基于战略对应理论的新能源电力项目适时决策研究
|
摘要
能源是关系国家经济命脉的重要战略物资,如何有效的开发利用我国潜在的各种能源,直接关乎到国民经济的发展和中国经济的增长。在进行多项目集投资决策时需实现项目目标、项目集管理目标与企业战略目标梯级协同,这就要求三个管理目标达到梯级战略对应的目的。以项目为导向的新能源电力项目要求项目目标、项目集管理目标与企业战略目标实现协同。多项目的管理要比单项目的管理更为复杂,多项目的组合不仅仅是项目间的组合,更要实现多项目组合管理目标的实现,以达到项目集管理目标与企业的战略目标间协同的目的。由于新能源电力项目所涉及的外部因素和内部因素是动态的,参与项目投资的投资人竞争性强,投资主体的投资行为影响面大、项目建设涉及地域广,这些特征给新能源电力项目的投资决策带来了困难。项目所处环境的内外部因素有些是可以量化,有些则不能,而这些因素的实时动态特性对项目决策以及信息对战略的对应性起到了决定性作用。只有当这些要素之间形成一种相互协调、和谐一致的状态时,才能满足在企业战略对应的前提下,实现项目的最优决策。
实际上新能源电力企业面临的是对不同类型的发电项目的组合管理问题。PMI在《项目组合管理标准》中提到项目组合管理必须考虑投资和战略的一致性。在此,我们定义新能源电力项目组合管理的概念为“在可利用的资源和企业战略计划的指导下,进行多个新能源电力项目或项目群投资的选择和支持”。
战略对应考虑组织某个具体工作领域的战略方向、应用目标与组织战略的方向、目标一致、协同的行为。由于新能源电力项目所涉及的外部因素和内部因素是动态的,参与项目投资的投资人竞争性强,投资主体的投资行为影响面大、项目建设涉及地域广,这些特征给新能源电力项目的投资决策带来了困难。所以本文致力于研究新能源电力项目决策的适时战略对应问题。此问题的概念可以阐述为：“在既定战略下,面对复杂多变的能源发展环境,新能源电力企业如何适时地做出战略对应的组合管理决策”。
本文第2章将着重从理论上分析适时战略对应的可行性与具体方法。第3章将分析适时战略对应的组织基础及管理模式基础。第4章着重分析如何通过对KSF的适时生成,来建立新能源电力项目组合适时战略对应决策的基础。第5章根据前述分析和信息系统原理,建立了实现相应信息系统的框架设计。第6章根据已实现的信息系统,阐述了实际应用的案例。第7章提出了结论和展望。综上,本文进行的主要工作如下：
(1)针对新能源电力项目决策时出现的问题,从全寿命周期项目组合管理的角度出发,引入实时战略对应理论,建立基于KSF (Key Success Factor,关键成功因素)的新能源电力企业项目评价体系,并将数据挖掘技术应用于KSF的实时生成中,以对新能源电力项目决策起到指导作用。
(2)将实时战略对应理论引入新能源电力项目的决策中,在各投资人利用有限的资源配置的前提下,实现了项目目标、项目集管理目标与企业战略目标的协同以及KSF之间的协调,这对新能源电力项目的决策起到了决定性作用,从而实现以创新的管理手段解决以能源项目为导向的集团发展执行力问题。根据其集团决策、分公司统筹、项目公司运营的特征,建立以决策层、管理层和执行层为架构的三层项目组合管理架构。组合管理以目标为中心,而目标的依据应该是集团战略。根据管理层的组织特征,探究分公司职能部门与项目部可能的项目目标管理交叉点,以探求有效项目组合管理模式,形成新能源发电企业组合管理模式。
(3)对新能源电力企业在企业产业结构、竞争策略、环境因素和暂时因素等方面的特点进行实际调研,得出企业成功影响因素的及其相关业务表征的原始数据。然后在其基础上,运用系统分析的方法,梳理因素间的因果链关系；并用粗糙集等方法进行因素的约简工作,进而得出一系列静态的KSF。拟在以上研究的基础上,进一步分析KSF与企业基础业务数据间的联系,为进行企业KSF实时生成研究打下基础。建立动态的KSF项目评价体系,借助管理信息系统收集各时点KSF的相关数据,根据此数据生成不同时点的KSF,进而对不同项目组合在全寿命周期中的KSF进行评价,以此评价结果作为新能源电力项目决策的依据。
(4)通过数据挖掘技术,分析企业的实时内外部条件,从而得出企业的实时KSF状态,而企业的战略目标可以通过管理信息系统前台写入,这就实现了企业战略目标与企业KSF的关联。该管理手段对由于内外部条件的变化而对决策产生巨大影响的新能源电力项目起到了指导作用,并实现了企业战略目标与项目目标的战略对应。建立了一种KSF自动生成机制,这种机制从新能源电力企业所有业务,包括项目建设、项目运营和企业总部运作等中收集实时数据,通过数据挖掘的方法,找到企业新的KSF,从而实现企业KSF变化的自动提醒。这样可以实时地根据企业战略和企业内外条件的改变更新项目决选标准,并且对决策者起到提醒变化的作用。
(5)在需求分析的基础上,提出了实时决策信息平台设计的方案,分析了系统关键成功因素,提出了系统架构,为文中建立的理论与方法提供了实现路径。针对系统需求,提出新能源电力企业的项目化业务流程重组方式。企业业务流程的重组应结合决策系统对数据入口的需求,将KSF挖掘的基础数据与项目化业务数据进行最大程度的融合。根据企业特点,考虑到系统性能需求、可维护性需求和可修改性需求,设计合理的系统架构。包括设计系统的分层模式,系统持久性存储方式和系统对象等。
Energy is a kind of important strategic material which shows great influence on the national economy. The development of potential energy directly affects the growth of Chinese economy. Along with the application of strategic rising industry policy in china's twelfth five-year plan, the amount of renewable energy power project experienced great increase. The investors are facing more and more choice of decision and portfolio in projects, and the problem of resource allocation and optimization in this procedure. Give the consideration of following elements:the dynamiccharacteristics of in-and-out influencing factors of the projects, the huge competitiveness in the investment, and the great influence of the investment in for example geo-economics, a great difficulty has risen in the investment decision of these projects. Some of the quantization of outer factors is easy, while the other is not, the timely character of which has a key influence in decision and information alignment in strategy. Only when the harmony state of these factors is achieved, can the best decision be made.
