Prescribing Response Strategies to Manage Customer Opinions: A Stochastic Differential Equation Approach

References

• Anderson CK (2012) The impact of social media on lodging performance. Cornell Hospitality Rep. 12(15):6–11.Google Scholar
• Anderson CK, Han S (2016) Hotel performance impact of socially engaging with consumers. Cornell Hospitality Rep. 16(10):3–9.Google Scholar
• Anderson ET, Simester DI (2014) Reviews without a purchase: Low ratings, loyal customers, and deception. J. Marketing Res. 51(3):249–269.Crossref, Google Scholar
• Anderson JC, Narus JA, Van Rossum W (2006) Customer value propositions in business markets. Harvard Bus. Rev. 84(3):1–8.Google Scholar
• Anderson M, Magruder J (2012) Learning from the crowd: Regression discontinuity estimates of the effects of an online review database. Econom. J. 122(563) 957–989.Google Scholar
• Banjo S (2012) Firms take online reviews to heart. Wall Street Journal (July 29), http://www.wsj.com/articles/SB10001424052702303292204577517394043189230?cb=logged0.448628765065223.Google Scholar
• Bazaarvoice (2013) The conversation index. Accessed December 11, 2018, http://media.dmnews.com/documents/55/conversation_index_vol_6_13511.pdf.Google Scholar
• Black F, Scholes M (1973) The pricing of options and corporate liabilities. J. Political Econom. 81(3):637–654.Crossref, Google Scholar
• Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J. Machine Learn. Res. 3(January):993–1022.Google Scholar
• Box GEP, Jenkins GM, Reinsel GC, Ljung GM (2015) Time Series Analysis: Forecasting and Control (John Wiley & Sons, Hoboken, NJ).Google Scholar
• BrightLocal (2015) Local consumer review survey. Accessed April 25, 2016, https://www.brightlocal.com/learn/local-consumer-review-survey/.Google Scholar
• Brown RG (2004) Smoothing, Forecasting and Prediction of Discrete Time Series (Prentice Hall, Englewood Cliffs, NJ).Google Scholar
• Cairns AJG (2004) Interest Rate Models: An Introduction (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Chevalier JA, Mayzlin D (2006) The effect of word of mouth on sales: Online book reviews. J. Marketing Res. 43(3):345–354.Crossref, Google Scholar
• Chevalier JA, Dover Y, Mayzlin D (2018) Channels of impact: User reviews when quality is dynamic and managers respond. Marketing Sci. 37(5):688–709.Link, Google Scholar
• Cox JC, Ingersoll JE, Ross SA (1985) A theory of the term structure of interest rates. Econometrica 53(2):385–407.Crossref, Google Scholar
• De Gooijer JG, Hyndman RJ (2006) 25 years of time series forecasting. Internat. J. Forecasting 22(3):443–473.Crossref, Google Scholar
• Dellarocas C (2006) Strategic manipulation of internet opinion forums: Implications for consumers and firms. Management Sci. 52(10):1577–1593.Link, Google Scholar
• DeMers J (2014) How one hotel ruined its reputation by penalizing negative reviews. Forbes (November 3), https://www.forbes.com/sites/jaysondemers/2014/11/03/how-one-hotel-ruined-its-reputation-by-penalizing-negative-reviews/#314785184806.Google Scholar
• Dixit AK, Pindyck RS, Pindyck RS (1994) Investment Under Uncertainty (Princeton University Press, Princeton, NJ).Crossref, Google Scholar
• Duan W, Gu B, Whinston AB (2008) The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry. J. Retailing 84(2):233–242.Crossref, Google Scholar
• Engle RF (1982) Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica 50(4):987–1007.Crossref, Google Scholar
• Feller W (1951) Two singular diffusion problems. Ann. Math. 54(1):173–182.Crossref, 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
• Fornell C, Wernerfelt B (1988) A model for customer complaint management. Marketing Sci. 7(3):287–298.Link, Google Scholar
• Gartner (2012) Gartner says by 2014, 10–15 percent of social media reviews to be fake, paid for by companies. Accessed October 6, 2015, http://www.gartner.com/newsroom/id/2161315.Google Scholar
• Gesenhues A (2013) Survey: 90% of customers say buying decisions are influenced by online reviews. Accessed October 6, 2015, https://marketingland.com/survey-customers-more-frustrated-by-how-long-it-takes-to-resolve-a-customer-service-issue-than-the-resolution-38756.Google Scholar
• Gu B, Ye Q (2014) First step in social media: Measuring the influence of online management responses on customer satisfaction. Production Oper. Management 23(4):570–582.Crossref, Google Scholar
