Overview

In this unit 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 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.

Requisites

Prerequisites
INF10003 Introduction to Business Information Systems

Rule
150 credit points
AND
INF10003 Introduction to Business Information Systems

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
29-July-2024
27-October-2024
Last self-enrolment date
11-August-2024
Census date
31-August-2024
Last withdraw without fail date
13-September-2024
Results released date
03-December-2024
Teaching Period 3
Location
Online
Start and end dates
04-November-2024
09-February-2025
Last self-enrolment date
17-November-2024
Census date
29-November-2024
Last withdraw without fail date
27-December-2024
Results released date
04-March-2025
Semester 1
Location
Hawthorn
Start and end dates
03-March-2025
01-June-2025
Last self-enrolment date
16-March-2025
Census date
31-March-2025
Last withdraw without fail date
24-April-2025
Results released date
08-July-2025
Teaching Period 2
Location
Online
Start and end dates
07-July-2025
05-October-2025
Last self-enrolment date
20-July-2025
Census date
01-August-2025
Last withdraw without fail date
22-August-2025
Results released date
Semester 2
Location
Hawthorn
Start and end dates
04-August-2025
02-November-2025
Last self-enrolment date
17-August-2025
Census date
31-August-2025
Last withdraw without fail date
19-September-2025
Results released date
09-December-2025

Learning outcomes

Students who successfully complete this unit 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
  • 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 problems associated with organisational learning with intellectual independence
  • Communicate effectively as a professional and function as an effective leader or member of a team

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
On-campus
Class
2.00 12 weeks 24
Online
Lecture
1.00 12 weeks 12
Unspecified Activities
Various
9.50 12 weeks 114
TOTAL150

OUA and Swinburne Online

Type Hours per week Number of weeks Total (number of hours)
Online Contact (Phasing out)
Online Learning Activities
12.50 12 weeks 150
Online
Directed Online Learning and Independent Learning
12.50 12 weeks 150
TOTAL300

Assessment

Type Task Weighting ULO's
Assignment 1Individual 20 - 30% 1,2 
Assignment 2Group 20 - 30% 1,2,3,4 
Assignment 3Individual 40 - 60% 1,2,3 

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

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.