The concept of renewable energy electric power project portfolio management is defined as "in the guidance of usable resources and enterprise strategy, the processing of selection and support of the investment of projects or project groups". The concept of timely strategy alignment can be defined as "the processing of decision making of renewable electric power enterprise under certain strategy and versatile environment"
Chapter2analyzed the feasibility and methods of timely decision making. Chapter3analyzed the management model and organization foundation. Chapter4analyzed the method of making timely strategy-alignment decision-making through the mining of KSF. Chapter5made an information system plan based on the theories above. Chapter6elaborated a case based on a realized system.Based on above, the main work of this paper is as followed:
(1) As for the decision problems of renewable energy power project, from the perspective of whole lifecycle project portfolio management, a timely correspondingstrategy theory is used, and an evaluation system of renewable energy power enterprises based on KSF (Key Success Factor) is built, while also data mining technology is applied in the timely production of KSF. These results can give guidance to the decision of renewable energy power project.
(2) Timely correspondingstrategy theory is brought into the decision of renewable energy power project, thus given limited resources, investors can balance between achieving project goals, project set goals, as well as enterprise strategic objectives, while also keep harmony with KSF. Based on the group company decision, branch company planning and project company operation structure, the management achitechture of decision layer, management layer and operation layer is built. Target is the core factoer of portfolio management, which is based on group company strategy. Based on the organization charactors, the cross point of functional department of branch company and target management in project organizaton is researched, which is to achieve effective management mode of portfolio management.
(3) Dynamic KSF project evaluation system is built, and management information system is adopted to collect some data of every individual time spot, and then different time spot of KSF can be obtained, therefore we can evaluate the KSF in whole lifecycle for different project portfolios, whose evaluation results can be useful for the decision of renewable energy power project. This method plays exemplary role in enhancing the decision of renewable energy power project under multi-projectportfolios. Dynamic KSF project evaluation system is built. Relative data is built through management information system, based on which the KSF is created in different time point, so as to excute KSF evaluation on different project portfolio in the whole life-cycle. The evalution result can be used as refference to project decision.
(4) Using data mining technology, the timely internal and external conditions of enterprise can be analyzed, and the timely KSF conditions of enterprise can be obtained. Given that the strategic objectives of the enterprise can be written through the front of management information systems, so enterprisestrategic objectives are liked to enterprise KSF. This management method gives useful guidance to renewable energy power project whose decisions are greatly affected by the change of internal and external conditions, and also realizes the correspondence of enterprisestrategic objectives and project goals.The auto KSF produciton mechanism is built, which collection timely data from all business area of a renewable energy company, including projcet construction, project operation and the operation of head quarter. Achieving new KSF of a company by data mining, to realise auto alter of KSF variation. By this method, the decision standard can be timely updated based on enterprise strategy and in-and-out conditions and perform a altering funciton to decision makers.
(5) On the foundation of requirement analysis, a design scheme of timely decision-making information platform is built, and the key success factors of this system are discussed, while the system architecture is proposed. Therefore, they provides a practical path to the theory and method in this paper. The reengineering of enterprise's business process should combine with the requirments of decision system's data entrance, intergrating KSF's foundamental data with project business data in the greatest degree. According to enterprise's characters, system performance, maintainability and modifiability should be considered to design a reasonable system structure, including system's hierarchical models, persistent storage and objectives.
实际上新能源电力企业面临的是对不同类型的发电项目的组合管理问题。PMI在《项目组合管理标准》中提到项目组合管理必须考虑投资和战略的一致性。在此,我们定义新能源电力项目组合管理的概念为“在可利用的资源和企业战略计划的指导下,进行多个新能源电力项目或项目群投资的选择和支持”。
战略对应考虑组织某个具体工作领域的战略方向、应用目标与组织战略的方向、目标一致、协同的行为。由于新能源电力项目所涉及的外部因素和内部因素是动态的,参与项目投资的投资人竞争性强,投资主体的投资行为影响面大、项目建设涉及地域广,这些特征给新能源电力项目的投资决策带来了困难。所以本文致力于研究新能源电力项目决策的适时战略对应问题。此问题的概念可以阐述为：“在既定战略下,面对复杂多变的能源发展环境,新能源电力企业如何适时地做出战略对应的组合管理决策”。
本文第2章将着重从理论上分析适时战略对应的可行性与具体方法。第3章将分析适时战略对应的组织基础及管理模式基础。第4章着重分析如何通过对KSF的适时生成,来建立新能源电力项目组合适时战略对应决策的基础。第5章根据前述分析和信息系统原理,建立了实现相应信息系统的框架设计。第6章根据已实现的信息系统,阐述了实际应用的案例。第7章提出了结论和展望。综上,本文进行的主要工作如下：
(1)针对新能源电力项目决策时出现的问题,从全寿命周期项目组合管理的角度出发,引入实时战略对应理论,建立基于KSF (Key Success Factor,关键成功因素)的新能源电力企业项目评价体系,并将数据挖掘技术应用于KSF的实时生成中,以对新能源电力项目决策起到指导作用。
(2)将实时战略对应理论引入新能源电力项目的决策中,在各投资人利用有限的资源配置的前提下,实现了项目目标、项目集管理目标与企业战略目标的协同以及KSF之间的协调,这对新能源电力项目的决策起到了决定性作用,从而实现以创新的管理手段解决以能源项目为导向的集团发展执行力问题。根据其集团决策、分公司统筹、项目公司运营的特征,建立以决策层、管理层和执行层为架构的三层项目组合管理架构。组合管理以目标为中心,而目标的依据应该是集团战略。根据管理层的组织特征,探究分公司职能部门与项目部可能的项目目标管理交叉点,以探求有效项目组合管理模式,形成新能源发电企业组合管理模式。
(3)对新能源电力企业在企业产业结构、竞争策略、环境因素和暂时因素等方面的特点进行实际调研,得出企业成功影响因素的及其相关业务表征的原始数据。然后在其基础上,运用系统分析的方法,梳理因素间的因果链关系；并用粗糙集等方法进行因素的约简工作,进而得出一系列静态的KSF。拟在以上研究的基础上,进一步分析KSF与企业基础业务数据间的联系,为进行企业KSF实时生成研究打下基础。建立动态的KSF项目评价体系,借助管理信息系统收集各时点KSF的相关数据,根据此数据生成不同时点的KSF,进而对不同项目组合在全寿命周期中的KSF进行评价,以此评价结果作为新能源电力项目决策的依据。
(4)通过数据挖掘技术,分析企业的实时内外部条件,从而得出企业的实时KSF状态,而企业的战略目标可以通过管理信息系统前台写入,这就实现了企业战略目标与企业KSF的关联。该管理手段对由于内外部条件的变化而对决策产生巨大影响的新能源电力项目起到了指导作用,并实现了企业战略目标与项目目标的战略对应。建立了一种KSF自动生成机制,这种机制从新能源电力企业所有业务,包括项目建设、项目运营和企业总部运作等中收集实时数据,通过数据挖掘的方法,找到企业新的KSF,从而实现企业KSF变化的自动提醒。这样可以实时地根据企业战略和企业内外条件的改变更新项目决选标准,并且对决策者起到提醒变化的作用。
(5)在需求分析的基础上,提出了实时决策信息平台设计的方案,分析了系统关键成功因素,提出了系统架构,为文中建立的理论与方法提供了实现路径。针对系统需求,提出新能源电力企业的项目化业务流程重组方式。企业业务流程的重组应结合决策系统对数据入口的需求,将KSF挖掘的基础数据与项目化业务数据进行最大程度的融合。根据企业特点,考虑到系统性能需求、可维护性需求和可修改性需求,设计合理的系统架构。包括设计系统的分层模式,系统持久性存储方式和系统对象等。
Energy is a kind of important strategic material which shows great influence on the national economy. The development of potential energy directly affects the growth of Chinese economy. Along with the application of strategic rising industry policy in china's twelfth five-year plan, the amount of renewable energy power project experienced great increase. The investors are facing more and more choice of decision and portfolio in projects, and the problem of resource allocation and optimization in this procedure. Give the consideration of following elements:the dynamiccharacteristics of in-and-out influencing factors of the projects, the huge competitiveness in the investment, and the great influence of the investment in for example geo-economics, a great difficulty has risen in the investment decision of these projects. Some of the quantization of outer factors is easy, while the other is not, the timely character of which has a key influence in decision and information alignment in strategy. Only when the harmony state of these factors is achieved, can the best decision be made.
