基于CSM新资源观论的企业生态资源研究
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摘要
资源是人类社会赖以生存和发展的基础和源泉。回顾人类利用资源和研究资源的历史,依然有一些问题需要进一步研究和探索。
纵观20世纪,资源的范围从自然资源扩展到资本资源,人力资源,知识资源,文化资源等,其讨论的重点主要集中在传统资源观或有形资源观的层面。尽管有学者提出了大资源观、泛资源观、系统资源观的概念,但这方面的探讨还不够系统和深入,特别是对全球化、信息化、多元化的复杂环境下的资源理论缺乏系统的探讨。
进入21世纪,复杂性科学的影响日益扩大,其方法和理论被广泛应用到各个领域,复杂科学管理理论应运而生。复杂科学管理提出了复杂科学视角的新资源观。要探讨企业资源问题,必须从复杂性的角度出发,用系统思维和方法探究资源的系统结构、层次、运动规律、动态适应、稳定平衡、配置优化、健康状态、生态恢复与重建等问题。
由文献综述可知,企业资源观的研究,定性分析方法较多,定量分析方法较少。因此,构建数学模型,描述其科学规律,利用计量评价,提出切实可行的管理方法,是企业资源观研究的一个重要方向。
本文采用自然科学与社会科学结合的方法,发挥管理科学、数学、信息科学、和生物学科交叉的优势,从复杂性科学的角度,分析生态资源系统的结构、运行、循环、自组织、稳定与平衡、优化配置、系统健康、生态恢复与重建,提出企业生态资源的系列模型,描述企业生态资源系统的内在规律,评价其的健康状况和企业资源优化配置状况,并用实例验证模型的正确性。
论文共分为七章,具体内容如下。
第1章,绪论。在介绍研究背景、目的和意义之后,从企业资源观研究、资源生态系统研究、企业生态系统与复杂性研究三个方向对文献进行了综述综述,最好介绍本文的研究方法、思路、创新点以及论文结构。
第2章,相关理论基础。包括复杂科学管理、复杂系统理论、产业生态学、企业生态学、企业成长理论。
第3章,企业生态资源模型研究。从资源演化的视角,论述了企业生态资源概念,并解释了其属性。构建和设计了企业生态资源结构模型,企业资源层级模型和企业生态资源仿生运行模型。
第4章,企业生态资源流研究。构建和设计了企业资源离散运动模型和企业资源连续运动模型。在分析三种企业资源形态(物质、能量和信息)循环互动的基础上,构建和设计了企业资源优化配置模型和企业资源综合模糊评价模型。
第5章,企业生态资源协同研究。在讨论环境生态因子、企业的耐受性和适应性的基础上,构建和设计了窗口伸缩移动模型和系统健康评价模型；探讨了生态资源系统的调控、环境生态的恢复和重构。
第6章,应用案例研究——以保险业为例。理论方法和模型在保险业中的应用,内容包括二个方面。一是我国保险业生态资源系统研究；二是平安保险公司的资源评价及其适应性演化研究。验证了部分理论方法和模型的可行性和正确性。
第7章,结论和展望。本章是全文的总结,提出研究结论、管理建议和今后的研究方向。
Resource is foundation and source of human society's survival and development. Looking back at the history of resource utilization and research, there are still a number of issues that need further research and exploration.
Throughout the20th century, from natural resources to capital resources, human resources, knowledge resources, cultural resources and so on, the focus of discussion to resources, mainly concentrated in the traditional concept of resource view or level of physical resources.
Although some scholars proposed the Gig-RBV (Resource Based View) concept, Pan-RBV one and System-RBV, in this field there are not systematic and in-depth studies, especially systemic RBT (Resource-based theory) discussion on the complex environment of globalization, information technology, and a diversified resources. In the21st century, the complex disciplines began to prosper, which methods and theories have been applied to various fields. In order to solve resources' scientific problems, from the perspective of complexity, with systems engineering approach, must explore and study the resource ecosystem structure, hierarchy, law of motion, dynamic adaptation, stable equilibrium, configuration, optimization, health status, ecological restoration and reconstruction and other issues. Seen from the literature review, there are more qualitative analysis methods used to RBV study, and less quantitative analytical methods used. Therefore, building mathematical models, describing its scientific laws, using measurement evaluation, and proposing practical methods of management, are one of the main directions of RBV research.
