An artificial neural network approach to hotel employee satisfaction: The case of China

Main Article Content

Xizhou Tian
Yongjian Pu
Cite this article:  Tian, X., & Pu, Y. (2008). An artificial neural network approach to hotel employee satisfaction: The case of China. Social Behavior and Personality: An international journal, 36(4), 467-482.


Abstract
Full Text
References
Tables and Figures
Acknowledgments
Author Contact

At present, the hotel employment sector in China has a high rate of employee turnover compared to other services. This is not unlike other countries. The reason for the turnover among hotel employees may be lower worker satisfaction resulting in decreased - or no - loyalty to employers. This study was based on an Artificial Neural Network (ANN). The factors influencing employee satisfaction were examined and the impacts of demographic characteristics on hotel employee satisfaction were analyzed. Results show that hotel employee satisfaction in China is low, hotel employee satisfaction differs by age and gender, and that professional development opportunities for employees and the long-term growth prospects of the hotels themselves are the most important contributors to employee satisfaction. On the basis of these findings, several recommendations for improving employee satisfaction, thereby sustaining the long-term economic health of China’s hospitality industry, are provided.

Please login and/or purchase the PDF to view the full article.
Please login and/or purchase the PDF to view the full article.
Please login and/or purchase the PDF to view the full article.
Please login and/or purchase the PDF to view the full article.
Please login and/or purchase the PDF to view the full article.

Article Details