Journal of Information Systems Engineering and Management

Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for Informed Decision-Making and Performance Enhancement
Qing Li 1 * , Chuming Ren 2
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1 Lecturer, International College, Krirk University, Bangkok, Thailand
2 Professor, International College, Krirk University, Bangkok, Thailand
* Corresponding Author
Research Article

Journal of Information Systems Engineering and Management, 2024 - Volume 9 Issue 2, Article No: 23912
https://doi.org/10.55267/iadt.07.14677

Published Online: 23 Apr 2024

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APA 6th edition
In-text citation: (Li & Ren, 2024)
Reference: Li, Q., & Ren, C. (2024). Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for Informed Decision-Making and Performance Enhancement. Journal of Information Systems Engineering and Management, 9(2), 23912. https://doi.org/10.55267/iadt.07.14677
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Li Q, Ren C. Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for Informed Decision-Making and Performance Enhancement. J INFORM SYSTEMS ENG. 2024;9(2):23912. https://doi.org/10.55267/iadt.07.14677
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Li Q, Ren C. Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for Informed Decision-Making and Performance Enhancement. J INFORM SYSTEMS ENG. 2024;9(2), 23912. https://doi.org/10.55267/iadt.07.14677
Chicago
In-text citation: (Li and Ren, 2024)
Reference: Li, Qing, and Chuming Ren. "Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for Informed Decision-Making and Performance Enhancement". Journal of Information Systems Engineering and Management 2024 9 no. 2 (2024): 23912. https://doi.org/10.55267/iadt.07.14677
Harvard
In-text citation: (Li and Ren, 2024)
Reference: Li, Q., and Ren, C. (2024). Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for Informed Decision-Making and Performance Enhancement. Journal of Information Systems Engineering and Management, 9(2), 23912. https://doi.org/10.55267/iadt.07.14677
MLA
In-text citation: (Li and Ren, 2024)
Reference: Li, Qing et al. "Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for Informed Decision-Making and Performance Enhancement". Journal of Information Systems Engineering and Management, vol. 9, no. 2, 2024, 23912. https://doi.org/10.55267/iadt.07.14677
ABSTRACT
Making informed decisions and improving organizational performance are crucial in the modern, data-driven environment. These processes are significantly shaped by a number of variables, including Data Imaging, Interaction Systems, Decision Support Systems, IT Infrastructure, and Technology Readiness. Interaction Systems enable communication and teamwork, Data Imaging translates complex data into visual insights, and Decision Support Systems offer cutting-edge analytics. The IT infrastructure serves as the foundation of technology, and technology readiness measures how ready people and universities are to adopt new technologies. This research aims to explore the interplay between these variables within the context of organizational change theory and their impact on organizational performance and decision-making. Additionally, it examines the moderating effect of Technology Readiness and the mediating role of IT Infrastructure in the organizational change process. Structural Equation Modeling (SEM) in AMOS is used to do this study quantitatively. A total of 450 professionals from various fields are surveyed using reliable questionnaires to compile this data. Within the context of organizational change theory, this study provides insights into the complex interactions between these factors and their combined impact on organizational performance and decision-making. It offers insightful information about how university management can use technology and human resources to improve decision-making procedures and overall performance results. This study adds to both practical and theoretical knowledge, providing concrete recommendations for firms trying to thrive in a technologically driven society. It also increases theoretical understanding by offering a comprehensive framework and putting light on the roles of IT Infrastructure, and Technology Readiness in the decision-making and performance improvement of universities.
KEYWORDS
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