The META Lab at Taipei Tech is a group of researchers interested in studying motivation, expertise, and technology-enhanced training. We focus on improving people’s performance and enhancing their well-being in organizations. By applying various analytical approaches, we aim to generate practical insights that support growth and improvement in professional environments.
Congratulations to Ting-Wei Lin for presenting his research, conducted in collaboration with Dr. Shonn Cheng, at the 2025 Taiwan Industrial and Organizational Psychology (TAIOP) Annual Conference at National Taiwan University in Taipei City, Taiwan. The study, “Reducing Turnover Intention: Shaping Employees’ Expectations and Intrinsic Value,” examines how employees’ expectations and intrinsic value can predict turnover intention. The results show that enhancing both expectations and intrinsic value simultaneously is key to reducing turnover intention. This research emphasizes the importance of fostering both personal beliefs in success and the value employees place on their work to improve job satisfaction and retention.
Congratulations to Li-Fang Fan for presenting her research, conducted in collaboration with Dr. Shonn Cheng, at the 2025 Business & Management Conference at Chinese Culture University in Taipei City, Taiwan. The study, “Developing and Validating a Work Motivation Scale Based on Situated Expectancy-Value Theory,” focused on creating a scale to measure work motivation, incorporating elements of expectancy and value in workplace settings. The findings provide valuable insights into how motivation varies across different organizational environments and can inform better practices for enhancing employee engagement and job satisfaction.
Congratulations to Sung-Chan Ku for presenting his research, conducted in collaboration with Dr. Shonn Cheng and Nurul Annisa, at the 15th Asian Conference on Psychology & the Behavioral Sciences in Tokyo, Japan. The study examined the relations between pay, job satisfaction, and turnover intention using a nationally representative sample of workers in Taiwan. The results show that pay significantly reduces turnover intention but does not affect job satisfaction. Additionally, job satisfaction moderates the effect of pay on turnover intention, strengthening the negative relation when satisfaction is high. These findings suggest that enhancing both pay and job satisfaction simultaneously is crucial in minimizing turnover intention.
Congratulations to Min-Chen He for presenting her research, conducted in collaboration with Dr. Shonn Cheng, at the TWELF 2025 International Conference. The study examined the impact of one-to-one computing policies on teachers and students. Findings show that while these policies increase technology use in traditional teaching, they do not significantly enhance innovative teaching practices or student learning outcomes. The results suggest that while technology access improves integration, its effect on teaching innovation and learning remains limited.