Knowledge Perspective
14 important questions on Knowledge Perspective
What are the lessons leart from years of KM about the nature of knowledge?
- It's more than what's in the brain
- More than what can be formalised
- Not neutral and can be used politically
What are the key elements/assumptions of the repository approach of knowledge management?
What is meant with tacit knowledge?
- Higher grades + faster learning
- Never study anything twice
- 100% sure, 100% understanding
What is the relationship between tacit and explicit knowledge, and the repository approach of knowledge management?
What is the main difference between repository and network approach?
What is the difference in the way technology is used between the repository approach and the network approach?
What are the main boundaries when integrating knowledge accross different divisions according to Carlile?
- Pragmatic knowledge boundary
- Semantic knowledge boundary
- Syntactic knowledge boundary
What are the solutions/initiatives that can help overcome knowledge boundaries?
- Boundary objects: facilitate collaborations across domains
- Epistemic objects: inherently open ended, motivate collaborators to mutually develop knowledge
- Infrastructural objects: Taken for granted objects (a building in which you work)
What is meant with the crowd approach of knowledge management?
It can even been seen as an extension of the repository and network approach.
What are some fundamental questions, according to Von Krogh, one can rais about knowledge management via the crowd approach?
- About the essence of and value of firm knowledge
- About the possiblity of knowledge protection
- About firm boundaries
- About sources of competitive advantage
What is meant with the sensor (datafication) approach of knowledge management?
It involves value judgements, possible "outsourcing" of knowledge work, and embodies a new approach to tacit knowledge.
What are the means that make IT the central actor in the sensor approach of knowledge management?
- Means of collecting data
- Means of analysing data
- Means of converting insights to value
In the AI for hiring case, what were the elements that the Developers learned from HR and viceversa?
There were a lot of elements that depended on the social constructs within the company, things that could not be reproduced purely on data.
HR learned from the algorithm how to measure performance and what was actually important, as opposed to what was thought to be important.
What is meant with 'knowledge as a practice' and 'knowledge as a possession'?
With knowledge as a practice, we mean that knowledge is always a product of past practice, something can become a possessed knowledge, only after you have been provided with it through so called 'social practice'.
The question on the page originate from the summary of the following study material:
- A unique study and practice tool
- Never study anything twice again
- Get the grades you hope for
- 100% sure, 100% understanding