Summary: | 碩士 === 國立中央大學 === 企業管理研究所 === 97 === Enterprises are in response to changes in today''s business environment, real-time response to customer requirement and they improve overall operating efficiency, one after another into ERP systems. However, the design of large-scale ERP systems are extremely complex, often need to implement these ERP time-consuming and expensive. Therefore, the implementation of ERP systems must be the long-term strategy for consideration, and must be a planned and proper ways to implement.
Among the many large-scale ERP developers, SAP software is one of well-known. Most of these software emphasize on modular approach, and built the so-called business best processes. The processes build enterprise reference model of operating activities. Enterprises can implement the best of these so-called processes in accordance with the demand.
However, according to past studies have shown that there have a number of reasons can’t improve business performance after implementing the ERP system, and even fail to final project to implement. The important reason is that the operational activities of the enterprises can’t fit functions provided by ERP systems.
Some scholars address methodologies to assess fitness between ERP system and target enterprise, and to implement the SAP for the case Note. Past study also mentioned, in addition to systems and functions can’t match, the organization issue is an important factor in the success of the information project.
This research is based on past research that developed a methodology of SAP solution with appropriate analysis methods. In addition to the objectives, processes and data outputs and the degree of fitness of the past study take into account, the Organization issues will also be included in the considerations. In the factors of organization, we consider employees’ management concepts, information capacity and the degree of resistance to assess the future resistance that may arise. Finally, this article operates a real case from hospital that can provide the feasibility of the study.
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