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Improving Industry- University R and D Partnership Project Management: A Pilot Study

Hasan, Q and Belal, HM (2018) Improving Industry- University R and D Partnership Project Management: A Pilot Study. International Journal of Industrial and Business Management. ISSN 2572-8423

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Abstract

In April 2004, a new law turned Japanese national universities into independent public corporations. This change has increased pressure on them to look to industry for more support than ever before. Since one of the laboratories in Japan Advanced Institute of Science and Technology’s (JAIST’s) School of Materials Science is involved in a collaborative project with two industrial partners (one large and one small), we saw an excellent opportunity to conduct a pilot study on an industry-university knowledge partnership for a scientific research and development project in the Japanese national university setting. The purpose of our study is to identify both which areas and considerations have the most influence on such projects and how such projects can be improved. This paper presents our methodology and data results. Most importantly, it presents a list of specific suggestions for improving project performance. Although it was a pilot study with a small number of respondents, this study still may have significance in terms of the suggestions for improving collaborative projects and in regard to the data-gathering methodology we used. We planned to provide results of the study to the project team members and recommend they apply the most important suggestions for improving their project. We also planned to do a follow-up study to determine whether or not the project is improved by the implementation of these key suggestions.

Item Type: Article
Subjects: H Social Sciences > HF Commerce > HF5001 Business
L Education > LB Theory and practice of education > LB2300 Higher Education
Divisions: Liverpool Business School
Publisher: eSciPub LLC
Date Deposited: 07 Feb 2019 08:55
Last Modified: 04 Sep 2021 02:07
DOI or ID number: 10.28933/ijibm-2018-06-0701
URI: https://researchonline.ljmu.ac.uk/id/eprint/9831
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