The concept of renewable energy electric power project portfolio management is defined as "in the guidance of usable resources and enterprise strategy, the processing of selection and support of the investment of projects or project groups". The concept of timely strategy alignment can be defined as "the processing of decision making of renewable electric power enterprise under certain strategy and versatile environment"
Chapter2analyzed the feasibility and methods of timely decision making. Chapter3analyzed the management model and organization foundation. Chapter4analyzed the method of making timely strategy-alignment decision-making through the mining of KSF. Chapter5made an information system plan based on the theories above. Chapter6elaborated a case based on a realized system.Based on above, the main work of this paper is as followed:
(1) As for the decision problems of renewable energy power project, from the perspective of whole lifecycle project portfolio management, a timely correspondingstrategy theory is used, and an evaluation system of renewable energy power enterprises based on KSF (Key Success Factor) is built, while also data mining technology is applied in the timely production of KSF. These results can give guidance to the decision of renewable energy power project.
(2) Timely correspondingstrategy theory is brought into the decision of renewable energy power project, thus given limited resources, investors can balance between achieving project goals, project set goals, as well as enterprise strategic objectives, while also keep harmony with KSF. Based on the group company decision, branch company planning and project company operation structure, the management achitechture of decision layer, management layer and operation layer is built. Target is the core factoer of portfolio management, which is based on group company strategy. Based on the organization charactors, the cross point of functional department of branch company and target management in project organizaton is researched, which is to achieve effective management mode of portfolio management.
(3) Dynamic KSF project evaluation system is built, and management information system is adopted to collect some data of every individual time spot, and then different time spot of KSF can be obtained, therefore we can evaluate the KSF in whole lifecycle for different project portfolios, whose evaluation results can be useful for the decision of renewable energy power project. This method plays exemplary role in enhancing the decision of renewable energy power project under multi-projectportfolios. Dynamic KSF project evaluation system is built. Relative data is built through management information system, based on which the KSF is created in different time point, so as to excute KSF evaluation on different project portfolio in the whole life-cycle. The evalution result can be used as refference to project decision.
(4) Using data mining technology, the timely internal and external conditions of enterprise can be analyzed, and the timely KSF conditions of enterprise can be obtained. Given that the strategic objectives of the enterprise can be written through the front of management information systems, so enterprisestrategic objectives are liked to enterprise KSF. This management method gives useful guidance to renewable energy power project whose decisions are greatly affected by the change of internal and external conditions, and also realizes the correspondence of enterprisestrategic objectives and project goals.The auto KSF produciton mechanism is built, which collection timely data from all business area of a renewable energy company, including projcet construction, project operation and the operation of head quarter. Achieving new KSF of a company by data mining, to realise auto alter of KSF variation. By this method, the decision standard can be timely updated based on enterprise strategy and in-and-out conditions and perform a altering funciton to decision makers.
(5) On the foundation of requirement analysis, a design scheme of timely decision-making information platform is built, and the key success factors of this system are discussed, while the system architecture is proposed. Therefore, they provides a practical path to the theory and method in this paper. The reengineering of enterprise's business process should combine with the requirments of decision system's data entrance, intergrating KSF's foundamental data with project business data in the greatest degree. According to enterprise's characters, system performance, maintainability and modifiability should be considered to design a reasonable system structure, including system's hierarchical models, persistent storage and objectives.
引文
[1]卢宝周,程岩.IT基础设施与信息系统战略对应模型[J].计算机工程与应用,2003,33：52-57.
[2]夏志杰,胡克瑾.基于战略对应的IT项目组合选择模型[J].计算机工程与应用,2007,23：239-243.
[3]卢向华,赵昆,靳莹.基于战略对应的信息系统项目决策研究[J].计算机集成制造系统,2006,12(10)：1668-1673.
[4]赵昆,黄丽华,孙海.基于战略竞争优势的信息系统项目选择模型[J].系统工程学报,2005,20(6)：661-665.
[5]夏志杰,吴忠.面向IT治理的企业IT投资决策模型[J].情报杂志,2009,28(10)：179-202.
[6]李默,王祖,杨彬.IT项目组合管理研究综述[J].科技管理研究,201 0,(18)：236-238.
[7]Henderson J C, Venkatraman N.Strategiealignment:Leveraging information technology for transforming organizations[J].IBM Systems Journal,1993,32(1):4-16.
[8]Janice M. Burn, Colonel Szeto. A comparison of the views of business and IT management on success factors for strategic alignment[J]. Strategic Information Systems.2000,37:197-216.
[9]Davis Avison, Jill Jones, Philip Powell, David Wilson. Using and validating the strategic alignment model [J]. Strategic Information Systems,2004,13:223-246.
[10]Francois Bergeron, Louis Raymond, Suzanne Rivard. Ideal patterns of strategic alignment and business performance[J]. Information & Management,2004,41:1003-1020.
[11]Peerasit Patanakul, Effectiveness in Project Portfolio Management:Toward a Conceptual Definition[J].Stevens Institute of Technology NJ,US A.2011,23:6-11.
