Does Social Media Accelerate Product Recalls? Evidence from the Pharmaceutical Industry
Published Online:28 Dec 2021https://doi.org/10.1287/isre.2021.1092
References
- (2018) Text analytics to support sense-making in social media: A language-action perspective. Management Inform. Systems Quart. 42(2):427–464.Crossref, Google Scholar
- (2019) Don’t mention it? Analyzing user-generated content signals for early adverse event warnings. Inform. Systems Res. 30(3):1007–1028.Link, Google Scholar
- (2000) Consumer response to negative publicity: The moderating role of commitment. J. Marketing Res. 37(2):203–214.Crossref, Google Scholar
- (2003) Adverse drug event monitoring at the Food and Drug Administration: Your report can make a difference. J. General Internal Medicine 18(1):57–60.Crossref, Google Scholar
- (2004) Merck estimates $2.5 B impact from pulling Vioxx plug. USA Today (September 30), http://usatoday30.usatoday.com/money/industries/health/drugs/2004-09-30-merck-cover_x.htm.Google Scholar
- (2018a) The decision to recall: A behavioral investigation in the medical device industry. J. Oper. Management 62(1):1–15.Crossref, Google Scholar
- (2018b) Product competition, managerial discretion, and manufacturing recalls in the US pharmaceutical industry. J. Oper. Management 58(6):59–72.Crossref, Google Scholar
- (2011) Identifying potential adverse effects using the web: A new approach to medical hypothesis generation. J. Biomedical Informatics 44(6):989–996.Crossref, Google Scholar
- (2010) Positive effects of negative publicity: When negative reviews increase sales. Marketing Sci. 29(5):815–827.Link, Google Scholar
- (2012) Sharing news articles using 140 characters: A diffusion analysis on Twitter. 2012 IEEE/ACM Internat. Conf. Adv. Soc. Networks Anal. Mining (IEEE, Istanbul, Turkey), 966–971.Google Scholar
- (2012) Toward large-scale twitter mining for drug-related adverse events. Yang C, Chen H, Wactlar H, Combi C, Tang X (chairs), eds. Proc. 2012 Internat. Workshop Smart Health Wellbeing (Association for Computing Machinery, Maui, HI), 25–32.Google Scholar
- (1990) The service encounter: Diagnosing favorable and unfavorable incidents. J. Marketing 54(1):71–84.Crossref, Google Scholar
- (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.Crossref, Google Scholar
- (2009) Does a firm’s product-recall strategy affect its financial value? An examination of strategic alternatives during product-harm crises. J. Marketing 73(6):214–226.Crossref, Google Scholar
- (2006) The effect of word of mouth on sales: Online book reviews. J. Marketing Res. 43(3):345–354.Crossref, Google Scholar
- (2016) The effects of publicity on demand: The case of anti-cholesterol drugs. Marketing Sci. 35(1):158–181.Link, Google Scholar
- (2009) Information, learning, and drug diffusion: The case of Cox-2 inhibitors. Quant. Marketing Econom. 7(4):399–443.Crossref, Google Scholar
- (2009) Social media use in the United States: Implications for health communication. J. Medical Internet Res. 11(4):e48.Crossref, Google Scholar
- (2008) Weathering product-harm crises. J. Acad. Marketing Sci. 36(2):262–270.Crossref, Google Scholar
- (2013) Rising from the ashes: How brands and categories can overcome product-harm crises. J. Marketing 77(2):58–77.Crossref, Google Scholar
- (2016) Mining brand perceptions from Twitter social networks. Marketing Sci. 35(3):343–362.Link, Google Scholar
- (2000) Impact of product-harm crises on brand equity: The moderating role of consumer expectations. J. Marketing Res. 37(2):215–226.Crossref, Google Scholar
- (2018) Bert: Pre-training of deep bidirectional transformers for language understanding. Preprint, submitted October 11, https://arxiv.org/abs/1810.04805.Google Scholar
- (2013) The anatomy of large Facebook cascades. Proc. Internat. AAAI Conf. Web Soc. Media, vol. 7 (Cambridge, MA), 145–154.Google Scholar
- (2017) Postmarket safety events among novel therapeutics approved by the US Food and Drug Administration between 2001 and 2010. JAMA 317(18):1854–1863.Crossref, Google Scholar
- (2011) Effectiveness of corporate responses to brand crises: The role of crisis type and response strategies. J. Bus. Res. 64(12):1281–1287.Crossref, Google Scholar
- (2000) Adverse drug reactions: Definitions, diagnosis, and management. Lancet 356(9237):1255–1259.Crossref, Google Scholar
