基于前景理论和VIKOR法的技术竞争情报选择研究
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摘要
【目的/意义】数字经济时代形成了新的技术竞争格局,技术创新已经成为企业获取竞争优势的关键,研究技术竞争情报评价优选对企业战略规划、研发管理等方面有着重要意义。【方法/过程】本文将技术竞争情报评价指标体系分为价值、质量和效果三方面,并提出了前景理论和VIKOR法相结合的多属性评选方法。【结果/结论】前景理论和VIKOR法是一种有效的多属性评价方法,具有可靠性和稳定性以及防止逆序的产生的筛选优势,在情报、项目等方面具有广泛的应用前景,可以应用到其他领域。
【Purpose/significance】The digital economy has formed a new pattern of competition, and technological innovation has become the key to competitive advantage. It is very important to research the technology of competitive intelligence optimization of enterprise strategic planning and development management etc.【Method/process】For the optimization of scientific and reliable information from the diversified technology in competitive intelligence, this paper through the frequency statistics, the establishment of three high frequency factor, and using principal component analysis method, the evaluation index system of competitive technical intelligence value, quality and effect is divided into three aspects, and puts forward the multi attribute selection method combining theory and Prospect VIKOR method.【Results/conclusion】The results show that the prospect theory and the VIKOR method is an effective method for multi attribute evaluation. It has wide application prospect in information as well as the advantages of high reliability, stability and prevent the reverse selection advantage, which can be applied to other areas.
【Purpose/significance】The digital economy has formed a new pattern of competition, and technological innovation has become the key to competitive advantage. It is very important to research the technology of competitive intelligence optimization of enterprise strategic planning and development management etc.【Method/process】For the optimization of scientific and reliable information from the diversified technology in competitive intelligence, this paper through the frequency statistics, the establishment of three high frequency factor, and using principal component analysis method, the evaluation index system of competitive technical intelligence value, quality and effect is divided into three aspects, and puts forward the multi attribute selection method combining theory and Prospect VIKOR method.【Results/conclusion】The results show that the prospect theory and the VIKOR method is an effective method for multi attribute evaluation. It has wide application prospect in information as well as the advantages of high reliability, stability and prevent the reverse selection advantage, which can be applied to other areas.
引文
1 Aslton W B;Klavans,.A.Keeping abreast of science and technology:technical intelligence for business[M].Columbus,Ohio:Battelle Pr-ess,1997.
2 Coburn M M.Competitive Technical Intelligence:A Guide to Design,Analysis,and Action[M].Oxford:Oxford University Press,1999.
3 李艳,赵新力,齐中英.技术竞争情报的现状分析[J].情报学报,2006,25(2):242-253.
4 Colakoglu T.The Problematic Of Competitive Intelligence:How To Evaluate Develop Com-petitive Intelligence?[J].Procedia Social and Behavioral Sciences,2011,(24):1615-1623.
5 Lubica?tefániková,MasárováG.The Need of Complex Competitive Intelligence[J].Procedia Social and Behavioral Sciences,2014,(110):669-677.
6 谢定华,刘慧,李宁霞.基于DHGF算法的情报价值评价研究[J].情报杂志,2010,29(S1):150-152.
7 张志千,赵继伦.企业竞争情报成果模糊综台评价研究[J].图书情报工作,2014,58(4):53-58.
8 王磊,唐永林.基于钻石理论的区域竞争情报评价指标体系[J].情报杂志,2008,27(2):43-45.
9 曹玉婷,张忠榕,林甫.基于双钻石模型的产业竞争情报分析框架研究[J].情报探索,2015,(12):20-25.
10 钟华,汪凌勇.DEA方法在企业竞争情报分析中的应用研究[J].情报杂志,2007,26(12):29-30.
11 方曦,李治东,熊焰,等.基于模糊VIKOR法的企业决策情报评价及应用[J].情报理论与实践,2015,38(3):49-52.
12 沈平康,江文奇.基于FVIKOR的企业竞争情报评价及应用[J].情报杂志,2014,33(9):22-26.
13 赵洁.Web竞争情报可信性评价:问题分析与研究框架[J].情报学报,2010,29(4):586-596.
14 宋杰鲲.企业情报竞争力评价模型研究[J].情报理论与实践,2011,34(7):17-21.
15 周慧妮,江文奇.基于前景理论和VIKOR的营销竞争情报评价研究[J].情报杂志,2015,34(10):16-21.
16 李志男,夏勇其,翟杨.技术转移过程中的竞争情报架构与常用指标体系研究[J].情报理论与实践,2015,38(12):108-110.
17 苏新宁.网络环境下竞争情报系统设计[J].情报理论与实践,2010,33(8):104-108.
18 冯维扬.竞争情报质量评价方法研究[J].情报理论与实践,2008,31(5):649-653.
19 侯丽.基于决策的情报系统评价指标体系构建[J].情报理论与实践,2009,32(1):105-108.
