Journal ArticleDOI
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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Do your employees think your slogan is “fake news?” A framework for understanding the impact of fake company slogans on employees
TL;DR: In this article, the authors connect the phenomenon of fake news with company slogans and explore how this stakeholder can perceive and be impacted by different types of slogan fakeness (narcissistic, foreign, and corrupt).
Journal ArticleDOI
Energising the political movements in developing countries: The role of social media
M. Karim Sorour,Bidit Lal Dey +1 more
TL;DR: The success stories of the Occupy movements, anti-globalisation demonstrations in the West, mass protests at Tahrir Square in Cairo and Taksim Square in Istanbul, demonstrations against sexual harassment in Delhi and the Shahbag Square uprising in Bangladesh all underpin the fact that in both developed and developing societies, social media can potentially play an important role in organizing large scale socio-political events as discussed by the authors.
Book ChapterDOI
Positional Behaviour and Substrate Preference of Slow Lorises, with a Case Study of Nycticebus bengalensis in Northeast India
Nabajit Das,K. A. I. Nekaris +1 more
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The brand personalities of brand communities: an analysis of online communication
TL;DR: The nature of online brand communities is examined by means of computerized content analysis to understand whether the brand personality of an online brand community, rather than of the brand itself, can be deduced from the online communication within that brand community.
Journal ArticleDOI
Digital traces for business intelligence: A case study of mobile telecoms service brands in Greece
TL;DR: The approach of using virtual excavations to extract BI from virtual communities in online SM offers a systematic approach for dealing with a variety of information from a range of different media that is not found in techniques based on information systems or management science.
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.
Journal ArticleDOI
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.