DCA3244 KNOWLEDGE MANAGEMENT CREDITS

Description

SESSION	JANUARY/FEBRUARY 2026
PROGRAM	BACHELOR OF COMPUTER APPLICATIONS (BCA)
SEMESTER	VI
COURSE CODE & NAME	DCA3244 KNOWLEDGE MANAGEMENT

 

Assignment Set – 1

 

Q.1. Explain the Usage of Knowledge Management: – Building and Sharpening Competitive Edge, Betterment of Human Relation, Improvement in Organizational Efficiency and Enhancement of Human Capital Capabilities.

Ans 1.

Usage of Knowledge Management

Knowledge management (KM) is the methodical process of capturing, organizing sharing, utilizing and using information from an organisation in pursuit of its goals. Its usage spans several critical factors that directly impact the sustainability of an organization and its performance.

1. Building and Sharpening Competitive Edge

One of the most important benefits of

Its Half solved only

Buy Complete from our online store

 

https://smuassignment.in/online-store/

 

MUJ Fully solved assignment available for session Jan-Feb 2026.

 

Lowest price guarantee with quality.

Charges INR 198 only per assignment. For more information you can get via mail or Whats app also

Mail id is aapkieducation@gmail.com

 

Our website www.smuassignment.in

After mail, we will reply you instant or maximum

1 hour.

Otherwise you can also contact on our

whatsapp no 8791490301.

 

 

 

 

Q.2. Explain all the process of knowledge management system life cycle: – knowledge identification, knowledge capture, knowledge organization, knowledge sharing, knowledge transfer, knowledge application, knowledge evaluation and knowledge maintenance.

Ans 2.

Knowledge Management System Life Cycle

The Knowledge Management System (KMS) life-cycle describes the entire series of procedures that information is governed within an organisation, starting from first discovery until its continual maintenance.

1. Knowledge Identification

The first step where the company discovers what is known in the organization, and what skills are required and where the gaps are. It is about mapping knowledge assets, both explicit (documents and databases) and tacit (employee knowledge). It’s the aim of this exercise to discover the

 

 

Q.3. Explain the different levels of expertise in a knowledge-based system: – Beginner, Intermediate, Advanced and Expert.

Ans 3.

Levels of Expertise in a Knowledge-Based System

In knowledge-based systems, expertise is not uniform. Users and contributors operate at various levels of expertise and understanding, and the system must be designed to meet the needs of all levels of understanding. The four stages of proficiency are beginners intermediate, advanced and advanced.

1. Beginner

A beginner is

 

Assignment Set – 2

 

Q.4. Explain the multiple factors of effective knowledge transfer: – Location of the Knowledge, Media Used for Knowledge Transfer and Recipient of Knowledge.

Ans 4.

Factors of Effective Knowledge Transfer

Knowledge transfer refers to the process transfer of knowledge from one individual, team, or system to a different one in order to allow it to be utilized effectively in a different environment. The efficiency of knowledge transfer is based on several critical factors, including the place of knowledge in the first place, the method of transfer, as well as the attributes of the recipient.

1. Location of the Knowledge

The

 

Q.5. Explain knowledge representation techniques: – Logical Representation, Frame Based Representation, Commonsense Reasoning, Semantic Web Standards, Rules, Diagnosis and Explanation, Cause-and-Effect and Frames.

Ans 5.

Knowledge Representation Techniques

Knowledge representation refers to the way by which knowledge is formally encoded so computers can manage, store and make sense of it. A variety of techniques can be employed depending on the nature of the information as well as the demands of the computer system.

1. Logical

 

Q.6. Discuss the techniques used in knowledge elicitation, such as interviews, protocol analysis, and concept sorting.

Ans 6.

Techniques Used in Knowledge Elicitation

Knowledge elicitation is the method to extract knowledge from human experts or other sources for use in knowledge-based systems. As a large portion of knowledge that organizations have is in the form of intangible and difficult to communicate specific techniques are required to draw it out