Complaint handling on social media: The impact of multiple response times on consumer satisfaction

Abstract With the increasing popularity of social media, understanding online consumer behaviors is becoming increasingly important for researchers in this field and practitioners who manage social media accounts. The focus of this study is one of the critical aspects of online complaint handling: response time. Using data collected from consumers who complained on Facebook or Twitter, the study explores how the response times of multiple company responses on social media influence consumer satisfaction. Specifically, the first response after the complaint and the conclusive response that closed the complaint file were investigated in regard to consumers’ objectives for complaining. Participants in the study stated that they expected companies to reply to their complaints within 1–3 h on Twitter and within 3–6 h on Facebook. The analysis reveals that both a quicker first response and a quicker conclusive response lead to higher satisfaction with complaint handling. Furthermore, in contrast to previous research on response time in offline redress-seeking situations, which has suggested that when consumers receive redress, response time does not have an effect on satisfaction, the findings of this study suggest that a speedy response increases satisfaction regardless of the consumers’ objectives. These findings provide implications for researchers and practitioners.

[1]  A. Kaplan,et al.  Users of the world, unite! The challenges and opportunities of Social Media , 2010 .

[2]  Malliga Marimuthu,et al.  The relationship between informational justice, recovery satisfaction, and loyalty: the moderating role of failure attributions , 2013 .

[3]  Moshe Davidow,et al.  The Bottom Line Impact of Organizational Responses to Customer Complaints , 2000 .

[4]  Julie F. Pallant,et al.  SPSS Survival Manual , 2020 .

[5]  Monic Sun,et al.  How Does the Variance of Product Ratings Matter? , 2010, Manag. Sci..

[6]  Jeffrey Blodgett,et al.  A Bayesian Network Model of the Consumer Complaint Process , 2000 .

[7]  D. Mount,et al.  The impact of selected customer characteristics and response time on e-complaint satisfaction and return intent. , 2003 .

[8]  Donald E. Conlon,et al.  Customer Perceptions of Corporate Responses to Product Complaints: The Role of Explanations , 1996 .

[9]  Christian Homburg,et al.  How Organizational Complaint Handling Drives Customer Loyalty: An Analysis of the Mechanistic and the Organic Approach , 2005 .

[10]  Charles L. Martin,et al.  Relationship correspondence: similarities and differences in business response to complimentary versus complaining consumers , 1988 .

[11]  Iguácel Melero,et al.  Managing Complaints to Improve Customer Profitability , 2015 .

[12]  F. Huber,et al.  A Cross-Cultural Comparison of Business Complaint Management Expectations , 2015 .

[13]  Bernard J. Jansen,et al.  Twitter power: Tweets as electronic word of mouth , 2009, J. Assoc. Inf. Sci. Technol..

[14]  Holger Roschk,et al.  Identifying Appropriate Compensation Types for Service Failures , 2014 .

[15]  Ruth N. Bolton,et al.  A Model of Customer Satisfaction with Service Encounters Involving Failure and Recovery , 1999 .

[16]  G. Glass,et al.  Statistical methods in education and psychology , 1970 .

[17]  Suzan Burton,et al.  Interactive or reactive? : marketing with Twitter , 2011 .

[18]  Kathleen M. Carley,et al.  Understanding online firestorms: Negative word-of-mouth dynamics in social media networks , 2014 .

[19]  M. Gilly,et al.  Post-Purchase Consumer Processes and the Complaining Consumer , 1982 .

[20]  W. Sasser,et al.  The profitable art of service recovery. , 1990, Harvard business review.

[21]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[22]  Bernd Stauss,et al.  The dimensions of complaint satisfaction: process and outcome complaint satisfaction versus cold fact and warm act complaint satisfaction , 2002 .

[23]  Stephen S. Tax,et al.  Customer Evaluations of Service Complaint Experiences: Implications for Relationship Marketing , 1998 .

[24]  N. W. H. Vianna,et al.  The ways companies really answer consumer complaints , 2013 .

[25]  Zizi Papacharissi,et al.  The virtual geographies of social networks: a comparative analysis of Facebook, LinkedIn and ASmallWorld , 2009, New Media Soc..

[26]  Chao Wen,et al.  It is not for fun: An examination of social network site usage , 2012, Inf. Manag..

[27]  Iguácel Melero-Polo,et al.  Can complaint-handling efforts promote customer engagement? , 2016 .

[28]  Fernando R. Jiménez,et al.  Too Popular to Ignore: The Influence of Online Reviews on Purchase Intentions of Search and Experience Products , 2013 .

[29]  Haeran Jae,et al.  Consumer Boycott Behavior: An Exploratory Analysis of Twitter Feeds , 2016 .

[30]  David R. Rink,et al.  Consumer Complaints: Advice on How Companies Should Respond Based on an Empirical Study , 1992 .