[12]Martin Lerch, Patrick Spieth. Innovation Project Portfolio Management:A Qualitative Analysis[J].2012,23:1-12.
[13]Russell K. Thornley. Sustainable Strategic Alignment of Actual Project Portfolio Execution:Application and Exploratory Case Study [J]. IEEE International Technology Management Conference,2012,1(12):374-381.
[14]Jian WEN. The Strategy-Oriented Project Portfolio Selection and Management[J].2010 IEEE,2010,4(10):76-88.
[15]程鸿群,余红伟,叶子菀.项目组合管理能力评价[J].同济大学学报,2012,40(1)：148-153.
[16]彭魏,公司项目组合管理中资源优化配置问题分析[J].经济视角,2011(2)：76-82.
[17]郭方铭,马力.基于约束理论的多项目组合管理研究与应用[J].武汉理工大学学报,2010,34(4)：725-729.
[18]Zhaohong Wang, Yue Yu. Information Entropy Method for Project Portfolio Selection, Eighth International Conference on Fuzzy Systems and Knowledge Discovery,2011, 6(11):2618-2622.
[19]李默,王祖和.基于战略Partnering模式的工程项目组合管理研究[J].工程管理学报,2011,25(3)：313-317.
[20]林正航,强茂山.项目导向型管理的需求与实践[J].项目管理技术,2010,8(2)：24-28.
[21]戚安邦,官明郎.定制化企业的项目导向型组织变革成熟度模型与机理研究[J].工程管理学报,2011,9(9)：32-39.
[22]翟磊,柴立军.基于研发需求的研发企业项目导向型合作组织模式研究[J].项目管理技术,2010,8(7)：59-63.
[23]翟磊,面向独特性任务的地方政府组织模式模型与变革途径—基于项目导向型组织理论的研究[J].项目管理技术,2011,9(12)：25-29.
[24]惠冰,杨国鹏.中部地区城市政府公共服务的工具选择—构建项目导向型政府[J].天津师范大学学报：社会科学版,2008(4)：12-17.
[25]韦如梅.论项目导向型政府及其对于构建服务型政府的意义[J].江苏行政学院学报,2009(3)：111-115.
[26]戚安邦,于波.面向和谐社会与创新型国家建设的项目导向型政府研究—兼论我国政府的社会服务和危机管理能力[J].生产力研究,2008(1)：11-14.
[27]B.N.Lakshmi, GH.Raghunandhan. A Conceptual Overview of Data Mining[J]. Proceedings of the National Conference on Innovations in Emerging Technology, 2011,5(11):27-32.
[28]周岩,数据挖掘技术及方法的探讨与分析[J].应用技术,2012,6：178-178.
[29]高海燕,数据挖掘技术及应用浅析[J].应用技术,2012,6：167-167.
[30]吕达,初析数据挖掘技术[J].科技广场,2011,11：68-71.
[31]徐宏,数据挖掘综述[J].现代商业,2012,6：144-145.
[32]汪明,数据挖掘综述[J].河北软件职业技术学院学报,2012,14(1)：45-48.
[33]马青霞,数据挖掘的技术特点及发展现状[J].金陵科技学院学报,2011,27(4)：29-34.
[34]董欢,数据挖掘技术概述[J].黑龙江科技信息,2012,1：100-100.
[35]江瑶,王圆,郝贤云.浅谈数据挖掘技术[J].中国商界,2011,12：345-345.
[36]王晟,赵壁芳.面向企业的ERP数据挖掘系统设计[J].重庆科技学院学报,2011,13(6)：176-179.
[37]张旭.简析数据挖掘技术在项目质量管理中的应用[J].中国科技信息,2012,5：119-119.
[38]李小庆.运用数据挖掘与知识发现提高决策分析能力[J].农业发展与金融,2011,3：96-98.
[39]于丽芳.数据挖掘技术的内涵及其在电子商务中的应用[J].科技论坛,2012,82-82.
[40]Ivan Janciak, Peter Brezany. A Reference Model for Data Mining Web Services[J].2010 Sixth International Conference on Semantics,Knowledge and Grids.2010,1(10):251-258.
[41]王春风,周宁.数据挖掘算法的改进及其在Chord网络中的应用[J].计算机应 用,2012,32(1)：199-202.
[42]Yang Lai, Shi ZhongZhi. An Efficient Data Mining Framework on Hadoop using Java Persistence API[C]. IEEE International Conference on Computer and Information Technology. 2010,2(10):203-209.
[43]PENG Hong, WANG Cong. A New Data Mining Method Based on Extenics[J]. International Conference On Computer Design AndAppliations.2010,5(10):265-268.
[44]Panagiotis Papapetrou, and Jefrey Lijffijt.Visually Controllable Data Mining Methods, Kai Puolamaki[J].2010 IEEE International Conference on Data Mining Workshops. 2010,7(10):409-417.
[45]Hailiang Jin,Baoliang Miao. The Research Progress of Spatial Data Mining Technique[J]. Key Laboratory of Mine Spatial Information Technologies of State Bureau of Surveying and Mapping.2010,9(10):81-84.
[46]Ling Zheng, Feng Li, Hui Gui. The Research of Ontology-Assisted Data Mining Technology[J].2010 IEEE,2010,5(10):285-288.
[47]乌云娜,陈文君.工程项目管理[M].北京：电子工业出版社,2009：46-55.
[48]Wen Jian. Linking Projects to Strategic Business Objectives[C]. International Conference on Engineering and Business Management,2010,2050-2053.
[49]David Pollard, Sabine Hotho. Crises, Scenarios and the strategic management process[J]. Management Decision,2006,44(6):721-736.
[50]方正.新起点新征程新使命—中国华电集团新能源发展展望[J].华电技术,2008,30(1)：75-77.
[51]李林,曹文华,毕海普.基于SMART原则的企业安全文化评价体系研究[J].中国安全科学学报,2007,17(2)：121-128
[52]邱罡,龚炯,孙晓菲.中国新能源发展报告[R].中国三星经济研究院,2010,(2)：1-17.
[53]周建高.我国新能源开发利用的对策探讨[J].湖南医科大学学报(社会科学版),2010,12(4)：52-54.
[54]张艳峰.我国新能源企业的融资战略研究[J].企业活力,2011,(12)：10-13.
[55]李彬.我国新能源融资分析[J].理论界,2010,(1)：45-46.
[56]裴玉.新能源企业的核心能力分析和战略选择[J].科技管理研究,2011,(9)：14-18.
[57]李俊亭,叶志强.项目组合管理在企业项目管理中的应用研究[J].西安石油大学学校(社会科学版),2009,18(1)：29-34.
