Journal ArticleDOI
Social media? Get serious! Understanding the functional building blocks of social media
TLDR
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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A dynamic framework for managing customer engagement on social media
TL;DR: In this paper, the authors propose a dynamic framework addressing four distinct levels of customer engagement on social media, in addition to identifying appropriate measurements for each level, and propose an empirically grounded framework with appropriate measures to assess customer engagement.
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Comparing the Effects of E-Government and Social Media Use on Trust in Government: Evidence from Seoul, South Korea
TL;DR: Lee et al. as mentioned in this paper examined how citizens' use of government social media accounts and e-government websites relate to perceptions of government trustworthiness and found that greater use of e-Government websites for information by citizens is negatively associated with perceptions of trustworthiness, whereas greater usage of government Twitter accounts is positively associated with trustworthiness.
Journal Article
Global social knowledge management: from barriers to the selection of social tools
TL;DR: This paper introduces the field of Global Social Knowledge Management (GSKM), outlining the research field of globally distributed Social Softwaresupported Knowledge Management and discussing current research efforts on the main components.
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Gender differences in the climate change communication on Twitter
Kim Holmberg,Iina Hellsten +1 more
TL;DR: It is indicated that overall male and female tweeters use very similar language in their tweets, but clear differences were observed in the use of hashtags and usernames, withfemale tweeters mentioning significantly more campa...
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Generating consumer resonance for purchase intention on social network sites
TL;DR: The study results show that utilitarian value, tie strength, normative influence, information influence, and self-presentation have significant effects on customer resonance, which in turn influences purchase intention for successful consumer-brand relationship.
References
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Journal ArticleDOI
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.