联系我们

论文查询结果	返回搜索

论文编号：	48
作者编号：	2120052323
上传时间：	2007/6/21 11:51:03
中文题目：	竞争情报定标比超分析法应用研究
英文题目：	BMK in CI Analysis/titlescr
指导老师：	刘玉照
中文关键字：	竞争情报;定标比超分析方法;蒙特
英文关键字：	Competitive Intelligence;Bench
中文摘要：	竞争情报以市场竞争为舞台，以竞争环境、竞争对手和竞争策略为研究内容，以增强组织竞争力为目的。在现代企业竞争中，竞争情报作为一种资源发挥着重要作用，已经成为企业核心竞争力的组成要素。竞争情报分析方法有多种，诸如思维逻辑方法（如比较法，分析综合法，因果关系法）、专家调查法（如德尔菲法，头脑风暴法，交叉影响分析法）、文献计量学方法、层次分析法、回归分析法、时间序列分析法、态势分析法（SWOT分析方法）以及定标比超方法等等。 定标比超方法是竞争情报分析中一种对竞争情报绩效分析优劣具有重要意义的评价工具，是将企业自身各方面的经营状况与竞争对手进行对照分析，借以评价企业自身并研究同行业或它行业之最佳实践的过程。其内容涵盖了企业竞争情报研究的核心内容，是竞争情报分析中运用广泛且占有比较重要地位的方法。但是，定标比超分析方法目前无论在理论研究方面还是在在竞争情报的实际应用中，常常局限于定性的使用，很少有将定量的研究方法运用于定标比超分析之中，使之或多或少地有一种“定性有余、定量不足”的感觉，同时也使得分析结果的客观性和科学性受到了影响，使得定标比超分析方法在实际应用中具有一定的主观性。 有鉴于此，本文借鉴了数学分析方法中的蒙特卡罗模拟仿真法，将纯粹定性的定标比超方法改进成定性与定量相结合的定标比超法，这对竞争情报分析来说不仅具有一定的理论意义而且具有一些实际的意义。 本文在回顾和总结前人研究的基础上，将定标比超方法归结为一个有目的、有目标的学习过程，企业借助于这一过程重新思考和设计自己的运行模式，产生出适合自己的最佳运行模式。与此同时，我们将随机函数中蒙特卡罗模拟方法运用于定标比超中，针对参照物选取的障碍，设计了相关数学模型，编写了计算机程序，得出指标排序优势度矩阵为企业应用定标比超标杆的确定提供了客观、灵活的方法。另一方面，本文利用蒙特卡罗模拟方法预测了企业实施定标比超存在的成本风险，从量化角度为企业效益的进一步提高实现提供了客观的依据。
英文摘要：	The competitive intelligence which takes the market competition as the stage, the research of the competition environment, the competitor and the competition strategy as the content and strengthening the organization competitive power as the goal, is now playing a vital role in the modern enterprise competition and has already become the important component element of the enterprises’core competitive power. There are many kinds of competitive intelligence analysis methods: the logic method (e.g. comparison method, synthesis analysis method, causal relation method), the expert investigation approach (e.g. Delphi method, brains storm method, qualitative cross-impact analysis), the biblio-metrological analysis, the analytic hierarchy process method, the regression analysis method, the time series analysis as well as SWOT analysis method, etc.. The benchmarking method is a kind of vital significant tool in analyzing the fit and unfit quality of the competitive intelligence achievements in competitive intelligence analysis. In the application of competitive intelligence analysis method, benchmarking method is the comparing analysis between the management conditions in various aspects of the enterprises themselves and their competitors, and in order to appraise the enterprises themselves and research other industries’best practice processes. Its content has covered the core contents of the enterprise competitive intelligence research. However, the benchmarking method is frequently limited to the qualitative uses, not only in the fundamental theoretic research aspects but also in the practical applications of the competitive intelligence. And the quantitative method is seldom used in the benchmarking method. “Much more in qualitative and much less in quantitative” has affected the objectivity and scientificity of the analysis result; as a result, there is certain subjectivity in the application of the benchmarking method. Using the mathematics Monte Carlo simulation method for reference, this article changes the benchmarking method from qualitative use into the combination use, which is not only of the important theory significance but also the practical one. Based on the massively reviewing and summarizing of the previous studies, this article sums up the benchmarking method as the studying process which has the goals and the objectives, in order to make the enterprises reflect and redesign their own management patterns into the most appropriate management patterns of their own. Meanwhile, the author uses the Monte Carlo simulation of the stochastic function in the benchmarking method. Aiming at the selecting barriers of the frame of reference, the author designed the correlation mathematical model, compiled the computer program, obtained the target sorting dominance matrix and provided objectively flexible method for the enterprises to determinate and apply the benchmarking range pole. On the other hand, using the Monte Carlo simulation, this article forecasts the existence of enterprises’cost risks in applying the benchmarking and has provided the objective basis for the enterprises to further realize their benefits from a quantification angle.
查看全文：	预览  下载(下载需要进行登录)