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Social media? Get serious! Understanding the functional building blocks of social media
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In this article, the authors present a framework that defines social media by using seven functional building blocks: identity, conversations, sharing, presence, relationships, reputation, and groups, and explain the implications that each block can have for how firms should engage with social media.About:
This article is published in Business Horizons.The article was published on 2011-05-01. It has received 3073 citations till now. The article focuses on the topics: Social media & User-generated content.read more
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Social Media Conceptualization and Taxonomy: A Lasswellian Framework
TL;DR: The authors examined existing scholarly definitions of the term social media through a Lasswellian lens, by applying directed content analysis to a sample of 23 academic definitions retrieved from the top 179 cited papers on social media in the Web of Knowledge database.
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Organisational ambidexterity and supply chain agility: the mediating role of external knowledge sharing and moderating role of competitive intelligence
TL;DR: In this article, the authors investigate the relationship between supply chain agility and its dynamic precursors including organisational ambidexterity and external knowledge sharing and further examine the moderating role of competitive intelligence.
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Analyzing and Mining Comments and Comment Ratings on the Social Web
TL;DR: An in-depth study of commenting and comment rating behavior on a sample of more than 10 million user comments on YouTube and Yahoo! News, which explores the applicability of machine learning and data mining to detect acceptance of comments by the community, comments likely to trigger discussions, controversial and polarizing content, and users exhibiting offensive commenting behavior.
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Consumer characteristics and the use of social networking sites
TL;DR: In this article, the authors examined the impacts of three IT-related consumer characteristics (i.e., privacy concern, consumer innovativeness and propensity to share information) on the use of social networking sites (SNS) and examined if there are cross-national differences in the relationships between consumer characteristics and SNS use.
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Twitter Use During a Weather Event: Comparing Content Associated with Localized and Nonlocalized Hashtags
TL;DR: This article examined a sample of 800 tweets retrieved using localized and national hashtags in the early stage of a major winter storm and found that actionable information appears to be more common with localized hashtags.
References
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The Strength of Weak Ties
TL;DR: In this paper, it is argued that the degree of overlap of two individuals' friendship networks varies directly with the strength of their tie to one another, and the impact of this principle on diffusion of influence and information, mobility opportunity, and community organization is explored.
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Social Network Sites: Definition, History, and Scholarship
danah boyd,Nicole B. Ellison +1 more
TL;DR: This publication contains reprint articles for which IEEE does not hold copyright and which are likely to be copyrighted.
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Users of the world, unite! The challenges and opportunities of Social Media
TL;DR: A classification of Social Media is provided which groups applications currently subsumed under the generalized term into more specific categories by characteristic: collaborative projects, blogs, content communities, social networking sites, virtual game worlds, and virtual social worlds.
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The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits.
TL;DR: In this article, the authors combine the concept of weak ties from social network research and the notion of complex knowledge to explain the role of weak links in sharing knowledge across organization subunits.
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The Network Paradigm in Organizational Research: A Review and Typology
Stephen P. Borgatti,Pacey Foster +1 more
TL;DR: This paper reviewed and analyzed the emerging network paradigm in organizational research and developed a set of dimensions along which network studies vary, including direction of causality, levels of analysis, explanatory goals, and explanatory mechanisms.