research-article

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

Authors:

Shiri Kremer-Davidson,

Michal JacoviAuthors Info & Claims

CSCW '14: Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing

Pages 393 - 404

https://doi.org/10.1145/2531602.2531662

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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Cited By

Schötteler SLaumer SSchuhbauer H(2023)Consequences of Enterprise Social Media Network Positions for EmployeesBusiness & Information Systems Engineering10.1007/s12599-023-00803-065:4(425-440)Online publication date: 4-Apr-2023
https://doi.org/10.1007/s12599-023-00803-0
Kim B(2020)Effects of Social Grooming on Incivility in COVID-19Cyberpsychology, Behavior, and Social Networking10.1089/cyber.2020.020123:8(519-525)Online publication date: 1-Aug-2020
https://doi.org/10.1089/cyber.2020.0201
Sun YWu LChen RLin KShang R(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
https://doi.org/10.1080/10864415.2020.1767430
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Index Terms

Most liked, fewest friends: patterns of enterprise social media use
1. Human-centered computing
  1. Collaborative and social computing

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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

General Chairs:
Susan Fussell
Cornell University
,
Wayne Lutters
University of Maryland, Baltimore County
,
Program Chairs:
Meredith Ringel Morris
Microsoft Research
,
Madhu Reddy
Penn State University

Copyright © 2014 ACM.

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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CSCW'14

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CSCW'14: Computer Supported Cooperative Work

February 15 - 19, 2014

Maryland, Baltimore, USA

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CSCW '14 Paper Acceptance Rate 134 of 497 submissions, 27%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

Schötteler SLaumer SSchuhbauer H(2023)Consequences of Enterprise Social Media Network Positions for EmployeesBusiness & Information Systems Engineering10.1007/s12599-023-00803-065:4(425-440)Online publication date: 4-Apr-2023
https://doi.org/10.1007/s12599-023-00803-0
Kim B(2020)Effects of Social Grooming on Incivility in COVID-19Cyberpsychology, Behavior, and Social Networking10.1089/cyber.2020.020123:8(519-525)Online publication date: 1-Aug-2020
https://doi.org/10.1089/cyber.2020.0201
Sun YWu LChen RLin KShang R(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
https://doi.org/10.1080/10864415.2020.1767430
Sun YZhu MZhang Z(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
https://doi.org/10.3390/su11102794
Haugsbakken H(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
https://doi.org/10.18261/issn.1504-3134-2019-01-06
Dittes SSmolnik S(2019)Towards a digital work environment: the influence of collaboration and networking on employee performance within an enterprise social media platformJournal of Business Economics10.1007/s11573-019-00951-489:8-9(1215-1243)Online publication date: 4-Oct-2019
https://doi.org/10.1007/s11573-019-00951-4
Kremer-Davidson SRonen ILeiba LKaplan ABarnea MBerkovsky SHijikata YRekimoto JBurnett MBillinghurst MQuigley A(2018)Personal Recommendations for Raising Social Eminence in an EnterpriseProceedings of the 23rd International Conference on Intelligent User Interfaces10.1145/3172944.3172956(629-639)Online publication date: 5-Mar-2018
https://dl.acm.org/doi/10.1145/3172944.3172956
Aldhafferi N(2018)The Dark Side of Digital Technologies2018 21st Saudi Computer Society National Computer Conference (NCC)10.1109/NCG.2018.8593065(1-6)Online publication date: Apr-2018
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Haddud AKhare A(2018)The Impact of Digitizing Supply Chains on Lean OperationsMarktorientiertes Produkt- und Produktionsmanagement in digitalen Umwelten10.1007/978-3-658-21637-5_3(27-46)Online publication date: 22-Apr-2018
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Leonardi PVaast E(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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