Mixed Intelligent Systems

Developing Models for Project Management and Evaluation
Softcover Nachdruck of the original 1. Auflage 2018
ISBN: 978-3-030-08188-1
Verlag: Springer International Publishing

Buch, Englisch, 123 Seiten, Paperback, Format (B × H): 148 mm x 210 mm, Gewicht: 187 g

Correctly functioning evaluation systems directly influence the efficient and effective planning and implementation of projects and the achievement of organisational objectives. This book critically analyses the results of research dedicated to mixed intelligent systems for project evaluation, taking into account the current state of knowledge in the field of project management. It argues for the need to move away from classical concepts and deploy interdisciplinary research methods in the development of comprehensive project evaluation systems. Considering contemporary issues relating to project evaluation, the author deals with both quantitative and qualitative evaluation methods and the problems surrounding systems that integrate them, before discussing the process of modelling mixed intelligent systems. Mixed Intelligent Systems makes a thought-provoking case for harnessing interdisciplinary methods and new ideas in project management research when developing evaluation systems.

Zielgruppe

Research

Autoren/Hrsg.

Grzeszczyk, Tadeusz A.

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Management Projektmanagement

Inhaltsverzeichnis

1.      Introduction 2.      Basic Aspects Related to Project Evaluation2.1  Terminology Issues2.2  Project Evaluation Criteria2.3  Systems, Methods, Techniques and Tools in Project Evaluation 2.4  Comprehensive and Complex Evaluation Systems2.5  AI Systems for Evaluation2.6  Quantitative versus Qualitative Methods 3.      Quantitative Evaluation Methods3.1 Primary and Secondary Data3.2 Surveys3.3 Statistical Analysis3.4 Quantitative Evaluation Based on AI 4.      Qualitative Evaluation Methods4.1 Qualitative Research4.2 Fieldwork Observation4.3 Logic Models4.4 New Qualitative Intelligent Systems 5.      Principles of Integrated Evaluation Systems5.1 Philosophical Considerations5.2 The Need for New Paradigms in Evaluation5.3 Systems Approaches in Project Management and Evaluation5.4 Integral Theory and Evaluation Systems 5.5 Mixed Systems Studies Introduction 6.      Modeling Mixed Intelligent Systems6.1 Research Questions6.2 Model Assumptions6.3 Building Integral Multi-Level Evaluation Model6.4 Designs and Selection of Mixed Intelligent Systems6.5 Development of Evaluation Systems 7.      Summary

Über Autor(innen)

Tadeusz A. Grzeszczyk is Associate Professor in the Faculty of Management, Warsaw University of Technology, Poland. His research interests include project management, program evaluation, sustainability in management and evaluation, knowledge management systems and artificial intelligence. He has published over a hundred papers on management and economic sciences and several books. He is a member of the Scientific Council of the Polish Economic Society.