Exit, voice, and response on digital platforms: An empirical investigation of online management response strategies

Information Systems Research

Volumn 29, Issue 4, 2018, Pages 849-870

  Kumar, Naveen ^a   Qiu, Liangfei ^b   Kumar, Subodha ^c  

^a School of Business University of Washington Bothell   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

^c TEMPLE UNIVERSITY   (United States)

Author keywords

Digital platforms; Online management responses; Self selected responses; Spillover effect

Indexed keywords

INFORMATION SYSTEMS;

BUSINESS PERFORMANCE; DIGITAL PLATFORMS; EMPIRICAL INVESTIGATION; IDENTIFICATION STRATEGIES; ONLINE MANAGEMENT RESPONSES; RESPONSE STRATEGIES; SELF-SELECTED RESPONSES; SPILLOVER EFFECTS;

COMPETITION;

EID: 85053210969     PISSN: 10477047     EISSN: 15265536     Source Type: Journal    
DOI: 10.1287/ISRE.2017.0749     Document Type: Article

References (82)

1. Abadie A (2005) Semiparametric difference-in-differences estimators. Rev. Econom. Stud. 72(1):1-19
2. Acemoglu D, Johnson S, Robinson JA (2001) The colonial origins of comparative development: An empirical investigation. Amer. Econom. Rev. 91(5):1369-1401
3. Anderson EG Jr, Parker GG, Tan B (2013) Platform performance investment in the presence of network externalities. Inform. Systems Res. 25(1):152-172
4. Anderson ET, Simester D (2013) Advertising in a competitive market: The role of product standards, customer learning, and switching costs. J. Marketing Res. 50(4):489-504
5. Anderson ET, Simester DI (2014) Reviews without a purchase: Low ratings, loyal customers, and deception. J. Marketing Res. 51(3):249-269
6. 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
7. Angrist JD, Pischke JS (2008) Mostly Harmless Econometrics: An Empiricist's Companion (Princeton University Press, Princeton, NJ)
8. Auh S, Menguc B (2005) Balancing exploration and exploitation: The moderating role of competitive intensity. J. Bus. Res. 58(12): 1652-1661
9. Autor DH (2003) Outsourcing at will: The contribution of unjust dismissal doctrine to the growth of employment outsourcing. J. Labor Econom. 21(1):1-42
10. Bapna R, Umyarov A (2015) Do your online friends make you pay? A randomized field experiment on peer influence in online social networks. Management Sci. 61(8):1902-1920
11. Bapna R, Ramaprasad J, Umyarov A (2018) Monetizing freemium communities: Does paying for premium increase social engagement? MIS Quart. 42(3):719-735
12. Borah A, Tellis GJ (2016) Halo (spillover) effects in social media: Do product recalls of one brand hurt or help rival brands? J. Marketing Res. 53(2):143-160
13. Brown GK, Mergoupis T (2010) Treatment interactions with nonexperimental data in Stata. Stata J. 11(4):545-555
14. Cameron AC, Trivedi PK (2009) Microeconometrics Using Stata (Stata Press, College Station, TX)
15. CameronAC, Gelbach JB, Miller DL (2008) Bootstrap-based improvements for inference with clustered errors. Rev. Econom. Statist. 90(3):414-427
16. Chen H, De P, Hu YJ (2015) IT-enabled broadcasting in social media: An empirical study of artists' activities and music sales. Inform. Systems Res. 26(3):513-531
17. Chevalier JA, Mayzlin D (2006) The effect of word of mouth on sales: Online book reviews. J. Marketing Res. 43(3):345-354
18. Clemons EK (1991) Evaluation of strategic investments in information technology. Comm. ACM 34(1):22-36
19. De Vries L, Gensler S, Leeflang PS (2012) Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing. J. Interactive Marketing 26(2):83-91
20. Dranove D, Gron A, Mazzeo MJ (2003) Differentiation and competition in HMO markets. J. Indust. Econom. 51(4):433-454
21. Duncan G (2011) Survey: Negative online reviews change 80 pct of shoppers' minds. Digital Trends. Accessed July 18, 2016, http:// www.digitaltrends.com/social-media/survey-negative-online-reviews-change-80-pct-of-shoppers-minds
22. Duranton G, Morrow PM, Turner MA (2014) Roads and trade: Evidence from the U.S. Rev. Econom. Stud. 81(2):681-724
23. Elejalde-Ruiz A (2015) Survey says more than half of shoppers check online reviews. Chicago Tribune (June 2). Accessed July 18, 2016, http://www.chicagotribune.com/business/ct-mintel-online-reviews-0603-biz-20150602-story.html
24. Evans D, Oviatt J, Slaymaker J, Tapado C, Doherty P, Ball A, Saenz D, Wiley E (2012) An experimental study of how restaurantowners' responses to negative reviews affect readers' intention to visit. Four Peaks Rev. 2(1):1-13