20 张翠英,张静.灰色模糊评价法在竞争情报系统绩效评价中的应用[J].情报科学,2010,28(1):81-85.
21 Rouhani S,Ghazanfari M,Jafari M.Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS[J].Expert Systems with Applications,2012,39(3):3764-3771.
22 Kim Y,Chung E S.Fuzzy VIKOR approach for assessing the vulnerability of the water supply to climate change and variability in South Korea[J].Applied Mathematical Modelling,2013,37(22):9419-9430.
23 龚承柱,李兰兰,卫振锋,等.基于前景理论和隶属度的混合型多属性决策方法[J].中国管理科学,2014,22(10):122-128.
24 李庆胜,刘思峰,方志耕.基于前景理论的随机多属性VIKOR决策方法[J].计算机工程与应用,2012,48(30):1-4.
25 Opricovic S,Tzeng G H.Compromise solution by MCDM methods:A comparative analysis of VIKOR and TOPSIS[J].European Journal of Operational Research,2004,156(2):445-455.
26 由丽萍,王嘉敏.基于情感分析和VIKOR多属性决策法的电子商务顾客满意感测度[J].情报学报,2015,34(10):1098-1110.
2 Coburn M M.Competitive Technical Intelligence:A Guide to Design,Analysis,and Action[M].Oxford:Oxford University Press,1999.
3 李艳,赵新力,齐中英.技术竞争情报的现状分析[J].情报学报,2006,25(2):242-253.
4 Colakoglu T.The Problematic Of Competitive Intelligence:How To Evaluate Develop Com-petitive Intelligence?[J].Procedia Social and Behavioral Sciences,2011,(24):1615-1623.
5 Lubica?tefániková,MasárováG.The Need of Complex Competitive Intelligence[J].Procedia Social and Behavioral Sciences,2014,(110):669-677.
6 谢定华,刘慧,李宁霞.基于DHGF算法的情报价值评价研究[J].情报杂志,2010,29(S1):150-152.
7 张志千,赵继伦.企业竞争情报成果模糊综台评价研究[J].图书情报工作,2014,58(4):53-58.
8 王磊,唐永林.基于钻石理论的区域竞争情报评价指标体系[J].情报杂志,2008,27(2):43-45.
9 曹玉婷,张忠榕,林甫.基于双钻石模型的产业竞争情报分析框架研究[J].情报探索,2015,(12):20-25.
10 钟华,汪凌勇.DEA方法在企业竞争情报分析中的应用研究[J].情报杂志,2007,26(12):29-30.
11 方曦,李治东,熊焰,等.基于模糊VIKOR法的企业决策情报评价及应用[J].情报理论与实践,2015,38(3):49-52.
12 沈平康,江文奇.基于FVIKOR的企业竞争情报评价及应用[J].情报杂志,2014,33(9):22-26.
13 赵洁.Web竞争情报可信性评价:问题分析与研究框架[J].情报学报,2010,29(4):586-596.
14 宋杰鲲.企业情报竞争力评价模型研究[J].情报理论与实践,2011,34(7):17-21.
15 周慧妮,江文奇.基于前景理论和VIKOR的营销竞争情报评价研究[J].情报杂志,2015,34(10):16-21.
16 李志男,夏勇其,翟杨.技术转移过程中的竞争情报架构与常用指标体系研究[J].情报理论与实践,2015,38(12):108-110.
17 苏新宁.网络环境下竞争情报系统设计[J].情报理论与实践,2010,33(8):104-108.
18 冯维扬.竞争情报质量评价方法研究[J].情报理论与实践,2008,31(5):649-653.
19 侯丽.基于决策的情报系统评价指标体系构建[J].情报理论与实践,2009,32(1):105-108.
20 张翠英,张静.灰色模糊评价法在竞争情报系统绩效评价中的应用[J].情报科学,2010,28(1):81-85.
21 Rouhani S,Ghazanfari M,Jafari M.Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS[J].Expert Systems with Applications,2012,39(3):3764-3771.
22 Kim Y,Chung E S.Fuzzy VIKOR approach for assessing the vulnerability of the water supply to climate change and variability in South Korea[J].Applied Mathematical Modelling,2013,37(22):9419-9430.
23 龚承柱,李兰兰,卫振锋,等.基于前景理论和隶属度的混合型多属性决策方法[J].中国管理科学,2014,22(10):122-128.
24 李庆胜,刘思峰,方志耕.基于前景理论的随机多属性VIKOR决策方法[J].计算机工程与应用,2012,48(30):1-4.
25 Opricovic S,Tzeng G H.Compromise solution by MCDM methods:A comparative analysis of VIKOR and TOPSIS[J].European Journal of Operational Research,2004,156(2):445-455.
26 由丽萍,王嘉敏.基于情感分析和VIKOR多属性决策法的电子商务顾客满意感测度[J].情报学报,2015,34(10):1098-1110.