Title: A hybrid method to predict scenarios in the Japanese software industry

Authors: Yasuo Kadono

Addresses: Tokyo University of Technology, 1404-1 Katakura-cho, Hachioji, Tokyo 192-0982, Japan

Abstract: In this paper we investigate the potential to predict future scenarios in the Japanese software industry, making use of a hybrid method: that is, we try to develop a new research framework by integrating data obtained from large-scale fact-finding surveys, statistical analyses based on dynamic modelling, and simulations. On this basis, we suggest guidelines for a global technology strategy for Japan's software industry, with a view to winning a sustainable competitive advantage. Also, it should be possible to develop evidence-based visualisations of industry growth scenarios by integrating intellectual instruments such as management theory, research surveys, statistics, and simulations.

Keywords: software engineering capabilities; innovation; learning; social surveys; statistical analysis; agent-based systems; multi-agent systems; MAS; modelling; Japan; scenario prediction; software industry; dynamic modelling; simulation; visualisation; industry growth; software development.

DOI: 10.1504/IJIL.2015.067411

International Journal of Innovation and Learning, 2015 Vol.17 No.2, pp.254 - 261

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 08 Feb 2015 *

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