“We(b)care”: How review set balance moderates the appropriate response strategy to negative online reviews

Purpose – Consumers often discuss brands and companies online, but no research details how service providers’ responses to online reviews influence other readers’ perceptions of the reviews and responses. Based on justice theory and the accountability principle, both integrated in equity theory, the purpose of this paper is to examine how service providers should react to different degrees of negative reviews to enhance readers’ attitudes, patronage intentions, and intentions to spread positive word of mouth. Design/methodology/approach – A 3 (review set balance: positive, neutral, negative) × 6 (response strategy) full-factorial between-subjects experiment included 973 respondents. Findings – More negative balance demands more effort from the service provider to create positive attitudes and encourage behavioural intentions. If a minority of reviewers are dissatisfied, no response is necessary; if the review set is neutral, the service provider should apologize and promise to resolve the problem; if a ma...

[1]  R. Johnston,et al.  Why service recovery fails: Tensions among customer, employee, and process perspectives , 2009 .

[2]  Beverley Sparks,et al.  Justice strategy options for increased customer satisfaction in a services recovery setting , 2001 .

[3]  John C. Crotts,et al.  Perceptions, corrections and defections: implications for service recovery in the restaurant industry , 2000 .

[4]  Conrado Tapado,et al.  An Experimental Study of How Restaurant-Owners' Responses to Negative Reviews affect Readers' Intention to Visit , 2012 .

[5]  C. Goodwin,et al.  Consumer responses to service failures: Influence of procedural and interactional fairness perceptions , 1992 .

[6]  S. Hunt,et al.  The Identity Salience Model of Relationship Marketing Success: The Case of Nonprofit Marketing , 2003 .

[7]  R. Batra,et al.  The Role of Mood in Advertising Effectiveness , 1990 .

[8]  Patrick De Pelsmacker,et al.  Balance and Sequence in Online Reviews: The Wrap Effect , 2012, Int. J. Electron. Commer..

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

[10]  Ardion Beldad,et al.  How shall I trust the faceless and the intangible? A literature review on the antecedents of online trust , 2010, Comput. Hum. Behav..

[11]  Michael A. Jones,et al.  The impact of service failure severity on service recovery evaluations andpost‐recovery relationships , 2004 .

[12]  Jang-Sun Hwang,et al.  How Consumers Evaluate eWOM (Electronic Word-of-Mouth) Messages , 2009, Cyberpsychology Behav. Soc. Netw..

[13]  Mary Jo Bitner,et al.  Evaluating service encounters: The effects of physical surroundings and employee responses. , 1990 .

[14]  Joseph P. Cannon,et al.  An Examination of the Nature of Trust in Buyer–Seller Relationships: , 1997 .

[15]  Stevie Watson Consumer responses to service situations: Tests for main and interaction effects , 2012 .

[16]  F. Jacob,et al.  How credibility affects eWOM reading: The influences of expertise, trustworthiness, and similarity on utilitarian and social functions , 2014 .

[17]  Se-Bum Park,et al.  The Effect of Low- versus High-Variance in Product Reviews on Product Evaluation† , 2013 .

[18]  Bart Larivière,et al.  The Impact of Process Recovery Communication on Customer Satisfaction, Repurchase Intentions, and Word-of-Mouth Intentions , 2012 .

[19]  Chrysanthos Dellarocas,et al.  Exploring the value of online product reviews in forecasting sales: The case of motion pictures , 2007 .

[20]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

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

[22]  Mira Lee,et al.  Electronic word of mouth (eWOM) , 2009 .

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

[24]  Robert Johnston,et al.  Best-practice complaint management , 2002 .

[25]  Sirkka L. Jarvenpaa,et al.  Consumer trust in an Internet store , 2000, Inf. Technol. Manag..

[26]  S. Utz,et al.  On-line Reputation Systems: The Effects of Feedback Comments and Reactions on Building and Rebuilding Trust in On-line Auctions , 2009, Int. J. Electron. Commer..

[27]  J. Chiou,et al.  Should a company have message boards on its Web sites? , 2003 .

[28]  F. Dwyer,et al.  Developing Buyer-Seller Relationships: , 1987 .

[29]  A. Rangaswamy,et al.  The Impact of New Media on Customer Relationships , 2010 .

[30]  Ina Garnefeld,et al.  Walk Your Talk: An Experimental Investigation of the Relationship Between Word of Mouth and Communicators’ Loyalty , 2011 .

[31]  A. Mattila The effectiveness of service recovery in a multi‐industry setting , 2001 .

[32]  Louis M. Hsu,et al.  Factors Affecting Perceptions of Political Candidates Accused of Sexual and Financial Misconduct , 1988 .

[33]  Tor W. Andreassen,et al.  Antecedents to satisfaction with service recovery , 2000 .

[34]  S. Hunt,et al.  The Commitment-Trust Theory of Relationship Marketing , 1994 .

[35]  Nathalia Purnawirawan,et al.  Balance and Sequence in Online Reviews: How Perceived Usefulness Affects Attitudes and Intentions , 2012 .

[36]  Huaping Chen,et al.  Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations , 2009, Int. J. Electron. Commer..

[37]  G. Zaltman,et al.  Factors affecting trust in market research relationships. , 1993 .

[38]  Amy L. Ostrom,et al.  Consumer Trade-Offs and the Evaluation of Services , 1995 .

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

[40]  Katja Gelbrich,et al.  Anger, frustration, and helplessness after service failure: coping strategies and effective informational support , 2010 .

