Editors:
- Reports on methods for optimal human resource management in business organizations
- Focuses on reducing complexity in resource management and leadership
- Describes practical approaches for improving learning in organizational settings
- Reports on competency-based education and personalized learning
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 594)
Conference series link(s): AHFE: International Conference on Applied Human Factors and Ergonomics
Conference proceedings info: AHFE 2017.
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Table of contents (50 papers)
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Front Matter
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Business Development and Applications
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Front Matter
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Other Volumes
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Advances in Human Factors, Business Management and Leadership
About this book
Keywords
- Creating Shared Value (CSV)
- Managing Human Competences
- Human Object Ontologies
- Company Democracy
- Co-evolute Paradigm
- Value Added
- Game-Based Learning
- eLearning
- Organizational Behavior
- Gender and Leadership
- Teaching Strategies
- Human-Centered Learning
- Leadership Style
- Sustainable Growth Culture
- Networking Culture
- Safety Culture
- AHFE 2017 Proceedings
Editors and Affiliations
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Belgafik Oy, University of Vaasa, Vaasa, Finland
Jussi Ilari Kantola
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University of Szeged, Szeged, Hungary
Tibor Barath
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Institute of Maritime Operations, University College of Southeast Norway, Borre, Norway
Salman Nazir
Bibliographic Information
Book Title: Advances in Human Factors, Business Management and Leadership
Book Subtitle: Proceedings of the AHFE 2017 International Conferences on Human Factors in Management and Leadership, and Business Management and Society, July 17−21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA
Editors: Jussi Ilari Kantola, Tibor Barath, Salman Nazir
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-60372-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Softcover ISBN: 978-3-319-60371-1Published: 14 June 2017
eBook ISBN: 978-3-319-60372-8Published: 30 June 2017
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XIII, 540
Number of Illustrations: 130 b/w illustrations
Topics: Computational Intelligence, Human Resource Management, Data Mining and Knowledge Discovery, Business Strategy/Leadership, Operations Research/Decision Theory