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Customers who misbehave: Identifying restaurant guests “acting out†via asymmetric case models

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  • Chaouali, Walid
  • Hammami, Samiha Mjahed
  • Cristóvão Veríssimo, José Manuel
  • Harris, Lloyd C.
  • El-Manstrly, Dahlia
  • Woodside, Arch G.

Abstract

This study uncovers the impact of combined dark triad personality traits, firm's power, and customer demographic characteristics. It uses a sample of 263 restaurant customers. The findings include customer configurations indicating misbehavior and non-misbehavior cases. From a theoretical perspective, the study questions the philosophy of customer sovereignty and applies asymmetric case-based modeling to identify configurations indicating misbehavior customers and non-misbehavior customers. Strategy implications: from a managerial perspective and to tackle misbehavior, firms should use coercive power (e.g., suing customers who misbehave), reward power (e.g., recognition and flattery when customers behave properly), and referent power (e.g., enforcing customers' affective attachment).

Suggested Citation

  • Chaouali, Walid & Hammami, Samiha Mjahed & Cristóvão Veríssimo, José Manuel & Harris, Lloyd C. & El-Manstrly, Dahlia & Woodside, Arch G., 2022. "Customers who misbehave: Identifying restaurant guests “acting out†via asymmetric case models," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
  • Handle: RePEc:eee:joreco:v:66:y:2022:i:c:s096969892100463x
    DOI: 10.1016/j.jretconser.2021.102897
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    as
    1. Mikalef, Patrick & Pateli, Adamantia, 2017. "Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA," Journal of Business Research, Elsevier, vol. 70(C), pages 1-16.
    2. Daunt, Kate L. & Harris, Lloyd C., 2011. "Customers acting badly: Evidence from the hospitality industry," Journal of Business Research, Elsevier, vol. 64(10), pages 1034-1042, October.
    3. Fellesson, Markus & Salomonson, Nicklas, 2020. "It takes two to interact – Service orientation, negative emotions and customer phubbing in retail service work," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    4. Jin, Ting & Prentice, Catherine & Shao, Wei, 2021. "Identifying antecedent conditions for luxury brand purchase," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    5. Paul Benjamin Lowry & Jun Zhang & Chuang Wang & Mikko Siponen, 2016. "Why Do Adults Engage in Cyberbullying on Social Media? An Integration of Online Disinhibition and Deindividuation Effects with the Social Structure and Social Learning Model," Information Systems Research, INFORMS, vol. 27(4), pages 962-986, December.
    6. Frasquet, Marta & Miquel-Romero, Maria-Jose, 2021. "Competitive (versus loyal) showrooming: An application of the push-pull-mooring framework," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    7. Alexander Leischnig & Arch G. Woodside, 2019. "Who Approves Fraudulence? Configurational Causes of Consumers’ Unethical Judgments," Journal of Business Ethics, Springer, vol. 158(3), pages 713-726, September.
    8. Wu, Pei-Ling & Yeh, Shih-Shuo & Huan, Tzung-Cheng (.T.C.). & Woodside, Arch G., 2014. "Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations," Journal of Business Research, Elsevier, vol. 67(8), pages 1647-1670.
    9. Das, Manish & Jebarajakirthy, Dr Charles, 2020. "Impact of acculturation to western culture (AWC) on western fashion luxury consumption among Gen-Y consumers in the Asia-Pacific region," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    10. Kallis, M. Jeffery & Vanier, Dinoo J., 1985. "Consumer shoplifting: Orientations and deterrents," Journal of Criminal Justice, Elsevier, vol. 13(5), pages 459-473.
    11. Andrew Harrison & James Summers & Brian Mennecke, 2018. "The Effects of the Dark Triad on Unethical Behavior," Journal of Business Ethics, Springer, vol. 153(1), pages 53-77, November.
    12. Gligor, David & Bozkurt, Siddik, 2020. "FsQCA versus regression: The context of customer engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    13. Habel, Johannes & Alavi, Sascha & Pick, Doreén, 2017. "When serving customers includes correcting them: Understanding the ambivalent effects of enforcing service rules," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 919-941.
    14. Yueh, Hsiu-Ping & Lu, Ming-Hsin & Lin, Weijane, 2016. "Employees' acceptance of mobile technology in a workplace: An empirical study using SEM and fsQCA," Journal of Business Research, Elsevier, vol. 69(6), pages 2318-2324.
    15. Arch G. Woodside & Alexandre Schpektor & Xin Xia, 2013. "Triple Sense-Making of Findings from Marketing Experiments Using the Dominant Variable Based-Logic, Case-Based Logic, and Isomorphic Modeling," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 12(2), pages 131-153, December.
    16. Olya, Hossein G.T. & Lee, Choong-Ki & Lee, Yong-Ki & Reisinger, Yvette, 2019. "What are the triggers of Asian visitor satisfaction and loyalty in the Korean heritage site?," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 195-205.
    17. David Whiteside & Laurie Barclay, 2013. "Echoes of Silence: Employee Silence as a Mediator Between Overall Justice and Employee Outcomes," Journal of Business Ethics, Springer, vol. 116(2), pages 251-266, August.
    18. Balaji, M.S. & Jiang, Yangyang & Singh, Gurbir & Jha, Subhash, 2020. "Letting go or getting back: How organization culture shapes frontline employee response to customer incivility," Journal of Business Research, Elsevier, vol. 111(C), pages 1-11.
    19. Fullerton, R. A. & Punj, G., 2004. "Repercussions of promoting an ideology of consumption: consumer misbehavior," Journal of Business Research, Elsevier, vol. 57(11), pages 1239-1249, November.
    20. Sun, Yang, 2021. "Case based models of the relationship between consumer resistance to innovation and customer churn," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    21. Duarte, Paulo & Pinho, José Carlos, 2019. "A mixed methods UTAUT2-based approach to assess mobile health adoption," Journal of Business Research, Elsevier, vol. 102(C), pages 140-150.
    22. Jahanmir, Sara F. & Silva, Graça Miranda & Gomes, Paulo J. & Gonçalves, Helena Martins, 2020. "Determinants of users’ continuance intention toward digital innovations: Are late adopters different?," Journal of Business Research, Elsevier, vol. 115(C), pages 225-233.
    23. Ragin, Charles C., 2006. "Set Relations in Social Research: Evaluating Their Consistency and Coverage," Political Analysis, Cambridge University Press, vol. 14(3), pages 291-310, July.
    24. Woodside, Arch G., 2014. "Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities," Journal of Business Research, Elsevier, vol. 67(12), pages 2495-2503.
    25. Pera, Rebecca & Viglia, Giampaolo & Furlan, Roberto, 2016. "Who Am I? How Compelling Self-storytelling Builds Digital Personal Reputation," Journal of Interactive Marketing, Elsevier, vol. 35(C), pages 44-55.
    26. Souiden, Nizar & Amara, Nabil & Chaouali, Walid, 2020. "Optimal image mix cues and their impacts on consumers’ purchase intention," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
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