Study on the evolution and diffusion models of technological innovation system based on self-organization theory
There are complex characteristic of openness, dynamic, nonlinearity, fluctuation and indetermination in the technological innovation system. From the perspective of system theory this paper illuminates the self-organization characteristics of technological innovation system and analyzes the self-org...
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| creator | Li Rui Ju Xiao-feng |
| description | There are complex characteristic of openness, dynamic, nonlinearity, fluctuation and indetermination in the technological innovation system. From the perspective of system theory this paper illuminates the self-organization characteristics of technological innovation system and analyzes the self-organization mechanisms of the innovation process and characteristics of instability, the multiplicity (branch), the sudden change and stochastic ldquothe fluctuationrdquo and constructs the self-organization process model of technological innovation and diffusion then carries on the confirmation with statistical software to the model fitting degree and the model parameters, using the data of China communication market, obtains the quite satisfied result. These models have realized the integration of the natural sciences and the social sciences, and developed a new method for studying on the evolution and diffusion process of the technological innovation system. |
| doi_str_mv | 10.1109/ICMSE.2009.5317950 |
| format | Conference Proceeding |
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From the perspective of system theory this paper illuminates the self-organization characteristics of technological innovation system and analyzes the self-organization mechanisms of the innovation process and characteristics of instability, the multiplicity (branch), the sudden change and stochastic ldquothe fluctuationrdquo and constructs the self-organization process model of technological innovation and diffusion then carries on the confirmation with statistical software to the model fitting degree and the model parameters, using the data of China communication market, obtains the quite satisfied result. These models have realized the integration of the natural sciences and the social sciences, and developed a new method for studying on the evolution and diffusion process of the technological innovation system.</description><identifier>ISSN: 2155-1847</identifier><identifier>ISBN: 9781424439706</identifier><identifier>ISBN: 1424439701</identifier><identifier>EISBN: 142443971X</identifier><identifier>EISBN: 9781424439713</identifier><identifier>DOI: 10.1109/ICMSE.2009.5317950</identifier><identifier>LCCN: 2009900985</identifier><language>eng</language><publisher>IEEE</publisher><subject>Conference management ; diffusion model ; Engineering management ; Environmental economics ; Evolution (biology) ; evolution model ; Fluctuations ; Innovation management ; Intellectual property ; self-organization ; Technological innovation ; Technology management</subject><ispartof>2009 International Conference on Management Science and Engineering, 2009, p.1608-1614</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5317950$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5317950$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Li Rui</creatorcontrib><creatorcontrib>Ju Xiao-feng</creatorcontrib><title>Study on the evolution and diffusion models of technological innovation system based on self-organization theory</title><title>2009 International Conference on Management Science and Engineering</title><addtitle>ICMSE</addtitle><description>There are complex characteristic of openness, dynamic, nonlinearity, fluctuation and indetermination in the technological innovation system. From the perspective of system theory this paper illuminates the self-organization characteristics of technological innovation system and analyzes the self-organization mechanisms of the innovation process and characteristics of instability, the multiplicity (branch), the sudden change and stochastic ldquothe fluctuationrdquo and constructs the self-organization process model of technological innovation and diffusion then carries on the confirmation with statistical software to the model fitting degree and the model parameters, using the data of China communication market, obtains the quite satisfied result. These models have realized the integration of the natural sciences and the social sciences, and developed a new method for studying on the evolution and diffusion process of the technological innovation system.</description><subject>Conference management</subject><subject>diffusion model</subject><subject>Engineering management</subject><subject>Environmental economics</subject><subject>Evolution (biology)</subject><subject>evolution model</subject><subject>Fluctuations</subject><subject>Innovation management</subject><subject>Intellectual property</subject><subject>self-organization</subject><subject>Technological innovation</subject><subject>Technology management</subject><issn>2155-1847</issn><isbn>9781424439706</isbn><isbn>1424439701</isbn><isbn>142443971X</isbn><isbn>9781424439713</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kN9KwzAUxiM6cJt7Ab3JC7TmpEnTXEqZOph4MQXvRtYkW6RtRtMO6tPbunngcPjB-b7zB6F7IDEAkY-r_G2zjCkhMuYJCMnJFZoBo4wlUsDXNVpIkf0zSW_QlALnEWRMTNBs1MkhM36LFiF8kyEYpyKFKTpu2k732Ne4PRhsTr7sWjeQqjXWztoujFR5bcqAvcWtKQ61L_3eFarErq79Sf0JQh9aU-GdCkaPdsGUNvLNXtXu59wxDPBNf4cmVpXBLC51jj6flx_5a7R-f1nlT-vIgeBtJCzRwEFomuoiSwQA43rYGMBapUEVhDNrGCF2uEvZ3a7glCgrAZIUFOXJHD2cfZ0xZntsXKWafnv5XvILaHVhXg</recordid><startdate>200909</startdate><enddate>200909</enddate><creator>Li Rui</creator><creator>Ju Xiao-feng</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200909</creationdate><title>Study on the evolution and diffusion models of technological innovation system based on self-organization theory</title><author>Li Rui ; Ju Xiao-feng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-7f0d1517d26dc8371145d76111ffad1ac054fe400f098afbbc520af911361a253</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Conference management</topic><topic>diffusion model</topic><topic>Engineering management</topic><topic>Environmental economics</topic><topic>Evolution (biology)</topic><topic>evolution model</topic><topic>Fluctuations</topic><topic>Innovation management</topic><topic>Intellectual property</topic><topic>self-organization</topic><topic>Technological innovation</topic><topic>Technology management</topic><toplevel>online_resources</toplevel><creatorcontrib>Li Rui</creatorcontrib><creatorcontrib>Ju Xiao-feng</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Li Rui</au><au>Ju Xiao-feng</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Study on the evolution and diffusion models of technological innovation system based on self-organization theory</atitle><btitle>2009 International Conference on Management Science and Engineering</btitle><stitle>ICMSE</stitle><date>2009-09</date><risdate>2009</risdate><spage>1608</spage><epage>1614</epage><pages>1608-1614</pages><issn>2155-1847</issn><isbn>9781424439706</isbn><isbn>1424439701</isbn><eisbn>142443971X</eisbn><eisbn>9781424439713</eisbn><abstract>There are complex characteristic of openness, dynamic, nonlinearity, fluctuation and indetermination in the technological innovation system. From the perspective of system theory this paper illuminates the self-organization characteristics of technological innovation system and analyzes the self-organization mechanisms of the innovation process and characteristics of instability, the multiplicity (branch), the sudden change and stochastic ldquothe fluctuationrdquo and constructs the self-organization process model of technological innovation and diffusion then carries on the confirmation with statistical software to the model fitting degree and the model parameters, using the data of China communication market, obtains the quite satisfied result. These models have realized the integration of the natural sciences and the social sciences, and developed a new method for studying on the evolution and diffusion process of the technological innovation system.</abstract><pub>IEEE</pub><doi>10.1109/ICMSE.2009.5317950</doi><tpages>7</tpages></addata></record> |
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| ispartof | 2009 International Conference on Management Science and Engineering, 2009, p.1608-1614 |
| issn | 2155-1847 |
| language | eng |
| recordid | cdi_ieee_primary_5317950 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Conference management diffusion model Engineering management Environmental economics Evolution (biology) evolution model Fluctuations Innovation management Intellectual property self-organization Technological innovation Technology management |
| title | Study on the evolution and diffusion models of technological innovation system based on self-organization theory |
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