[58]张阳,陈波.企业项目组合管理中项目分级管理控制模式的探讨[J].中国市场,2008(7)：84-85.
[59]李菲,张同秀,文小莉.利用项目组合管理提升企业建设管理水平[J].油气田地面工程,2008,27(1)：63-65.
[60]陈波,段正梁,叶亮.基于战略管理的企业项目组合优选评价方法探讨[J].商场现代化,2008,(12)：134-135.
[61]Penrose E. The Theory of the Growth of the Firm[M]. London:Basil Blackwell.1959:56-63.
[62]章茜,方勤敏.基于资源和关键成功因素的企业竞争力分析[J].价值工程,2011,(5)：99-100.
[63]Mohamed, S.. Scorecard approach to benchmarking organizational safety culture in construction[J]. Journal of Construction Engineering Management,2003,129(1):80-88.
[64]Skowron A, Rauszer C. The discernibility matrices and functions information systems[M]. Intelligent Decision Support-handbook of Applications and Advances of the Rough Sets Theory. Dordrecht:Kluwer Academic Publisher,1991:77-83.
[65]芦晓红,陈世权,吴今培.基于可辨识矩阵的启发式属性约简方法及其应用[J].计算机工程,2003,29(1)：56-59.
[66]朱琳琳.基于CSF和DM的企业战略信息提取与分析[J].软件导刊,2010,9(1)：18-25.
[67]J.Han, M.Kamber, Data mining:concepts and techniques[M]. New York:Morgan Kaufmann Publishers,2000:46-53.
[68]谢金梅,王艳妮.决策树算法综述[J].软件导刊,2008,7(11)：83-85.
[69]殷瑞飞.数据挖掘中的聚类方法及其应用[D].厦门：厦门大学,2008：95-103.
[70]姜园,张朝阳,仇佩亮,周东方.用于数据挖掘的聚类算法[J].电子与信息学报,2005,27(4)：655-662.
[71]罗可,林睦纲,郗东妹.数据挖掘中分类算法综述[J].计算机工程,2005,31(1)：3-11.
[72]谢金梅,王艳妮.决策树算法综述[J].软件导刊,2008,7(11)：83-85.
[73]李会,胡笑梅.决策树中ID3算法与C4.5算法分析与比较[J].水电能源科学,2008,26(2)：129-132.
[74]Agrawal.R et al. Fast algorithms for mining association rules in large databases. In Proc.20th Int. Conf. Very Large Databases,1994:478-499.
[75]陆楠.关联规则的挖掘及其算法的研究[D].吉宁：吉林大学,2007：65-72.
[76]牛丽敏Apriori算法分析与改进综述[J].桂林电子科技大学学报,2007,27(1)：27-30.
[77]Ludovic-Alexandre Vidal, Franck Marle, Jean-Claude Bocquet. Using a Delphi process and the Analytic Process(AHP) to evaluate the complexity of projects[J]. Expert Systems with Applications,2011,38(5):5388-5405.
[78]Zhang Lei, Pan Jienan, Zhang Xiaomin. Fuzzy comprehensive evaluation of mining geological condition in the No.9 coal seam, Linhuan coal mine, Huaibei Coalfield, China[J]. Procedia Environmental Sciences,2012, (12), Part A:9-16.
[79]Daniel Jonas. Empowering project portfolio managers:How management involvement impacts project portfolio management performance[J]. International Journal of Project Management,2010,28:818-831.
[80]Rupak Bhattacharyya, Pankaj Kumar, Samarjit Kar. Fuzzy R&D portfolio selection of interdependent projects[J]. Computers and Mathematics with Applications,2011,62(10): 3857-3870.
[81]黄勇,叶义成,刘峰.发电厂建设工程安全的综合评价方法研究及应用[J].价值工程,2007(11)：124-127.
[82]周洪涛,王宗军,张立炎.基于Multi_Agent的投资组合管理系统设计[J].武汉理工大学学报,2005,287(6)：65-68.
[83]Wu Jian. Study on management information system for construction engineering supervision based on ubiquitous environment[C].3rd IEEE International Conference on Ubi-Media Computing,2010:202-206.
[84]彭武良,王成恩.一种求解资源受限项目调度问题的蚁群算法[J].系统仿真学报,2009,07：1974-1978.
[85]石永东.基于项目组合管理的战略实施范式研究[D].武汉：华中科技大学,2008：56-60.
[86]李菲,张同秀,文小莉.利用项目组合管理提升企业建设管理水平[J].油气田地面工程,2008,27(1)：63-65.
[87]梁明杰,骆殉.项目组合管理资源配置方法的应用[J].项目管理技术.2006,2：36-40.
[88]Weiguo Zhang, Weilin Xiao, Weijun Xu. A possibilistic portfolio adjusting model with new added assets[J]. International Journal of Economic Modelling,2010,27:208-213.
[89]Chonghui Jiang, Yongkai Ma, Yunbi An. An analysis of portfolio selection with background risk[J]. Journal of Banking & Finance,2010,34:3055-3060.
[90]戚安邦,顾静,焦旭东.我国创新型企业面向创新战略实施的项目组合全过程集成管理方法研究[J].科学学与科学技术管理,2010,5：106-110.
[91]董福贵,刘慧美.基于ANP/TOPSIS的燃煤供应商选择[J].现代电力,2012,29(1)：82-85
[92]夏忠华,张东亮.基于B/S模式的港口煤炭信息监管系统的设计与实现[J].煤炭技术,2011,30(4)：154-156.
[93]张瑞红.基于PDCA循环过程的知识管理动态评价模型[J].情报科学,2012,30(1)：95-98.
[94]李紫东,张原.基于多智能体系统的大型建设项目跨组织协调研究[J].项目管理技术,2011,9(1)：77-79.
[95]Bernard Aritua, Nigel J.Smith, Denise Bower. Construction client multi-projects-A complex adaptive systems perspective[J]. International Journal of Project Management,2009, 27:72-79.
[96]P. Guo, J. J. Liang, Y. M. Zhu, J. F. Hu. R&D project portfolio selection model analysis within project interdependencies context[C]. Industrial Engineering and Engineering Management,2008,12:994-998.
[97]陈波,段正梁,叶亮.基于战略管理的企业项目组合优选评价方法探讨[J].商场现代化,2008,559：134-135.
[98]夏志杰,胡克瑾.面向战略对应的IT项目组合决策模型[J].同济大学学报(自然科学版),2008,36(9)：1301-1306.
[99]Zohar Laslo. Project portfolio management:An integrated method for resource planning and scheduling to minimize planning/scheduling-dependent expenses[J]. International Journal of Project Management,2010,28:609-618.
