Final Exam Flashcards
Knowledge codification
Is a process aimed at translating knowledge to the appropriate form (words, images, data, video, audio,etc) that will make it accessible. to whoever needs it.
Reasons for Knowledge codification
To convert tacit knowledge to explicit knowledge in a usable form.
Converting undocumented to document information.
Making corporate-specific knowledge visible
To support training and decision making
To Diagnose, predict, plan and schedule
Knowledge Codification Tools
Knowledge Maps
Decision table
Decision tree
Frames
Production rule
Case-based reasoning
Knowledge-based agents
Tacit knowledge sharing
Tacit knowledge sharing require socialization to share knowledge in an organization since it involves the exchange of implicit or unspoken knowledge within an organization. The type of knowledge shared is often personal, experience-based, and deeply rooted in individuals’ skills, insights, and intuition.
It emphasizes the importance of informal networks, means for communication, experiential learning, and social interactions in an organization
Explicit knowledge sharing
Explicit knowledge sharing involves the formal and codified transfer of information that is easily documented, communicated, and disseminated within an organization making it accessible to individuals within the organization. This structured approach helps in preserving and leveraging knowledge for improved organizational performance
Knowledge Protection
Includes structuring and continuously updating of knowledge so it can be kept within the organization in a way that enables it to be available to individuals in the organization at any time.
The knowledge can be stored as documents and files for future reference and kept in a database. To protect a company’s knowledge there formal mechanisms - Intellectual property protection, copyright, patents, contracts, agreements- and informal mechanisms -secrecy, confidentiality-.
Generative Ai Pros
- Increase in productivity and engagement
- It can consume and process human-friendly data at a much higher volume
- It can assist with risk assessment
- Process optimisation through workflow analysis
Generative AI Cons
- Make certain work positions obsolete
- It is not foolproof, so it can produce erroneous content
- Lack of human creativity
- Intellectual property and copyright issues
ChatGPT in Learning - Pros
- Can generate content (questions, practices test,etc)
- Enhance writing skills
- Language translation and grammar correction
- 24/7 support for question answering
ChatGPT in Learning - Cons
- It sometimes provide inaccurate or misleading information
- You can’t check the sources of information
- People can become overdependent resulting in the destruction of their memory and learning abilities
- May prevent students from developing in-depth understanting
ChatGPT and Creativity - Pros
- Can serve as a prompt or inspiration
- Can help with brainstorming
- Reduce time needed for research
- Can be fine-tuned to a specific tone and style
ChatGPT and Creativity - Cons
- Possibility of Plagiarism
- Overuse can can impede the growth of creative skills and uniqueness
- Not capable of the same level of creativity as a human
KM Principles:
KM is based on Strategy
Strategy is ground for knowledge management, it gives purpose to work and guides the knowledge creation process, linking KM with organizational goals, it aims to improve productivity, business performance, and innovation. It’s crucial for a company’s KM strategy to align with its competitive strategy, reflecting how value is created and delivered to customers.
KM principles:
KM enables knowledge processes
Knowledge Management is centered on improving knowledge processes to enhance organizational performance. It focuses on process of knowledge creation, closely tied to learning. The primary goal of KM activities is to support learning and other essential knowledge processes within the organization.
KM Principles:
Creating a pleasant knowledge environment
The quality of organizational environment determines the effectiveness of knowledge management, individual knowledge process and especially knowledge creation.