I-Tung Shih
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:
- Andri Dayarana K. Silalahi
Chaoyang University of Technology
5 shared publications - Shinetsetseg Jargalsaikhan
Department of Business Administration, College of Management, Chaoyang University of Technology, Taichung 411310, Taiwan
5 shared publications - Chung-Jen Fu
Department of Business Administration, Chaoyang University of Technology, Taichung 411310, Taiwan
2 shared publications - Do Thi Thanh Phuong
Department of Marketing and Logistics Management, Chaoyang University of Technology, Taichung 411310, Taiwan
2 shared publications - Ixora Javanisa Eunike
Master of Management Program, Graduate School, University of Technology, Medan 20235, Indonesia
2 shared publications Wen-Goang Yang
Chaoyang Univ Technol, Taichung 413, Taiwan
2 shared publications
Latest Publications
- 30 April 2026
- Published by Oxford University Press (OUP) in The British Journal of Social Work
Can self-determination theory interpret the career development process of employees? A case study on the benefits of job crafting for social workers
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.
- 30 April 2026
- Published by Oxford University Press (OUP) in The British Journal of Social Work
Can self-determination theory interpret the career development process of employees? A case study on the benefits of job crafting for social workers
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
- 26 November 2024
- Published by Taylor & Francis in Cogent Business & Management
- Vol. 11 (1)
Exploring the impact of perceived sustainability on customer satisfaction and the mediating role of perceived value
- 26 November 2024
- Published by Taylor & Francis in Cogent Business & Management
- Vol. 11 (1)
Open AccessExploring the impact of perceived sustainability on customer satisfaction and the mediating role of perceived value
- Open Access
- 3 September 2024
- Published by MDPI AG in Engineering Proceedings
- Vol. 74 (1) , 45
Digital Diplomacy: A Case Study of Foreign Relations of Mongolian and India in Social Media by Big Data Analysis and Computation
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.
- 3 September 2024
- Published by MDPI AG in Engineering Proceedings
- Vol. 74 (1) , 45
Open AccessDigital Diplomacy: A Case Study of Foreign Relations of Mongolian and India in Social Media by Big Data Analysis and Computation
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
- 26 August 2024
- Published by MDPI AG in Engineering Proceedings
- Vol. 74 (1) , 3
To Satisfy or Clarify: Enhancing User Information Satisfaction with AI-Powered ChatGPT
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.
- 26 August 2024
- Published by MDPI AG in Engineering Proceedings
- Vol. 74 (1) , 3
Open AccessTo Satisfy or Clarify: Enhancing User Information Satisfaction with AI-Powered ChatGPT
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
- 16 July 2024
- Published by EDP Sciences in ITM Web of Conferences
- Vol. 65, 05002
Chronicles of the midnight strain: Exploring graveyard shift stress and its impact on employee burnout in call centers
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.
- 16 July 2024
- Published by EDP Sciences in ITM Web of Conferences
- Vol. 65, 05002
Open AccessChronicles of the midnight strain: Exploring graveyard shift stress and its impact on employee burnout in call centers
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
- 18 March 2024
- Published by MYU K.K. in Sensors and Materials
- Vol. 36 (3) , 919-943
AI Smart Materials for Enhancing Sucking Ability in Preterm Infants
- 18 March 2024
- Published by MYU K.K. in Sensors and Materials
- Vol. 36 (3) , 919-943
Open AccessAI Smart Materials for Enhancing Sucking Ability in Preterm Infants
- Open Access
- 1 February 2024
- Published by MDPI AG in Preprints.org
Balancing Satisfaction and Clarity: Enhancing User Information Satisfaction with AI-Powered ChatGPT in Higher Education
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.
- 1 February 2024
- Published by MDPI AG in Preprints.org
Open AccessBalancing Satisfaction and Clarity: Enhancing User Information Satisfaction with AI-Powered ChatGPT in Higher Education
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 PapersOpen Access
- 1 January 2024
- Published by Wiley in Human Behavior and Emerging Technologies
- Vol. 2024 (1)
Assessing ChatGPT’s Information Quality Through the Lens of User Information Satisfaction and Information Quality Theory in Higher Education: A Theoretical Framework
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.
- 1 January 2024
- Published by Wiley in Human Behavior and Emerging Technologies
- Vol. 2024 (1)
Top Cited PapersOpen AccessAssessing ChatGPT’s Information Quality Through the Lens of User Information Satisfaction and Information Quality Theory in Higher Education: A Theoretical Framework
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.