Firms use social media as a great marketing tool and a convenient platform to deliver customer service. However, due to its public and social nature, social media tends to amplify a brand's successes as well as failures. Reluctant to subject their customer service to public scrutiny, firms are increasingly turning to private messaging on their social media channels for customer service conversations, which amounts to a reincarnation of traditional customer service in the social media era. Nonetheless, whether customers are willing to relinquish their newfound power is unclear. In this paper, we analyze a natural experiment where the inconvenience of the private channel with the treated firm is suddenly eliminated, and we find evidence that customers prefer to complain through the public channel. A randomized survey experiment further confirms this insight. Overall, firms’ and customers’ diverging preferences toward public or private channel reveal a hidden tug-of-war between the traditional mode of customer service featuring firm control and the recently emerged mode of customer service featuring shared control. These findings have important implications for firms’ customer service operations.
AbadieADiamondAHainmuellerJ (2010) Synthetic control methods for comparative case studies: estimating the effect of California’s tobacco control program. Journal of the American Statistical Association105(490): 493–505.
2.
AksinZArmonyMMehrotraV (2007) The modern call center: a multi-disciplinary perspective on operations management research. Production and Operations Management16(6): 665–688.
3.
AndersonSWBaggettLSWidenerSK (2009) The impact of service operations failures on customer satisfaction: evidence on how failures and their source affect what matters to customers. Manufacturing & Service Operations Management11(1): 52–69.
4.
BalajiMSJhaSRoyneMB (2015) Customer e-complaining behaviours using social media. The Service Industries Journal35(11–12): 633–654.
5.
BayusBL (2013) Crowdsourcing new product ideas over time: an analysis of the dell IdeaStorm community. Management Science59(1): 226–244.
6.
BerryRTanfordSMontgomeryR, et al. (2018) How we complain: the effect of personality on consumer complaint channels. Journal of Hospitality & Tourism Research42(1): 74–101.
7.
BlodgettJGWakefieldKLBarnesJH (1995) The effects of customer service on consumer complaining behavior. Journal of Services Marketing9(4): 31–42.
8.
BolfingCP (1989) How do customers express dissatisfaction and what can service marketers do about it?Journal of Services Marketing3(2): 5–23.
9.
BreitsohlJKhammashMGriffithsG (2014) Online complaint communication strategy: An integrated management framework for e-businesses. In: Handbook of Strategic e-Business Management. Berlin, Heidelberg: Springer, 907–933.
10.
ChanHKWangXLackaE, et al. (2016) A mixed-method approach to extracting the value of social media data. Production and Operations Management25(3): 568–583.
11.
ChenWGuBYeQ, et al. (2019) Measuring and managing the externality of managerial responses to online customer reviews. Information Systems Research30(1): 81–96.
12.
ChevalierJADoverYMayzlinD (2018) Channels of impact: user reviews when quality is dynamic and managers respond. Marketing Science37(5): 688–709.
13.
CraigheadCWKarwanKRMillerJL (2004) The effects of severity of failure and customer loyalty on service recovery strategies. Production and Operations Management13(4): 307–321.
14.
CuiRGallinoSMorenoA, et al. (2018) The operational value of social media information. Production and Operations Management27(10): 1749–1769.
15.
DayRLLandonEL (1977) Toward a theory of consumer complaining behavior. Consumer and Industrial Buying Behavior95(1): 425–437.
16.
DeutschM (1985) Distributive Justice: A Social-Psychological Perspective. New Haven, Conn.: Yale University Press.
17.
DeviYGangulyK (2021) Social media in operations and supply chain management: a systematic literature review to explore the future. Operations and Supply Chain Management: An International Journal14(2): 232–248.
18.
DinevTHartP (2006) An extended privacy Calculus model for E-commerce transactions. Information Systems Research17(1): 61–80.
19.
FornellC (1976) Consumer Input for Marketing Decisions: A Study of Corporate Departments for Consumer Affairs. New York: Praeger Publishers.
20.
FroehleCMRothAV (2004) New measurement scales for evaluating perceptions of the technology-mediated customer service experience. Journal of Operations Management22(1): 1–21.
21.
GansNKooleGMandelbaumA (2003) Telephone call centers: tutorial, review, and research prospects. Manufacturing & Service Operations Management5(2): 79–141.
22.
GaoYRuiHSunS (2023) The power of identity cues in text-based customer service: evidence from Twitter. MIS Quarterly47(3): 983–1014.
23.
GohKYHengCSLinZ (2013) Social media brand community and consumer behavior: quantifying the relative impact of user-and marketer-generated content. Information Systems Research24(1): 88–107.
24.
GolmohammadiAHavakhorTGauriDK, et al. (2021) Complaint publicization in social media. Journal of Marketing85(6): 1–23.
25.
GrégoireYSalleATrippTM (2015) Managing social media crises with your customers: the good, the bad, and the ugly. Business Horizons58(2): 173–182.
26.