[100]中华人民共和国国务院.《国务院关于投资体制改革的决定》,2004.
[101]林娜.可持续增长模型及其实证检验[D].济南：山东大学.2008：82-86.
[102]可再生能源中长期发展规划[R].2007(8)：19-23.
[103]何晓群.多元统计分析(第三版)[M].北京.中国人民大学出版社.2012：140-146.
[104]胡平,崔文田,徐青川.应用统计学分析教学实践案例集[M].北京.清华大学出版社.2007：176-180.
[105]陈共,周升业,吴晓求.证券投资分析[M].北京：中国人民大学出版社.1997.
[106]刘润幸.SPSS 8.0 for Windows统计软件使用指南[M].广州：广东人民出版社.1999.
[107]王春蕊.基于因子分析方法建立企业财务战略模型[D].辽宁师范大学硕士论文,2008.
[108]高文海.有关上市公司财务指标体系的实证研究[D].武汉：武汉理工大学硕士论文,2003.
[109]James C.VanHome,John M.W achow icz,JR.财务管理基础[M].清华大学出版社.2006.
[110]汤谷良,游尤.可持续增长模型的比较分析与案例验证[J].会计研究,2005(8)：78-83.
[111]王丹,杨晓兰.基于因子分析的上市公司可持续增长能力评价研究[M].财会通讯,2010(1)：49-53.
[112]Andre A.de Waal.Power of Performance Management:How Leading Companies Create Sustained Value[M].John Wiley & Sons.Inc.2001.
[113]张蕊.企业战略经营业绩评价指标体系研究[M].北京：中国财政经济出版社.2002.
[114]朱开悉.未来财务报告的方向：企业财务核心能力[J].财务与会计.2002：59-93.
[115]Aaker,F-, Kinnear,T.&Bernhardt, K. Variation in the value orientation[M]. NewYork: Dun Donnelly,1999:134-145.
[116]Akdere, M. Social capital theory and implications for human resource development[J]. Singapore Management Review.2004:93-96.
[117]李荣平,刘刚海,张吉良,等.技术创新能力与活力评价理论和实证研究[M].天津：天津大学出版社.2005：115-120.
[118]荣泰生.SPSS与研究方法[M].大连：东北财经大学出版社.2012：76-82.
[119]李书杰,李志刚.B/S三层体系结构模式[J].河北理工学院学报,2002(3)：113-118.
[120]国家发展和改革委员会.可再生能源中长期发展规划.2007.
[121]爱股网.www.gpcxw.com.2012.
[2]夏志杰,胡克瑾.基于战略对应的IT项目组合选择模型[J].计算机工程与应用,2007,23：239-243.
[3]卢向华,赵昆,靳莹.基于战略对应的信息系统项目决策研究[J].计算机集成制造系统,2006,12(10)：1668-1673.
[4]赵昆,黄丽华,孙海.基于战略竞争优势的信息系统项目选择模型[J].系统工程学报,2005,20(6)：661-665.
[5]夏志杰,吴忠.面向IT治理的企业IT投资决策模型[J].情报杂志,2009,28(10)：179-202.
[6]李默,王祖,杨彬.IT项目组合管理研究综述[J].科技管理研究,201 0,(18)：236-238.
[7]Henderson J C, Venkatraman N.Strategiealignment:Leveraging information technology for transforming organizations[J].IBM Systems Journal,1993,32(1):4-16.
[8]Janice M. Burn, Colonel Szeto. A comparison of the views of business and IT management on success factors for strategic alignment[J]. Strategic Information Systems.2000,37:197-216.
[9]Davis Avison, Jill Jones, Philip Powell, David Wilson. Using and validating the strategic alignment model [J]. Strategic Information Systems,2004,13:223-246.
[10]Francois Bergeron, Louis Raymond, Suzanne Rivard. Ideal patterns of strategic alignment and business performance[J]. Information & Management,2004,41:1003-1020.
[11]Peerasit Patanakul, Effectiveness in Project Portfolio Management:Toward a Conceptual Definition[J].Stevens Institute of Technology NJ,US A.2011,23:6-11.
[12]Martin Lerch, Patrick Spieth. Innovation Project Portfolio Management:A Qualitative Analysis[J].2012,23:1-12.
[13]Russell K. Thornley. Sustainable Strategic Alignment of Actual Project Portfolio Execution:Application and Exploratory Case Study [J]. IEEE International Technology Management Conference,2012,1(12):374-381.
[14]Jian WEN. The Strategy-Oriented Project Portfolio Selection and Management[J].2010 IEEE,2010,4(10):76-88.
[15]程鸿群,余红伟,叶子菀.项目组合管理能力评价[J].同济大学学报,2012,40(1)：148-153.
[16]彭魏,公司项目组合管理中资源优化配置问题分析[J].经济视角,2011(2)：76-82.
[17]郭方铭,马力.基于约束理论的多项目组合管理研究与应用[J].武汉理工大学学报,2010,34(4)：725-729.
[18]Zhaohong Wang, Yue Yu. Information Entropy Method for Project Portfolio Selection, Eighth International Conference on Fuzzy Systems and Knowledge Discovery,2011, 6(11):2618-2622.
[19]李默,王祖和.基于战略Partnering模式的工程项目组合管理研究[J].工程管理学报,2011,25(3)：313-317.
[20]林正航,强茂山.项目导向型管理的需求与实践[J].项目管理技术,2010,8(2)：24-28.
[21]戚安邦,官明郎.定制化企业的项目导向型组织变革成熟度模型与机理研究[J].工程管理学报,2011,9(9)：32-39.
[22]翟磊,柴立军.基于研发需求的研发企业项目导向型合作组织模式研究[J].项目管理技术,2010,8(7)：59-63.
[23]翟磊,面向独特性任务的地方政府组织模式模型与变革途径—基于项目导向型组织理论的研究[J].项目管理技术,2011,9(12)：25-29.
[24]惠冰,杨国鹏.中部地区城市政府公共服务的工具选择—构建项目导向型政府[J].天津师范大学学报：社会科学版,2008(4)：12-17.
[25]韦如梅.论项目导向型政府及其对于构建服务型政府的意义[J].江苏行政学院学报,2009(3)：111-115.
[26]戚安邦,于波.面向和谐社会与创新型国家建设的项目导向型政府研究—兼论我国政府的社会服务和危机管理能力[J].生产力研究,2008(1)：11-14.
[27]B.N.Lakshmi, GH.Raghunandhan. A Conceptual Overview of Data Mining[J]. Proceedings of the National Conference on Innovations in Emerging Technology, 2011,5(11):27-32.
