An Efficient Evaluation Model for the Assessment of University-industry Research Collaboration in Malaysia

• Main Authors: Abeda, Muhammad Iqbal, Adnan, Shahid Khan, Shazia, Parveen, Aslan, Amat Senin
• Format: E-Article
• Language: English
• Published: Maxwell Scientific Organization 2015
• Subjects: T Technology (General)
• Online Access: http://ir.unimas.my/id/eprint/10313/1/NO%2016%20An%20efficient%20evaluation%20model%20for%20the%20assessment%20of%20university-industry%20research%20collaboration%20in%20Malaysia%20%28abstract%29.pdf; http://ir.unimas.my/id/eprint/10313/; http://www.scopus.com/inward/record.url?eid=2-s2.0-84934762886&partnerID=40&md5=861e8243f3bd930893f59a61f05da1ff
• Institution: Universiti Malaysia Sarawak

University-Industry Research Collaboration (UIRC) is an essential, effective and dynamic factor not only for development of social community but also for the development of the nation. Despite the enormous importance of this research collaboration, there have been certain issues still remain in this domain. Several articles have been published to deal with the factors affecting this collaboration and to make the collaboration successful. However, the discussion about the concept of evaluation and its potential application to this collaboration has been excluded from the mainstream literature. In this study, we focused on the evaluation scheme to assess the strength or weaknesses of the collaboration. The contributions of this study are in threefold. First, it recognizes the highly influential constraints, evaluation parameters, success criteria and tangible outcomes of UIRC that are the core demand of the evaluation process. Second, it develops an evaluation model that illustrates the comprehensive review of Malaysian UIRC. Third, it provides a robust set of evaluation metrics that is responsible to evaluate the strength not only Malaysian UIRC but also any research collaboration between university and industry. This evaluation metrics can be utilized in term of checklist by simply following the set of generated evaluation metrics to check the strength and weaknesses of the collaboration. As far as, we aware of, this is the first time an extensive contribution is attempted in this area of research