Process Management: A Multi-disciplinary Guide To Theory, Modeling, And Methodology by Nadja DamijProcess Management: A Multi-disciplinary Guide To Theory, Modeling, And Methodology by Nadja Damij

Process Management: A Multi-disciplinary Guide To Theory, Modeling, And Methodology

byNadja Damij, Talib Damij

Paperback | August 27, 2016

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Process management affects the functioning of every organization and consequently affects each of us. This book focuses on the multi-disciplinary nature of process management by explaining its theoretical foundations in relation to other areas such as process analysis, knowledge management, and simulation. A crucial linkage between theory and concrete methodology of Tabular Application Development (TAD) is presented as a practical approach consisting of five phases that deal with process identification and modeling, process improvement, development of a process management system and finally - monitoring and maintenance.

This book is important for researchers and students of business and management information systems, especially those dealing with courses on process management or related fields. Managers and professionals in process management will also find this book to be useful for their everyday business.

Nadja Damij is an Associate Professor of Management Information Systems at Faculty of Information Studies in Slovenia. She teaches courses in process management, knowledge management, project management, electronic commerce, and information systems auditing. Her research interests include process management, e-commerce, project managem...
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Title:Process Management: A Multi-disciplinary Guide To Theory, Modeling, And MethodologyFormat:PaperbackDimensions:213 pages, 23.5 × 15.5 × 0.17 inPublished:August 27, 2016Publisher:Springer NatureLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3662512424

ISBN - 13:9783662512425

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Table of Contents

Business Process.- Business Process Modeling.- Business Process Approaches.- Process Analysis.- Knowledge Management.- Simulation.- Data Modeling.- Phase 1: Process Identification.- Phase 2: Process Modeling.- Phase 3: Process Improvement and Innovation.- Phase 4: System Development.- Phase 5: Maintenance.- Case Study.- Phase 4: Systems Development.