Treffer: Effect of a Regional-Industrial Promotion Policy through Open Innovation -- Analysis of Effects of Open Source Software in Japanese IT Companies' Business Growth, with Special Reference to the "Region".

Traditional regional-industrial promotion policies in Japan have mainly been based on the cluster theory presented by Porter (1998). On the other hand, owing to the rapid development of information technologies, networks linking business enterprises with each other and outside resources have progressed significantly. Even the field of research and development is now open to the world and connected with external resources, a concept similar to the "Open Innovation" theory put forward by Chesbrough (2009). In response, Matsue City, a typical peripheral region in Japan, has proposed a regional industry promotion project since 2006 built around the open source programming language Ruby, not by forming a regional industry cluster but by organizing a cooperation that extends beyond regional borders. In this paper, we regard this regional IT industry promotion policy by Matsue City, as a process of advancing Open Innovation in local area. We analyze how OSS effects Japanese IT companies' business growth both through simple use and by deeper engagement as a stakeholder in OSS community, with special reference to the "Region". Result of the questionnaire survey to IT companies in Japan, it has become clear that industrial promotion policy by local government advances the practical use of OSS and contribution to OSS communities. At the same time, it is supposed that a regional-industry policy has not affected the indicators of business growth yet. [ABSTRACT FROM AUTHOR]

Copyright of Proceedings of the International Conference on Application of Information & Communication Technology & Statistics in Economy & Education is the property of Proceedings of the International Conference on Application of Information & Communication Technology and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)