2016
DOI: 10.3390/informatics3030011
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Social Media Systems in the Workplace: Toward Understanding Employee Knowledge Creation via Microblogging within Shared Knowledge Domains

Abstract: Adoption of social media systems (SMS), proprietary microblogging platforms in particular, for the purposes of information sharing has been increasingly on the rise among corporations. While Twitter is the preferred microblogging tool by the general public, there is scant research to address its viability as a conduit to facilitate knowledge creation among corporate users. As a result, this conceptual paper explores seven crucial Twitter features and derives to seven propositions that demonstrate how microblog… Show more

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Cited by 10 publications
(17 citation statements)
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“…He proposed a model on social networking specific features, which may raise the staff's consumptive and contributive use. Although Cleveland (2016) did not develop an instrument (i.e., survey) to measure the study's factors, he left it incomplete. On the other side, he stated that new social networking platforms (i.e., Yammer, Slack and Microsoft Teams) with alternative characteristics might impact community knowledge formation practices differently (Cleveland, 2016).…”
Section: Literature Reviewmentioning
confidence: 99%
See 4 more Smart Citations
“…He proposed a model on social networking specific features, which may raise the staff's consumptive and contributive use. Although Cleveland (2016) did not develop an instrument (i.e., survey) to measure the study's factors, he left it incomplete. On the other side, he stated that new social networking platforms (i.e., Yammer, Slack and Microsoft Teams) with alternative characteristics might impact community knowledge formation practices differently (Cleveland, 2016).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Twitter platform restricts posts to 140 characters. Cleveland (2016) claimed that this restraint reduced the user's effort and increased the frequency of content posted on Twitter. Although, enterprise social network is not restricted the textual quantity of user's messages.…”
Section: Feature Valuementioning
confidence: 99%
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