Authors:
- Includes examination of longitudinal team communication employing computational methods not often used
- Contains practical, evidence-based insights for managing teams that collaborate under different working conditions
- Conveys educational instruction for researchers interested in learning how to use the computational methods
Part of the book series: Computational Social Sciences (CSS)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
The primary focus of this book is an examination of longitudinal team communication and its impact on team performance. This theoretically-grounded, holistic examination of team communication includes cross-condition comparisons of team (i.e., distributed/in person, unrestricted/time pressured, two performance episodes) and employs multiple quantitative methodological approaches to examine the phenomena of interest.
This book simultaneously provides practical content for researchers and practitioners in the social sciences and humanities. Included are step-by-step instructions for the methodologies employed, and distillations of findings via Managerial Minutes that highlight best practices and/or examples to help enhance team communication in practice.
Authors and Affiliations
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School of Nursing and School of Industrial Engineering, Purdue University, West Lafayette, USA
Sara McComb
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School of Business, University of Washington Bothell, Bothell, USA
Deanna Kennedy
About the authors
Deanna M. Kennedy is an Associate Professor at the University of Washington Bothell in the School of Business. Her research addresses the application of project management through the study of team interactions and showcases a variety of methodological approaches in the team researcher toolkit. Her work has been funded by the Army Research Office and NASA and published in such journals as Journal of Applied Psychology, European Journal of Operational Research, and Decision Sciences.
Bibliographic Information
Book Title: Computational Methods to Examine Team Communication
Book Subtitle: When and How to Change the Conversation
Authors: Sara McComb, Deanna Kennedy
Series Title: Computational Social Sciences
DOI: https://doi.org/10.1007/978-3-030-36159-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-36158-7Published: 08 February 2020
Softcover ISBN: 978-3-030-36161-7Published: 08 February 2021
eBook ISBN: 978-3-030-36159-4Published: 07 February 2020
Series ISSN: 2509-9574
Series E-ISSN: 2509-9582
Edition Number: 1
Number of Pages: XX, 196
Number of Illustrations: 13 b/w illustrations
Topics: Mathematics in the Humanities and Social Sciences, Computational Social Sciences, Project Management, Research Methodology, Organization