[41]  Audun Jøsang,et al.  A survey of trust and reputation systems for online service provision , 2007, Decis. Support Syst..

[42]  W. Reinartz,et al.  On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing , 2000 .

[43]  Beverley Sparks,et al.  Application of Fairness Theory to Service Failures and Service Recovery , 2003 .

[44]  Syed Saad Andaleeb,et al.  Customer satisfaction in the restaurant industry: an examination of the transaction‐specific model , 2006 .

[45]  Leonard N. Reid,et al.  Measuring Trust In Advertising , 2009 .

[46]  Christina Geng-Qing Chi,et al.  Examine the cognitive and affective antecedents to service recovery satisfaction: A field study of delayed airline passengers , 2013 .

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

[48]  B. Sparks,et al.  The impact of online reviews on hotel booking intentions and perception of trust. , 2011 .

[49]  E. Cowley Views from consumers next in line: The fundamental attribution error in a service setting , 2005 .

[50]  William L. Benoit,et al.  Accounts, excuses, and apologies : a theory of image restoration strategies , 1994 .

[51]  Dhruv Grewal,et al.  The Effect of Compensation on Repurchase Intentions in Service Recovery , 2008 .

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

[53]  Kiran Karande,et al.  The influences of transaction history and thank you statements in service recovery. , 2009 .

[54]  A. Kau,et al.  The effects of service recovery on consumer satisfaction: a comparison between complainants and non‐complainants , 2006 .

[55]  Allan J. Kimmel Connecting With Consumers: Marketing For New Marketplace Realities , 2010 .

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

[57]  Holger Roschk,et al.  A Meta-Analysis of Organizational Complaint Handling and Customer Responses , 2011 .

[58]  Chris Pullig,et al.  Conflicts in the Work–Family Interface: Links to Job Stress, Customer Service Employee Performance, and Customer Purchase Intent , 2005 .

[59]  Dongyoung Sohn,et al.  Disentangling the Effects of Social Network Density on Electronic Word-of-Mouth (eWOM) Intention , 2009, J. Comput. Mediat. Commun..

[60]  Carlos Flavián,et al.  The Influence of Satisfaction, Perceived Reputation and Trust on a Consumer's Commitment to a Website , 2007 .

[61]  Christina Sichtmann An analysis of antecedents and consequences of trust in a corporate brand , 2007 .

[62]  Rene Dentiste Mueller,et al.  Service in the restaurant industry: an American and Irish comparison of service failures and recovery strategies. , 2003 .

[63]  Sherry J. Holladay,et al.  Helping Crisis Managers Protect Reputational Assets , 2002 .

[64]  Christo Boshoff,et al.  Empowerment, attribution and apologising as dimensions of service recovery , 1998 .

[65]  B. Weiner Attributional Thoughts about Consumer Behavior , 2000 .

[66]  Ruth N. Bolton,et al.  An Experimental Investigation of Customer Reactions to Service Failure and Recovery Encounters , 1998 .

[67]  Jen-Hung Huang,et al.  Herding in online product choice , 2006 .

[68]  Arik Ragowsky,et al.  Establishing Trust in Electronic Commerce Through Online Word of Mouth: An Examination Across Genders , 2008, J. Manag. Inf. Syst..

[69]  James G. Maxham Service recovery's influence on consumer satisfaction, positive word-of-mouth, and purchase intentions , 2001 .

[70]  Richard A. Spreng,et al.  Service recovery: Impact on satisfaction and intentions , 1995 .

[71]  W. T. Coombs,et al.  An Analytic Framework for Crisis Situations: Better Responses From a Better Understanding of the Situation , 1998 .

[72]  Bart Larivière,et al.  Service recovery's impact on customers next-in-line , 2013 .

[73]  Jonah Berger,et al.  Positive Effects of Negative Publicity: When Negative Reviews Increase Sales , 2009, Mark. Sci..

[74]  R. Marshall,et al.  Exploring Customer Loyalty Following Service Recovery , 2008 .

[75]  Tomás Bayón,et al.  The effect of word of mouth on services switching , 2004 .

[76]  Minghua Jiang,et al.  Quantifying the Dynamic Effects of Service Recovery on Customer Satisfaction , 2013 .

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

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

[79]  A. Palmer,et al.  Equity and repurchase intention following service failure , 2000 .

[80]  E. Anderson,et al.  Strengthening the Satisfaction-Profit Chain , 2000 .

[81]  D. Ferrin,et al.  Removing the shadow of suspicion: the effects of apology versus denial for repairing competence- versus integrity-based trust violations. , 2004, The Journal of applied psychology.

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

[83]  Hong-Youl Ha Factors influencing consumer perceptions of brand trust online , 2004 .

[84]  Werner H. Kunz,et al.  Creators, multipliers, and lurkers: who contributes and who benefits at online review sites , 2013 .

[85]  A. Hayes Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach , 2013 .

[86]  Charles Comegys,et al.  Effects of Consumer Trust and Risk on Online Purchase Decision-Making: A Comparison of Finnish and United States Students , 2009 .

[87]  Scott R. Swanson,et al.  Service recovery attributions and word‐of‐mouth intentions , 2001 .

[88]  Jochen Wirtz,et al.  Consumer responses to compensation, speed of recovery and apology after a service failure , 2004 .

[89]  R. Rust,et al.  Customer Satisfaction, Productivity, and Profitability: Differences Between Goods and Services , 1997 .