Call Me Maybe: Does Customer Feedback Seeking Impact Nonsolicited Customers?

Published Online:https://doi.org/10.1287/mksc.2023.0324

References

  • Alibhai S, Bell S, Conner G (2017) What’s happening in the missing middle? Lessons from financing SMEs. Working paper, World Bank, Washington, DC.Google Scholar
  • Ananthakrishnan U, Proserpio D, Sharma S (2023) I hear you: Does quality improve with customer voice? Marketing Sci. 42(6):1143–1161.LinkGoogle Scholar
  • Anderson SJ, McKenzie D (2022) Improving business practices and the boundary of the entrepreneur: A randomized experiment comparing training, consulting, insourcing, and outsourcing. J. Political Econom. 130(1):157–209.CrossrefGoogle Scholar
  • Anderson SJ, Chandy R, Zia B (2018) Pathways to profits: The impact of marketing vs. finance skills on business performance. Management Sci. 64(12):5559–5583.LinkGoogle Scholar
  • Anderson SJ, Chintagunta P, Vilcassim N (2023) Virtual collaboration technology and international business coaching: Examining the impact on marketing strategies and sales. Marketing Sci. 43(3):637–672.LinkGoogle Scholar
  • Anderson EW, Fornell C, Lehmann DR (1994) Customer satisfaction, market share, and profitability: Findings from Sweden. J. Marketing 58(3):53–66.CrossrefGoogle Scholar
  • Anderson EW, Fornell C, Rust RT (1997) Customer satisfaction, productivity, and profitability: Differences between goods and services. Marketing Sci. 16(2):129–145.LinkGoogle Scholar
  • Ashford SJ, De Stobbeleir K, Nujella M (2016) To seek or not to seek: Is that the only question? Recent developments in feedback-seeking literature. Annual Rev. Organ. Psych. Organ. Behav. 3:213–239.CrossrefGoogle Scholar
  • Athey S, Tibshirani J, Wager S (2019) Generalized random forests. Ann. Statist. 47(2):1148–1178.Google Scholar
  • Bai J (2021) Melons as lemons: Asymmetric information, consumer learning and seller reputation. CID Faculty Working Paper Series 2021.396, Harvard University, Cambridge, MA.Google Scholar
  • Banerjee AV, Duflo E (2005) Growth theory through the lens of development economics. Aghion P, Durlauf SN, eds. Handbook of Economic Growth, vol. 1A (Elsevier, Amsterdam), 473–552.Google Scholar
  • Berry LL, Parasuraman A (1997) Listening to the customer—The concept of a service-quality information system. MIT Sloan Management Rev. 38(3):65.Google Scholar
  • Bettman JR, Luce MF, Payne JW (1998) Constructive consumer choice processes. J. Consumer Res. 25(3):187–217.CrossrefGoogle Scholar
  • Bloom N, Van Reenen J (2010) Why do management practices differ across firms and countries? J. Econom. Perspect. 24(1):203–224.CrossrefGoogle Scholar
  • Bloom N, Eifert B, Mahajan A, McKenzie D, Roberts J (2013) Does management matter? Evidence from India. Quart. J. Econom. 128(1):1–51.CrossrefGoogle Scholar
  • Bolton RN, Lemon KN, Verhoef PC (2008) Expanding business-to-business customer relationships: Modeling the customer’s upgrade decision. J. Marketing 72(1):46–64.CrossrefGoogle Scholar
  • Bone SA, Lemon KN, Voorhees CM, Liljenquist KA, Fombelle PW, Detienne KB, Money RB (2017) “Mere measurement plus”: How solicitation of open-ended positive feedback influences customer purchase behavior. J. Marketing Res. 54(1):156–170.CrossrefGoogle Scholar
  • Bose S (2021) 97 percent of executives believe customer satisfaction key to success, survey finds. YouGov. Accessed May 2022, https://smallbiztrends.com/2016/10/the-importance-of-customer-feedback.html.Google Scholar
  • Bruhn M, Karlan D, Schoar A (2010) What capital is missing in developing countries? Amer. Econom. Rev. 100(2):629–633.CrossrefGoogle Scholar
  • Bruhn M, Karlan D, Schoar A (2018) The impact of consulting services on small and medium enterprises: Evidence from a randomized trial in Mexico. J. Political Econom. 126(2):635–687.CrossrefGoogle Scholar
