The Research On Fast Strategic Decision-Making In Theory And Method

Recently, with the acceleration of the development of science & technology and the economic globalization, human is stepping into a new age for Time-based Competition (TBC), and the high-velocity competitive environments reveal the requirements of the times for responding to customers and markets rapidly. The second generation of TBC is fast decision-making. It is the inevitable trend of society development, a firm successfully realizes responding to customers rapidly under the conditions that mining the potential opportunities and evading the risks or hazards, through right and effective Fast Strategic Decision-Making (FSDM). This dissertation presented a systematic research of the process of FSDM to meet the high-velocity commercial competitive environmental changes. The velocity model of process of FSDM, restrict factors of speediness for FSDM, optimal opportunity for implementation of FSDM and deviation scenario and remediation were discussed systematically and deeply on the theoretical plane in this dissertation. The creative research work done in this dissertation can be summarized as follows.(1) The research framework of FSDM. The concepts of high-velocity environments and FSDM were firstly defined. A research framework of FSDM was posed on the basis of analyzing the inducements and characteristics of FSDM. And the idea and basic framework of integration of FSDM was also established based on expounding the necessity of integration of FSDM.(2) The model of FSDM. The main previous researches about the process of Strategic Decision-Making (SDM) merely took the formulation into account instead of taking the implementation and correction into account. For this purpose, an IFCMOSR velocity model which integrates all of the five links of analyzing, formulating, implementing, monitoring and remedying was constructed. All of the current major analytical models of SDM are almost static and lack of quantitative and systematic. Therefore, a CART analytical model posed in this dissertation reflects the idea of TBC and reveals decision makers'subjective abilities that affect the effectiveness of decision-making. Finally, the dynamic evaluation method of the process of SDM presented in this dissertation by introducing the idea of unequal precision measurement makes up the lack of researches in this field.(3) Optimal opportunity for implementation of SDM. A general decision-making effectiveness function which is compounded of decision makers'ability, decision-making information function and decision-making opportunity function was built by introducing the rule of maximum entropy, and the optimal decision-making opportunity was also determined. This research on solution of optimal decision-making opportunity in this dissertation gives attention to two or more things of the uncertainty and information value, which can overcome some unilateralism and insufficiency of the previous researches in this field. Besides, an improved three-dimensional entropy measurement method of decision-making risk evaluation was suggested as well by introducing entropy into decision-making evaluation.(4) Deviation scenario and remediation for implementation of SDM. A systematic model of deviation scenario and remediation for implementation of SDM based on data mining was presented, which will be put into the deviation monitoring. And a mixed multiple attribute preference evaluation method was also put forward aim at the characteristics of multiple objectives and attributes of scenario projects and owing to there is still few research about how to evaluative their orders of good or inferior. Finally, a guarantee system for information exchanging of the process of scenario was presented according to the principles of hiving of spared projects in advance, responding rapidly in the process of scenario, and improvement by summing-up afterwards.