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Altruistic eWOM marketing: More than an alternative to monetary incentives

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  • Reimer, Thomas
  • Benkenstein, Martin

Abstract

As a form of word of mouth, online reviews are used to reduce uncertainty about service quality and direct consumer attitudes and behavior. As a consequence of the high persuasiveness and the broad accessibility of electronic word of mouth (eWOM), companies are very interested to proactively managing this form of customer-to-customer communication. Compared with traditional advertising provides, eWOM marketing is a more credible and low-cost alternative. So far marketers have commonly used monetary incentives to influence customer-to-customer communication. However, this form also includes potential negative consequences such as credibility loss through consumer skepticism and crowding-out effects. This study analyzed two new incentive programs for increasing recommendation likelihood that considered the activation of an altruistic form of motivation to overcome these drawbacks. Therefore, an experiment was designed with three experimental groups (incentive programs) vs. a control group (no incentive). Finally, the results are discussed while taking into account the advantages and drawbacks of the particular incentive program to deduce practical implications.

Suggested Citation

  • Reimer, Thomas & Benkenstein, Martin, 2016. "Altruistic eWOM marketing: More than an alternative to monetary incentives," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 323-333.
  • Handle: RePEc:eee:joreco:v:31:y:2016:i:c:p:323-333
    DOI: 10.1016/j.jretconser.2016.04.003
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    References listed on IDEAS

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    Cited by:

    1. Chen, Ruolan & Yuan, Ruizhi & Huang, Bo & Liu, Martin J., 2023. "Feeling warm or skeptical? An investigation into the effects of incentivized eWOM programs on customers’ eWOM sharing intentions," Journal of Business Research, Elsevier, vol. 167(C).
    2. Dirk van Straaten, 2021. "Incentive Schemes in Customer Rating Systems - Comparing the Effects of Unconditional and Conditional Rebates on Intrinsic Motivation," Working Papers Dissertations 71, Paderborn University, Faculty of Business Administration and Economics.
    3. Eggers, Fabian & Risselada, Hans & Niemand, Thomas & Robledo, Sebastian, 2022. "Referral campaigns for software startups: The impact of network characteristics on product adoption," Journal of Business Research, Elsevier, vol. 145(C), pages 309-324.
    4. Zhao, Zhenzhen & Renard, Damien, 2018. "Viral Promotional Advergames: How Intrinsic Playfulness and the Extrinsic Value of Prizes Elicit Behavioral Responses," Journal of Interactive Marketing, Elsevier, vol. 41(C), pages 94-103.
    5. Petrescu, Maria & O’Leary, Kathleen & Goldring, Deborah & Ben Mrad, Selima, 2018. "Incentivized reviews: Promising the moon for a few stars," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 288-295.
    6. Liguo Lou & Yongbing Jiao & Joon Koh, 2021. "Determinants of Fan Engagement in Social Media-Based Brand Communities: A Brand Relationship Quality Perspective," Sustainability, MDPI, vol. 13(11), pages 1-17, May.
    7. Sadiq, Mohd & Bharti, Kumkum & Adil, Mohd & Singh, Ramendra, 2021. "Why do consumers buy green apparel? The role of dispositional traits, environmental orientation, environmental knowledge, and monetary incentive," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    8. Fan, Liu & Zhang, Xiaoping & Rai, Laxmisha, 2021. "When should star power and eWOM be responsible for the box office performance? - An empirical study based on signaling theory," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    9. Dixit, Saumya & Jyoti Badgaiyan, Anant & Khare, Arpita, 2019. "An integrated model for predicting consumer's intention to write online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 112-120.
    10. Pizzi, Gabriele & Vannucci, Virginia & Shukla, Yupal & Aiello, Gaetano, 2022. "Privacy concerns and justice perceptions with the disclosure of biometric versus behavioral data for personalized pricing tell me who you are, I’ll tell you how much you pay. Consumers’ fairness and p," Journal of Business Research, Elsevier, vol. 148(C), pages 420-432.
    11. Reimer, Thomas, 2023. "Environmental factors to maximize social media engagement: A comprehensive framework," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    12. Ismagilova, Elvira & Dwivedi, Yogesh K. & Slade, Emma, 2020. "Perceived helpfulness of eWOM: Emotions, fairness and rationality," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    13. Hailian Qiu & Ning Wang & Minglong Li, 2021. "Stimulating Customer Citizenship Behavior With Service Climate: The Mediating Role of Customer Psychological Empowerment," SAGE Open, , vol. 11(1), pages 21582440211, March.
    14. Ismagilova, Elvira & Slade, Emma & Rana, Nripendra P. & Dwivedi, Yogesh K., 2020. "The effect of characteristics of source credibility on consumer behaviour: A meta-analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    15. Reimer, Thomas & Benkenstein, Martin, 2018. "Not just for the recommender: How eWOM incentives influence the recommendation audience," Journal of Business Research, Elsevier, vol. 86(C), pages 11-21.
    16. Lee, Wei-Long & Liu, Chih-Hsing & Tseng, Tzu-Wen, 2022. "The multiple effects of service innovation and quality on transitional and electronic word-of-mouth in predicting customer behaviour," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).

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