of color and flavor names on consumer choice. J. Consumer Res. 32(1):86–92.Crossref, Google Scholar
• Papke LE, Wooldridge JM (1996) Econometric methods for fractional response variables with an application to 401(k) plan participation rates. J. Appl. Econometrics 11(6):619–632.Crossref, Google Scholar
• Simonyan K, Zisserman A (2014) Very deep convolutional networks for large-scale image recognition. Preprint, submitted September 4, https://arxiv.org/abs/1409.1556.Google Scholar
• Snyder M, DeBono KG (1985) Appeals to image and claims about quality: Understanding the psychology of advertising. J. Personality Soc. Psych. 49(3):586–597.Crossref, Google Scholar
• Talluri K, Van Ryzin G (2004) Revenue management under a general discrete choice model of consumer behavior. Management Sci. 50(1):15–33.Link, Google Scholar
• Valdez P, Mehrabian A (1994) Effects of color on emotions. J. Experiment. Psych. General 123(4):394–409.Crossref, Google Scholar
• Vulcano G, Van Ryzin G, Chaar W (2010) Om practice—Choice-based revenue management: An empirical study of estimation and optimization. Manufacturing Service Oper. Management 12(3):371–392.Link, Google Scholar
• Wang R (2018) When prospect theory meets consumer choice models: Assortment and pricing management with reference prices. Manufacturing Service Oper. Management 20(3):583–600.Link, Google Scholar
• Zhang S, Lee D, Singh PV, Srinivasan K (2022) What makes a good image? Airbnb demand analytics leveraging interpretable image features. Management Sci. 68(8):5644–5666.Google Scholar
• Zhang S, Mehta N, Singh PV, Srinivasan K (2019) Can lower-quality images lead to greater demand on Airbnb? Working paper, Carnegie Mellon University, Pittsburgh, PA.Google Scholar