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Risking the self: the impact of self-esteem on negative word-of-mouth behavior

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  • Matthew Philp

    (HEC Montréal)

  • Martin A. Pyle

    (Ryerson University)

  • Laurence Ashworth

    (Queen’s University)

Abstract

Negative word-of-mouth is a pervasive and persuasive force on consumers, yet little is known about the characteristics of the people who decide to share, or not to share, this information. We examine the impact of consumer trait self-esteem on tendencies to share negative word-of-mouth. Prior work has shown that consumer self-esteem moderates the likelihood of sharing positive word-of-mouth, yet extending this theory to negative word-of-mouth behavior results in conflicting predictions. This paper addresses these contradictions by adopting a two-dimensional view of self-esteem (self-liking and self-competence). We suggest that these dimensions will have opposing effects on the sharing of negative word-of-mouth. Two studies show that individuals high in self-competence are less willing to share negative word-of-mouth, whereas individuals high in self-liking are more willing to do so—results that would be disguised by treating self-esteem as a single-dimension construct.

Suggested Citation

  • Matthew Philp & Martin A. Pyle & Laurence Ashworth, 2018. "Risking the self: the impact of self-esteem on negative word-of-mouth behavior," Marketing Letters, Springer, vol. 29(1), pages 101-113, March.
  • Handle: RePEc:kap:mktlet:v:29:y:2018:i:1:d:10.1007_s11002-018-9447-8
    DOI: 10.1007/s11002-018-9447-8
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    References listed on IDEAS

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    Cited by:

    1. Donthu, Naveen & Kumar, Satish & Pandey, Neeraj & Pandey, Nitesh & Mishra, Akanksha, 2021. "Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis," Journal of Business Research, Elsevier, vol. 135(C), pages 758-773.
    2. Philp, Matthew & Ashworth, Laurence, 2020. "I should have known better!: When firm-caused failure leads to self-image concerns and reduces negative word-of-mouth," Journal of Business Research, Elsevier, vol. 116(C), pages 283-293.
    3. Philp, Matthew & Jacobson, Jenna & Pancer, Ethan, 2022. "Predicting social media engagement with computer vision: An examination of food marketing on Instagram," Journal of Business Research, Elsevier, vol. 149(C), pages 736-747.
    4. Curina, Ilaria & Francioni, Barbara & Hegner, Sabrina M. & Cioppi, Marco, 2020. "Brand hate and non-repurchase intention: A service context perspective in a cross-channel setting," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    5. Dalman, M. Deniz & Chatterjee, Subimal & Min, Junhong, 2020. "Negative word of mouth for a failed innovation from higher/lower equity brands: Moderating roles of opinion leadership and consumer testimonials," Journal of Business Research, Elsevier, vol. 115(C), pages 1-13.
    6. Mainardes, Emerson Wagner & Souza, Irailton Melo de & Correia, Rogério Dias, 2020. "Antecedents and consequents of consumers not adopting e-commerce," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    7. Philp, Matthew & Pyle, Martin A., 2021. "The “easy win” preference: Negative consumption experiences, incompetence, and the influence on subsequent unrelated loyalty behavior," Journal of Business Research, Elsevier, vol. 128(C), pages 1-10.
    8. Barbara Duffek & Andreas B. Eisingerich & Omar Merlo, 2023. "Why so toxic? A framework for exploring customer toxicity," AMS Review, Springer;Academy of Marketing Science, vol. 13(1), pages 122-143, June.

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