A hybrid method to predict scenarios in the Japanese software industry

Yasuo Kadono

International Journal of Innovation and Learning, 2015, vol. 17, issue 2, 254-261

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. (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijilea:v:17:y:2015:i:2:p:254-261

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