The Experts below are selected from a list of 627423 Experts worldwide ranked by ideXlab platform
Gyorgy Pataki - One of the best experts on this subject based on the ideXlab platform.
-
linking academic and local Knowledge Community based research and service learning for sustainable rural development in hungary
Journal of Cleaner Production, 2009Co-Authors: Barbara Bodorkos, Gyorgy PatakiAbstract:Abstract Discussions about the potential role of academic and research institutions in regional sustainability initiatives (RSIs) inevitably raise the issue of the role of science in society in general. In democratic societies, it can be argued that science–society relationships should be based on establishing and institutionalizing mutual dialogues, making public concerns not only visible but the public as equal partner. In order to fulfil the social responsibilities of academic institutions involved in RSIs through establishing dialogues with diverse stakeholders, a possible methodology is conducting participatory action research (PAR) combined with the educational model of service learning. The PAR project reported here aims at facilitating a bottom-up, micro-region level sustainability planning and development process in one of the most socio-economically disadvantaged rural areas of north-east Hungary. Some of the main results of this university–Community partnership were its contribution to sustainability, including the activation of local capabilities and networking across various local stakeholder groups through various small-scale projects and the co-production of a socially grounded and landscape-based rural development plan for the micro-region.
Lars Lindkvist - One of the best experts on this subject based on the ideXlab platform.
-
Knowledge communities and Knowledge collectivities a typology of Knowledge work in groups
Journal of Management Studies, 2005Co-Authors: Lars LindkvistAbstract:The notion of a 'Community-of-practice' (CmP) has become a highly influential way of conceptualizing how decentralized sub-units or groups within firms or organizations operate. CmPs refer to 'tightly knit' groups that have been practising together long enough to develop into a cohesive Community with relationships of mutuality and shared understandings. The CmP notion, however, does not fit squarely with how temporary organizations or project organizations operate. Typically these kinds of groups consist of diversely skilled individuals, most of whom have not met before, who have to solve a problem or carry out a pre-specified task within tightly set limits as to time and costs. As a result they tend to become less well-developed groups, operating on a minimal basis of shared Knowledge and understandings. Such a group, I suggest, constitutes a 'collectivity-of-practice' (ClP). Mirroring the above distinctions, two ideal-type notions of epistemology are developed. The one inspired from the CmP literature is discussed in a 'Knowledge Community' terminology, whereas the one associated with ClPs is conceived of as a 'Knowledge collectivity'. Finally, I outline some new options for organizational analysis made possible by recognizing these as two different and complementary notions. © Blackwell Publishing Ltd 2005.
-
Knowledge communities and Knowledge collectivities a typology of Knowledge work in groups
Social Science Research Network, 2005Co-Authors: Lars LindkvistAbstract:The notion of a 'Community-of-practice' (CmP) has become a highly influential way of conceptualizing how decentralized sub-units or groups within firms or organizations operate. CmPs refer to 'tightly knit' groups that have been practising together long enough to develop into a cohesive Community with relationships of mutuality and shared understandings. The CmP notion, however, does not fit squarely with how temporary organizations or project organizations operate. Typically these kinds of groups consist of diversely skilled individuals, most of whom have not met before, who have to solve a problem or carry out a pre-specified task within tightly set limits as to time and costs. As a result they tend to become less well-developed groups, operating on a minimal basis of shared Knowledge and understandings. Such a group, I suggest, constitutes a 'collectivity-of-practice' (ClP). Mirroring the above distinctions, two ideal-type notions of epistemology are developed. The one inspired from the CmP literature is discussed in a 'Knowledge Community' terminology, whereas the one associated with ClPs is conceived of as a 'Knowledge collectivity'. Finally, I outline some new options for organizational analysis made possible by recognizing these as two different and complementary notions.
David Krackhardt - One of the best experts on this subject based on the ideXlab platform.
