By analyzing the core function of knowledge in techno-innovation, the inter-transformation of knowledge-information-knowledge is upheld as its micro-mechanism and information is taken as the carrier of interaction among agents to construct paradigm for techno-innovation research. In terms of research object and scape, theory analysis framework, and concept hierarchies, the cognitive and directive functions of the techno-innovation research paradigm are illustrated based on knowledge space-time. Firstly, the uniform knowledge space-time based on fractal as the research object and scope of techno-innovation. Furthermore, in the perspective of knowledge space-time, the benchmark in which features of knowledge space-time and information flow are correlated is established and the applications of tensor analysis-the basic analyzing tool in techno-innovation are probed into, it leads to the construction of theory analysis framework. In the end, the organization and expansion of the correlative concept hierarchies are dedicated, therefore, it could form a concept system of logical consistency. Finally, a relatively uniform platform to syncretize various studies on techno-innovation is provided.
Key words
techno-innovation /
knowledge space-time /
information (flow) theory analysis framework /
concept hierarchy
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
References
[1] Nelson, R. R. 1996. The sources of economic growth [M]. Cambridge, MA: Harvard University Press.
[2] Gassmann, O., E. Enkel & H. Chesbrough. 2010. The future of open innovation [J]. R&D Management, 40 (3): 213-221.
[3] Kuhn, T. 1962. The structure of science revolution [M]. Chicago: The University of Chicago Press.
[4] Arrow, K. J. 1994. Methodological individualism and social knowledge [J]. American Economics Review, 84(2): 1-9.
[5] 叶初升. 寻求发展理论的微观基础: 兼论发展经济学理论范式的形成[J]. 中国社会科学, 2005(4): 29-40.Ye, C. S. 2005. Search micro-foundation for development theory: On the formation of paradigm for development economics [J]. China Social Sciences, (4): 29-40
[6] Kretschmer, T. & P. Puranam. 2008. Integration Through Incentives Within Differentiated Organizations [J]. Organization Science, 19 (6): 860-75.
[7] Foster, J.. 2011. Evolutionary macroeconomics: a research agenda [J]. Journal of Evolutionary Economics, 21 (1): 5-28.
[8] Dolfsma, W.. 2010. Social systems evolving: reviewing Leydesdorff's the knowledge-based economy [J]. Journal of Evolutionary Economics, 20 (2): 313-19.
[9] Hayek, F. A. 1945. The use of knowledge in society [M]. in Hayek, F. A. 1948. Individualism and economic order [M]. Chicago: The University of Chicago Press.
[10] Drucker, P. F. 1999. Management challenges for the 21st century [M]. New York: Harper Business.
[11] Samuelson, L. 2004. Modeling knowledge in economics analysis [J]. Journal of Economic Literature, 42 (2): 367-403.
[12] Sturm, H., F. Wolter & M. Zakharyaschev. 2002. Common knowledge and quantification [J]. Economic Theory. 19: 157-86.
[13] Powell, W. W. & K. Snellman. 2004. The knowledge economy [J]. Annu. Rev. Sociol., 30: 199-220.
[14] Nelson, R. R. & S. G. Winter. 1982. An evolutionary theory of economic change [M]. Cambridge, MA: Harvard University Press.
[15] Nonaka, I. & G. von Krogh. 2009. Tacit knowledge and knowledge conversion: Controversy and advancement in organizational knowledge creation theory [J]. Organization Science, 20 (3): 635-52.
[16] 蒋军锋, 党兴华, 刘兰剑. 基于现代场理论的技术创新网络知识时空测度特征研究[J]. 中国软科学, 2007(3): 22-29Jiang, J. F., X. H. Dang & L. J. Liu. 2007. Research on characters of measurement of techno-innovation network knowledge based on modern field theorem [J]. China Soft Science, (3): 22-29.
[17] Cowan, R. & N. Jonard. 2004. Network structure and the diffusion of knowledge [J]. Journal of Economic Dynamics & Control, 28: 1557-75.
[18] 蒋军锋, 党兴华. 基于张量分析的知识度规与信息流关系模型[J].管理科学学报, 2008,11(2): 27-34, 79.Jiang, J. F. & X. H. Dang. 2008. Modeling the relationship between measurement gauge of knowledge and information flow based on tensor analysis [J]. Journal of Management Sciences in China, 11 (2): 27-34, 79.
[19] Gulati, R. 1998. Alliance and network [J]. Strat. Memt. J., 19: 293-317.
[20] Rothwell, R. 1994. Towards the fifth-generation innovation process [J]. International Marketing Review, 11(1): 7-31.
[21] Assis, J. A. B.. 2003. External linkages and technological innovation: (some) Topical issues [J]. Int. J. Entrepreneurship and Innovation Management, 3 (2/3): 151-175.
[22] Boccara, N. and I. NetLibrary. 2004. Modeling complex system [M], Berlin: Spinger,-Verlag GmbH & Co. KG..
[23] Hartmann-Sonntag, I. 2004. Modeling self-organization and innovation process in networks [Z]. ArXIV: cond-mat: 040645 Vol.18, Jun.
[24] Sinha, K. K. & A. H. Van de Ven. 2005. Designing work within and between organizations [J]. Orga. Sci., 16 (4): 389-408.
[25] Butler, R. J., D. H. R. Price, P. D. Coates & R. H. Pike. 1998. Organizing for innovation: Loose or tight control? [J]. Long Range Planning, 31(5): 775-82.
[26] 蒋军锋. 基于分形的技术创新网络结构的遗传与变异模型: 时间与层次统一视角的考察 [J]. 系统工程理论与实践, 2009,29(8):91-101.Jiang, J. F. 2009. Modeling the inheritance and variation based on the fractal for techno-innovation network structure: viewpoint of integrating time with hierarchy [J]. System Engineering: Theory & Practice, 29 (8): 91-101.
[27] 钱颖一. 理解现代经济学[J], 经济社会体制比较, 2002(2):1-12.Qian, Y. Y. 2002. Understand the modern Economics [J]. Comparison of Economic Social System, 2: 1-12.
[28] Herrmann-Pillath. 2001. On the ontological foundations of evolutionary economics [M]. Edited by Kurt Dopfer, Evolutionary Economics: Program and Scope [M]. London: Kluwer Academic Publishers.
[29] 蒋军锋. 基于规范场理论的技术创新网络知识时空测度[J]. 管理科学, 2008,21(5):2-10.Jiang J F. 2008. Measurement of knowledge space-time inherent in the techno-innovation network based on Gauge Field theorem [J]. Journal of Management Sciences, 21 (5): 1-10.
[30] 侯伯元, 侯伯宇. 物理学家用微分几何(第二版)[M]. 北京:科学出版社,2004.Hou B. Y. & B. Y. Hou. 2004. Difference geometry for Physicist [M]. 2nd Edition. Beijing: Science Press.
[31] Debreu, G. 1991. The mathematization of economic theory [J]. American Economic Review, 81: 1-7.
PDF(1195 KB)