  • Campbell BM (1969) The existence of evoked set and determinants of its magnitude in brand choice behavior. Unpublished PhD dissertation, Columbia University, New York.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.CrossrefGoogle Scholar
  • Cho J, Aribarg A, Manchanda P (2023) Can firms benefit from integrating high-frequency survey measures with objective service quality data? Internat. J. Res. Marketing 40(3):513–533.CrossrefGoogle Scholar
  • Cremer H, Thisse J-F (1991) Location models of horizontal differentiation: A special case of vertical differentiation models. J. Indust. Econom. 39(4):383–390.CrossrefGoogle Scholar
  • De Mel S, McKenzie D, Woodruff C (2008) Returns to capital in microenterprises: Evidence from a field experiment. Quart. J. Econom. 123(4):1329–1372.CrossrefGoogle Scholar
  • Donati D (2022) The end of tourist traps: A natural experiment on the impact of tripadvisor on quality upgrading. CESifo Working Paper No. 9834, University of Columbia, New York.Google Scholar
  • Drexler A, Fischer G, Schoar A (2014) Keeping it simple: Financial literacy and rules of thumb. Amer. Econom. J. Appl. Econom. 6(2):1–31.CrossrefGoogle Scholar
  • Farronato C, Zervas G (2022) Consumer reviews and regulation: Evidence from NYC restaurants. NBER Working Paper No. 29715, National Bureau of Economic Research, Cambridge, MA.Google Scholar
  • Fitzsimons GJ, Morwitz VG (1996) The effect of measuring intent on brand-level purchase behavior. J. Consumer Res. 23(1):1–11.CrossrefGoogle Scholar
  • Flynn AG, Salisbury LC, Seiders K (2017) Tell us again, how satisfied are you? The influence of recurring posttransaction surveys on purchase behavior. J. Service Res. 20(3):292–305.CrossrefGoogle Scholar
  • Fornell C, Westbrook RA (1984) The vicious circle of consumer complaints. J. Marketing 48(3):68–78.CrossrefGoogle Scholar
  • Godes D, Silva JC (2012) Sequential and temporal dynamics of online opinion. Marketing Sci. 31(3):448–473.LinkGoogle Scholar
  • Grewal R, Chandrashekaran M, Citrin AV (2010) Customer satisfaction heterogeneity and shareholder value. J. Marketing Res. 47(4):612–626.CrossrefGoogle Scholar
  • Griffin A, Hauser JR (1993) The voice of the customer. Marketing Sci. 12(1):1–27.LinkGoogle Scholar
  • Hastie T, Tibshirani R, Friedman JH (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd ed. (Springer Science & Business Media, New York).CrossrefGoogle Scholar
  • Hitsch GJ (2006) An empirical model of optimal dynamic product launch and exit under demand uncertainty. Marketing Sci. 25(1):25–50.LinkGoogle Scholar
  • Howard JA, Sheth JN (1969) The Theory of Buyer Behavior (John Willey & Sons, Hoboken, NJ), 145.Google Scholar
  • Hu N, Zhang J, Pavlou PA (2009) Overcoming the J-shaped distribution of product reviews. Comm. ACM 52(10):144–147.CrossrefGoogle Scholar
  • Huang Y, Ellickson PB, Lovett MJ (2022) Learning to set prices. J. Marketing Res. 59(2):411–434.CrossrefGoogle Scholar
  • Imai K, Keele L, Tingley D (2010) A general approach to causal mediation analysis. Psych. Methods 15(4):309–334.CrossrefGoogle Scholar
  • Krishnan V, Ulrich KT (2001) Product development decisions: A review of the literature. Management Sci. 47(1):1–21.LinkGoogle Scholar
  • Kumar V, Aksoy L, Donkers B, Venkatesan R, Wiesel T, Tillmanns S (2010) Undervalued or overvalued customers: Capturing total customer engagement value. J. Service Res. 13(3):297–310.CrossrefGoogle Scholar
  • Kyriakopoulos K, Moorman C (2004) Tradeoffs in marketing exploitation and exploration strategies: The overlooked role of market orientation. Internat. J. Res. Marketing 21(3):219–240.CrossrefGoogle Scholar
  • Luca M (2016) Reviews, reputation, and revenue: The case of Yelp.com. Working paper, Harvard Business School Negotiation, Organizations & Markets Unit, Cambridge, MA.Google Scholar
