Crowd-Driven Competitive Intelligence: Understanding the Relationship Between Local Market Competition and Online Rating Distributions

References

• Allison PD (2005) Fixed Effects Regression Methods for Longitudinal Data (SAS Institute, Cary, NC).Google Scholar
• Anderson M, Magruder J (2012) Learning from the crowd: Regression discontinuity estimates of the effects of an online review database. Econom. J. (London) 122(563):957–989.Google Scholar
• Berry S, Waldfogel J (2010) Product quality and market size. J. Indust. Econom. 58(1):1–31.Crossref, Google Scholar
• Besbes O, Scarsini M (2018) On information distortions in online ratings. Oper. Res. 66(3):597–610.Link, Google Scholar
• Bresnahan TF, Reiss PC (1991) Entry and competition in concentrated markets. J. Political Econom. 99(5):977–1009.Crossref, Google Scholar
• Brynjolfsson E, Hu YJ, Rahman MS (2009) Battle of the retail channels: How product selection and geography drive cross-channel competition. Management Sci. 55(11):1755–1765.Link, Google Scholar
• Butler AW, Cornaggia J (2011) Does access to external finance improve productivity? Evidence from a natural experiment. J. Financial Econom. 99(1):184–203.Crossref, Google Scholar
• Chen H, Chiang RHL, Storey VC (2012) Business intelligence and analytics: From big data to big impact. Management Inform. Systems Quart. 36(4):1165–1188.Crossref, Google Scholar
• Chevalier JA (1995) Capital structure and product-market competition: Empirical evidence from the supermarket industry. Amer. Econom. Rev. 85(3):415–435.Google Scholar
• Cohen A, Mazzeo MJ (2010) Investment strategies and market structure: an empirical analysis of bank branching decisions. J. Financial Service Res. 38(1):1–21.Crossref, Google Scholar
• Collard-Wexler A (2006) Isolated town data. Retrieved October 9, 2017, http://pages.stern.nyu.edu/∼acollard/Data.html.Google Scholar
• Dai W, Jin GZ, Lee J, Luca M (2017) Optimal aggregation of consumer ratings: An application to Yelp.com. Quant. Marketing Econom. Forthcoming.Google Scholar
• Dellarocas C (2003) The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management Sci. 49(10):1407–1424.Link, Google Scholar
• Dick AA (2007) Market size, service quality, and competition in banking. J. Money, Credit and Banking 39(1):49–81.Google Scholar
• Fernandes D (2016) Could Yelp indicate whether your business deserves a loan? Retrieved December 3, 2017, https://www.bostonglobe.com/business/2016/09/04/could-yelp-indicate-whether-your-business-deserves-loan/Bal1Oo5c1yJTVkamdREgGL/story.html.Google Scholar
• Forman C, Ghose A, Wiesenfeld B (2008) Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets. Inform. Systems Res. 19(3):291–313.Link, Google Scholar
• Glaeser EL, Kim H, Luca M (2017) Nowcasting the local economy: Using Yelp data to measure economic activity. Harvard Business School NOM Unit Working Paper 18-022, Harvard University, Boston.Google Scholar
• Guiso L, Sapienza P, Zingales L (2004) Does local financial development matter? Quart. J. Econom. 119(3):929–969.Crossref, Google Scholar
• Hotelling H (1929) Stability in competition. Econom. J. (London) 39(153):41–57.Crossref, Google Scholar
• Huizinga D (2015) Could great social media ratings make a better loan? Retrieved October 10, 2017, http://www.bankingexchange.com/blogs-3/unconventional-wisdom/item/5831-could-great-yelp-ratings-make-a-better-loan.Google Scholar
• Kovács B, Carroll GR, Lehman DW (2014) Authenticity and consumer value ratings: Empirical tests from the restaurant domain. Organ. Sci. 25(2):458–478.Link, Google Scholar
• Li X, Hitt LM (2008) Self-selection and information role of online product reviews. Inform. Systems Res. 19(4):456–474.Link, Google Scholar
• Luca M, Zervas G (2016) Fake it till you make it: Reputation, competition, and Yelp review fraud. Management Sci. 62(12):3412–3427.Link, Google Scholar
• Lu X, Ba S, Huang L, Feng Y (2013) Promotional marketing or word-of-mouth? Evidence from online restaurant reviews. Inform. Systems Res. 24(3):596–612.Link, Google Scholar
• Madansky A (1988) Prescriptions for Working Statisticians (Springer, New York).Crossref, Google Scholar
• Mayzlin D, Dover Y, Chevalier JA (2014) Promotional reviews: An empirical investigation of online review manipulation. Amer. Econom. Rev. 104(8):2421–2455.Crossref, Google Scholar
• Mukherjee A, Venkataraman V, Liu B, Glance N (2013) What Yelp fake review filter might be doing? Proc. 7th Internat. AAAI Conf. Weblogs Soc. Media (AAAI Press, Palo Alto, CA), 409–418.Google Scholar
• Neven D, Thisse J-F (1989) On quality and variety competition. Core Discussion Paper 8920, Center for Operations Research and Economics, Universite Catholique de Louvain, Lovain-la-Neuve, Belgium.Google Scholar
• Olivares M, Cachon GP (2009) Competing retailers and inventory: An empirical investigation of General Motors’ dealerships in isolated U.S. markets. Management Sci. 55(9):1586–1604.Link, Google Scholar
• Shaked A, Sutton J (1987) Product differentiation and industrial structure. J. Indust. Econom. 36(2):131–146.Crossref, Google Scholar
• Stock JH, Yogo M (2005) Testing for weak instruments in linear IV regression. Andrews DW, Stock JH, eds. Identification and Inference for Econometric Models: Essays in Honor of Thomas J. Rothenburg (Cambridge University Press, New York), 80–108.Crossref, Google Scholar
• Wang T, Wezel FC, Forgues B (2016) Protecting market identity: When and how do organizations respond to consumers’ devaluations? Acad. Management J. 59(1):135–162.Crossref, Google Scholar
• Wooldridge JM (2010) Economic Analysis of Cross Section and Panel Data, 2nd ed. (MIT Press, Cambridge, MA).Google Scholar
• Yahoo Finance (2018) Yelp Inc. Retrieved April 27, 2018, https://finance.yahoo.com/quote/YELP/key-statistics?p=YELP.Google Scholar
• Yelp (2017) Yelp data can help measure local economic activity. Retrieved October 12, 2018, https://www.yelpblog.com/2017/09/yelp-data-can-help-measure-local-economic-activity.Google Scholar
• Zeithammer R, Thomadsen R (2013) Vertical differentiation with variety-seeking consumers. Management Sci. 59(2):390–401.Link, Google Scholar