By using the method of combining the human science and the natural science, playing cross-advantage of management science, mathematics, information science, and biology, from the perspective of complexity science, this paper analyzed resources ecosystem structure, running, cycling, self-organization, stability and balance, optimizing configuration, system health, ecological restoration and reconstruction, proposed Eco-resource based View (EBV) concept and its models to describe its internal rules and to evaluate the health of the ecosystem and the firm resource situation, and took an example to verify the correctness of part models.
This thesis is divided into seven chapters, as follows.
Chapter1is an overall introduction. It includes three parts. The first part is the introduction of the research background, purpose and meaning. The second is the literature overview, including the resource-based view (RBV), the resource ecosystem and the enterprise ecosystem complexity research. The third is the thesis research methods, research ideas, innovations and structure.
Chapter2is the relevant theoretical basis introduction, including complex scientific management, complex system theory, industrial ecology, enterprise ecology, and enterprise growth theory.
Chapter3is the enterprise eco-resource model research. This part discusses the concept of enterprise eco-resource and explains its properties, builds and designs a structure model of enterprise eco-resource, an enterprise resource hierarchical model and an enterprise eco-resource bionic-running model.
Chapter4is the enterprise eco-resource stream study. At first, builds and designs enterprise resource discrete motion model and enterprise resource continuous motion model. Secondly, analyzes three kinds of enterprise resource forms (material, energy and information). At last, builds and designs enterprise resource optimization model and enterprise resource fuzzy comprehensive evaluation model.
Chapter5is the enterprise eco-resources collaborative study. This part discusses ecological factors, enterprise tolerance and adaptability, builds and designs the window telescopic mobile model and system health evaluation model, and explores the eco-resource system control, and environmental ecology restoration and reconstruction.
Chapter6is the application study, the insurance industry as an example. The application of theoretical methods and models proposed in this thesis includes China's insurance industrial eco-resource system studies and Ping An Insurance Company resource evaluation and adaptive evolution ones. Part theoretical methods and models proposed in this thesis have been shown to be feasible and correct.
Chapter7is conclusions and outlook. This chapter is a summary of the thesis, which gives conclusions, management recommendations and future research directions.
纵观20世纪,资源的范围从自然资源扩展到资本资源,人力资源,知识资源,文化资源等,其讨论的重点主要集中在传统资源观或有形资源观的层面。尽管有学者提出了大资源观、泛资源观、系统资源观的概念,但这方面的探讨还不够系统和深入,特别是对全球化、信息化、多元化的复杂环境下的资源理论缺乏系统的探讨。
进入21世纪,复杂性科学的影响日益扩大,其方法和理论被广泛应用到各个领域,复杂科学管理理论应运而生。复杂科学管理提出了复杂科学视角的新资源观。要探讨企业资源问题,必须从复杂性的角度出发,用系统思维和方法探究资源的系统结构、层次、运动规律、动态适应、稳定平衡、配置优化、健康状态、生态恢复与重建等问题。
由文献综述可知,企业资源观的研究,定性分析方法较多,定量分析方法较少。因此,构建数学模型,描述其科学规律,利用计量评价,提出切实可行的管理方法,是企业资源观研究的一个重要方向。
本文采用自然科学与社会科学结合的方法,发挥管理科学、数学、信息科学、和生物学科交叉的优势,从复杂性科学的角度,分析生态资源系统的结构、运行、循环、自组织、稳定与平衡、优化配置、系统健康、生态恢复与重建,提出企业生态资源的系列模型,描述企业生态资源系统的内在规律,评价其的健康状况和企业资源优化配置状况,并用实例验证模型的正确性。
论文共分为七章,具体内容如下。
第1章,绪论。在介绍研究背景、目的和意义之后,从企业资源观研究、资源生态系统研究、企业生态系统与复杂性研究三个方向对文献进行了综述综述,最好介绍本文的研究方法、思路、创新点以及论文结构。
第2章,相关理论基础。包括复杂科学管理、复杂系统理论、产业生态学、企业生态学、企业成长理论。
第3章,企业生态资源模型研究。从资源演化的视角,论述了企业生态资源概念,并解释了其属性。构建和设计了企业生态资源结构模型,企业资源层级模型和企业生态资源仿生运行模型。
第4章,企业生态资源流研究。构建和设计了企业资源离散运动模型和企业资源连续运动模型。在分析三种企业资源形态(物质、能量和信息)循环互动的基础上,构建和设计了企业资源优化配置模型和企业资源综合模糊评价模型。
第5章,企业生态资源协同研究。在讨论环境生态因子、企业的耐受性和适应性的基础上,构建和设计了窗口伸缩移动模型和系统健康评价模型；探讨了生态资源系统的调控、环境生态的恢复和重构。
第6章,应用案例研究——以保险业为例。理论方法和模型在保险业中的应用,内容包括二个方面。一是我国保险业生态资源系统研究；二是平安保险公司的资源评价及其适应性演化研究。验证了部分理论方法和模型的可行性和正确性。
第7章,结论和展望。本章是全文的总结,提出研究结论、管理建议和今后的研究方向。
Resource is foundation and source of human society's survival and development. Looking back at the history of resource utilization and research, there are still a number of issues that need further research and exploration.
