Authors:
- Describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development
- Approaches enable precise prediction of product development performance
- Valuable for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications
Part of the book series: Computational Intelligence Methods and Applications (CIMA)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications.
Authors and Affiliations
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Faculty of Economics and Management, University of Zielona Góra, Zielona Góra, Poland
Marcin Relich
About the author
Dr. Marcin Relich is a member of the Faculty of Economics and Management of the University of Zielona Gora. He is a lecturer in the Dept. of Controlling and Computer Applications in Economics, where he teaches IT in Economics and Management, Business Data Analysis, Management Information Systems, Decision-Support Systems, Decision Analysis, Business Simulations, and Project Management. His research interests include Management Information Systems (incl. Decision-Support Systems and Enterprise Resource Planning Systems), Project Management (incl. new product development), and early warning systems in business.
Bibliographic Information
Book Title: Decision Support for Product Development
Book Subtitle: Using Computational Intelligence for Information Acquisition in Enterprise Databases
Authors: Marcin Relich
Series Title: Computational Intelligence Methods and Applications
DOI: https://doi.org/10.1007/978-3-030-43897-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-43896-8Published: 23 November 2020
Softcover ISBN: 978-3-030-43899-9Published: 23 November 2021
eBook ISBN: 978-3-030-43897-5Published: 22 November 2020
Series ISSN: 2510-1765
Series E-ISSN: 2510-1773
Edition Number: 1
Number of Pages: XII, 114
Number of Illustrations: 39 b/w illustrations, 16 illustrations in colour
Topics: Artificial Intelligence, Computational Intelligence, Innovation/Technology Management