• Gunarathne P, Rui H, Seidmann A (2018) When social media delivers customer service: Differential customer treatment in the airline industry. MIS Quart. 42(2):489–520.Crossref, Google Scholar
• Hazewinkel M, ed. (2002) Encyclopedia of Mathematics (Kluwer Academic, Boston).Google Scholar
• Ho YC, Wu J, Tan Y (2017) Disconfirmation effect on online rating behavior: A structural model. Inform. Systems Res. 28(3):626–642.Link, Google Scholar
• Hurst HE (1951) Long-term storage capacity of reservoirs. Trans. Amer. Soc. Civil Engrg. 116(1):770–799.Google Scholar
• Jabr W, Zheng Z (2014) Know yourself and know your enemy: An analysis of firm recommendations and consumer reviews in a competitive environment. MIS Quart. 38(3):635–654.Crossref, Google Scholar
• Keane MP (2010) Structural vs. atheoretic approaches to econometrics. J. Econometrics 156(1):3–20.Crossref, Google Scholar
• Kumar N, Qiu L, Kumar S (2019) Exit, voice, and response in digital platforms: An empirical investigation of online management response strategies. Inform. Systems Res. Forthcoming.Google Scholar
• Lee YJ, Xie K, Besharat A (2016) Management response to online WOM: Helpful or detrimental? Proc. Americas Conf. Inform. Systems, San Diego.Google Scholar
• Li L, Tadelis S, Zhou X (2016) Buying reputation as a signal of quality: Evidence from an online marketplace. NBER Working Paper No. 22584, National Bureau of Economic Research, Cambridge, MA.Crossref, 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 (2011) Reviews, reputation, and revenue: The case of Yelp.com. Working Paper (12–016), Harvard Business School NOM Unit, Boston.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
• Ma L, Sun B, Kekre S (2015) The squeaky wheel gets the grease—An empirical analysis of customer voice and firm intervention on Twitter. Marketing Sci. 34(5):627–645.Link, Google Scholar
• Manning CD, Raghavan P, Schutze H (2008) Scoring, term weighting, and the vector space model. Introduction to Information Retrieval (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
• Mayzlin D (2006) Promotional chat on the internet. Marketing Sci. 25(2):155–163.Link, Google Scholar
• Mayzlin D, Dover Y, Chevalier J (2014) Promotional reviews: An empirical investigation of online review manipulation. Amer. Econom. Rev. 104(8):2421–2455.Crossref, Google Scholar
• Medallia (2015) Responding to social media boosts a company’s bottom line, new research finds. Accessed November 13, 2017, https://www.medallia.com/press-release/responding-social-media-boosts-companys-bottom-line-new-research-finds/.Google Scholar
• Merchant KA (1982) The control function of management. Sloan Management Rev. 23(4):43–55.Google Scholar
• Moe WW, Schweidel DA (2012) Online product opinions: Incidence, evaluation, and evolution. Marketing Sci. 31(3):372–386.Link, Google Scholar
• Pavlou PA, Dimoka A (2006) The nature and role of feedback text comments in online marketplaces: Implications for trust building, price premiums, and seller differentiation. Inform. Systems Res. 17(4):392–414.Link, Google Scholar
• Poterba JM, Summers LH (1988) Mean reversion in stock prices: Evidence and implications. J. Financial Econom. 22(1):27–59.Crossref, Google Scholar
• Proserpio D, Zervas G (2017) Online reputation management: Estimating the impact of management responses on consumer reviews. Marketing Sci. 36(5):645–665.Link, Google Scholar
• Ross SM (2014) Introduction to Probability Models (Academic Press, Cambridge, MA).Google Scholar
• Rushe D (2013) Fake online reviews crackdown in New York sees 19 companies fined. The Guardian (September 23), https://www.theguardian.com/world/2013/sep/23/new-york-fake-online-reviews-yoghurt.Google Scholar
• Shreve SE (2004) Stochastic Calculus for Finance (Springer, New York).Google Scholar
• Theil H (1966) Applied Economic Forecasting (North Holland Publishing Company, Amsterdam).Google Scholar
• TripAdvisor (2012) Survey finds half of TripAdvisor users will not book a hotel that has no reviews. Accessed November 13, 2017, http://ir.tripadvisor.com/news-releases/news-release-details/survey-finds-half-tripadvisor-users-will-not-book-hotel-has-no.Google Scholar
• Wang Y, Chaudhry A (2018) When and how managers’ responses to online reviews affect subsequent reviews. J. Marketing Res. 55(2):163–177.Crossref, Google Scholar
• Ye S, Gao G, Viswanathan S (2014) Strategic behavior in online reputation systems: Evidence from revoking on ebay. MIS Quart. 38(4):1033–1056.Crossref, Google Scholar