Decision-Making in Management / Contributions to Management Science (PDF)
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Making important business decisions is usually a difficult and complicated task. In the modern economy where businesses have to solve increasingly complex decision-making problems, it is important to learn and use methods and techniques including the analysis of behavioral data to support decision-making in practice.
This book presents various methods and solutions to problems in modern data acquisition techniques and practical aspects of decision making. In particular, it addresses such important issues as: business decision making, multi-criteria decision analysis (MCDA), multidimensional comparative analysis (MCA), decision games and data acquisition techniques for decision making (declarative techniques and cognitive neuroscience techniques). Important topics such as consumers' rational behavior, environmental management accounting, operational research methods, neuroscience including epigenetics, DEA analysis etc., as well as case studies related to decision making in management are also included.
Malgorzata Latuszynska is Professor and Head of the Department of Economic Processes Modelling and Simulation Methods and Vice-Dean for Student Affairs in Institute of IT in Management in The Faculty of Economics and Management and Vice-president of Center of Knowledge and Technology Transfer at University of Szczecin (Poland). Prof. Latuszynska is author of over 170 publications mainly from the scope of simulation methods and tools of computer science in economics, management and transport.
- 2021, 1st ed. 2021, 395 Seiten, Englisch
- Herausgegeben: Kesra Nermend, Malgorzata Latuszynska, Eleftherios Thalassinos
- Verlag: Springer International Publishing
- ISBN-10: 3030670201
- ISBN-13: 9783030670207
- Erscheinungsdatum: 10.08.2021
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- Größe: 9.52 MB
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