- (2017) Does it pay to recall your product early? An empirical investigation in the automobile industry. J. Marketing 81(3):111–129.Crossref, Google Scholar
- (1998) Brand equity as a signaling phenomenon. J. Consumer Psych. 7(2):131–157.Crossref, Google Scholar
- (1980) Attention and weight in person perception: The impact of negative and extreme behavior. J. Personality Soc. Psych. 38(6):889–906.Crossref, Google Scholar
- (2012) A systematic review to evaluate the accuracy of electronic adverse drug event detection. J. Amer. Medical Informatics Assoc. 19(1):31–38.Crossref, Google Scholar
- (2014) Digital drug safety surveillance: Monitoring pharmaceutical products in Twitter. Drug Safety 37(5):343–350.Crossref, Google Scholar
- (2015) Should ad spending increase or decrease before a recall announcement? The marketing-finance interface in product-harm crisis management. J. Marketing 79(5):80–99.Crossref, Google Scholar
- (2014) Mining Twitter for adverse drug reaction mentions: A corpus and classification benchmark. Proc. Fourth Workshop Building Evaluating Resources Health Biomedical Text Processing, 1–8.Google Scholar
- (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.Link, Google Scholar
- (2017) Tweeting as a marketing tool: A field experiment in the TV industry. J. Marketing Res. 54(6):833–850.Crossref, Google Scholar
- (2015) Ranking adverse drug reactions with crowdsourcing. J. Medical Internet Res. 17(3):e80.Crossref, Google Scholar
- (2012) Econometric Analysis (Pearson Education India, London).Google Scholar
- (2019) How does the implementation of enterprise information systems affect a professional’s mobility? An empirical study. Inform. Systems Res. 30(2):563–594.Link, Google Scholar
- (2015) Managing social media crises with your customers: The good, the bad, and the ugly. Bus. Horizons 58(2):173–182.Crossref, Google Scholar
- (2009) When customer love turns into lasting hate: The effects of relationship strength and time on customer revenge and avoidance. J. Marketing 73(6):18–32.Crossref, Google Scholar
- (2017) Whose and what social media complaints have happier resolutions? Evidence from Twitter. J. Management Inform. Systems 34(2):314–340.Crossref, Google Scholar
- (2018) When social media delivers customer service: Differential customer treatment in the airline industry. Management Inform. Systems Quart. 42(2):489–520.Crossref, Google Scholar
- (2020) The importance of interactions between content characteristics and creator characteristics for studying virality in social media. Inform. Systems Res. 31(2):576–588.Link, Google Scholar
- (2016) Big data and adverse drug reaction detection. Clinical Pharmacology Therapeutics 99(3):268–270.Crossref, Google Scholar
- (2012) Novel data mining methodologies for adverse drug event discovery and analysis. Clinical Pharmacology Therapeutics 91(6):1010–1021.Crossref, Google Scholar
- (2009) Defining ‘signal’and its subtypes in pharmacovigilance based on a systematic review of previous definitions. Drug Safety 32(2):99–110.Crossref, Google Scholar
- (2004) The role of volition in organizational learning: The case of automotive product recalls. Management Sci. 50(11):1545–1560.Link, Google Scholar
- (2017) Social media strategies in product-harm crises. Inform. Systems Res. 29(2):362–380.Link, Google Scholar
- (1994) The tarnished image: Anticipating and minimizing the impact of negative publicity in health services organizations. J. Consumer Marketing 11(3):44–54.Crossref, Google Scholar
- (2011) Safety hazard and time to recall: The role of recall strategy, product defect type, and supply chain player in the U.S. toy industry. J. Oper. Management 29(7–8):766–777.Crossref, Google Scholar
- (2016) The role of social media and brand equity during a product recall crisis: A shareholder value perspective. Internat. J. Res. Marketing 33(1):59–77.Crossref, Google Scholar
- (2019a) Read this, please? The role of politeness in customer service engagement on social media. Proc. 52nd Hawaii Internat. Conf. System Sci. (Association for Information Systems, Grand Wailea, HI).Google Scholar
- (2019b) Generating business intelligence through social media analytics: Measuring brand personality with consumer-, employee-, and firm-generated content. J. Management Inform. Systems 36(3):893–930.Crossref, Google Scholar