[31]  Ana Isabel Canhoto,et al.  Bittersweet! Understanding and Managing Electronic Word of Mouth , 2013 .

[32]  Sam H. Dekay.  How large companies react to negative Facebook comments , 2012 .

[33]  Tibert Verhagen,et al.  Negative online word-of-mouth: Behavioral indicator or emotional release? , 2013, Comput. Hum. Behav..

[34]  Moshe Davidow.  Organizational Responses to Customer Complaints: What Works and What Doesn’t , 2003 .

[35]  Stephen S. Tax,et al.  The effects of distributive, procedural, and interactional justice on postcomplaint behavior , 1997 .

[36]  Sabine Einwiller,et al.  Handling complaints on social network sites – An analysis of complaints and complaint responses on Facebook and Twitter pages of large US companies , 2015 .

[37]  Sara Valentini,et al.  A meta-analysis of satisfaction with complaint handling in services , 2010 .

[38]  James E. Larsen,et al.  Silence is Not Golden: Firm Response and Nonresponse to Consumer Correspondence , 2012 .

[39]  Anna S. Mattila,et al.  The impact of cyberostracism on online complaint handling , 2013 .

[40]  J. Peltier,et al.  A HISTORICAL REVIEW AND FUTURE RESEARCH AGENDA FOR THE FIELD OF CONSUMER SATISFACTION, DISSATISFACTION, & COMPLAINING BEHAVIOR , 2015 .

[41]  Jacob Hornik,et al.  Information dissemination via electronic word-of-mouth: Good news travels fast, bad news travels faster! , 2015, Comput. Hum. Behav..

[42]  Mark A. Davis,et al.  A Typology of Retail Failures and Recoveries , 1993 .

[43]  Guda van Noort,et al.  Online Damage Control: The Effects of Proactive versus Reactive Webcare Interventions in Consumer-generated and Brand-generated Platforms , 2012 .

[44]  Mary Jo Bitner,et al.  What unhappy customers want , 2014 .

[45]  Seokwoo Song,et al.  An empirical investigation of electronic word-of-mouth: Informational motive and corporate response strategy , 2010, Comput. Hum. Behav..

[46]  Susan M. Keaveney,et al.  Customer Switching Behavior in Service Industries: An Exploratory Study , 1995 .

[47]  A. Tversky,et al.  Prospect theory: analysis of decision under risk , 1979 .

[48]  K. Crawford.  Following you: Disciplines of listening in social media , 2009 .

[49]  J. Walther.  Research ethics in Internet-enabled research: Human subjects issues and methodological myopia , 2002, Ethics and Information Technology.

[50]  Angela M. Dean,et al.  Design and analysis of experiment , 2013 .

[51]  Timothy W. Finin,et al.  Why we twitter: understanding microblogging usage and communities , 2007, WebKDD/SNA-KDD '07.

[52]  Rebecca Eynon,et al.  The Ethics of Internet Research , 2008 .

[53]  Ralph L. Day,et al.  The hidden agenda of consumer complaining. , 1981 .

[54]  B. Wernerfelt,et al.  Defensive Marketing Strategy by Customer Complaint Management: A Theoretical Analysis , 1987 .

[55]  Mary Jo Bitner,et al.  The Service Encounter: Diagnosing Favorable and Unfavorable Incidents: , 1990 .

[56]  Mary C. Gilly,et al.  Postcomplaint Processes: From Organizational Response to Repurchase Behavior , 1987 .

[57]  D. J. Hill,et al.  Consumer Complaints by E-Mail: An Exploratory Investigation of Corporate Responses and Customer Reactions , 2001 .

[58]  Managing Brands In a Prickly Digital World , 2015, Journal of Advertising Research.

[59]  W. Jager,et al.  The SAGE Handbook of Online Research Methods , 2016 .

[60]  Peter Naudé,et al.  Complaint management expectations: An online laddering analysis of small versus large firms , 2009 .

[61]  Alexander Reppel,et al.  Revealing the expectations and preferences of complaining customers by combining the laddering interviewing technique with the Kano model of customer satisfaction , 2008 .

[62]  Kurt Matzler,et al.  Determinants of response to customer e-mail enquiries to hotels: evidence from Austria , 2005 .

[63]  Thomas M. Tripp,et al.  When Unhappy Customers Strike Back on the Internet , 2011 .

[64]  Ana Isabel Canhoto,et al.  Customer service 140 characters at a time: The users' perspective , 2013 .

[65]  Dwayne D. Gremler,et al.  Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet? , 2004 .

[66]  Andreas M. Kaplan,et al.  The early bird catches the news: Nine things you should know about micro-blogging , 2011 .

[67]  Jochen Wirtz,et al.  Consumer complaining to firms: the determinants of channel choice , 2004 .

[68]  Ewa Maslowska,et al.  "Understanding a fury in your words": The effects of posting and viewing electronic negative word-of-mouth on purchase behaviors , 2016, Comput. Hum. Behav..