Special Issue "Social Computing for Knowledge Management"
A special issue of Informatics (ISSN 2227-9709).
Deadline for manuscript submissions: closed (30 April 2016)
Prof. Dr. Remo Pareschi
Associate Professor of Computer Science Program, Department of Bioscience and Territory, University of Molise, Contrada di Fonte Lappone, 86090 Pesche (IS), Italy
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Interests: Social Computing, Knowledge Management, Collective Intelligence, Content Analysis, Natural Language Man–Machine Interfaces
Knowledge Management (KM) was introduced in the 1990s, in consequence of the recognition that the value of enterprises is determined by the knowledge they produce and transform, at least as much as by the material goods and the financial assets that they possess. Therefore, organizational knowledge, to be maximized, best exploited, maintained, and increased over time, must be appropriately managed. Foremost among the concepts that emerged at this stage were the dual ones of "tacit knowledge" and of "explicit knowledge" and the knowledge life-cycle, which concerns the transformation of tacit knowledge into explicit knowledge and vice versa, and thus highlights the dynamism and the fluidity of knowledge compared to the static nature of traditional corporate assets. However, even if aimed at capturing organizational fluidity at the very time of its inception, KM was superimposed with the information technology characteristic of the 1990s, strongly oriented towards hierarchical control and rigidly structured processes. This created an inherent contradiction and partially hindered the effectiveness of KM methodologies. We are now midway of the second decade of the new century, and, in the meantime, many things have happened in the direction of Social Computing. In particular there has been the first wave of the Web, and then Web 2.0, the blogosphere and, most of all, social networks. These new ways of social interaction through computer systems are transferable from the general context of the Internet to corporate intranets, where they provide support to KM through an IT finally appropriate to the fluid and social nature of organizational knowledge. This Special Issue seeks submissions offering research results and case studies that advance the state of the art of the methodologies aimed at the application of Social Computing to the support of Knowledge Management and that are concerned with (but not limited to) the following topics:
Prof. Dr. Remo Pareschi
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Informatics is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- corporate social media
- corporate wikis
- corporate storytelling
- enterprise crowdsourcing
- enterprise ecosystems
- enterprise social networks
- knowledge life-cycle
- knowledge management
- organizational social network analysis
- sentiment analysis
- social capital
- social computing
- social software
- topic analysis