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Understanding why anger predicts intention to complain among high but not low power customers: A test of competing models

Author

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  • Min, Hyounae (Kelly)
  • Joireman, Jeff
  • Kim, Hyun Jeong

Abstract

While anger is a strong predictor of customer complaining, it is possible that some angry customers do not complain, and some customers who are not angry do complain. To better understand anger's role in customer complaining, the current work tests the hypothesis that the relationship between anger and complaining intention is contingent on the customer's power state. Specifically, anger is posited to relate positively to complaining intention among high but not low power consumers. More importantly, two competing models are tested which explain why anger may not predict complaining among low power customers (i.e., low power suppressing vs. low power compensating). Two experiments reveal that a low-power state reduces the relationship between anger and complaining, resulting in a moderate level of complaining intention overall, supporting a hybrid model integrating the low power suppressing and low power compensating models. Theoretical and practical implications and future research directions are discussed.

Suggested Citation

  • Min, Hyounae (Kelly) & Joireman, Jeff & Kim, Hyun Jeong, 2019. "Understanding why anger predicts intention to complain among high but not low power customers: A test of competing models," Journal of Business Research, Elsevier, vol. 95(C), pages 93-102.
  • Handle: RePEc:eee:jbrese:v:95:y:2019:i:c:p:93-102
    DOI: 10.1016/j.jbusres.2018.10.017
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    References listed on IDEAS

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    3. Chen, Ke & Chen, Jianxun & Zhan, Wu & Sharma, Piyush, 2020. "When in Rome! Complaint contagion effect in multi-actor service ecosystems," Journal of Business Research, Elsevier, vol. 121(C), pages 628-641.
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    6. Emre Yildirim & Tuğba Koç & Yakup Güzel, 2024. "Excessive Pricing at the Covid-19 Pandemic: Big Data Insights From Consumer Complaints," SAGE Open, , vol. 14(1), pages 21582440241, January.

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