  • Lund DJ, Marinova D (2014) Managing revenue across retail channels: The interplay of service performance and direct marketing. J. Marketing 78(5):99–118.CrossrefGoogle Scholar
  • McKenzie D (2012) Beyond baseline and follow-up: The case for more T in experiments. J. Development Econom. 99(2):210–221.CrossrefGoogle Scholar
  • McKenzie D (2021) Small business training to improve management practices in developing countries: Re-assessing the evidence for ‘training doesn’t work’. Oxford Rev. Econom. Policy 37(2):276–301.Google Scholar
  • McKenzie D, Woodruff C (2014) What are we learning from business training and entrepreneurship evaluations around the developing world? World Bank Res. Observer 29(1):48–82.CrossrefGoogle Scholar
  • McKenzie D, Woodruff C (2017) Business practices in small firms in developing countries. Management Sci. 63(9):2967–2981.LinkGoogle Scholar
  • Mithas S, Krishnan MS, Fornell C (2005) Why do customer relationship management applications affect customer satisfaction? J. Marketing 69(4):201–209.CrossrefGoogle Scholar
  • Mittal V, Ross WT Jr, Baldasare PM (1998) The asymmetric impact of negative and positive attribute-level performance on overall satisfaction and repurchase intentions. J. Marketing 62(1):33–47.CrossrefGoogle Scholar
  • Morgan NA, Anderson EW, Mittal V (2005) Understanding firms’ customer satisfaction information usage. J. Marketing 69(3):131–151.CrossrefGoogle Scholar
  • Morrison EW, Bies RJ (1991) Impression management in the feedback-seeking process: A literature review and research agenda. Acad. Management Rev. 16(3):522–541.Google Scholar
  • Morwitz VG (2005) The effect of survey measurement on respondent behaviour. Appl. Stochastic Models Bus. Indust. 21(4–5):451–455.CrossrefGoogle Scholar
  • Morwitz VG, Johnson E, Schmittlein D (1993) Does measuring intent change behavior? J. Consumer Res. 20(1):46–61.CrossrefGoogle Scholar
  • Ofir C, Simonson I (2001) In search of negative customer feedback: The effect of expecting to evaluate on satisfaction evaluations. J. Marketing Res. 38(2):170–182.CrossrefGoogle Scholar
  • Parasuraman A, Berry LL, Zeithaml VA (1991) Understanding customer expectations of service. Sloan Management Rev. 32(3):39–48.Google Scholar
  • Roberts JH, Lattin JM (1991) Development and testing of a model of consideration set composition. J. Marketing Res. 28(4):429–440.CrossrefGoogle Scholar
  • Rust RT, Zahorik AJ (1993) Customer satisfaction, customer retention, and market share. J. Retailing 69(2):193–215.CrossrefGoogle Scholar
  • Sara SJ (2000) Retrieval and reconsolidation: Toward a neurobiology of remembering. Learn. Memory 7(2):73–84.CrossrefGoogle Scholar
  • Semenova V, Chernozhukov V (2021) Debiased machine learning of conditional average treatment effects and other causal functions. Econom. J. 24(2):264–289.CrossrefGoogle Scholar
  • Simonson I (1989) Choice based on reasons: The case of attraction and compromise effects. J. Consumer Res. 16(2):158–174.CrossrefGoogle Scholar
  • Sulek JM, Lind MR, Marucheck AS (1995) The impact of a customer service intervention and facility design on firm performance. Management Sci. 41(11):1763–1773.LinkGoogle Scholar
  • Tingley D, Yamamoto T, Hirose K, Keele L, Imai K (2014) Mediation: R package for causal mediation analysis. J. Statist. Software 59(5).Google Scholar
  • UNCTAD (2017) UNCTAD Handbook of Statistics 2017 (UN, New York).Google Scholar
  • Van Doorn J, Verhoef PC (2008) Critical incidents and the impact of satisfaction on customer share. J. Marketing 72(4):123–142.CrossrefGoogle Scholar
  • Wang Y, Chaudhry A, Pazgal A (2019) Do online reviews improve product quality? Evidence from hotel reviews on travel sites? Evidence from hotel reviews on travel sites. Preprint, submitted January 22, http://dx.doi.org/10.2139/ssrn.3238510.Google Scholar
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