中国企业创新影响因素研究(英文版)

Chapter 1 Exordium 1.1 Introduction 1.2 Background 1.3 Research Scope 1.4 Reference to Previous Studies on Innovation 1.5 Research Questions and Objectives 1.6 Research Methods: Case Study with Mixed Method 1.7 Value of Further Investigation of the Topic 1.8 Research Structure 1.9 Summary Chapter 2 Literature Review 2.1 Introduction 2.2 Innovation Drives Economic Growth 2.3 Theory of Innovation 2.4 Core Competenees and Innovation 2.5 R&D and Innovation 2.6 Networking and Innovation 2.7 A Company's Size and Innovation 2.8 Exports 2.9 Summary Chapter 3 Methodology 3.1 Introduction 3.2 Case Study Research Strategy 3.3 Philosophical Assumption 3.4 Pilot Study 3.5 Quantitative Method 3.6 Qualitative Research 3.7 The Mixed Method Design 3.8 Ethical Concerns 3.9 Summary Chapter 4 Innovation in Auto Manufacturing Industries: a Case Study in Jinan 4.1 Introduction 4.2 Innovation Activities in Jinan 4.3 Auto Manufacturing Industry in Jinan 4.4 Summary Chapter 5 Quantitative Research 5.1 Introduction 5.2 Framework of Innovation in Auto Manufacturing Enterprises 5.3 Questionnaire Reliability and Validity 5.4 Data Collection and Description 5.5 Quantitative Data Analysis 5.6 A Model of Innovation 5.7 Summary Chapter 6 Qualitative Research 6.1 Introduction 6.2 knowledge Context for Innovation 6.3 Qualitative Research Questions 6.4 Qualitative Data Collection 6.5 Data Description 6.6 Explore and Visualize Qualitative Data in NVivo 6.7 Outputs Presentation using Mixed Method 6.8 Summary Chapter 7 Discussion and Conclusion 7.1 Introduction 7.2 Research Questions Answered 7.3 The Contributions Made by This Book 7.4 Suggestions for Future Research Acknowledgement Appendix A Final Questionnaire （translation） Appendix B Output of Questionnaire Reliability from SPSS Appendix C Output of Questionnaire Validity from SPSS Appendix D Chi-square Distribution Table Appendix E Results of Chi-square of 252 Companies from SPSS Appendix F Results of Logistic Regression Analysis from SPSS （239 firms） Appendix G Results of Logistic Regression Analysis from SPSS （252 firms） References