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Erschienen in: AI & SOCIETY 3/2014

01.08.2014 | Open Forum

Innovation systems in Malaysia: a perspective of university—industry R&D collaboration

verfasst von: V. G. R. Chandran, Veera Pandiyan Kaliani Sundram, Sinnappan Santhidran

Erschienen in: AI & SOCIETY | Ausgabe 3/2014

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Abstract

Collaborative research and development (R&D) activities between public universities and industry are of importance for the sustainable development of the innovation ecosystem. However, policymakers especially in developing countries show little knowledge on the issues. In this paper, we analyse the level of university–industry collaboration in Malaysia. We further examine the fundamental conditions that hinder university–industry collaboration despite the government’s initiatives to improve such linkages. We show that the low collaboration  is a result of an R&D gap between the entities. While the universities engage in basic and fundamental R&D, the private sectors involved in incremental innovation that requires less R&D investments. The different nature of the industries’ R&D requires closer cooperation between firms namely buyers, suppliers and technical service providers and not the universities. Among others, the lack of an intermediary role, absorptive capacity and collaborative initiative by the industry also contribute to the problem. The study suggests that the collaborative activities can benefit both if deliberate and effective efforts on reducing the R&D mismatch are made between the universities and industry. Likewise, proper institutional arrangements in coordinating these activities are required. This result seems to reflect the nature of many developing countries’ national innovation systems, and therefore, lessons from Malaysia may serve as a good case study.

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Fußnoten
1
Extension of the triple helix concept by adding another dimension, society.
 
2
Based on a university researcher survey by the National Science and Innovation Council in 2012.
 
3
Please refer to Perkmann et al. (2013) for a complete review on the determinants of university–industry relationships.
 
4
Creative productivity measures the new product creation, patent applications, patent approved, completed research projects, achievements and awards in R&D, paper publications, designed R&D projects, presentation of research outcome to professional and special interest groups.
 
5
Cohen and Levinthal (1989, 1990) use R&D investment as a proxy to measure absorptive capacity. Our measures are more appropriate in the context of developing country since the measure takes into account different items and does not solely depend only on R&D investment. Indeed, process innovation or incremental innovation does not require sufficient R&D investments (Rasiah 1994).
 
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Metadaten
Titel
Innovation systems in Malaysia: a perspective of university—industry R&D collaboration
verfasst von
V. G. R. Chandran
Veera Pandiyan Kaliani Sundram
Sinnappan Santhidran
Publikationsdatum
01.08.2014
Verlag
Springer London
Erschienen in
AI & SOCIETY / Ausgabe 3/2014
Print ISSN: 0951-5666
Elektronische ISSN: 1435-5655
DOI
https://doi.org/10.1007/s00146-013-0468-9

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