Bpmn The Business Process Modeling Notation Pocket Handbook
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BPMN, the Business Process Modeling Notation Pocket Handbook
The BPMN Business Process Modeling Notation, Pocket Handbook is addressed to the individuals involved in a Business Process Management initiative. This handbook can be used both by the analyst and the IT developer in a design or improve of the enterprise business processes. Based on the BPMN specification 1.0 and 1.1, it describes clearly all elements of the notation in addition of some samples.
Organizational Change and Information Systems
Author: Paolo Spagnoletti
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-05-18
This book examines a range of issues emerging from the interaction of Information Technologies and organizational systems. It contains a collection of research papers focusing on themes of growing interest in the field of Information Systems, Organization Studies, and Management. The book offers a multidisciplinary view on Information Systems aiming to disseminate academic knowledge. It might be particularly relevant to IT practitioners such as information systems managers, business managers and IT consultants. The volume is divided into six sections, each one focusing on a specific theme. The content of each section is based on a selection of the best papers (original double blind peer reviewed contributions) presented at the annual conference of the Italian chapter of AIS, which has been held in Rome, Italy in September 2012.
Rough Sets: Selected Methods and Applications in Management and Engineering
Author: Georg Peters
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-02-21
Rough Set Theory, introduced by Pawlak in the early 1980s, has become an important part of soft computing within the last 25 years. However, much of the focus has been on the theoretical understanding of Rough Sets, with a survey of Rough Sets and their applications within business and industry much desired. Rough Sets: Selected Methods and Applications in Management and Engineering provides context to Rough Set theory, with each chapter exploring a real-world application of Rough Sets. Rough Sets is relevant to managers striving to improve their businesses, industry researchers looking to improve the efficiency of their solutions, and university researchers wanting to apply Rough Sets to real-world problems.