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Titlebook: Experimental Learning in Production Management; IFIP TC5 / WG5.7 Thi Riitta Smeds,Jens O. Riis Book 1998 IFIP International Federation for

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51#
發(fā)表于 2025-3-30 12:11:04 | 只看該作者
Enterprise Simulation Laboratory for simulation games in virtual realitye need for visual, interactive enterprise simulation models is put forward. Thereafter, a classification of enterprise simulation models is presented, and the state of the art in enterprise simulation games is analyzed. To fill the gaps in both manual and computer supported enterprise simulations, t
52#
發(fā)表于 2025-3-30 14:09:40 | 只看該作者
Tailored simulation games for successful business process developmenttation of a new process is present, already at the beginning of the project. The Softmatch Method is developed for this priviation. This article describes the principles of the Softmatch Method, and some empirical experiences. The Softmatch Method is a participative, systematic method, which is usin
53#
發(fā)表于 2025-3-30 17:17:21 | 只看該作者
Participative Simulation Game as Facilitator of Organizational Development Process — Two case studietool in different phases of the organizational change process; in analysis, planning, testing, and implementation phase. According to the research results the participative simulation game method has proven to be an effective facilitator of the organizational change process..The paper in based on a
54#
發(fā)表于 2025-3-30 21:04:53 | 只看該作者
How to disseminate knowledge and skills from using a tailored simulation game self-directed learning and development activities in work organisations. This article focuses on spreading of methodological competencies of using a tailored, social simulation game called the Work Flow Game, which has proved very effective for business process development. Experiences of a learnin
55#
發(fā)表于 2025-3-31 03:01:43 | 只看該作者
Handling the unexpected — a case study of computer support for workplace learning in chemical industction disturbances. In this case study the effects on work knowledge caused by automation at a chemical industry is studied, and possibilities for overcoming negative effects of automation with computer-supported learning are explored. The aim is to develop a learning environment where a continuous
56#
發(fā)表于 2025-3-31 08:53:09 | 只看該作者
57#
發(fā)表于 2025-3-31 12:08:55 | 只看該作者
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