2008
DOI: 10.1057/kmrp.2008.9
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Knowledge heterogeneity and social network analysis – Towards conceptual and measurement clarifications

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Cited by 14 publications
(8 citation statements)
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“…SNA’s use in the team cognition domain is still emerging, but it shows potential to be a useful tool for team cognition research. SNA has already been used to study a variety of team cognition constructs including team SA (Sorensen & Stanton, 2011; Stanton et al, 2006), team mental models (Schneider, Graham, Bauer, Bessiere, & Gonzalez, 2004), and knowledge heterogeneity within teams and organizations (El Louadi, 2008). SNA has several benefits as a measure of team cognition: (1) it could allow for a greater understanding of the directionality and shape of transactive memory systems, knowledge structures, and shared SA within a team; (2) it can be used to identify central figures of great importance to team functioning and cognition; and (3) it allows for a holistic view of the studied contributors to team cognition.…”
Section: Directions For Future Researchmentioning
confidence: 99%
“…SNA’s use in the team cognition domain is still emerging, but it shows potential to be a useful tool for team cognition research. SNA has already been used to study a variety of team cognition constructs including team SA (Sorensen & Stanton, 2011; Stanton et al, 2006), team mental models (Schneider, Graham, Bauer, Bessiere, & Gonzalez, 2004), and knowledge heterogeneity within teams and organizations (El Louadi, 2008). SNA has several benefits as a measure of team cognition: (1) it could allow for a greater understanding of the directionality and shape of transactive memory systems, knowledge structures, and shared SA within a team; (2) it can be used to identify central figures of great importance to team functioning and cognition; and (3) it allows for a holistic view of the studied contributors to team cognition.…”
Section: Directions For Future Researchmentioning
confidence: 99%
“…Communities of practice are characterized by the combination of heterogeneous and homogeneous knowledge within them (Wenger & Snyder, 2000). Heterogeneous knowledge that is specialized tends to be separated in the network, whereas homogeneous knowledge that is general tends to diffuse across broader parts of the network (El Louadi, 2008). Managing the flow of knowledge between networked communities can boost university performance.…”
Section: Introductionmentioning
confidence: 99%
“…These teams can be a formal reporting structure or shared understanding may become apparent though network analysis (Louadi, 2008, Carley et al, 2007. It is important to note, that due to the dynamic nature of human-to-human and human-to-machine relationships, people may change their behaviour and preferences depending on how they are feeling at that moment in time, function or location.…”
Section: Interfacementioning
confidence: 99%