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Titlebook: Advances in Enterprise Engineering III; 5th International Wo Antonia Albani,Joseph Barjis,Jan L. G. Dietz Conference proceedings 2009 Sprin

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樓主: Flippant
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發(fā)表于 2025-3-25 07:14:26 | 只看該作者
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發(fā)表于 2025-3-25 10:12:23 | 只看該作者
Pratim K. Chattaraj,Robert G. Parrnstrates that certain types of business process redesign can increase or reduce the amount of external funding that is required to prevent an organisation from defaulting on its debt. This debt defaulting may lead to proliferating liquidity constraints for subsequent supply chain partners. Consequen
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發(fā)表于 2025-3-25 11:44:49 | 只看該作者
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發(fā)表于 2025-3-25 16:49:21 | 只看該作者
Prior Data for Non-target Identification,hysical ones such as communication networks and enterprise premises. As it is well known, these artifacts evolve over time, as well as their relationships. The dynamic nature of such artifacts has been a difficulty not only in modeling but also in keeping enterprise blueprints updated. This paper pr
25#
發(fā)表于 2025-3-25 20:06:35 | 只看該作者
https://doi.org/10.1007/978-3-642-15361-7rise architecture (EA) management. Although the aforementioned fact is widely agreed upon, no generally accepted information model addressing the challenges arising in the context of future planning and historization of management decisions concerning projects yet exists. This paper addresses this c
26#
發(fā)表于 2025-3-26 02:07:28 | 只看該作者
27#
發(fā)表于 2025-3-26 05:02:04 | 只看該作者
Joseph C. Arcos,Mary F. Argus,Yin-tak Wooess Modeling Notation (BPMN), that is becoming an industry standard. However, BPMN has some drawbacks such as the lack of formal semantics, limited potential for verification, and ambiguous description of the constructs. Also the ontology used to model is mostly kept implicit. As a result, BPMN mode
28#
發(fā)表于 2025-3-26 11:17:05 | 只看該作者
29#
發(fā)表于 2025-3-26 14:22:13 | 只看該作者
G. W. A. Milne,J. S. Driscoll,V. E. Marquezwithin the past decade as communication technologies and storage capacities have grown tremendously. The need to analyze this collected data for creating business intelligence and value continues to grow rapidly as more and more apparently unbiased information can be extracted from these data sets.
30#
發(fā)表于 2025-3-26 17:17:30 | 只看該作者
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