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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
Citations
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Impact of social media activity outcomes on brand equity
TL;DR: In this article, a hierarchical regression analysis was performed to evaluate the impact of various social media activity outcomes on brand equity and the classification of firms which benefit from the various types of social media activities.
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Internet and social media usage of orthopaedic patients: A questionnaire-based survey
Tahir Mutlu Duymus,Hilmi Karadeniz,Mehmet Akif Çaçan,Baran Kömür,Abdullah Demirtaş,Sinan Zehir,Ibrahim Azboy +6 more
TL;DR: Patients have been increasingly using the internet and social media to select a specific physician or to seek solution to their health problems in an effective way, and there is still much obscurity regarding their harms.
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Social Media and Large Carnivores: Sharing Biased News on Attacks on Humans
Veronica Nanni,Veronica Nanni,Enrico Caprio,Giulia Bombieri,Giulia Bombieri,Stefano Schiaparelli,Carlo Chiorri,Stefano Mammola,Stefano Mammola,Paolo Pedrini,Vincenzo Penteriani +10 more
TL;DR: In this paper, the authors investigated how reports of predator attacks on humans published in online newspapers spread on the Internet and social media, and explored the contribution of four factors in driving the number of total shares (NTS) of news reports on SM: the graphic/sensationalistic content, the presence of images, the species, as well as the newspaper coverage.
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Consumer-Generated Reviews on Social Media and Brand Relationship Outcomes in the Fast-Food Chain Industry
TL;DR: A number of studies agree on the fact that social media users tend to trust more the contents created by other users than those generated by companies' marketing departments or advertising agencies as discussed by the authors.
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Marketing-sales-service interface and social media marketing influence on B2B sales process
TL;DR: In this paper, the authors investigated the impact of social media marketing on the B2B sales process and found a significant hierarchical influence of Facebook, LinkedIn and Twitter on sales process.
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.