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http://dx.doi.org/10.7472/jksii.2019.20.6.85

An Analysis of the Factors Affecting User Satisfaction in Computational Science and Engineering Platforms: A Case Study of EDISON  

On, Noori (Center for Computational Science Platform, Korea Institute of Science and Technology Information)
Kim, Nam-Gyu (Center for Computational Science Platform, Korea Institute of Science and Technology Information)
Ru, Kimyoung (Center for Computational Science Platform, Korea Institute of Science and Technology Information)
Jang, Hanbichnale (Center for Computational Science Platform, Korea Institute of Science and Technology Information)
Lee, Jongsuk Ruth (Center for Computational Science Platform, Korea Institute of Science and Technology Information)
Publication Information
Journal of Internet Computing and Services / v.20, no.6, 2019 , pp. 85-93 More about this Journal
Abstract
Computational Science and Engineering is a convergence study that understands and solves complex problems such as science, engineering, and social phenomena through modeling using computing resources. Computational science and engineering combines algorithms, computational and informatics, and infrastructure. The importance of computational science is increasing with the improvement of computer performance and the development of large data processing technology. In Korea, Korea Institute of Science and Technology Information (KISTI) has been developing national computational science engineering software and utilization technology by combining basic science and computing technology through EDISON project. The EDISON project builds an open EDISON platform and integrates and services information systems in seven areas of computational science and engineering (computational thermal fluids, nanophysics, computational chemistry, structural dynamics, computational design, and computational medicine). Using this, we have established a web-based curriculum to lay the groundwork for fostering scientific talent and commercializing computational science and engineering software. The purpose of this study is to derive the quality characteristic factors of computational science platform and to empirically examine the effect on user satisfaction. This paper examines how the quality characteristics of information systems, the computational science engineering platform, affect the user satisfaction by modifying the research questions according to the propensity of the computational science platform by referring to the success factors of DeLone and McLean's information system. Based on the results of this study, we will suggest strategic implications for platform improvement by searching the priority of quality characteristics of computational science platform.
Keywords
Computational Science Platform; The EDISON Project; Information System Quality factors; IS Success Model;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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