2. Knowledge Articulation

2020 ◽  
pp. 50-82
2018 ◽  
Vol 9 (1) ◽  
pp. 18
Author(s):  
Isabell Schonhowd Haagensen ◽  
Eline Katrin Helland ◽  
Torstein Nesheim

Author(s):  
David Obstfeld

This chapter illustrates the BKAP model with an extended ethnographic case to show how network and knowledge processes interact to produce routine-based innovative action over time. The chapter first provides relevant context for the automotive design process, after which the author walks through the extended case in three phases of activity and analysis: the first phase involves disruption of the existing design routine and the initial challenges experienced by the manual shifter “crunch team” in its efforts to respond to that disruption; the second and third phases contrast two pairs of actors (two engineers and two sets of designers) who attempt to mobilize support for innovation. In both phase two and phase three, successful innovation advocates mobilized action through brokerage and knowledge articulation to get new things done.


2011 ◽  
pp. 2298-2330
Author(s):  
Kenneth David Strang

An e-business new product development (NPD) knowledge articulation model is built from the interdisciplinary empirical and theoretical literature. The model is intended to facilitate a case study of a large multinational mobile communications services/products company (with team members in Europe, Asia and Australia). The NPD teams include subject matter experts that function as a community of practice, electronically collaborating in a virtual context. The knowledge created and shared in the NPD teams involve various unknown levels of tacit and explicit ideas, which are difficult to understand or assess. The goal of the research is to build a tacit knowledge articulation framework and measurement construct that can be used to understand how a successful (or unsuccessful) NPD team operates, in terms of knowledge innovation and productivity. Complex issues and controversies in knowledge management are examined to clarify terminology for future research.


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