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The influence of electronic human resource management on organizational performance in the Chinese tourism industry

Jia, Jing (2024) The influence of electronic human resource management on organizational performance in the Chinese tourism industry. Master dissertation/thesis, UTAR.

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    Abstract

    This study explores the interrelationship between e-recruitment, e-training, e-compensation, and organizational performance in the Chinese tourism industry. Through various statistical analyses, including Pearson correlation analysis, multiple regression analysis, and descriptive analysis, key findings have been identified. The results reveal significant positive correlations between e-recruitment, e-training, e-compensation, and organizational performance. Specifically, optimizing e-recruitment processes enhances talent acquisition, while effective e-training programs improve employee skills and knowledge. Additionally, efficient e-compensation management boosts employee satisfaction and motivation, thereby enhancing organizational performance. Managerial implications suggest that investing in e-HRM practices is essential for improving operational efficiency and performance in the tourism industry. Recommendations for future research include expanding sample sizes, adopting multiple data collection methods, and conducting in-depth regional and industry-specific analyses to enhance the generalizability of findings. Acknowledging limitations such as small sample sizes and potential biases in data collection methods, this study provides valuable insights for practitioners and researchers alike. By addressing identified limitations and implementing recommended improvements, future research can further advance understanding in this critical area and contribute to the sustainable development of the tourism industry. Keywords: E-HRM, Electronic recruitment, Electronic training, Electronic Compensation, Organizational performance.

    Item Type: Final Year Project / Dissertation / Thesis (Master dissertation/thesis)
    Subjects: H Social Sciences > H Social Sciences (General)
    H Social Sciences > HA Statistics
    H Social Sciences > HT Communities. Classes. Races
    Divisions: Institute of Postgraduate Studies & Research > Faculty of Accountancy and Management (FAM) - Sg. Long Campus > Master of Business Administration
    Depositing User: Sg Long Library
    Date Deposited: 27 Aug 2024 13:14
    Last Modified: 27 Aug 2024 13:15
    URI: http://eprints.utar.edu.my/id/eprint/6785

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