Overview

The unit demonstrates the importance of data-driven decision making and evidence-based management in the context of justifying HR and workforce-related initiatives. Students will learn how to gather and evaluate evidence, and present a strong business case. The unit also aims to develop digital literacy skills in the use of software to perform analytics.

Requisites

Prerequisites
MGT10009 Contemporary Management Principles

AND

INF10024 Business Digitalisation
AND
175 credit points
OR
ENG10001 Humanitarian Engineering Design Project
AND
COS10025 Technology in an Indigenous Context Project
AND
175 credit points

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 1
Location
Online
Start and end dates
10-March-2025
08-June-2025
Last self-enrolment date
23-March-2025
Census date
04-April-2025
Last withdraw without fail date
02-May-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:

  • Design effective procedures and instruments for collecting valid HR-data and empirical evidence in the workplace
  • Identify and prepare different types of data as required to assist with HR-related problem-solving and decision-making
  • Analyse, interpret and communicate patterns in qualitative and quantitative HR-related data individually and collectively
  • Evaluate the extant literature and identify potential sources of cognitive bias in HR-related decisions

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
Independent Learning		9.50 12 weeks 114
TOTAL150

Assessment

Type Task Weighting ULO's
AssignmentIndividual 40 - 60% 1,2,3,4 
AssignmentGroup 30 - 40% 1,2,3 
Mid-Semester TestIndividual 10 - 20% 3,4 

Content

  • Generic sources of cognitive biases
  • Data-driven decision making
  • Designing workforce-related research projects
  • Data analysis: (quantitative methods and qualitative methods)
  • Evaluating and critiquing evidence
  • Presenting data
  • Writing an HR-related business case

Study resources

Reading materials

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