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The Resource Management of Software Engineering Innovation in Japan

Management of Software Engineering Innovation in Japan

Label
Management of Software Engineering Innovation in Japan
Title
Management of Software Engineering Innovation in Japan
Creator
Subject
Language
eng
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Management of Software Engineering Innovation in Japan
Label
Management of Software Engineering Innovation in Japan
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=4178998
Publication
Copyright
Related Contributor
Related Location
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Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface -- Contents -- About the Author -- Chapter-1 -- Introduction to Software Engineering Innovation in Japan -- 1.1 Motivation -- 1.2 Literature Review -- 1.2.1 Information Service Industry in Japan -- 1.2.1.1 Market Size and History -- 1.2.1.2 Government Policy -- 1.2.1.3 Industry Structure -- 1.2.2 Innovation in the Software Industry -- 1.2.2.1 Issues of Software Innovation in Japan -- 1.2.2.2 Innovation Differences between Japan and the U.S. -- 1.2.2.3 Innovation Types -- 1.2.3 Research Approach -- 1.2.3.1 The Resource-Based View -- 1.2.3.2 Software Engineering Relevant Disciplines -- 1.2.3.3 Measurement Models -- 1.3 Research Objectives -- 1.4 Overview of the Book -- References -- Part I -- Industry and Software Engineering Capabilities from Surveys and Statistical Analyses -- Chapter 2 -- The Surveys on Software Engineering Excellence -- 2.1 Structural Model and Research Question -- 2.2 Measurement Model and Literature Review -- 2.3 Software Engineering Excellence (SEE) Surveys -- 2.3.1 Conduct of the SEE Surveys -- 2.3.2 Calculation Results of SEE -- 2.4 Key Findings of SEE Surveys -- 2.4.1 Responses to Questionnaires on SEE -- 2.4.2 Responses to Questionnaires on Business Environment -- 2.4.3 Implications from SEE Relating Analyses -- References -- Chapter 3 -- Statistical Analysis Results and Practical Implications of the SEE Surveys -- 3.1 Base Model and Cross-Section Analysis Results -- 3.1.1 Base Model and Hypothesis -- 3.1.2 Analysis Results and Implications -- 3.2 Differences by Vendor Type -- 3.2.1 Manufacturer Spin-off Vendors -- 3.2.2 User Spin-off Vendors -- 3.2.3 Independent Vendors -- 3.2.4 Discussion -- 3.3 Panel Analysis Results of Software Engineering Capabilities -- 3.3.1 Model and Hypothesis -- 3.3.2 Analysis Results and Implications -- 3.3.3 Additional Analysis Results for Independent Vendors -- 3.3.4 Discussion
  • 3.4 Results of Aggregation Analysis of Software Engineering Capabilities -- 3.4.1 Research Model -- 3.4.2 Analysis Results -- 3.4.3 Implications -- 3.5 Long-term Relationships among Software Engineering Capabilities and Business Performance -- 3.5.1 Long-Term Relationships between SEE and Profitability -- 3.5.1.1 Model and Hypothesis -- 3.5.1.2 Analysis Results -- 3.5.1.3 Implications and Discussion -- 3.5.2 Long-Term Relationships among SEE factors and Business Performance -- 3.5.2.1 Research Model and Hypothesis -- 3.5.2.2 Analysis Results -- 3.5.3 Discussion -- 3.6 Effects of Business Environment on Software Engineering Capabilities and Business Performance -- 3.6.1 Research Model and Hypothesis -- 3.6.2 Implications -- 3.7 Lessons Learned from the Analysis Results -- 3.7.1 Summary of Statistical Analysis Results -- 3.7.2 Implications for Technological Innovation and Industry Policy -- 3.7.3 Limitations and Future Research -- References -- Part II -- Research Relevant to Managing Innovation in Software Engineering in the Broader Sense -- Chapter-4 -- A Study into Characteristics of Software Vendors in Japan from a Competitive Environment and Resource-Based Viewpoint -- 4.1 Introduction -- 4.2 Research Method -- 4.3 Surveys of the Software Industry in Japan -- 4.4 Analysis, Results, and Discussion -- 4.5 Conclusions and Future Work -- References -- Chapter-5 -- IT Management Effectiveness: An Empirical Study in Japanese Companies -- 5.1 Introduction -- 5.2 Research Methods -- 5.2.1 Structural Model and Hypotheses -- 5.2.2 Outline of the Measurement Model -- 5.2.3 Outline of the Survey -- 5.3 Derivation of Primary Indicators and Confirmation of Structural Model -- 5.3.1 Process of Measuring Indicators -- 5.3.2 Results of Hypotheses Testing for the Structural Model -- 5.3.3 Conclusions of the Analyses -- 5.4 Derivation of Overall Performance Measures
  • 5.5 Conclusions and Future Work -- References -- Chapter-6 -- Social Research on IT Management Innovation Towards Service Science and Science for Society -- 6.1 Introduction -- 6.2 Design of Social Research Scheme for IT Management -- 6.3 Methods -- 6.4 Benefits from the New Social Research Scheme -- 6.5 Conclusions and Future Work -- References -- Chapter-7 -- Agent-Based Modeling of the Software Industry Structure in Japan: Preliminary Consideration of the Influence of Offshoring in China -- 7.1 Introduction -- 7.2 Objectives and Method -- 7.3 Simulation Model -- 7.3.1 Agents and Parameters -- 7.3.2 Algorithm -- 7.3.3 Simulation Conditions and Parameters -- 7.4 Results -- 7.5 Conclusions and Discussion -- References -- Part III -- Epilogue -- Chapter-8 -- A Hybrid Method to Predict Scenarios in the Japanese Software Industry -- 8.1 Introduction -- 8.2 Large-Scale Fact-Finding Surveys on Software Engineering Capabilities in Japan -- 8.3 Results of Statistical Analyses of Relationship Between Software Engineering Capabilities and Business Performance -- 8.4 New Research Framework to Predict Future Scenarios -- 8.5 Conclusions and Future Work -- References -- Appendix: Results on Software Engineering Survey -- Index
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{'f': 'http://opac.lib.rpi.edu/record=b4391091'}
Extent
1 online resource (177 pages)
Form of item
online
Isbn
9784431556121
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

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