25. Feldman JM, Lynch JG (1988) Self-generated validity and other effects of measurement on belief, attitude, intention, and behavior. J. Appl. Psych. 73(3):421-435
26. Forman C, Ghose A, Goldfarb A (2009) Competition between local and electronic markets: How the benefit of buying online depends on where you live. Management Sci. 55(1):47-57
27. Garg R, Smith MD, Telang R (2011) Measuring information diffusion in an online community. J. Management Inform. Systems 28(2): 11-38
28. Gatignon H, Xuereb JM (1997) Strategic orientation of the firm and new product performance. J. Marketing Res. 34(1):77-90
29. Gensler S, Völckner F, Liu-Thompkins Y, Wiertz C (2013) Managing brands in the social media environment. J. Interactive Marketing 27(4):242-256
30. Goes PB, Lin M, Au Yeung CM (2014) "Popularity Effect" in usergenerated content:Evidencefromonline product reviews. Inform. Systems Res. 25(2):222-238
31. Goh KY, Heng CS, Lin Z (2013) Social media brand community and consumer behavior: Quantifying the relative impact of user-and marketer-generated content. Inform. Systems Res. 24(1): 88-107
32. Goldfarb A, Xiao M (2011) Who thinks about the competition? Managerial ability and strategic entry in U.S. local telephone markets. Amer. Econom. Rev. 101(7):3130-3161
33. Greenwood BN, Wattal S (2017) Show me the way to go home: An empirical investigation of ride-sharing and alcohol related motor vehicle fatalities. MIS Quart. 41(1):163-187
34. 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
35. Hinckley D (2015) New study: Data reveals 67% of consumers are influenced by online reviews. MOZ. Accessed July 18, 2016, https://moz.com/blog/new-data-reveals-67-of-consumers-are-influenced-by-online-reviews
36. Hosanagar K, Fleder D, Lee D, Buja A (2014) Will the global village fracture into tribes? Recommender systems and their effects on consumer fragmentation. Management Sci. 60(4):805-823
37. Hu N, Zhang J, Pavlou PA (2009) Overcoming the J-shaped distribution of product reviews. Comm. ACM 52(10):144-147
38. Hu N, Bose I, Koh NS, Liu L (2012) Manipulation of online reviews: An analysis of ratings, readability, and sentiments. Decision Support Systems 52(3):674-684
39. Iacovou CL, Benbasat I, Dexter AS (1995) Electronic data interchange and small organizations: Adoption and impact of technology. MIS Quart. 19(4):465-485
40. Koenker R, Hallock K (2001) Quantile regression: An introduction. J. Econom. Perspect. 15(4):43-56
41. Lewis R, Nguyen D (2015) Display advertising's competitive spillovers to consumer search. Quant. Marketing Econom. 13(2): 93-115
42. Li X (2016) Could deal promotion improve merchants' online reputations? The moderating role of prior reviews. J. Management Inform. Systems 33(1):171-201
43. Li Z, Agarwal A (2017) Platform integration and demand spillovers in complementary markets: Evidence from Facebook's integration of Instagram. Management Sci. 63(10):3438-3458
44. Liu Y (2006)Word of mouth for movies: Its dynamics and impact on box office revenue. J. Marketing 70(3):74-89
45. Liu Z, Duan JA, Ter Hofstede F (2014) Marketing spillovers of location-based mobile services. Working paper, University of Texas at Austin, http://ssrn.com/abstract=2578335
46. Lowensohn J (2009)Yelp: Businessesmaypubliclyrespond to reviews. CNET (April 9). Accessed July 18, 2016, http://www.cnet.com/ news/yelp-businesses-may-publicly-respond-to-reviews/
47. Luca M, Zervas G (2016) Fake it till you make it: Reputation, competition, and Yelp review fraud. Management Sci. 62(12): 3412-3427
48. Mallett T, Sen A (2001) Does local competition impact interest rates charged on small business loans? Empirical evidence from Canada. Rev. Indust. Organ. 19(4):435-450
49. Malthouse EC, Haenlein M, Skiera B, Wege E, Zhang M (2013) Managing customer relationships in the social media era: Introducing the social CRM house. J. Interactive Marketing 27(4): 270-280
50. Mantena R, Sankaranarayanan R, Viswanathan S (2010) Platformbased information goods: The economics of exclusivity. Decision Support Systems 50(1):79-92
51. Mayzlin D (2006) Promotional chat on the Internet. Marketing Sci. 25(2):155-163
52. Mayzlin D, Dover Y, Chevalier J (2014) Promotional reviews: An empirical investigation of online review manipulation. Amer. Econom. Rev. 104(8):2421-2455
53. Menon K, Dubé, L (2000) Ensuring greater satisfaction by engineering salesperson response to customer emotions. J. Retailing 76(3):285-307
54. Mithas S, Krishnan MS (2009) From association to causation via a potential outcomes approach. Inform. Systems Res. 20(2): 295-313
