A hybrid method to predict scenarios in the Japanese software industry. (1st January 2015)

• Record Type: Journal Article
• Authors: Kadono, Yasuo
• Is Part Of: International journal of innovation and learning. Volume 17:Number 2(2015)
• Page Start: 254
• Page End: 261
• Publication Date: 2015-01-01
• Subjects: 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; Knowledge management -- Periodicals; Learning -- Periodicals; Diffusion of innovations -- Periodicals; 006.33
• DOI: 10.1504/IJIL.2015.067411
• Languages: English
• ISSNs: 1471-8197

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.