Throughout the20th century, from natural resources to capital resources, human resources, knowledge resources, cultural resources and so on, the focus of discussion to resources, mainly concentrated in the traditional concept of resource view or level of physical resources.
Although some scholars proposed the Gig-RBV (Resource Based View) concept, Pan-RBV one and System-RBV, in this field there are not systematic and in-depth studies, especially systemic RBT (Resource-based theory) discussion on the complex environment of globalization, information technology, and a diversified resources. In the21st century, the complex disciplines began to prosper, which methods and theories have been applied to various fields. In order to solve resources' scientific problems, from the perspective of complexity, with systems engineering approach, must explore and study the resource ecosystem structure, hierarchy, law of motion, dynamic adaptation, stable equilibrium, configuration, optimization, health status, ecological restoration and reconstruction and other issues. Seen from the literature review, there are more qualitative analysis methods used to RBV study, and less quantitative analytical methods used. Therefore, building mathematical models, describing its scientific laws, using measurement evaluation, and proposing practical methods of management, are one of the main directions of RBV research.
By using the method of combining the human science and the natural science, playing cross-advantage of management science, mathematics, information science, and biology, from the perspective of complexity science, this paper analyzed resources ecosystem structure, running, cycling, self-organization, stability and balance, optimizing configuration, system health, ecological restoration and reconstruction, proposed Eco-resource based View (EBV) concept and its models to describe its internal rules and to evaluate the health of the ecosystem and the firm resource situation, and took an example to verify the correctness of part models.
This thesis is divided into seven chapters, as follows.
Chapter1is an overall introduction. It includes three parts. The first part is the introduction of the research background, purpose and meaning. The second is the literature overview, including the resource-based view (RBV), the resource ecosystem and the enterprise ecosystem complexity research. The third is the thesis research methods, research ideas, innovations and structure.
Chapter2is the relevant theoretical basis introduction, including complex scientific management, complex system theory, industrial ecology, enterprise ecology, and enterprise growth theory.
Chapter3is the enterprise eco-resource model research. This part discusses the concept of enterprise eco-resource and explains its properties, builds and designs a structure model of enterprise eco-resource, an enterprise resource hierarchical model and an enterprise eco-resource bionic-running model.
Chapter4is the enterprise eco-resource stream study. At first, builds and designs enterprise resource discrete motion model and enterprise resource continuous motion model. Secondly, analyzes three kinds of enterprise resource forms (material, energy and information). At last, builds and designs enterprise resource optimization model and enterprise resource fuzzy comprehensive evaluation model.
Chapter5is the enterprise eco-resources collaborative study. This part discusses ecological factors, enterprise tolerance and adaptability, builds and designs the window telescopic mobile model and system health evaluation model, and explores the eco-resource system control, and environmental ecology restoration and reconstruction.
Chapter6is the application study, the insurance industry as an example. The application of theoretical methods and models proposed in this thesis includes China's insurance industrial eco-resource system studies and Ping An Insurance Company resource evaluation and adaptive evolution ones. Part theoretical methods and models proposed in this thesis have been shown to be feasible and correct.
Chapter7is conclusions and outlook. This chapter is a summary of the thesis, which gives conclusions, management recommendations and future research directions.
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