Observer Reactions To Other Customer Incivility: Emotional Labor, Gratitude, Loyalty To Employee And Tipping Intention

INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT(2019)

Cited 43|Views1
No score
Abstract
Purpose This study aims to examine the observing customer's reactions, namely, gratitude, loyalty to the employee and tipping intention while observing other customer incivility during another customer service failure and the frontline employee's emotional labor strategy.Design/methodology/approach A 2 (emotional labor strategy: deep acting vs surface acting) by 2 (service consumption criticality: high vs low) experiment is used to test the hypotheses.Findings The results reveal that observing an employee's deep acting emotional labor (vs surface acting) leads to a greater level of gratitude among the affected customers and promotes their tipping and loyalty to the employee. However, there is no significant interaction effect of service consumption criticality and emotional labor strategy on customer gratitude.Research limitations/implications This research builds upon the social servicescape, customer misbehavior and emotional labor literature by examining previously untested relationships.Practical implications In cases of other customer service failure, managers should effectively communicate to their employees how their emotional labor induces positive customer feedback. Currently, emotional labor is emphasized mostly regarding its negative effects on employees, but this research suggests that serving the recovery expectation of the affected customers, especially when it is served with authentic emotional displays, can promote increased tipping and loyalty behavior.Originality/value No research investigates customers' emotional and behavioral reactions to employee emotional labor in the context of other customer service failure.
More
Translated text
Key words
Tipping, Gratitude, Loyalty
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined