I-Tung Shih

I-Tung Shih

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


I-Tung Shih has a total of 32 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Can self-determination theory interpret the career development process of employees? A case study on the benefits of job crafting for social workers

    by Shang-Ping Lin, Chih-Hsien Lee, I-Tung Shih

    This study examined the impact of approach job crafting on social workers’ job performance, with work meaningfulness and work identity serving as mediating variables. Data were collected through questionnaires distributed to social workers in Taiwan, resulting in 802 valid responses from 856 distributed instruments (93.7 percent response rate). Data analysis was conducted using SPSS 21.0 for descriptive statistics and AMOS 21.0 for structural equation modeling to test the hypothesized relationships. Results demonstrate that the principles of self-determination theory and work identity theory, when applied through approach job crafting, significantly enhance social workers’ job performance, work meaningfulness, and work identity. The study confirms that approach job crafting influences job performance through dual pathways: directly and indirectly via the mediating effects of work meaningfulness and work identity. As the social work profession confronts increasingly complex challenges, understanding mechanisms to enhance practitioners’ effectiveness becomes critical. This research provides evidence-based recommendations for social work practice, offering pathways to promote career development and psychological well-being among social work professionals.

  • Open Access

    Exploring the impact of perceived sustainability on customer satisfaction and the mediating role of perceived value

    by I-Tung Shih, Andri Dayarana K. Silalahi, Khishigtogtokh Baljir, Shinetsetseg Jargalsaikhan


  • Open Access

    Digital Diplomacy: A Case Study of Foreign Relations of Mongolian and India in Social Media by Big Data Analysis and Computation

    by Shinetsetseg Jargalsaikhan, Shu-Chin Huang, I-Tung Shih

    We explored digital diplomacy, an evolving field, focusing on the digital engagement strategies of India and Mongolia from 2012 to 2022 through a quantitative analysis of secondary data sourced from social media platforms. We investigated how these countries utilized digital tools to shape their international relations, highlighting the impact of digital diplomacy on traditional diplomatic practices and the potential for enhancing public diplomacy. By examining parameters such as post frequency and engagement rates, significant differences were determined to suggest strategic improvements for Mongolia. The findings offer the basis for the adoption of digital diplomacy, emphasizing its role in reshaping global interactions in the digital era.

  • Open Access

    To Satisfy or Clarify: Enhancing User Information Satisfaction with AI-Powered ChatGPT

    by Chung Jen Fu, Andri Dayarana K. Silalahi, I-Tung Shih, Do Thi Thanh Phuong, Ixora Javanisa Eunike, Shinetseteg Jargalsaikhan

    The effective use of AI-powered ChatGPT in higher education highlights its potential as a knowledge acquisition tool, yet it brings to the fore the less-explored area of user information satisfaction (UIS), a gap addressing the development of the UIS model tailored to ChatGPT. In this foundational research grounded in UIS theory, a model was proposed based on critical factors to guide educational stakeholders in investigating issues such as plagiarism and ethical use. By analyzing responses from a diverse group of Indonesian users employed in higher education and using Structural Equation Modeling with Smart-PLS 4.0, we identified five key determinants: completeness, precision, timeliness, convenience, and format. The determinants affect user satisfaction, while traditionally emphasized factors such as accuracy and reliability do not significantly impact the academic utilization of ChatGPT. The results advocate for reliance on ChatGPT with limitations in regard to accuracy and suggest a change in the academic use of technology. The results also offer a perspective that blends theoretical innovation with practical application in educational settings.


  • Open Access

    Chronicles of the midnight strain: Exploring graveyard shift stress and its impact on employee burnout in call centers

