| digital ecosystem|
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digital ecosystem is included as keyword or extra keyword in 0 datasets, 0 tools and 6 publications.
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|Title||Author(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|A theoretical framework for healthcare innovation management using wiki based Digital Ecosystem||Fasihuddin H.
|Advanced Materials Research||English||2012||Information Technology innovations have strongly affected today's businesses and the way we work. This effect involves different industries, and the healthcare industry is one of them. Various healthcare information systems have been introduced to manage and share patient records and information. However, based on the reviewed literatures, the healthcare knowledge management system does not have the same focus and attention. It is found that there is no system that is able to manage the tacit healthcare knowledge and innovation. As a result, this paper aims to introduce a theoretical framework that enables healthcare tacit knowledge management and global sharing. Digital Ecosystem is found to be the most suitable technology to achieve this aim; specifically with the wiki environment as it is most suitable for the healthcare industry requirements.||0||0|
|Cyber engineering co-intelligence digital ecosystem: The GOFASS methodology||Leong P.
|2009 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST '09||English||2009||Co-intelligence, also known as collective or collaborative intelligence, is the harnessing of human knowledge and intelligence that allows groups of people to act together in ways that seem to be intelligent. Co-intelligence Internet applications such as Wikipedia are the first steps toward developing digital ecosystems that support collective intelligence. Peer-to-peer (P2P) systems are well fitted to co-Intelligence digital ecosystems because they allow each service client machine to act also as a service provider without any central hub in the network of cooperative relationships. However, dealing with server farms, clusters and meshes of wireless edge devices will be the norm in the next generation of computing; but most present P2P system had been designed with a fixed, wired infrastructure in mind. This paper proposes a methodology for cyber engineering an intelligent agent mediated co-intelligence digital ecosystems. Our methodology caters for co-intelligence digital ecosystems with wireless edge devices working with service-oriented information servers.||0||0|
|Wikis as Digital Ecosystems: An Analysis Based on Authorship||Robert P. Biuk-Aghai
Libby Veng-Sam Tang
|Third IEEE International Conference on Digital Ecosystems and Technologies (DEST 2009), Istanbul, Turkey, 31 May - 3 June 2009||2009||Wikis, best represented by the popular and highly successfulWikipedia system, have established themselves as important componentsof a collaboration infrastructure. We suggest that the complex networkof user-contributors in volunteer-contributed wikis constitutes adigital ecosystem that bears all the characteristics typical of suchsystems. This paper presents an analysis supporting this notion basedon significance of authorship within the wiki. Our findings confirm thehypothesis that large volunteer-contributed wikis are digitalecosystems, and thus that the findings from the digital ecosystemsresearch stream are applicable to this type of system.||0||0|
|Wikis as digital ecosystems: An analysis based on authorship||Biuk-Aghai R.P.
|2009 3rd IEEE International Conference on Digital Ecosystems and Technologies, DEST '09||English||2009||Wikis, best represented by the popular and highly successful Wikipedia system, have established themselves as important components of a collaboration infrastructure. We suggest that the complex network of user-contributors In volunteer-contributed wikis constitutes a digital ecosystem that bears all the characteristics typical of such systems. This paper presents an analysis supporting this notion based on significance of authorship within the wiki. Our findings confirm the hypothesis that large volunteer-contributed wikis are digital ecosystems, and thus that the findings from the digital ecosystems research stream are applicable to this type of system.||0||0|
|Visualization of Interactions in Collaborative Writing||Robert P. Biuk-Aghai
|International Conference on Digital Ecosystems and Technologies||English||February 2008||Wikis have become an important component of a collaboration infrastructure, particularly in loosely-coupled and self-organizing settings such as those of digital ecosystems. We report on our use of wikis in the education doman to support collaborative creative writing, as well as collaborative translation. This paper presents an analysis and visualization tool that we have developed as an aid for assessing both the process and the outcome of these collaborative writing tasks.||16||1|
|Creating critical mass in collaboration systems: Insights from wikipedia||Pattarawan Prasarnphanich
|2008 2nd IEEE International Conference on Digital Ecosystems and Technologies, IEEE-DEST 2008||English||2008||Digital ecosystems that rely on peer production, where users are consumers as well as producers of information and knowledge, are becoming increasingly popular and viable. Supported by Web 2.0 technologies such as wikis, these systems have the potential to replace existing knowledge management systems which generally rely on a small group of experts. The fundamental question for all such systems is under which conditions, the collective acts of knowledge contribution are started and become self-sustaining? Our article addresses this question, using Wikipedia as an exemplary system. Through a collective action framework, we apply critical mass theory to explain emergence and sustainability of the peer production approach.||0||1|