M
Mingchang Wu
Researcher at National Yunlin University of Science and Technology
Publications - 6
Citations - 998
Mingchang Wu is an academic researcher from National Yunlin University of Science and Technology. The author has contributed to research in topics: Medicine & Higher education. The author has an hindex of 1, co-authored 1 publications receiving 865 citations.
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Journal ArticleDOI
Understanding the determinants of cloud computing adoption
TL;DR: The research revealed that relative advantage, top management support, firm size, competitive pressure, and trading partner pressure characteristics have a significant effect on the adoption of cloud computing.
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A Study on the Psychological Contract of Administrative Personnel in Vocational Education Institute
Mingchang Wu,Luthfiyah Nurlaela +1 more
TL;DR: Wang et al. as mentioned in this paper conducted a study to identify the traits and internal structure of psychological contract for administrative personnel in vocational education institutes at higher educational level and provided several practical suggestions to foster faculty members' career development and university efficacy.
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Psychological Capital's impact on the leadership-organizational climate preference relationship in potential leaders ∼ A study comparing teachers and sportsmen∼
TL;DR: In this article , the authors investigated the influence of perceived psychological capital on the relationship between leadership style preference and organizational climate preference in pre-tertiary teachers and 112 sportsmen.
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The Influence of Internal Motivation and Digital Literacy Towards Students’ Proactivity
TL;DR: In this article, the authors analyzed the effect of student's internal motivation and digital literacy on their proactivity and found that students' internal motivation had a positive and significant influence on their performance.
Peer Review
Journal of Education and Learning (EduLearn)
TL;DR: In this paper , the authors used mixed research methods designed with an explanatory design which is a combination of two methods, namely quantitative and qualitative research methods, to find the differences and relationships between student responses, student character, and student attitudes towards the inquiry learning model for physics subjects.