Knowledge Management and Analytics
Get critical about the origins of organisational learning to gain a sustainable, competitive advantage. Solve problems through design. Learn how big data reveals patterns and the way analytics are used to substantiate and support business decisions.
Your upfront cost: $0
- 31 May 2021
Swinburne University of Technology leads the way with innovative and new ways of teaching, learning and thinking. It offers a wide range of study options, from pre-apprenticeships, undergraduate, postgraduate and PhDs, including online degrees with Open Universities Australia. Swinburne is known for career-oriented education and encouraging lifelong learning.
QS RANKING 2021
Times Higher Education Ranking 2021
Students who successfully complete this subject will be able to:
- 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
- Critically analyse the role of big data and analytics in organisational knowledge management in relationship to decision making
- Apply problem solving, design and decision making methodologies to identify and provide innovative solutions to complex problems associated with organisational learning with intellectual independence
- Communicate effectively as a professional and function as an effective leader or member of a diverse team.
- The nature and origins of organizational knowledge, learning, memory, 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 KM contained in a KM system
- The role of big data and analytics in knowledge management practices and strategy
- Cases of utilizing big data in knowledge management systems and knowledge management initiatives
- Utilizing big data results as organizational knowledge to support decision making
- Issues in knowledge management inc.: communities of practice, advanced taxonomies, big data analysis, cloud computing, XaaS, social network analysis
- Specific cases of knowledge management practices and applications from real-world organisational contexts
You must have successfully completed the following subject(s) before starting this subject:
SWI-INF10003-Introduction to Business Information Systems, or SWI-INF10014 ;
Students should have completed 150 Credit Points (12 x subjects) including INF10003 Introduction to Business Information Systems.
No special requirements
In this subject students learn about the contemporary organisation, organisational learning as a critical concept contributing to sustainable competitive advantage. Knowledge Management is an integral and pertinent concept within an organisational learning environment. This subject 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.
Please note: assessment values are indicative only, details will be advised at the start of the subject.
- Individual (20-30%)
- Group (20-30%)
- Individual (40-60%)
Current study term: 30 May 21 to 29 Aug 21
Check the learning management system (LMS) of your university for textbook details.