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
- Discusses competency-based education and personalized learning
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 783)
Conference series link(s): AHFE: International Conference on Applied Human Factors and Ergonomics
Conference proceedings info: AHFE 2018.
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Table of contents (67 papers)
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Front Matter
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Business Development Applications
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Front Matter
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Other Volumes
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Advances in Human Factors, Business Management and Society
About this book
This book presents practical approaches for facilitating the achievement of excellence in the management and leadership of organizational resources. It shows how the principles of creating shared value can be applied to ensure faster learning, training, business development, and social renewal. In particular, it presents novel methods and tools for tackling the complexity of management and learning in both business organizations and society. Discussing ontologies, intelligent management systems, methods for creating knowledge and value added, it offers novel insights into time management and operations optimization, as well as advanced methods for evaluating customers’ satisfaction and conscious experience. Based on two conferences, the AHFE 2018 International Conference on Human Factors, Business Management and Society, and the AHFE 2018 International Conference on Human Factors in Management and Leadership, held on July 21–25, 2018, in Orlando, Florida, USA, the book provides bothresearchers and professionals with new tools and inspiring ideas for achieving excellence in various business activities.
Chapter “Convolutional Gravitational Models for Economic Exchanges: Mathematical Extensions for Dynamic Processes and Knowledge Flows” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Keywords
- Co-Evolutionary Management
- Personnel Competencies Analysis
- Design Thinking Applications in Business
- Use of Employer-Rating Platforms
- Strategic Human Resource Management
- Talent Acquisition
- Training Programs for Young Professionals
- Analysis of Skill Requirements
- Detecting Happiness in Organization
- Measuring Product Success
- Modeling Risk Management
- Safe Patient Handling Methods
- Simultaneous Optimization of Response Variables
- Participatory Design in Business
- Human Object Ontologies Methods
- Network-Based Innovation
- Knowledge Based Management
- AHFE 2018 Proceedings
- Engineering Economics
Editors and Affiliations
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School of Technology and Innovations, University of Vaasa, Vaasa, Finland
Jussi Ilari Kantola
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Institute of Maritime Operations, University College of Southeast Norway, Borre, Norway
Salman Nazir
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Hungarian-Netherlands School of Educational Management, University of Szeged, Szeged, Hungary
Tibor Barath
Bibliographic Information
Book Title: Advances in Human Factors, Business Management and Society
Book Subtitle: Proceedings of the AHFE 2018 International Conference on Human Factors, Business Management and Society, July 21-25, 2018, Loews Sapphire Falls Resort at Universal Studios, Orlando, Florida, USA
Editors: Jussi Ilari Kantola, Salman Nazir, Tibor Barath
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-94709-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Softcover ISBN: 978-3-319-94708-2Published: 27 June 2018
eBook ISBN: 978-3-319-94709-9Published: 26 June 2018
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XVII, 699
Number of Illustrations: 68 b/w illustrations, 88 illustrations in colour
Topics: Engineering Economics, Organization, Logistics, Marketing, Business Strategy/Leadership, Data Mining and Knowledge Discovery, Human Resource Management, Operations Research/Decision Theory, Computational Intelligence