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Computational Methods to Examine Team Communication

When and How to Change the Conversation

  • Sara McComb
  • Deanna Kennedy
Book
  • 585 Downloads

Part of the Computational Social Sciences book series (CSS)

Table of contents

  1. Front Matter
    Pages i-xx
  2. Sara McComb, Deanna Kennedy
    Pages 1-16
  3. Sara McComb, Deanna Kennedy
    Pages 17-40
  4. Sara McComb, Deanna Kennedy
    Pages 41-55
  5. Sara McComb, Deanna Kennedy
    Pages 57-78
  6. Sara McComb, Deanna Kennedy
    Pages 79-104
  7. Sara McComb, Deanna Kennedy
    Pages 105-129
  8. Sara McComb, Deanna Kennedy
    Pages 131-160
  9. Sara McComb, Deanna Kennedy
    Pages 161-175
  10. Back Matter
    Pages 177-196

About this book

Introduction

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.

Keywords

team communication book computational social science tutorials project team management text team performance lit longitudinal research methods recurrence analysis event history analysis intensity modeling

Authors and affiliations

  • Sara McComb
    • 1
  • Deanna Kennedy
    • 2
  1. 1.School of Nursing and School of Industrial EngineeringPurdue UniversityWest LafayetteUSA
  2. 2.School of BusinessUniversity of Washington BothellBothellUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-36159-4
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-030-36158-7
  • Online ISBN 978-3-030-36159-4
  • Series Print ISSN 2509-9574
  • Series Online ISSN 2509-9582
  • Buy this book on publisher's site