A Hybrid Method to Predict Scenarios in the Japanese Software Industry
Yasuo Kadono ()
Additional contact information
Yasuo Kadono: Ritsumeikan University Graduate School of Technology Management
Chapter 8 in Management of Software Engineering Innovation in Japan, 2015, pp 147-153 from Springer
Abstract:
Abstract In Chap. 8 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 issue-oriented large-scale fact-finding surveys, statistical analyses based on dynamic modeling, 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 visualizations of industry growth scenarios by integrating intellectual instruments such as management theory, research surveys, statistics, and simulations.
Keywords: IT management; Empirical study; Future scenario; Simulation; Software engineering capabilities; Innovation; learning; Social survey; Statistical analysis; Agent-based modeling (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-4-431-55612-1_8
Ordering information: This item can be ordered from
http://www.springer.com/9784431556121
DOI: 10.1007/978-4-431-55612-1_8
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().