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Jean-Baptiste P. L. Faucher,Andr? M. Everett,Rob Lawson 한국데이타베이스학회 2010 Journal of information technology applications & m Vol.17 No.3
Existing models of knowledge processing do not feature a systemic meaning of knowledge management and ignore the role of leadership and social energy in the knowledge processing system (KPS). This conceptual paper introduces the Leadership Invigorating Flows of Energies, (LIFE) Model as an attempt to remedy that situation and provide a more useful description of the KPS. The LIFE Model highlights the role of emergent leadership and flows of social energies as forces encouraging knowledge creation and dynamic diffusion within an organization through the Knowledge Processing Cycle in eight activities interacting with its social knowledge base in a self-organizing system.
Faucher, Jean-Baptiste P.L.,Everett, Andre M.,Lawson, Rob Korea Data Strategy Society 2011 Journal of information technology applications & m Vol.18 No.1
A deeper understanding of how organizations behave as social complex adaptive systems is needed. In this paper we demonstrate how the Leadership Invigorating Flows of Energies model can help with this understanding. The model highlights the role of emergent leadership as a force encouraging the creation, diffusion, and utilization of knowledge through self-organizing mechanisms. We illustrate our approach by examining Wikipedia and show how it can be described as a social CAS. Our analysis of Wikipedia describes how emerging intrapreneurship behaviors result in dynamic flows of knowledge and self-organizing feedback mechanisms across the organization. We provide implications for organization studies and present evidence to support claims made by advocates of complexity theory. We conclude by proposing that Wikipedia can be seen as a new form of organization, and finish with a brief note highlighting a possible way forward.
Jean-Baptiste P. L. Faucher,Andr? M. Everett,Rob Lawson 한국데이타베이스학회 2011 Journal of information technology applications & m Vol.18 No.1
A deeper understanding of how organizations behave as social complex adaptive systems is needed. In this paper we demonstrate how the Leadership Invigorating Flows of Energies model can help with this understanding. The model highlights the role of emergent leadership as a force encouraging the creation. diffusion. and utilization of knowledge through self-organizing mechanisms. We illustrate our approach by examining Wikipedia and show how it can be described as a social CAS. Our analysis of Wikipedia describes how emerging intrapreneurship behaviors result in dynamic flows of knowledge and self-organizing feedback mechanisms across the organization. We provide implications for organization studies and present evidence to support claims made by advocates of complexity theory. We conclude by proposing that Wikipedia can be seen as a new form of organization, and finish with a brief note highlighting a possible way forward.
Jean-Baptiste P. O. Faucher,Andre M. Everett,Rob Lawson 한국데이터전략학회 2010 Journal of information technology applications & m Vol.17 No.3
Existing models of knowledge processing do not feature a systemic meaning of knowledge manage-ment and ignore the role of leadership and social energy in the knowledge processing system (KPS). This conceptual paper introduces the Leadership Invigorating Flows of Energies, (LIFE) Model as an attempt to remedy that situation and provide a more useful description of the KPS. The LIFE Model highlights the role of emergent leadership and flows of social energies as forces encouraging know-ledge creation and dynamic diffusion within an organization through the Knowledge Processing Cycle in eight activities interacting with its social knowledge base in a self-organizing system.
Faucher, Jean-Baptiste P.L.,Everett, Andre M.,Lawson, Rob Korea Data Strategy Society 2010 Journal of information technology applications & m Vol.17 No.3
Existing models of knowledge processing do not feature a systemic meaning of knowledge management and ignore the role of leadership and social energy in the knowledge processing system (KPS). This conceptual paper introduces the Leadership Invigorating Flows of Energies, (LIFE) Model as an attempt to remedy that situation and provide a more useful description of the KPS. The LIFE Model highlights the role of emergent leadership and flows of social energies as forces encouraging knowledge creation and dynamic diffusion within an organization through the Knowledge Processing Cycle in eight activities interacting with its social knowledge base in a self-organizing system.
A new understanding of friendships in space: Complex networks meet Twitter
Shin, Won-Yong,Singh, Bikash C.,Cho, Jaehee,Everett, André,M. SAGE Publications 2015 JOURNAL OF INFORMATION SCIENCE Vol.41 No.6
<P>Studies on friendships in online social networks involving geographic distance have so far relied on the city location provided in users’ profiles. Consequently, most of the research on friendships has provided accuracy at the <I>city level</I>, at best, to designate a user’s location. This study analyses a Twitter dataset because it provides the exact geographic distance between corresponding users. We start by introducing a strong definition of ‘<I>friend</I>’ on Twitter (i.e. a definition of <I>bidirectional friendship</I>), requiring bidirectional communication. Next, we utilize <I>geo-tagged mentions</I> delivered by users to determine their locations, where ‘@username’ is contained anywhere in the body of tweets. To provide analysis results, we first introduce a friend-counting algorithm. From the fact that Twitter users are likely to post consecutive tweets in the static mode, we also introduce a two-stage distance-estimation algorithm. As the first of our main contributions, we verify that the number of friends of a particular Twitter user follows a well-known power-law distribution (i.e. a Zipf’s distribution or a Pareto distribution). Our study also provides the following newly discovered friendship degree related to the issue of space: the number of friends according to distance follows a <I>double power-law</I> (i.e. a <I>double Pareto law</I>) distribution, indicating that the probability of befriending a particular Twitter user is significantly reduced beyond a certain geographic distance between users, termed the <I>separation point</I>. Our analysis provides concrete evidence that Twitter can be a useful platform for assigning a more accurate scalar value to the degree of friendship between two users.</P>