Abstract
In order to aim for a deeper understanding of the complex and multifaceted issues in Japan’s information service industry, we try to develop an integrated approach of data obtained from issue-oriented large-scale fact-finding surveys, statistical analyses based on dynamic modeling, and simulations. The integrated approach should be possible to develop evidence-based visualization of industry growth scenarios by integrating intellectual instruments that have hitherto evolved separately, such as social surveys, management theory, statistical analyses, and simulation models. Also, it can be developed to design plans for the management of technology as a national strategy, through visualization of a variety of scenarios, ranging from optimistic to pessimistic. And, it has potential to be expanded and generalized to illuminate any industrial sector in any country.
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Acknowledgments
The author gratefully acknowledges the insightful suggestions and constant encouragement received from Professor Takao Terano at the Tokyo Institute of Technology and warm support for statistical analyses received from Dr. Hiroe Tsubaki, president of the National Statistic Center. The author is also grateful to the Ministry of Economy, Trade and Industry (METI); the Software Engineering Center, Information-Technology Promotion Agency, Japan (IPA); Kozo Keikaku Engineering Inc.; and the Management Science Institute Inc. (MSI); the thoughtful experts in academic, business, and governmental circles in Japan and the United States who have shared their concerns and problems with the author; and of a number of supportive respondents to the large-scale surveys we conducted. Additionally, this research was partially supported by grants-in-aid for scientific research from the Japan Society for the Promotion of Science (JSPS; B:20310090; C:24530497; C:15K03634).
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Kadono, Y. (2018). Consideration on an Integrated Approach to Solving Industrial Issues Through Surveys, Statistics, and Simulations. In: Kurahashi, S., Takahashi, H. (eds) Innovative Approaches in Agent-Based Modelling and Business Intelligence. Agent-Based Social Systems, vol 12. Springer, Singapore. https://doi.org/10.1007/978-981-13-1849-8_8
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