55. Moretti E (2011) Social learning and peer effects in consumption: Evidence from movie sales. Rev. Econom. Stud. 78(1): 356-393
56. Mukherjee A, Kumar A, Liu B, Wang J, Hsu M, Castellanos M, Ghosh R (2013) Spotting opinion spammers using behavioral footprints. Proc. 19th ACMSIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 632-640
57. Naylor RW, Lamberton CP, West PM (2012) Beyond the "like" button: The impact of mere virtual presence on brand evaluations and purchase intentions in social media settings. J. Marketing 76(6):105-120
58. Pizzutti C, Fernandes D (2010) Effect of recovery efforts on consumer trust and loyalty in e-tail: A contingency model. Internat. J. Electronic Commerce 14(4):127-160
59. Qiu L, Tang Q, Whinston AB (2015) Two formulas for success in social media: Learning and network effects. J. Management Inform. Systems 32(4):78-108
60. Rafaeli A (1989) When clerks meet customers: A test of variables related to emotional expressions on the job. J. Appl. Psych. 74(3): 385-393
61. Reynolds FD, Wells WD (1977) Consumer Behavior (McGraw Hill, New York)
62. Rishika R, Kumar A, Janakiraman R, Bezawada R (2013) The effect of customers' social media participation on customer visit frequency and profitability: An empirical investigation. Inform. Systems Res. 24(1):108-127
63. Roehm ML, Tybout AM (2006) When will a brand scandal spill over, and how should competitors respond? J. Marketing Res. 43(3):366-373
64. Sahni NS (2016) Advertising spillovers: Evidence from online fieldexperiments and implications for returns on advertising. J. Marketing Res. 53(4):459-478
65. Shen W, Hu YJ, Rees J (2015) Competing for attention: An empirical study of online reviewers' strategic behaviors. MIS Quart. 39(3):683-696
66. Sherman E, Mathur A, Smith RB (1997) Store environment and consumer purchase behavior: Mediating role of consumer emotions. Psych. Marketing 14(4):361-378
67. Sorce P, Perotti V, Widrick S (2005) Attitude and age differences in online buying. Internat. J. Retail Distribution Management 33(2):122-132
68. Stock JH, Wright JH, Yogo M (2002) A survey of weak instruments and weak identification in generalized method of moments. J. Bus. Econom. Statist. 20(4):518-529
69. Thomas JB, Peters CO, Howell EG, Robbins K (2012) Social media and negative word of mouth: Strategies for handling unexpecting comments. Atlantic Marketing J. 1(2):Article 7
70. Tucker C, Zhang J (2011) How does popularity information affect choices? A field experiment. Management Sci. 57(5):828-842
71. Turner M (2016) An unlikely source predicted Chipotle's disastrous quarter, and it says a lot about the future of investing. Business Insider. Accessed July 18, 2016, http://www.businessinsider .com/foursquare-data-predicted-chipotle-results-2016-4
72. Van Alstyne MW, Parker GG, Choudary SP (2016a) Platform Revolution: How Networked Markets Are Transforming the Economy and How to Make Them Work For You (Norton, New York)
73. Van Alstyne MW, Parker GG, Choudary SP (2016b) 6 reasons platforms fail. Harvard Bus. Rev. (March 31), https://hbr.org/2016/ 03/6-reasons-platforms-fail
74. Walter E (2014) 40 eye-opening customer service quotes. Accessed August 11, 2016, http://www.blackcoffee.com/brand-related/ branding-quotes/675
75. Wang L, Gopal R, Shankar R, Pancras J (2015) On the brink: Predicting business failure with mobile location-based checkins. Decision Support Systems 76:3-13
76. Wang A, Zhang M, Hann IH (2018) Socially nudged: A quasi-experimental study of friends' social influence in online product ratings. Inform. Systems Res. 29(3):641-655
77. Xia L (2013) Effects of companies' responses to consumer criticism in social media. Internat. J. Electronic Commerce 17(4): 73-100
78. Ye Q, Gu B, Chen W (2010) Measuring the influence of managerial responses on subsequent online customer reviews-A natural experiment of two online travel agencies. Working paper, Harbin Institute of Technology, Harbin, China, https://ssrn .com/abstract=1639683
79. Yelp (2016) 10 things you should know about Yelp. Accessed July 18, 2016. http://www.yelp.com/about
80. Zahra SA (1993) Environment, corporate entrepreneurship, and financial performance: A taxonomic approach. J. Bus. Venturing 8(4):319-340
81. Zeithaml VA, Berry LL, Parasuraman A (1996) The behavioral consequences of service quality. J. Marketing 60(2):31-46
82. Zhang X, Zhu F (2011) Group size and incentives to contribute: A natural experiment at Chinese Wikipedia. Amer. Econom. Rev. 101(4):1601-1615