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We're So Bad It's Funny - Effects of Using Humour in the Marketing Communication of Low-Quality Service Providers

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  • Danatzis, Ilias
  • Möller, Jana
  • Mathies, Christine

Abstract

Low-quality service providers who are unable or unwilling to compete through superior performance increasingly use humour in their marketing communication to generate positive service outcomes. Yet it remains unclear whether using humour to communicate poor service quality is indeed effective. Based on an online experiment in the context of budget hotels, this study finds that using humour to deliberately communicate poor service quality leads to higher purchase intentions and service quality evaluations by reducing both technical and functional service quality expectations. Theoretically, this study extends humour and service research by providing first empirical evidence for the viability of using humour as an effective tool for leveraging customer expectations of service quality rather than improving service performance. Managerially, these insights highlight how reducing customer expectations is an alternative strategy for attracting new customers and for achieving superior quality evaluations.

Suggested Citation

  • Danatzis, Ilias & Möller, Jana & Mathies, Christine, 2020. "We're So Bad It's Funny - Effects of Using Humour in the Marketing Communication of Low-Quality Service Providers," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 4(2-3), pages 84-99.
  • Handle: RePEc:nms:nomsmr:10.15358/2511-8676-2020-2-3-84
    DOI: 10.15358/2511-8676-2020-2-3-84
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    1. Andreas C. Soteriou & Richard B. Chase, 2000. "A Robust Optimization Approach for Improving Service Quality," Manufacturing & Service Operations Management, INFORMS, vol. 2(3), pages 264-286, May.
    2. Scott, Cliff & Klein, David M & Bryant, Jennings, 1990. "Consumer Response to Humor in Advertising: A Series of Field Studies Using Behavioral Observation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(4), pages 498-501, March.
    3. Martin Eisend, 2011. "How humor in advertising works: A meta-analytic test of alternative models," Marketing Letters, Springer, vol. 22(2), pages 115-132, June.
    4. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
    5. van Dolen, Willemijn M. & de Ruyter, Ko & Streukens, Sandra, 2008. "The effect of humor in electronic service encounters," Journal of Economic Psychology, Elsevier, vol. 29(2), pages 160-179, April.
    6. Jerónimo García-Fernández & Pablo Gálvez-Ruíz & Jesús Fernández-Gavira & Luisa Vélez-Colón & Brenda Pitts & Ainara Bernal-García, 2018. "The effects of service convenience and perceived quality on perceived value, satisfaction and loyalty in low-cost fitness centers," Sport Management Review, Taylor & Francis Journals, vol. 21(3), pages 250-262, July.
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    Cited by:

    1. Raithel, Sascha & Jacob, Frank & Benkenstein, Martin, 2020. "Tuning the Sounds of Service: Essays in Honour of Michael Kleinaltenkamp," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 4(2-3), pages 70-74.

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