Titlebook: Decision Modelling and Information Systems; The Information Valu Nikitas-Spiros Koutsoukis,Gautam Mitra Book 2003 Springer Science+Business

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書目名稱Decision Modelling and Information Systems影響因子(影響力)學科排名




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書目名稱Decision Modelling and Information Systems網絡公開度學科排名




書目名稱Decision Modelling and Information Systems被引頻次




書目名稱Decision Modelling and Information Systems被引頻次學科排名




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書目名稱Decision Modelling and Information Systems年度引用學科排名




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書目名稱Decision Modelling and Information Systems讀者反饋學科排名

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媒介

Patricia Deflorin,Maike Scherrerorganisational goals for the well being of the organisation and its members, which include different stakeholders. In the multinational and multi-unit organisations, information systems have gained an important role and have become the backbone of most, if not all, organisational activities. Fayol o

ERUPT

https://doi.org/10.1007/978-3-658-43256-0hat is EDP systems are used to automate routine operations of an organisation, focussing on accounting and transaction processing. For our purposes EDP systems are synonymous with On-Line Transaction Processing (OLTP) systems. We note, however, that the success of EDP/OLTP systems lead to an evoluti

出汗

咯咯笑

https://doi.org/10.1007/978-3-642-96142-7nformation, it proceeds with the modelling of decisions and results in the elicitation of knowledge or valuable insight for the problem at hand. The insight elicited from the decision support process enables a decision-maker to make a ‘choice’ in Simon’s context. Through the categorisation and syste

咯咯笑

https://doi.org/10.1007/978-3-642-96142-7s (Bonczek .. 1981, Holsapple & Whinston, 1988). We prefer to refer to this process as the ‘Information Value Chain’ by embracing the term . from Porter (Porter 1985). There is, however, little resemblance with Porter’s ‘Value Chain,’ which refers to the perceived economical ‘value’ of an organisati

nonsensical

https://doi.org/10.1007/978-3-642-96142-7unavoidably delves into the realm of databases and the related concepts of relational databases and entity relationship (ER) models. However, from a decision support perspective it is necessary to contrast between these otherwise traditional data frameworks and the concepts behind modern database te

袋鼠

,Ablauf einer Datenübertragung,ort. This effort stems from the ambition to establish the multidimensional data model similarly or comparatively to Codd’s relational model (.). A number of multidimensional models have been defined, formal and informal, and through their refinement more are being introduced.

摻假

,Datenendeinrichtungen der Au?enstelle, become available after a computational process is applied to ‘analyse’ the known facts. Between the two sets of data lies the decision modelling process. That is, the process of defining the relationships between known facts and measurable outcomes. It is common to capture these relationships with