-
online Knowledge communities breaking or sustaining Knowledge silos
Production and Operations Management, 2020Co-Authors: Elina H Hwang, David KrackhardtAbstract:Today many companies use technology-enabled social platforms such as online communities to improve Knowledge sharing among their geographically separated employees. Given the increasing adoption of such technology, it is important to investigate if the technology actually breaks physical Knowledge silos as it is intended, thereby enables employees to obtain previously unavailable solution to better serve their customers. We perform network analysis using unique time-series data from a global Fortune 500 consulting company to empirically examine whether an online Knowledge Community actually breaks traditional Knowledge barriers. Our analysis reveals that subgroups of homogeneous employee emerge because employees tend to herd with their virtual and geographic neighbors. We further find that this herding behavior gradually fragments an online Knowledge Community in multiple dimensions (i.e., geography, Knowledge domains). Our results offer insights into how to manage an online Knowledge Community as an emerging Knowledge management platform for companies.
Esteve Corbera - One of the best experts on this subject based on the ideXlab platform.
-
Community based conservation and traditional ecological Knowledge implications for social ecological resilience
Ecology and Society, 2013Co-Authors: Isabel Ruizmallen, Esteve CorberaAbstract:Our review highlights how traditional ecological Knowledge influences people's adaptive capacity to social- ecological change and identifies a set of mechanisms that contribute to such capacity in the context of Community-based biodiversity conservation initiatives. Twenty-three publications, including twenty-nine case studies, were reviewed with the aim of investigating how local Knowledge, Community-based conservation, and resilience interrelate in social-ecological systems. We highlight that such relationships have not been systematically addressed in regions where a great number of Community conservation initiatives are found; and we identify a set of factors that foster people's adaptive capacity to social-ecological change and a number of social processes that, in contrast, undermine such capacity and the overall resilience of the social- ecological system. We suggest that there is a need to further investigate how climate variability and other events affect the joint evolution of conservation outcomes and traditional ecological Knowledge, and there is a need to expand the current focus on social factors to explain changes in traditional ecological Knowledge and adaptive capacity towards a broader approach that pays attention to ecosystem dynamics and environmental change.
Derrick G Kourie - One of the best experts on this subject based on the ideXlab platform.
-
on succinct representation of Knowledge Community taxonomies with formal concept analysis
International Journal of Foundations of Computer Science, 2008Co-Authors: Camille Roth, Sergei Obiedkov, Derrick G KourieAbstract:We present an application of formal concept analysis aimed at representing a meaningful structure of Knowledge communities in the form of a lattice-based taxonomy. The taxonomy groups together agents (Community members) who develop a set of notions. If no constraints are imposed on how it is built, a Knowledge Community taxonomy may become extremely complex and difficult to analyze. We consider two approaches to building a concise representation, respecting the underlying structural relationships while hiding superfluous information: a pruning strategy based on the notion of concept stability and a representational improvement based on nested line diagrams and "zooming". We illustrate the methods on two examples: a Community of embryologists and a Community of researchers in complex systems.
-
on succinct representation of Knowledge Community taxonomies with formal concept analysis
International Journal of Foundations of Computer Science, 2008Co-Authors: Camille Roth, Sergei Obiedkov, Derrick G KourieAbstract:We present an application of formal concept analysis aimed at representing a meaningful structure of Knowledge communities in the form of a lattice-based taxonomy. The taxonomy groups together agents (Community members) who develop a set of notions. If no constraints are imposed on how it is built, a Knowledge Community taxonomy may become extremely complex and difficult to analyze. We consider two approaches to building a concise representation respecting the underlying structural relationships, while hiding uninteresting and/or superfluous information: a pruning strategy based on the notion of concept stability and a representational improvement based on nested line diagrams and “zooming”. We illustrate the methods on two examples: a Community of embryologists and a Community of researchers in complex systems.
-
towards concise representation for taxonomies of epistemic communities
Concept Lattices and their Applications, 2006Co-Authors: Camille Roth, Sergei Obiedkov, Derrick G KourieAbstract:We present an application of formal concept analysis aimed at representing a meaningful structure of Knowledge communities in the form of a lattice-based taxonomy. The taxonomy groups together agents (Community members) who interact and/or develop a set of notions--i.e. cognitive properties of group members. In the absence of appropriate constraints on how it is built, a Knowledge Community taxonomy is in danger of becoming extremely complex, and thus difficult to comprehend. We consider two approaches to building a concise representation that respects the underlying structural relationships, while hiding uninteresting and/or superfluous information. The first is a pruning strategy that is based on the notion of concept stability, and the second is a representational improvement based on nested line diagrams. We illustrate the method with a small sample of a Community of embryologists.
