Empirical Investigation of Factors Influencing the Performance of Employees with Over Five Years of Work Experience in High-Tech Enterprises in China
DOI:
https://doi.org/10.14456/shserj.2024.43Keywords:
Innovative Behavior, Organizational Commitment, Training, Job Satisfaction, Job PerformanceAbstract
Purpose: The objective of this study is to investigate the significant factors impacting the job performance of employees in high-tech enterprises located in Chengdu, China. The conceptual framework proposes causal relationships between variables such as job engagement, innovative behavior, distributive justice, training, job satisfaction, organizational commitment, and employee job performance. Research Design, Data, and Methodology: A questionnaire was distributed to collect data from 500 employees who have been working over five years in High-Tech Enterprises in China. The researcher used Item-Objective Consistency (IOC) and Cronbach's Alpha to test the designed scales before distributing the questionnaire. Nonprobability and probability sampling methods are used, including judgmental and stratified random sampling. The collected data were then subjected to statistical analyses, including Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM), to assess reliability, validity, and model fit. Results: Through the analysis, eight hypotheses were confirmed. The analysis of the research findings demonstrates that training, job engagement, distributive justice, job satisfaction, innovative behavior, and organizational commitment have a significantly positive impact on job performance among employees in high-tech enterprises. Conclusions: This study provides recommendations for human resource management in high-tech enterprises, highlights the limitations of the research, and suggests directions for future research.
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