基于关系整合的企业合作分析方法研究——以LED领域上市公司为例
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摘要
[目的/意义]合作与竞争永远是企业间博弈的旋律之一,也是竞争情报研究的主要内容之一。有效识别企业间合作关系将有助于人们更加准确地把握企业间的合作关系。[方法/过程]文章通过建立合作关系识别指标体系,从技术和市场两个角度识别企业间的合作关系,并通过赋权将其整合到一起,从而更加全面、有效发现企业间的合作关系。[结果/结论]LED产业应用分析验证了文章所提出方法的实用性。[局限]研究结论需更多领域的实证研究进行验证,同时合作分析中需要考虑纳入更多合作类型的数据。
[Purpose/significance] Collaboration and competition have always been the game among enterprises,as well as the theme of competitive intelligence research. Effectively identifying the collaborative relationship among enterprises is helpful for the cooperation among enterprises. [Method/process] This paper establishes the collaborative relationship identification index system from the angles of technology and marketing,and integrates them together by weighting method in order to find the collaborative relationship more comprehensively and effectively. [Result/conclusion]The result of the empirical study validates the feasibility of the method proposed. [Limitations]More empirical studies are needed to test the reliability of the results,and more data from other types of collaboration should be included in the index system.
[Purpose/significance] Collaboration and competition have always been the game among enterprises,as well as the theme of competitive intelligence research. Effectively identifying the collaborative relationship among enterprises is helpful for the cooperation among enterprises. [Method/process] This paper establishes the collaborative relationship identification index system from the angles of technology and marketing,and integrates them together by weighting method in order to find the collaborative relationship more comprehensively and effectively. [Result/conclusion]The result of the empirical study validates the feasibility of the method proposed. [Limitations]More empirical studies are needed to test the reliability of the results,and more data from other types of collaboration should be included in the index system.
引文
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[9]陈卫静,郑颖.基于作者关键词耦合的潜在合作关系挖掘[J].情报杂志,2013,32(5):127-131.
[10]梁子豪,郑彦宁,刘志辉,等.基于专利数据的专利权人竞合关系分析[J].情报理论与实践,2016,39(2):102-107.
[11]蒋君,凌锋,刘会景,等.基于专利法律状态信息分析的企业技术转移关系研究——以胰岛素为例[J].情报杂志,2014(10):96-100.
[12]张娴,许海云,方曙,等.专利技术组合机会与合作潜力研究[J].情报杂志,2015(7):39-46.
[13]温芳芳.基于社会网络分析的专利合作模式研究[J].情报杂志,2013(7):119-123.
[14]HOEKMAN J,FRENKEN K,OORT F.The geography of collaborative knowledge production in Europe[J].Kites Working Papers,2009,43(3):721-738.
[15]MEHTA M,FAIRMAN R M,DEATON D H.Commonalities and differences between scholarly and technical collaboration[J].Scientometrics,2004,61(3):443-456.
[16]甄灵敏,杨晓春,王斌,等.基于属性权重的实体解析技术[J].计算机研究与发展,2013,50(s1):281-289.
[2]AXELROD R,DION D.The evolution of cooperation[M].New York,Busic Books,2006.
[3]COMBS J G,DAVID J,KETCHEN Jr.Explaining interfirm cooperation and performance:toward a reconciliation of predictions from the resource-based view and organizational economics[J].Strategic Management Journal,1999,20(9):867-888.
[4]LEVY M,L?BBECKE C,POWELL P.SMEs co-opetition and knowledge sharing:the IS role[C].European Conference on Information Systems,Global Co-Operation in the New Millennium,Ecis 2001,Bled,Slovenia,2001:3-17.
[5]BEAVER D B D,ROSEN R.Studies in scientific collaboration[J].Scientometrics,1979,1(2):133-149.
[6]邱均平,伍超.基于社会网络分析的国内计量学作者合作关系研究[J].图书情报知识,2011(6):12-17.
[7]ZHAO D,STROTMANN A.Evolution of research activities and intellectual influences in information science 1996-2005:introducing author bibliographic-coupling analysis[J].Journal of the American Society for Information Science&Technology,2008,59(13):2070-2086.
[8]刘志辉,张志强.作者关键词耦合分析方法及实证研究[J].情报学报,2010,29(2):268-275.
[9]陈卫静,郑颖.基于作者关键词耦合的潜在合作关系挖掘[J].情报杂志,2013,32(5):127-131.
[10]梁子豪,郑彦宁,刘志辉,等.基于专利数据的专利权人竞合关系分析[J].情报理论与实践,2016,39(2):102-107.
[11]蒋君,凌锋,刘会景,等.基于专利法律状态信息分析的企业技术转移关系研究——以胰岛素为例[J].情报杂志,2014(10):96-100.
[12]张娴,许海云,方曙,等.专利技术组合机会与合作潜力研究[J].情报杂志,2015(7):39-46.
[13]温芳芳.基于社会网络分析的专利合作模式研究[J].情报杂志,2013(7):119-123.
[14]HOEKMAN J,FRENKEN K,OORT F.The geography of collaborative knowledge production in Europe[J].Kites Working Papers,2009,43(3):721-738.
[15]MEHTA M,FAIRMAN R M,DEATON D H.Commonalities and differences between scholarly and technical collaboration[J].Scientometrics,2004,61(3):443-456.
[16]甄灵敏,杨晓春,王斌,等.基于属性权重的实体解析技术[J].计算机研究与发展,2013,50(s1):281-289.