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001 ovld002108149
003 UtOrBLW
005 20210303085004.0
006 m o d
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008 170609s2017 enk ob 001 0 eng d
020 _a9781787141124 (e-book)
040 _aUtOrBLW
050 4 _aHM533
_b.G56 2017
072 7 _aJFFP
_2bicssc
_2bicssc
072 7 _aBUS090010
_2bisacsh
_2bisacsh
080 _a311.2
082 0 4 _a301.0727
_223
100 1 _aGloor, Peter A.
_q(Peter Andreas),
_d1961-
_eauthor.
245 1 0 _aSociometrics and human relationships :
_banalyzing social networks to manage brands, predict trends, and improve organizational performance /
_cPeter A. Gloor.
264 1 _bEmerald Publishing Limited,
300 _a1 online resource (200) pages
504 _aIncludes bibliographical references and index.
520 _aSociometrics 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.
588 0 _aPrint version record
650 0 _aSociometry.
650 0 _aSocial networks.
650 7 _aBusiness & Economics
_xE-Commerce / Internet Marketing.
_2bisacsh
650 7 _aSocial interaction.
_2bicssc
776 _z9781787141131
856 4 0 _uhttps://www.emerald.com/insight/publication/doi/10.1108/9781787141124
999 _c30367
_d30367