Knowledge Management

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Questions and Answers

What is the purpose of measurements in knowledge management (KM)?

To convert tacit knowledge into explicit knowledge
To monitor progress towards KM benefits (correct)
To manage different types of content
To increase complexity in KM

Which of the following is NOT a factor that increased the complexity of knowledge management (KM)?

Static nature of knowledge (correct)
Contextual influences
Cultural influences
Subjectivity

Which of the following is NOT a type of content that needs to be managed in knowledge management (KM)?

Data
Explicit knowledge (correct)
Information
Tacit knowledge

What do the KM models presented in the chapter attempt to address?

<p>Knowledge management in a holistic and comprehensive manner (A)</p> Signup and view all the answers

According to Davenport and Prusak, what is the definition of data?

<p>A set of discrete, objective facts about events (D)</p> Signup and view all the answers

Flashcards

Purpose of Measurements in KM

Knowledge management (KM) uses measurements to track progress and ensure that the implementation is achieving its goals. This helps determine if KM initiatives contribute to the organization's intended benefits.

Factor NOT affecting KM Complexity

Knowledge management (KM) deals with dynamic knowledge that is constantly evolving and expanding. Static knowledge is not relevant to the complexities of modern KM.

Type of Content NOT Managed in KM

Explicit knowledge, easily codified and documented, is a core component of KM. The challenge is managing diverse types of content, including implicit knowledge (skills, experiences), and not just explicit knowledge.

Focus of KM Models

KM models strive to offer a complete and integrated approach to managing knowledge within an organization. These models aim to address the various aspects of knowledge acquisition, sharing, and application.

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Data Definition by Davenport and Prusak

According to Davenport and Prusak, data is a collection of raw facts without context or interpretation. In contrast, information is organized and processed data, and knowledge represents understanding derived from information.

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