Towards Knowledge Networking

Seufert, Andreas; Krogh, Georg von; Bäck, Andrea

doi:10.1007/978-3-642-18542-7_14

Cited by 42 publications

(51 citation statements)

References 21 publications

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“…In fact, CoPs can be long-standing or transitory. They are frequently created for a specific purpose, such as the sharing of knowledge in respect of a specific area, thereby enhancing all parties' learning, and cocreating a value for this community from such sharing (Seufert, Krogh et al 1999;Adams and Freeman 2000). This shared value is based on both knowledge in action of the partners (see below for a formal definition) and the formal propositional knowledge presented by the individuals to the community, during its life cycle.…”

Section: Knowledge Sharing In the Sme Communitymentioning

confidence: 99%

Role of transitory communities of practice in business school collaborative knowledge-sharing projects: from the partner's perspective

Brown

Frame

2016

IJIL

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This paper explores the essential roles that academics, graduates/post-graduates and small enterprise owner-managers play when working together on knowledge-sharing projects The study uses six projects to explore the life cycle of these transitory Communities of Practice (CoP) and how they can provide an effective means for sharing knowledge and expertise. This investigation is significant as such sharing of knowledge and expertise is the basis of the increasingly informal knowledge management structures such as networks and open innovation communities. How this is achieved, we suggest is based on two factors: the stakeholders and the transitory CoPs. The stakeholders are the SME managers, academics and newly employed graduates (associates), who co-creat value by capturing, analysing and disseminating new-to-enterprise knowledge and experience. They achieve this via temporary CoPs which have their own life cycle of creation, growth and maturity/destruction.

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Section: Knowledge Sharing In the Sme Communitymentioning

confidence: 99%

Role of transitory communities of practice in business school collaborative knowledge-sharing projects: from the partner's perspective

Brown

Frame

2016

IJIL

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“…Knowledge network in its socio-economic and socio-cultural frame work consists of a number of component nodes/units including actors (i.e., individuals, groups, organizations, and relations between those actors within social networks, that can be characterized by form, content, and intensity). They also include resources (used by actors in relationships) in addition to institutional properties, i.e., structural and cultural dimensions such as control mechanisms, rules and norms, standard operation procedures and communication patterns (see Seufert, Krogh, & Bach, 1999).…”

Section: Knowledge and Neural Networkmentioning

confidence: 99%

The Implications of Connectionism and Neural Networks for Simultaneous Interpreting

2014

UCFL

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The aim of this paper is to approach simultaneous interpreting adopting some connectionist models and conceptions and, thus, nurture interpreting modeling. Using neural networks stimulations, connectionism looks at the brain as a network of inter-connected nodes/units that substrate any intelligent ability or cognitive process through the propagation of activation. Neural networks, in connectionist models, acquire and learn diverse cognitive patterns through the strengthening and weakening of nodes associations. Drawing on this seminal framework, this paper is an attempt to account for interpreting and novice interpreters as neural networks. Throughout the matrix of argumentation, we suggest that the accumulation of a number of input units in novice interpreters' neural nodes, as micro agents for processing informational units, and the building of the necessary knowledge associations among such nodes, through the strengthening and weakening principles, are prerequisites for being an interpreter. The establishment of a huge network of knowledge nodes enables the network to interpret in a given velocity. More to the point, such endeavor entails an extensive training on the propagation of a distributed neural activation in distributed circuits. Such neural circuits give emerge to the required neural associations echoing the declarative and procedural abilities crucial for interpreting as a quasi-automatic activity.

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“…This principle is thought to have triggered research on organisational network structures. More recently, the discussion of team-based network structures in management literature has been influenced above all by the research of Peter Drucker (Drucker, 1989), Charles Savage (Savage, 1990, and new millennial scholars like Seufert (Seufert, 1999) and Brown & Duguid (Brown & Duguid, 2002).…”

Section: The Theory: Knowledge-based Network and The Relational Societymentioning

confidence: 99%

New e-Learning Environments: e-Merging Networks in the Relational Society

García¹

2012

eLearning - Theories, Design, Software and Applications

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Towards Knowledge Networking

Cited by 42 publications

References 21 publications

Role of transitory communities of practice in business school collaborative knowledge-sharing projects: from the partner's perspective

Role of transitory communities of practice in business school collaborative knowledge-sharing projects: from the partner's perspective

The Implications of Connectionism and Neural Networks for Simultaneous Interpreting

New e-Learning Environments: e-Merging Networks in the Relational Society

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