[28]周岩,数据挖掘技术及方法的探讨与分析[J].应用技术,2012,6：178-178.
[29]高海燕,数据挖掘技术及应用浅析[J].应用技术,2012,6：167-167.
[30]吕达,初析数据挖掘技术[J].科技广场,2011,11：68-71.
[31]徐宏,数据挖掘综述[J].现代商业,2012,6：144-145.
[32]汪明,数据挖掘综述[J].河北软件职业技术学院学报,2012,14(1)：45-48.
[33]马青霞,数据挖掘的技术特点及发展现状[J].金陵科技学院学报,2011,27(4)：29-34.
[34]董欢,数据挖掘技术概述[J].黑龙江科技信息,2012,1：100-100.
[35]江瑶,王圆,郝贤云.浅谈数据挖掘技术[J].中国商界,2011,12：345-345.
[36]王晟,赵壁芳.面向企业的ERP数据挖掘系统设计[J].重庆科技学院学报,2011,13(6)：176-179.
[37]张旭.简析数据挖掘技术在项目质量管理中的应用[J].中国科技信息,2012,5：119-119.
[38]李小庆.运用数据挖掘与知识发现提高决策分析能力[J].农业发展与金融,2011,3：96-98.
[39]于丽芳.数据挖掘技术的内涵及其在电子商务中的应用[J].科技论坛,2012,82-82.
[40]Ivan Janciak, Peter Brezany. A Reference Model for Data Mining Web Services[J].2010 Sixth International Conference on Semantics,Knowledge and Grids.2010,1(10):251-258.
[41]王春风,周宁.数据挖掘算法的改进及其在Chord网络中的应用[J].计算机应 用,2012,32(1)：199-202.
[42]Yang Lai, Shi ZhongZhi. An Efficient Data Mining Framework on Hadoop using Java Persistence API[C]. IEEE International Conference on Computer and Information Technology. 2010,2(10):203-209.
[43]PENG Hong, WANG Cong. A New Data Mining Method Based on Extenics[J]. International Conference On Computer Design AndAppliations.2010,5(10):265-268.
[44]Panagiotis Papapetrou, and Jefrey Lijffijt.Visually Controllable Data Mining Methods, Kai Puolamaki[J].2010 IEEE International Conference on Data Mining Workshops. 2010,7(10):409-417.
[45]Hailiang Jin,Baoliang Miao. The Research Progress of Spatial Data Mining Technique[J]. Key Laboratory of Mine Spatial Information Technologies of State Bureau of Surveying and Mapping.2010,9(10):81-84.
[46]Ling Zheng, Feng Li, Hui Gui. The Research of Ontology-Assisted Data Mining Technology[J].2010 IEEE,2010,5(10):285-288.
[47]乌云娜,陈文君.工程项目管理[M].北京：电子工业出版社,2009：46-55.
[48]Wen Jian. Linking Projects to Strategic Business Objectives[C]. International Conference on Engineering and Business Management,2010,2050-2053.
[49]David Pollard, Sabine Hotho. Crises, Scenarios and the strategic management process[J]. Management Decision,2006,44(6):721-736.
[50]方正.新起点新征程新使命—中国华电集团新能源发展展望[J].华电技术,2008,30(1)：75-77.
[51]李林,曹文华,毕海普.基于SMART原则的企业安全文化评价体系研究[J].中国安全科学学报,2007,17(2)：121-128
[52]邱罡,龚炯,孙晓菲.中国新能源发展报告[R].中国三星经济研究院,2010,(2)：1-17.
[53]周建高.我国新能源开发利用的对策探讨[J].湖南医科大学学报(社会科学版),2010,12(4)：52-54.
[54]张艳峰.我国新能源企业的融资战略研究[J].企业活力,2011,(12)：10-13.
[55]李彬.我国新能源融资分析[J].理论界,2010,(1)：45-46.
[56]裴玉.新能源企业的核心能力分析和战略选择[J].科技管理研究,2011,(9)：14-18.
[57]李俊亭,叶志强.项目组合管理在企业项目管理中的应用研究[J].西安石油大学学校(社会科学版),2009,18(1)：29-34.
[58]张阳,陈波.企业项目组合管理中项目分级管理控制模式的探讨[J].中国市场,2008(7)：84-85.
[59]李菲,张同秀,文小莉.利用项目组合管理提升企业建设管理水平[J].油气田地面工程,2008,27(1)：63-65.
[60]陈波,段正梁,叶亮.基于战略管理的企业项目组合优选评价方法探讨[J].商场现代化,2008,(12)：134-135.
[61]Penrose E. The Theory of the Growth of the Firm[M]. London:Basil Blackwell.1959:56-63.
[62]章茜,方勤敏.基于资源和关键成功因素的企业竞争力分析[J].价值工程,2011,(5)：99-100.
[63]Mohamed, S.. Scorecard approach to benchmarking organizational safety culture in construction[J]. Journal of Construction Engineering Management,2003,129(1):80-88.
[64]Skowron A, Rauszer C. The discernibility matrices and functions information systems[M]. Intelligent Decision Support-handbook of Applications and Advances of the Rough Sets Theory. Dordrecht:Kluwer Academic Publisher,1991:77-83.
[65]芦晓红,陈世权,吴今培.基于可辨识矩阵的启发式属性约简方法及其应用[J].计算机工程,2003,29(1)：56-59.
[66]朱琳琳.基于CSF和DM的企业战略信息提取与分析[J].软件导刊,2010,9(1)：18-25.
[67]J.Han, M.Kamber, Data mining:concepts and techniques[M]. New York:Morgan Kaufmann Publishers,2000:46-53.
[68]谢金梅,王艳妮.决策树算法综述[J].软件导刊,2008,7(11)：83-85.
[69]殷瑞飞.数据挖掘中的聚类方法及其应用[D].厦门：厦门大学,2008：95-103.
[70]姜园,张朝阳,仇佩亮,周东方.用于数据挖掘的聚类算法[J].电子与信息学报,2005,27(4)：655-662.
[71]罗可,林睦纲,郗东妹.数据挖掘中分类算法综述[J].计算机工程,2005,31(1)：3-11.
[72]谢金梅,王艳妮.决策树算法综述[J].软件导刊,2008,7(11)：83-85.
[73]李会,胡笑梅.决策树中ID3算法与C4.5算法分析与比较[J].水电能源科学,2008,26(2)：129-132.
[74]Agrawal.R et al. Fast algorithms for mining association rules in large databases. In Proc.20th Int. Conf. Very Large Databases,1994:478-499.
[75]陆楠.关联规则的挖掘及其算法的研究[D].吉宁：吉林大学,2007：65-72.