    by Sahilali Saiyed, I-Tung Shih, Bushra Urooj, Eko Hariyadi, Kuo-Ching Chiou

    This study, titled “Chronicles of the Midnight Strain: Exploring Graveyard Shift Stress and Its Impact on Employee Burnout in Call Centers,” delves into the intricate relationship between the demanding nature of graveyard shift work in call centers and its potential consequences on employee burnout. The research adopts a comprehensive approach, investigating various factors such as electronic performance monitoring, job demands, physiological indicators, and the role of lifestyle factors in cardiovascular health. Drawing from a vast array of literature, the study explores the causal links and mechanisms of action, emphasizing the significant role of sleep disruption and circadian rhythm desynchronization in contributing to cardiovascular disease among shift workers. Additionally, it considers the impact of stress, working hours, and dietary patterns on the overall well- being of employees working during the unconventional hours of the night. The study reviews existing theories proposing connections between shiftwork, sleep loss, and cardiovascular diseases. It scrutinizes factors like inflammation, blood coagulation, cardiac autonomic function, and the interplay between stress-related hormones and cardiovascular health. Multiple hypotheses are examined, including the influence of a stressful work environment, disturbed sleep on the immune system, and lifestyle factors such as dietary habits and substance use. Despite over two decades of continuous research, the findings in this area remain inconclusive regarding the precise role of shiftwork in cardiovascular disease. The study aims to contribute valuable insights into mitigating the potential adverse effects of graveyard shift stress on employee burnout in call centers, providing a foundation for further research and the development of targeted interventions.


  • Open Access

    AI Smart Materials for Enhancing Sucking Ability in Preterm Infants

    by Chuang-Chien Chiu, Huan-Hsu Chen, Teh-Ming Wang, I-Tung Shih

  • Open Access

    Balancing Satisfaction and Clarity: Enhancing User Information Satisfaction with AI-Powered ChatGPT in Higher Education

    by Chung-Jen Fu, Andri Dayarana K. Silalahi, I-Tung Shih, Do Thi Thanh Phuong, Ixora Javanisa Eunike, Shinetsetseg Jargalsaikhan

    Incorporating AI tools like ChatGPT into higher educational settings has been beneficial for education, yet the extent of user satisfaction with the information provided by these tools, known as user information satisfaction (UIS), remains underexplored. Our study introduces a UIS model specifically designed for ChatGPT's application in the educational sector. Drawing from established UIS theory, we crafted a model centered around seven essential factors that influence the effective use of ChatGPT, aiming to guide both educators and learners in overcoming common challenges such as plagiarism and ensuring the ethical use of AI. We gathered data from Indonesian university participants and applied Structural Equation Modeling using Smart-PLS 4.0 for our data analysis. The results reveal that completeness, precision, timeliness, convenience, and the format of information as the most influential factors driving user satisfaction with ChatGPT. Interestingly, our research indicated that the accuracy and reliability of the information, typically deemed paramount, were not the primary concerns in the academic use of ChatGPT. Our findings lead to a recommendation for a cautious approach to the integration of ChatGPT in higher education. We advocate for a strategic use that recognizes its innovative potential while also acknowledging its limitations, thus ensuring a responsible and effective application in educational contexts. This balanced perspective is crucial for integrating AI tools into the academic fabric without compromising educational integrity or quality.

  • Top Cited Papers
    Open Access

    Assessing ChatGPT’s Information Quality Through the Lens of User Information Satisfaction and Information Quality Theory in Higher Education: A Theoretical Framework

    by Chung-Jen Fu, Andri Dayarana K. Silalahi, I-Tung Shih, Do Thi Thanh Phuong, Ixora Javanisa Eunike, Shinetsetseg Jargalsaikhan

    Incorporating AI tools like ChatGPT into higher education has been beneficial, yet the extent of user satisfaction with the quality of information provided by these tools, known as user information satisfaction (UIS) and information quality (IQ) theory, remains underexplored. This study introduces a UIS model specifically designed for ChatGPT’s application in the educational sector based on multidimensions of IQ theory. Drawing from established UIS and IQ theory, we crafted a model centered around seven essential factors that influence the effective use of ChatGPT, aiming to guide educators and learners in overcoming common challenges such as plagiarism and ensuring the ethical use of AI. Data was collected from Indonesian university participants (N = 508) and analyzed using structural equation modeling with Smart‐PLS 4.0. The results reveal that completeness, precision, timeliness, convenience, and information format are the most influential factors driving user satisfaction with ChatGPT. Interestingly, our research indicated that the accuracy and reliability of the information, typically deemed paramount, were not the primary concerns in the academic use of ChatGPT. Our findings recommend a cautious approach to integrating ChatGPT in higher education. We advocate for strategic use that recognizes its innovative potential while acknowledging its limitations, ensuring responsible and effective application in educational contexts. This balanced perspective is crucial for integrating AI tools into the academic fabric without compromising educational integrity or quality.