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Most liked, fewest friends: patterns of enterprise social media use

Published: 15 February 2014 Publication History

Abstract

Enterprise social media can provide visibility of users' actions and thus has the potential to reveal insights about users in the organization. We mined large-scale social media use in an enterprise to examine: a) user roles with such broad platforms and b) whether people with large social networks are highly regarded. First, a factor analysis revealed that most variance of social media usage is explained by commenting and 'liking' behaviors while other usage can be characterized as patterns of distinct tool usage. These results informed the development of a model showing that online network size interacts with other media usage to predict who is highly assessed in the organization. We discovered that the smaller one's online social network size in the organization, the more highly assessed they were by colleagues. We explain this inverse relationship as due to friending behavior being highly visible but not yet valued in the organization.

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    cover image ACM Conferences
    CSCW '14: Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
    February 2014
    1600 pages
    ISBN:9781450325400
    DOI:10.1145/2531602
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 15 February 2014

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    Author Tags

    1. collaboration
    2. enterprise
    3. factor analysis
    4. network size
    5. social media
    6. social media platform

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    February 15 - 19, 2014
    Maryland, Baltimore, USA

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    • (2020)Enterprise Social Software Platforms and Team ImprovisationInternational Journal of Electronic Commerce10.1080/10864415.2020.176743024:3(366-390)Online publication date: 3-Aug-2020
    • (2019)How Newcomers’ Work-Related Use of Enterprise Social Media Affects Their Thriving at Work—The Swift Guanxi PerspectiveSustainability10.3390/su1110279411:10(2794)Online publication date: 16-May-2019
    • (2019)A Research Literature Study of Enterprise SocialMedia Platforms in OrganizationsBeta10.18261/issn.1504-3134-2019-01-0633:1(84-112)Online publication date: 7-May-2019
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    • (2017)Social Media and Their Affordances for Organizing: A Review and Agenda for ResearchAcademy of Management Annals10.5465/annals.2015.014411:1(150-188)Online publication date: Jan-2017
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