GrégoireYTrippTMLegouxR (2009) When customer love turns into lasting hate: the effects of relationship strength and time on customer revenge and avoidance. Journal of Marketing73(6): 18–32.
27.
GuBYeQ (2014) First step in social media: measuring the influence of online management responses on customer satisfaction. Production and Operations Management23(4): 570–582.
28.
GunarathnePRuiHSeidmannA (2017) Whose and what social media complaints have happier resolutions? Evidence from twitter. Journal of Management Information Systems34(2): 314–340.
29.
GunarathnePRuiHSeidmannA (2018) When social media delivers customer service: differential customer treatment in the airline industry. MIS Quarterly42(2): 489–520.
30.
GunarathnePRuiHSeidmannA (2022) Racial bias in customer service: evidence from twitter. Information Systems Research33(1): 43–54.
31.
Harrison-WalkerLJ (2001) The measurement of word-of-mouth communication and an investigation of service quality and customer commitment as potential antecedents. Journal of Service Research4(1): 60–75.
32.
HeSRuiHWhinstonAB (2018) Social media strategies in product-harm crises. Information Systems Research29(2): 362–380.
33.
HirschmanAO (1970) Exit, Voice, and Loyalty: Responses to Decline in Firms, Organizations, and States (Vol. 25). Cambridge, MA: Harvard University Press.
34.
HotellingH (1990) Stability in Competition. In: DarnellA.C. (ed) The Collected Economics Articles of Harold Hotelling. New York, NY: Springer.
35.
HuYTaftiAGalD (2019) Read This, Please? The Role of Politeness in Customer Service Engagement on Social Media. Proceedings of the 52nd Annual Hawaii International Conference on System Sciences.
36.
HuangNBurtchGGuB, et al. (2019) Motivating user-generated content with performance feedback: evidence from randomized field experiments. Management Science65(1): 327–345.
37.
IlkNShangGGoesP (2020) Improving customer routing in contact centers: an automated triage design based on text analytics. Journal of Operations Management66(5): 553–577.
38.
KietzmannJCanhotoA (2013) Bittersweet! understanding and managing electronic word of mouth. Journal of Public Affairs13(2): 146–159.
39.
KumarSMookerjeeVShubhamA (2018) Research in operations management and information systems interface. Production and Operations Management27(11): 1893–1905.
40.
LapréMA (2011) Reducing customer dissatisfaction: how important is learning to reduce service failure?Production and Operations Management20(4): 491–507.
41.
LauRYKZhangWXuW (2018) Parallel aspect-oriented sentiment analysis for sales forecasting with big data. Production and Operations Management27(10): 1775–1794.
42.
LeeS-YQiuLWhinstonA (2018) Sentiment manipulation in online platforms: an analysis of movie tweets. Production and Operations Management27(3): 393–416.
43.
LeeS-YRuiHWhinstonAB (2019) Is best answer really the best answer? The politeness bias. MIS Quarterly43(2): 579–600.
44.
MattilaASWirtzJ (2004) Consumer complaining to firms: the determinants of channel choice. Journal of Services Marketing18(2): 47–155.
45.
MillerJLCraigheadCWKarwanKR (2000) Service recovery: a framework and empirical investigation. Journal of Operations Management18(4): 387–400.
46.
RothAVMenorLJ (2003) Insights into service operations management: a research agenda. Production and Operations Management12(2): 145–164.
47.
SchmidtCGWuttkeDABallGP, et al. (2020) Does social media elevate supply chain importance? An empirical examination of supply chain glitches, Twitter reactions, and stock market returns. Journal of Operations Management66(6): 646–669.
48.
SinghJ (1988) Consumer complaint intentions and behavior: definitional and taxonomical issues. Journal of Marketing52(1): 93–107.
49.
SisselmanMEWhittW (2007) Value-Based routing and preference-based routing in customer contact centers. Production and Operations Management16(3): 277–291.
50.
StephensNKevinPG (1998) Why don’t some people complain? A cognitive-emotive process model of consumer complaint behavior. Journal of the Academy of Marketing Science26(3): 172–189.
51.
SunHChenJFanM (2021a) Effect of live chat on traffic-to-sales conversion: evidence from an online marketplace. Production and Operations Management30(5): 1201–1219.
52.
SunSGaoYRuiH (2021b) Does active service intervention drive more complaints on social media? The roles of service quality and awareness. Journal of Management Information Systems38(3): 579–611.
53.
WallaceRBWhittW (2005) A staffing algorithm for call centers with skill-based routing. Manufacturing & Service Operations Management7(4): 276–294.
54.
WangYChaudhryA (2018) When and how managers’ responses to online reviews affect subsequent reviews. Journal of Marketing Research55(2): 163–177.
55.
WangYYGuoCSusarlaA, et al. (2021) Online to offline: the impact of social Media on offline sales in the automobile industry. Information Systems Research32(2): 582–604.
56.
WardJCOstromAL (2006) Complaining to the masses: the role of protest framing in customer-created complaint web sites. Journal of Consumer Research33(2): 220–230.
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