Knowledge Management and Analytics
Duration
- One Semester or equivalent
Contact hours
- 36 Hours
On-campus unit delivery combines face-to-face and digital learning.
2023 teaching periods
| Hawthorn Higher Ed. Semester 2 |
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|---|---|---|
Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
| Swinburne Online Teaching Period 2 |
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|---|---|---|
Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Corequisites
NilAims and objectives
In the contemporary organisation, organisational learning is a critical concept contributing to sustainable competitive advantage. Knowledge Management is an integral and pertinent concept within an organisational learning environment. This unit aims to develop and enhance students’ conceptual and practical understanding of the key aspects and the fundamental principles of Knowledge Management, particularly in the increasing use of analytics within a Knowledge Management environment.
Students who successfully complete this unit, will be able to:
1 Apply coherent and advanced knowledge of the concepts of knowledge and knowledge management, as well as their roles and applications in the contemporary organisational context.
2 Analyse the role of big data and analytics in organisational knowledge management in relationship to decision making.
3 Apply problem solving, design and decision making methodologies to identify and provide innovative solutions to problems associated with organisational learning with intellectual independence.
Courses with unit
A unit of study in the ,Unit information in detail
- Teaching methods, assessment, general skills outcomes and content.
Teaching methods
Face to Face Mode:
Scheduled hours: Lectures (12 x 2 hours), Tutorials (12 x 1 hours)
Online:
Assessment
1. Assignment 1 (Individual) 20-30%
2. Assignment 2 (Group) 20-30%
2. Assignment 2 (Group) 20-30%
3. Assignment 3 (Individual) 40-60%
General skills outcomes
During this unit students will receive feedback on the following key generic skills:
• Problem solving skills
• Analysis skills
• Communication skills
• Ability to tackle unfamiliar problems
• Ability to work independently
Content
• The nature and origins of organisational knowledge, organisational learning, organisational memory, organisational capabilities and competences, and knowledge workers.
• The nature of knowledge and its management within a contemporary organisation, including the processes of creation, capture, sharing, and application.
• The strategy and business case for enhancing and improving the efficacy and effectiveness of Knowledge Management (KM) contained in a KM system.
• The role of big data and analytics in knowledge management practices and strategy.
• Cases of utilising big data in knowledge management systems and knowledge management initiatives.
• Utilising big data results as organisational knowledge to support decision making
• Contemporary and emerging issues in knowledge management including: communities of practice, advanced taxonomies, big data analysis, cloud computing, Anything-as-a-Service (XaaS), and social network analysis.
• Specific cases of knowledge management practices and applications from real-world organisational contexts
• The nature of knowledge and its management within a contemporary organisation, including the processes of creation, capture, sharing, and application.
• The strategy and business case for enhancing and improving the efficacy and effectiveness of Knowledge Management (KM) contained in a KM system.
• The role of big data and analytics in knowledge management practices and strategy.
• Cases of utilising big data in knowledge management systems and knowledge management initiatives.
• Utilising big data results as organisational knowledge to support decision making
• Contemporary and emerging issues in knowledge management including: communities of practice, advanced taxonomies, big data analysis, cloud computing, Anything-as-a-Service (XaaS), and social network analysis.
• Specific cases of knowledge management practices and applications from real-world organisational contexts
Study resources
- Reading materials.
Reading materials
Students are advised to check the unit outline in the relevant teaching period for appropriate textbooks and further reading.