An Empirical Study on the Intention to Reuse Computational Science and Engineering Platforms: A Case Study of EDISON

• Noori On,
• Gi-Myeong Ryu,
• Myoung-Ju Koh,
• Jongsuk Ruth Lee,
• Nam-Gyu Kim,

Vol. 14, No. 8, August 31, 2020
10.3837/tiis.2020.08.016, Download Paper (Free):

• Computational Science and Engineering Platform
• EDISON Platform
• Information Systems Success Model
• Technology Acceptance Model
• Structural Equation Analysis

Abstract

The computational science and engineering field, which combines basic science and computing technology, has emerged as a third scientific methodology, following theories and experiments. This study aimed to identify factors and relationships that affect the continued use of the computational science and engineering (CSE) platform for its successful operation, utilization, and diffusion. To that end, the quality factors of the platform were derived by combining the information system success model and the technology acceptance model. These factors affected user satisfaction and intention to reuse through users’ perceived usefulness and perceived ease of use of the platform. An empirical analysis was conducted through a questionnaire survey of 373 users of the EDISON platform, a representative CSE platform in Korea. The results revealed that all quality factors have a positive influence on perceived usefulness and perceived ease of use. Specifically, information quality has a significant influence on perceived ease of use, and system quality has a significant influence on perceived usefulness. Perceived ease of use has a greater impact on user satisfaction than perceived usefulness, and satisfaction affects intention to reuse. The results can contribute to the development of CSE platforms and the development strategy to expand the number of users.

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