- (1985) The impact of product recalls on the wealth of sellers. J. Political Econom. 93(3):512–536.Crossref, Google Scholar
- (2005) Survival analysis. Unpublished manuscript, Institute for Social and Economic Research, University of Essex, Colchester, UK.Google Scholar
- (2013) The impact of product recalls on future product reliability and future accidents: Evidence from the automobile industry. J. Marketing 77(2):41–57.Crossref, Google Scholar
- (2011) The Statistical Analysis of Failure Time Data (John Wiley & Sons, Hoboken, NJ).Google Scholar
- (2011) Understanding responses to contradictory information about products. Marketing Sci. 30(6):1098–1114.Link, Google Scholar
- (2018) Scheduling content on social media: Theory, evidence, and application. J. Marketing 82(6):89–108.Crossref, Google Scholar
- (1998) Incidence of adverse drug reactions in hospitalized patients: A meta-analysis of prospective studies. JAMA 279(15):1200–1205.Crossref, Google Scholar
- (2010) Toward internet-age pharmacovigilance: Extracting adverse drug reactions from user posts to health-related social networks. Proc. 2010 Workshop Biomedical Natural Language Processing (Association for Computational Linguistics, Uppsala, Sweden), 117–125.Google Scholar
- (2018) Advertising content and consumer engagement on social media: Evidence from Facebook. Management Sci. 64(11):5105–5131.Link, Google Scholar
- (2015) The role of social media in the capital market: Evidence from consumer product recalls. J. Accounting Res. 53(2):367–404.Crossref, Google Scholar
- (2013) AZDrugMiner: An information extraction system for mining patient-reported adverse drug events in online patient forums. Zeng D, Yang C, Tseng VS, Xing C, Chen H, Wang FY, Zheng X, eds. Internat. Conf. Smart Health (Springer, Beijing, China), 134–150.Google Scholar
- (2015) The dynamic impact of product-harm crises on brand preference and advertising effectiveness: An empirical analysis of the automobile industry. Management Sci. 61(10):2514–2535.Link, Google Scholar
- (2016) What drives a firm’s choice of product recall remedy? The impact remedy cost, product hazard, and the CEO. J. Marketing 80(3):79–95.Crossref, Google Scholar
- (2017) Crisis management strategies and the long-term effects of product recalls on firm value. J. Marketing 81(5):30–48.Crossref, Google Scholar
- (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
- (1989) The deterrent to dubious corporate behavior: Profitability, probability and safety recalls. Strategic Management J. 10(3):233–250.Crossref, Google Scholar
- (2013) Active social media management: The case of healthcare. Inform. Systems Res. 24(1):52–70.Link, Google Scholar
- (2019) The impact of product recall on advertising decisions and firm profit while envisioning crisis or being hazard myopic. Eur. J. Oper. Res. 288(3):953–970.Crossref, Google Scholar
- (2018) Product recall decisions in medical device supply chains: A big data analytic approach to evaluating judgment bias. Production Oper. Management 27(10):1816–1833.Crossref, Google Scholar
- (2011) Pattern mining for extraction of mentions of adverse drug reactions from user comments. AMIA Proc. Annual Sympos. Washington, DC, 1019–1026.Google Scholar
- (2015) Pharmacovigilance from social media: Mining adverse drug reaction mentions using sequence labeling with word embedding cluster features. J. Amer. Medical Informatics Assoc. 22(3):671–681.Crossref, Google Scholar
- (2013) Research Note—A dynamic view of the impact of network structure on technology adoption: The case of OSS development. Inform. Systems Res. 24(4):1087–1099.Link, Google Scholar
- (2016) What can big data offer the pharmacovigilance of orphan drugs? Clinical Therapeutics 38(12):2533–2545.Crossref, Google Scholar
- (2018) Detecting chemotherapeutic skin adverse reactions in social health networks using deep learning. JAMA Oncology 4(4):581–583.Crossref, Google Scholar
- (2013) FDA’s MedWatch program turns 20: What’s new? Pharmacy Today 19(10):68–69.Crossref, Google Scholar
- (2011) Optimal advertising when envisioning a product-harm crisis. Marketing Sci. 30(6):1048–1065.Link, Google Scholar
- (2015) Portable automatic text classification for adverse drug reaction detection via multi-corpus training. J. Biomedical Informatics 53:196–207.Crossref, Google Scholar
