Chia Lee Yang
National Chiao Tung University
8 Papers
Chia Lee Yang is an academic researcher from National Chiao Tung University. The author has contributed to research in topics: Empirical research & Disaster recovery. The author has an hindex of 6, co-authored 6 publications.
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Papers
A Derivation of Factors Influencing the Innovation Diffusion of the OpenStreetMap in STEM Education
TL;DR: In this paper, an analytic framework based on innovation diffusion theory (IDT) and the technology acceptance model (TAM) was defined to investigate the factors influencing the innovation diffusion of OSM in STEM education.
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Determinants and their causal relationships affecting the adoption of cloud computing in science and technology institutions
TL;DR: The goal of this research was to construct a decision framework by identifying a series of key consideration factors and their causal relationships that affect the adoption of cloud computing in S&T institutions by conducting an empirical study by surveying a group of people who are implementers and/or users of cloud Computing in S &T institutions.
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A derivation of factors influencing the successful integration of corporate volunteers into public flood disaster inquiry and notification systems
TL;DR: Wang et al. as discussed by the authors proposed a hybrid multi-criteria decision-making (MCDM) model to address the key influence factors and the cause-effect relationships between factors.
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Disaster Recovery Site Evaluations and Selections for Information Systems of Academic Big Data
TL;DR: The proposed analytic framework is consisting of the Decision-Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based network process (DNP) and VIsekriterijumsko KOmpromisno Rangiranje (VIKOR) methods and can serve as a foundation for information technology (IT) administrators’ strategies to reduce the performance gaps of a DR site for Big Data manipulations in general, and academic Big Data manipulation in special.
A High Performance Computing Platform for Big Biological Data Analysis
Chieh-Wei Huang,Chia Lee Yang,Yu Tai Wang +2 more
- 21 Apr 2023
TL;DR: In this paper , the authors presented a large-scale biological data analysis platform enabled by an HPC infrastructure for genomic sequencing data and protein structure analysis, which enables researchers to gain profound insights into the deepest biological functions by addressing the challenges of big biological data analyses.
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