Brand feedback to negative eWOM messages: Effects of stability and controllability of problem causes on brand attitudes and purchase intentions

Abstract Research has shown negative product reviews or electronic word-of-mouth (eWOM) negatively influence consumers’ attitudes and behaviors. However, research has paid less attention to consumers’ information processing of negative eWOM in the presence of brands’ public response, or brand feedback. Findings from a between-subjects experiment indicate brand feedback can make the biggest impact on visiting consumers when addressing a brand-controlled and short-term problem. This suggests brand feedback cannot replace long-term quality considerations. The study contributes to our understanding of effects of online brand contributions and eWOM messages, and provides managerial suggestions about strategizing posting of brand feedback in an eWOM space.

[1]  S. Ullrich,et al.  Negative online consumer reviews: effects of different responses , 2015 .

[2]  Vincent T. P. Cheng,et al.  Handling Negative Online Customer Reviews: The Effects of Elaboration Likelihood Model and Distributive Justice , 2014 .

[3]  Brand Concepts and Advertising , 2012 .

[4]  Ghosh Tathagata,et al.  Gulping the Poison: How Webcare Attributes Reduce Damages to Brands Caused by Negative Reviews , 2018, Journal of Internet Commerce.

[5]  Mira Lee,et al.  Effects of Valence and Extremity of eWOM on Attitude toward the Brand and Website , 2009 .

[6]  S. W. Litvin,et al.  Responses to consumer-generated media in the hospitality marketplace , 2012 .

[7]  H. Kelley The processes of causal attribution. , 1973 .

[8]  V. Folkes Consumer Reactions to Product Failure: An Attributional Approach , 1984 .

[9]  Jeffrey Blodgett,et al.  The effects of perceived justice on complainants' negative word-of-mouth behavior and repatronage intentions , 1993 .

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

[11]  Mario Pandelaere,et al.  When Consistency Matters: The Effect of Valence Consistency on Review Helpfulness , 2015, J. Comput. Mediat. Commun..

[12]  B. Weiner An attributional theory of achievement motivation and emotion. , 1985, Psychological review.

[13]  R. Mizerski An Attribution Explanation of the Disproportionate Influence of Unfavorable Information , 1982 .

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

[15]  I. Ajzen The theory of planned behavior , 1991 .

[16]  Karen L. Xie,et al.  The business value of online consumer reviews and management response to hotel performance. , 2014 .

[17]  Dimple R. Thadani,et al.  The impact of electronic word-of-mouth communication: A literature analysis and integrative model , 2012, Decis. Support Syst..

[18]  Kit Hong Wong,et al.  The effects of response strategies and severity of failure on consumer attribution with regard to negative word-of-mouth , 2015, Decis. Support Syst..

[19]  Vincent S. Lai,et al.  Literature derived reference models for the adoption of online shopping , 2005, Inf. Manag..

[20]  William J. Brown,et al.  Differences in Univariate Values versus Multivariate Relationships: Findings from a Study of Diana, Princess of Wales. , 2002 .

[21]  R. Goldsmith,et al.  Measuring Motivations for Online Opinion Seeking , 2006 .

[22]  S. Sen,et al.  Why are you telling me this? An examination into negative consumer reviews on the Web , 2007 .

[23]  B. Gu,et al.  First Step in Social Media - Measuring the Influence of Online Management Responses on Customer Satisfaction , 2011 .

[24]  Tathagata Ghosh Managing Negative Reviews: The Persuasive Role of Webcare Characteristics , 2017 .

[25]  Shelly Rodgers,et al.  What does the brand say? Effects of brand feedback to negative eWOM on brand trust and purchase intentions , 2018, Electronic Word of Mouth as a Promotional Technique.

[26]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

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

[28]  V. Folkes Recent Attribution Research in Consumer Behavior: A Review and New Directions , 1988 .

[29]  B. Sparks,et al.  A “Triple A” Typology of Responding to Negative Consumer-Generated Online Reviews , 2017 .

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

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

[32]  E. E. Jones,et al.  From Acts To Dispositions The Attribution Process In Person Perception1 , 1965 .

[33]  Gianfranco Walsh,et al.  Electronic Word-of-Mouth: Motives for and Consequences of Reading Customer Articulations on the Internet , 2003, Int. J. Electron. Commer..

[34]  Pranjal Gupta,et al.  Emotional expressions in online user reviews: How they influence consumers' product evaluations , 2012 .

[35]  A. Mauri,et al.  Web reviews influence on expectations and purchasing intentions of hotel potential customers. , 2013 .

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

[37]  Sebastian Ullrich,et al.  The most optimal way to deal with negative consumer review: Can positive brand and customer responses rebuild product purchase intentions? , 2019, Internet Res..

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

[39]  F. Försterling,et al.  Attribution: An Introduction to Theories, Research and Applications , 2001 .

[40]  Rolph E. Anderson,et al.  Customer loyalty in e-commerce: an exploration of its antecedents and consequences , 2002 .

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

[42]  Kevin Kam Fung So,et al.  Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern , 2016 .

[43]  Nancy Spears,et al.  Measuring Attitude toward the Brand and Purchase Intentions , 2004 .