Arab countries strive toward the modernization and feminization of the Arab culture; however, some of these countries (i.e., Saudi Arabia) are culturally and legally governed by "sharia law", and have maintained cultural norms regarding segregation of the sexes. In order to have a better understanding of the Arab travelers to the U.S., this research focuses on the gender dynamics between the service providers and Arab customers during a service encounter. Specifically, this research examines how the same and opposite genders of service-provider and customer influence Arab customers’ emotional response (comfort), consequently their service encounter evaluation (satisfaction), and behavioral intentions (feedback willingness). This research also examines how the employees’ efforts to solicit feedback from Arab customers may intensify the effect of gender dynamics on Arab customers’ responses. Scenario-based online surveys are created and distributed to respondents of Arab descent in Saudi Arabia, Bahrain, and United Arab Emirates by using snowball sampling. The results based on 326 respondents show potential differences determined by gender interaction. Arab customers were more comfortable, more satisfied with the service encounter, and more willing to provide feedback, if the employee was the same gender as the customer, as opposed to the employee being the opposite gender from the customer. However, results showed that employee efforts to solicit feedback did not intensify the gender interaction effect. Additionally, through the service encounter, the Arab customers’ comfort influenced their service encounter satisfaction and their willingness to provide feedback. The findings of this research provide valuable implications for hospitality managers to better cater to the needs of Arab customers by examining the dimensions of gender boundaries in an intercultural service encounter.
Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-3867 |
Date | 01 January 2013 |
Creators | Khan, Marryam |
Publisher | STARS |
Source Sets | University of Central Florida |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Electronic Theses and Dissertations |
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