Sociometrics and human relationships: analyzing social networks to manage brands, predict trends, and improve organizational performance
Sociometrics and Human Relationships translates the latest academic research into practical business strategies and techniques as well as actionable insights, providing a wealth of examples for social network analysis and predicting trends. Gloor illustrates how to improve organizational performance...
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Main Author: | |
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Format: | Electronic eBook |
Language: | English |
Published: |
Bingley
Emerald Publishing Limited
2017
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Subjects: | |
Online Access: | DE-634 DE-1043 DE-M347 DE-523 DE-91 DE-473 DE-19 DE-355 DE-703 DE-20 DE-706 DE-824 DE-29 DE-739 DE-1046 Volltext |
Summary: | Sociometrics and Human Relationships translates the latest academic research into practical business strategies and techniques as well as actionable insights, providing a wealth of examples for social network analysis and predicting trends. Gloor illustrates how to improve organizational performance by optimizing communication and collaboration through email. Based on Collaborative Innovation Networks courses which have been taught for over a decade to students forming virtual teams across a number of universities, Gloor shows readers how to leverage virtual collaborative creativity in the Internet age, and helps them understand and apply the dynamics of online communication via a variety of tools. Gloor has also created a tool that analyses all types of social media such as: Twitter, Wikipedia, online blogs and Facebook as well as email or Skype logs to predict election outcomes, perception and strength of brands, customer and employment satisfaction, or fraudulent behavior. Gloor explains how to use his tool, Condor, to visualize, monitor and manage brands, products and topics online, as well as analyzing organizations through their email networks |
Physical Description: | 1 Online-Ressource (200) Seiten |
ISBN: | 9781787141124 |
Staff View
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author | Gloor, Peter A. 1961- |
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spelling | Gloor, Peter A. 1961- Verfasser (DE-588)121712478 aut Sociometrics and human relationships analyzing social networks to manage brands, predict trends, and improve organizational performance Peter A. Gloor Bingley Emerald Publishing Limited 2017 ©2017 1 Online-Ressource (200) Seiten txt rdacontent c rdamedia cr rdacarrier Sociometrics and Human Relationships translates the latest academic research into practical business strategies and techniques as well as actionable insights, providing a wealth of examples for social network analysis and predicting trends. Gloor illustrates how to improve organizational performance by optimizing communication and collaboration through email. Based on Collaborative Innovation Networks courses which have been taught for over a decade to students forming virtual teams across a number of universities, Gloor shows readers how to leverage virtual collaborative creativity in the Internet age, and helps them understand and apply the dynamics of online communication via a variety of tools. Gloor has also created a tool that analyses all types of social media such as: Twitter, Wikipedia, online blogs and Facebook as well as email or Skype logs to predict election outcomes, perception and strength of brands, customer and employment satisfaction, or fraudulent behavior. Gloor explains how to use his tool, Condor, to visualize, monitor and manage brands, products and topics online, as well as analyzing organizations through their email networks Business & Economics E-Commerce / Internet Marketing Social interaction Social networks Sociometry Soziales Netzwerk (DE-588)4055762-5 gnd rswk-swf Soziometrie (DE-588)4055932-4 gnd rswk-swf Soziometrie (DE-588)4055932-4 s Soziales Netzwerk (DE-588)4055762-5 s DE-604 Erscheint auch als Druckausgabe 9781787141131 https://www.emerald.com/insight/publication/doi/10.1108/9781787141124 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Gloor, Peter A. 1961- Sociometrics and human relationships analyzing social networks to manage brands, predict trends, and improve organizational performance Business & Economics E-Commerce / Internet Marketing Social interaction Social networks Sociometry Soziales Netzwerk (DE-588)4055762-5 gnd Soziometrie (DE-588)4055932-4 gnd |
subject_GND | (DE-588)4055762-5 (DE-588)4055932-4 |
title | Sociometrics and human relationships analyzing social networks to manage brands, predict trends, and improve organizational performance |
title_auth | Sociometrics and human relationships analyzing social networks to manage brands, predict trends, and improve organizational performance |
title_exact_search | Sociometrics and human relationships analyzing social networks to manage brands, predict trends, and improve organizational performance |
title_exact_search_txtP | Sociometrics and human relationships analyzing social networks to manage brands, predict trends, and improve organizational performance |
title_full | Sociometrics and human relationships analyzing social networks to manage brands, predict trends, and improve organizational performance Peter A. Gloor |
title_fullStr | Sociometrics and human relationships analyzing social networks to manage brands, predict trends, and improve organizational performance Peter A. Gloor |
title_full_unstemmed | Sociometrics and human relationships analyzing social networks to manage brands, predict trends, and improve organizational performance Peter A. Gloor |
title_short | Sociometrics and human relationships |
title_sort | sociometrics and human relationships analyzing social networks to manage brands predict trends and improve organizational performance |
title_sub | analyzing social networks to manage brands, predict trends, and improve organizational performance |
topic | Business & Economics E-Commerce / Internet Marketing Social interaction Social networks Sociometry Soziales Netzwerk (DE-588)4055762-5 gnd Soziometrie (DE-588)4055932-4 gnd |
topic_facet | Business & Economics Social interaction Social networks Sociometry Soziales Netzwerk Soziometrie |
url | https://www.emerald.com/insight/publication/doi/10.1108/9781787141124 |
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