[76]牛丽敏Apriori算法分析与改进综述[J].桂林电子科技大学学报,2007,27(1)：27-30.
[77]Ludovic-Alexandre Vidal, Franck Marle, Jean-Claude Bocquet. Using a Delphi process and the Analytic Process(AHP) to evaluate the complexity of projects[J]. Expert Systems with Applications,2011,38(5):5388-5405.
[78]Zhang Lei, Pan Jienan, Zhang Xiaomin. Fuzzy comprehensive evaluation of mining geological condition in the No.9 coal seam, Linhuan coal mine, Huaibei Coalfield, China[J]. Procedia Environmental Sciences,2012, (12), Part A:9-16.
[79]Daniel Jonas. Empowering project portfolio managers:How management involvement impacts project portfolio management performance[J]. International Journal of Project Management,2010,28:818-831.
[80]Rupak Bhattacharyya, Pankaj Kumar, Samarjit Kar. Fuzzy R&D portfolio selection of interdependent projects[J]. Computers and Mathematics with Applications,2011,62(10): 3857-3870.
[81]黄勇,叶义成,刘峰.发电厂建设工程安全的综合评价方法研究及应用[J].价值工程,2007(11)：124-127.
[82]周洪涛,王宗军,张立炎.基于Multi_Agent的投资组合管理系统设计[J].武汉理工大学学报,2005,287(6)：65-68.
[83]Wu Jian. Study on management information system for construction engineering supervision based on ubiquitous environment[C].3rd IEEE International Conference on Ubi-Media Computing,2010:202-206.
[84]彭武良,王成恩.一种求解资源受限项目调度问题的蚁群算法[J].系统仿真学报,2009,07：1974-1978.
[85]石永东.基于项目组合管理的战略实施范式研究[D].武汉：华中科技大学,2008：56-60.
[86]李菲,张同秀,文小莉.利用项目组合管理提升企业建设管理水平[J].油气田地面工程,2008,27(1)：63-65.
[87]梁明杰,骆殉.项目组合管理资源配置方法的应用[J].项目管理技术.2006,2：36-40.
[88]Weiguo Zhang, Weilin Xiao, Weijun Xu. A possibilistic portfolio adjusting model with new added assets[J]. International Journal of Economic Modelling,2010,27:208-213.
[89]Chonghui Jiang, Yongkai Ma, Yunbi An. An analysis of portfolio selection with background risk[J]. Journal of Banking & Finance,2010,34:3055-3060.
[90]戚安邦,顾静,焦旭东.我国创新型企业面向创新战略实施的项目组合全过程集成管理方法研究[J].科学学与科学技术管理,2010,5：106-110.
[91]董福贵,刘慧美.基于ANP/TOPSIS的燃煤供应商选择[J].现代电力,2012,29(1)：82-85
[92]夏忠华,张东亮.基于B/S模式的港口煤炭信息监管系统的设计与实现[J].煤炭技术,2011,30(4)：154-156.
[93]张瑞红.基于PDCA循环过程的知识管理动态评价模型[J].情报科学,2012,30(1)：95-98.
[94]李紫东,张原.基于多智能体系统的大型建设项目跨组织协调研究[J].项目管理技术,2011,9(1)：77-79.
[95]Bernard Aritua, Nigel J.Smith, Denise Bower. Construction client multi-projects-A complex adaptive systems perspective[J]. International Journal of Project Management,2009, 27:72-79.
[96]P. Guo, J. J. Liang, Y. M. Zhu, J. F. Hu. R&D project portfolio selection model analysis within project interdependencies context[C]. Industrial Engineering and Engineering Management,2008,12:994-998.
[97]陈波,段正梁,叶亮.基于战略管理的企业项目组合优选评价方法探讨[J].商场现代化,2008,559：134-135.
[98]夏志杰,胡克瑾.面向战略对应的IT项目组合决策模型[J].同济大学学报(自然科学版),2008,36(9)：1301-1306.
[99]Zohar Laslo. Project portfolio management:An integrated method for resource planning and scheduling to minimize planning/scheduling-dependent expenses[J]. International Journal of Project Management,2010,28:609-618.
[100]中华人民共和国国务院.《国务院关于投资体制改革的决定》,2004.
[101]林娜.可持续增长模型及其实证检验[D].济南：山东大学.2008：82-86.
[102]可再生能源中长期发展规划[R].2007(8)：19-23.
[103]何晓群.多元统计分析(第三版)[M].北京.中国人民大学出版社.2012：140-146.
[104]胡平,崔文田,徐青川.应用统计学分析教学实践案例集[M].北京.清华大学出版社.2007：176-180.
[105]陈共,周升业,吴晓求.证券投资分析[M].北京：中国人民大学出版社.1997.
[106]刘润幸.SPSS 8.0 for Windows统计软件使用指南[M].广州：广东人民出版社.1999.
[107]王春蕊.基于因子分析方法建立企业财务战略模型[D].辽宁师范大学硕士论文,2008.
[108]高文海.有关上市公司财务指标体系的实证研究[D].武汉：武汉理工大学硕士论文,2003.
[109]James C.VanHome,John M.W achow icz,JR.财务管理基础[M].清华大学出版社.2006.
[110]汤谷良,游尤.可持续增长模型的比较分析与案例验证[J].会计研究,2005(8)：78-83.
[111]王丹,杨晓兰.基于因子分析的上市公司可持续增长能力评价研究[M].财会通讯,2010(1)：49-53.
[112]Andre A.de Waal.Power of Performance Management:How Leading Companies Create Sustained Value[M].John Wiley & Sons.Inc.2001.
[113]张蕊.企业战略经营业绩评价指标体系研究[M].北京：中国财政经济出版社.2002.
[114]朱开悉.未来财务报告的方向：企业财务核心能力[J].财务与会计.2002：59-93.
[115]Aaker,F-, Kinnear,T.&Bernhardt, K. Variation in the value orientation[M]. NewYork: Dun Donnelly,1999:134-145.
[116]Akdere, M. Social capital theory and implications for human resource development[J]. Singapore Management Review.2004:93-96.
[117]李荣平,刘刚海,张吉良,等.技术创新能力与活力评价理论和实证研究[M].天津：天津大学出版社.2005：115-120.
[118]荣泰生.SPSS与研究方法[M].大连：东北财经大学出版社.2012：76-82.
[119]李书杰,李志刚.B/S三层体系结构模式[J].河北理工学院学报,2002(3)：113-118.
[120]国家发展和改革委员会.可再生能源中长期发展规划.2007.
[121]爱股网.www.gpcxw.com.2012.