- (2017) Plant operations and product recalls in the automotive industry: An empirical investigation. Management Sci. 63(8):2439–2459.Link, Google Scholar
- (1993) It’s about time: Using discrete-time survival analysis to study duration and the timing of events. J. Ed. Behav. Statist. 18(2):155–195.Crossref, Google Scholar
- (2016) Emerging market presence, inventory, and product recall linkages. J. Oper. Management 46(1):55–68.Crossref, Google Scholar
- (2014) Global sourcing and quality recalls: An empirical study of outsourcing-supplier concentration-product recalls linkages. J. Oper. Management 32(5):241–253.Crossref, Google Scholar
- (2019) Did Twitter help ground the Boeing 737 MAX? The Wall Street Journal (March 15), https://www.wsj.com/articles/ill-tweet-to-that-social-media-gives-consumers-newfound-reach-11552667731.Google Scholar
- (2021) Does active service intervention drive more complaints on social media? The roles of service quality and awareness. J. Management Inform. Systems 38(3):579–611.Crossref, Google Scholar
- (2011) Product recalls in the dedical device industry: An empirical exploration of the sources and financial consequences. Management Sci. 57(2):376–392.Link, Google Scholar
- (2018) Spontaneous reporting on adverse events by consumers in the United States: An analysis of the Food and Drug Administration Adverse Event Reporting System database. Drugs Real World Outcomes 5(2):117–128.Crossref, Google Scholar
- (2007) The impact of a product-harm crisis on marketing effectiveness. Marketing Sci. 26(2):230–245.Link, Google Scholar
- (2021) Finding a needle in the haystack‚Recommending online communities on social media platforms using network and design science. J. Assoc. Inform. Systems 22(5):1285–1310.Google Scholar
- (2017) Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media. Briefings Bioinformatics 19(5):863–877.Crossref, Google Scholar
- (2020) The effect of competitive actions and social media perceptions on offline car sales after automobile recalls. Internat. J. Inform. Management 56(10):102257.Google Scholar
- (1993) Investigating onset, cessation, relapse, and recovery: Why you should, and how you can, use discrete-time survival analysis to examine event occurrence. J. Consulting Clinical Psych. 61(6):952–965.Crossref, Google Scholar
- (2010) Econometric Analysis of Cross Section and Panel Data (MIT Press, Cambridge, Massachusetts-London-England).Google Scholar
- World Health Organization (2002) The Importance of Pharmacovigilance (World Health Organization), https://www.paho.org/en/documents/importance-pharmacovigilance-2002-who.Google Scholar
- (2020) The influence of female directors on product recall decisions. Manufacturing Service Oper. Management 23(4):895–913.Link, Google Scholar
- (2013) Social network effects on productivity and job security: Evidence from the adoption of a social networking tool. Inform. Systems Res. 24(1):30–51.Link, Google Scholar
- (2015) Social media and brand purchase: Quantifying the effects of exposures to earned and owned social media activities in a two-stage decision making model. J. Management Inform. Systems 32(2):204–238.Crossref, Google Scholar
- (2014) Large-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection. BMC Bioinformatics 15(1):17.Crossref, Google Scholar
- (2013) Impact of Wikipedia on market information environment: Evidence on management disclosure and investor reaction. Management Inform. Systems Quart. 37(4):1043–1068.Crossref, Google Scholar
- (2013) Identification of consumer adverse drug reaction messages on social media. Proc. PACIS 2013 (Association for Information Systems, Jeju Island, Korea), 193.Google Scholar
- (2014) Postmarketing drug safety surveillance using publicly available health-consumer-contributed content in social media. ACM Trans. Management Inform. Systems 51(1):1–21.Crossref, Google Scholar
- (2014) A pipeline to extract drug-adverse event pairs from multiple data sources. BMC Medical Informatics Decision Making 14(1):13.Crossref, Google Scholar
- (2011) Consumer learning in a turbulent market environment: Modeling consumer choice dynamics after a product-harm crisis. J. Marketing Res. 48(2):255–267.Crossref, Google Scholar

