Self-service technology is rapidly changing the hospitality industry, providing new opportunities for the delivery of services and options for customers. Preparing to implement effective self-service technology delivery programs requires a workforce that can rapidly adapt to change. Understanding factors that influence employee readiness to engage in and support self-directed processes are an important consideration when implementing self-service technology. The results of the linear regression model in this study indicate that generalized self-efficacy and the self-directed learning readiness of employees in the hospitality industry are significantly related variables. While self-efficacy was the most highly correlated variable to the self-directed learning readiness of hospitality employees, future studies should consider other characteristics that may influence self-direction. As self-service technology continues to rapidly expand in all areas of the hospitality industry, opportunities and challenges exist for both employees and customers.
This research aims to conduct a cross cultural study of Mainland Chinese and the United States (U.S.) seniors' personality traits and identify how they affect motivation, preferences, sociodemographic, and travel-related characteristics. Using samples of 496 Mainland Chinese and 532 U.S. senior responses, this research determined that three personality traits (psychocentric, midcentric, and allocentric) described U.S. senior participants and two personality traits (psychocentric and midcentric) described Mainland Chinese senior participants. Using a series of analytical tools including one-way ANOVA, regression, independent sample ttest, and chi-square tests, differences between senior tourists' personality traits and other variables were determined across U.S. and Mainland Chinese senior samples and across the measurement constructs. Practical implications are discussed and recommendations for future research are provided.
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