在全球化的競爭以及總體環境的快速變化下，知識在企業中扮演的角色越來越重要，企業間的知識分享更是現在組織策略的一部分。許多管理者在尋求更有效率地問題解決方案時，通常會使用決策支援系統，然而，大多數的決策支援系統僅供單一管理層級的管理者使用，使得該系統的用途受到限制，為了增加決策支援系統的使用範圍，本研究將發展一套多管理階層之混合型決策支援系統，供企業中多管理層級的各管理者使用，該系統包含模組導向及知識導向之建構，就模組導向而言，將透過模組化商業模型之文獻及專家訪談建立固定模組，提供不同管理層級之管理者更有效率地獲得資訊；於知識導向之應用，則利用粗糙集理論中的方法，將各模組所得之資料進行分析以挖掘出重要資訊，並約簡為決策知識，最後產生可行之替代方案以解決問題。藉此本研究建立出一套協助高、中、基層管理者制定決策之決策支援系統，當管理者面臨決策問題時，可提供數個替代方案作為決策制定之依據。

In a competitive and rapidly changing environment, knowledge management has become more important for enterprises to achieve competence, and knowledge sharing must be viewed as an important part of enterprise strategies. In general, a decision support system (DSS) is a good tool for managers to use to resolve the decision making problem. However, most DSSs are focused on a specific departmental scope or are proposed only for one management level, so the development of such systems will be limited. In order to expand the DSS application, in this study, a prototype of a compound DSS is constructed, which is a combination of a model-driven and a knowledge-driven DSS, by including three management levels (i.e., top, middle and first-line management). A model-driven DSS component business model (CBM) and in-depth expert interviews are used to identify main manufacturing activities and to connect databases to obtain the decisions of other enterprises, while knowledge-driven DSS rough set theory is employed to mine and choose the data on enterprise decisions from the CBＭ. Through the use of these methods, managers will obtain some decisions from other enterprises, so they can make decisions related to problem solving more efficiently than they could without this reference. In conclusion, the model this study proposed will support three management levels to make appropriate decisions through a process of enterprise knowledge sharing.

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