University of Sydney · S2 2026 · FACULTY OF MANAGEMENT

WORK5002 Foundations of HRM and IR

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WORK5002 Overview

Foundations of HRM and IR
— Evidence-led revision for HRM, industrial relations, hiring, talent, performance, workplace AI and reflective career planning.
  • University of Sydney
  • Semester 2 2026
  • Postgraduate unit
  • Canvas learning site

WORK5002 Foundations of HRM and IR is a postgraduate University of Sydney unit that connects human resource management with industrial relations. It begins from a practical problem: managing people cannot be reduced to a toolkit of universal practices.

  • Assessment mix Participation, presentation, two exams and two reflective scaffolds
  • Core method Diagnose context and level before recommending an HR practice
  • Professional lens Balance organisational goals with evidence, voice, fairness and wellbeing
  • Captured scope Detailed weekly materials are available for the first eight teaching blocks
WORK5002 · University of Sydney
An independent, AskSia-authored study guide. AskSia is not affiliated with, endorsed by, or sponsored by University of Sydney; the course code and name are used for identification only.
Assessment

How WORK5002 is assessed

ComponentWeightFormat
Group Presentation30%Presentation based on a chosen topic; 15 minutes plus questions; multiple weeks
Participation10%Participation in tutorial discussion; ongoing
Reflective Career Report: Scaffold 110%Written work; 500 words; Week 4
Mid-semester Multiple Choice Exam20%Written test; one hour; Week 8; AI prohibited
Reflective Career Report: Scaffold 210%Written work; 500 words; Week 9
Reflective Career Report: in-class test - Canvas20%In-person written task; 1.5 hours; Week 13; AI prohibited
Contents · every chapter, one map

What WORK5002 covers

The guide follows the eight fully captured teaching blocks. It starts with reflective learning and assessment, then builds the context, multilevel and evidence-based foundations used throughout the unit.

Later chapters compare industrial relations frames, design recruitment and selection, connect onboarding with development and careers, diagnose performance systems, evaluate workplace AI and open the black box between HR systems, wellbeing and organisational outcomes.

Employment decisions sit inside legal, labour-market, organisational, team and individual contexts. They also distribute power, opportunity, risk and voice. The guide therefore develops a repeatable form of professional judgement.

Identify the decision and level, gather several kinds of evidence, examine the assumptions behind competing interpretations, consider employee and organisational consequences, choose a proportionate action and define how the result will be reviewed. The first teaching blocks introduce self-assessment and reflection, then context, multilevel analysis and evidence-based HRM.

Evidence-based practice uses scientific research, organisational information, stakeholder perspectives and professional expertise. The aim is not to collect the largest possible pile of information. It is to appraise quality and contextual fit, show where sources disagree and make a responsible decision under uncertainty. Industrial relations then widens the field of view.

Unitarist, pluralist and radical frames make different assumptions about shared purpose, conflict and power. Australian institutions such as the Fair Work Act, the Fair Work Commission, National Employment Standards, modern awards and collective bargaining shape what managers and workers can do.

The hiring block distinguishes recruitment, which creates a qualified pool, from selection, which compares applicants against job requirements. It evaluates interviews, work samples, tests and assessment centres using reliability, validity, utility, fairness and legality. The talent block joins onboarding, socialisation, retention, turnover, HR development and career management across the employee journey.

Performance management is treated as an ongoing system of expectations, enabling conditions, observation, feedback and development, with appraisal as one event inside it. The workplace AI block examines AI as a tool, control system, algorithmic boss and socio-technical system. Technical capability only creates value when work design, human authority, employee voice and governance are credible.

The final captured block opens the black box between intended HR practices and outcomes. Employees experience practices through managerial enactment, interpret the signals and respond. Bowen and Ostroff's concepts of distinctiveness, consistency and consensus explain signal strength, while the wellbeing lens asks whether performance is sustainable and fairly distributed.

Across all chapters, the closing move is the same: state what the evidence supports, what it cannot settle, whose interests are affected and how the organisation will learn after implementation.

Worked example · free

Turn an HR problem into an evidence-based decision

Q [6 marks]. A service organisation reports rising early-career turnover and proposes an immediate retention bonus. Show how an evidence-based HR practitioner should respond before approving the proposal.
  • +1The marks shown here are not a University of Sydney mark allocation; they structure this original AskSia study exercise. Define the decision and segment the turnover pattern by role, tenure, team and destination rather than treating the headline rate as a diagnosis.
  • +1Gather organisational evidence on timing, workload, pay, onboarding and exits, then test data quality and changes in measurement.
  • +1Collect stakeholder evidence from affected employees and managers while protecting confidentiality and noticing whose voice may be missing.
  • +1Use scientific research to identify plausible retention mechanisms and professional expertise to assess feasibility and local constraints.
  • +1Compare the bonus explanation with alternatives such as weak onboarding, role ambiguity, supervision or labour-market opportunity.
  • +1Pilot the best-supported, reversible intervention with predefined retention, adjustment, fairness and unintended-effect measures before wider adoption.
The bonus should not be approved from the headline rate alone. First locate the pattern and mechanism, then combine organisational data, stakeholder views, research and practitioner judgement. If the evidence points to weak role clarification and early connections, a structured onboarding pilot may be more appropriate than extra pay. The decision should specify affected employees, expected mechanism, ethical safeguards, measures and a review point.
Sia tip — Write the level and mechanism before the intervention. If the recommendation could fit any workforce problem, the diagnosis is not specific enough.
Glossary

Key terms

Evidence-based HRM
Critical and explicit decision-making that appraises scientific research, organisational information, stakeholder views and professional expertise for contextual fit.
Multilevel analysis
Analysis that locates causes and outcomes across national, organisational, team and individual levels and traces the links between them.
Psychological contract
An employee's beliefs about reciprocal obligations such as support, trust, development and flexibility beyond the formal legal contract.
Unitarism
An industrial relations frame that treats the organisation as a community with shared purpose and legitimate hierarchy.
Pluralism
An industrial relations frame that treats distinct workplace interests as legitimate and values rules, representation and bargaining to regulate conflict.
Recruitment
The activities used to create a pool of qualified people from which a candidate can be selected.
Selection validity
The extent to which a selection method measures the intended construct or relates to a relevant later outcome.
Onboarding
The formal and informal practices that help a newcomer adjust to the job, role, relationships and organisational culture.
Performance management
The ongoing system for setting expectations, enabling work, observing progress, providing feedback, reviewing results and supporting development.
Algorithmic management
The use of data-driven systems to allocate, monitor, evaluate or control work, sometimes operating as an algorithmic boss.
HR system strength
The clarity and shared meaning of an HR system produced through distinctiveness, consistency and consensus.
FAQ

WORK5002 FAQ

What assessments are used in this unit?

The Semester 2 2026 outline lists tutorial participation, a group presentation, two reflective career report scaffolds, a mid-semester multiple-choice exam and a final in-class reflective career task. The six published weights total one hundred percent. Current dates and delivery instructions should be checked on Canvas.

What is tested in the mid-semester exam?

The published format is a one-hour multiple-choice exam assessing core HRM and industrial relations concepts from the first half of the unit. Revision should prioritise precise distinctions, levels of analysis and application to short cases. The current Canvas notice controls device and permitted-material details.

How should I prepare for the reflective career task?

Preserve the reasoning trail across both scaffolds: the original goal, actions taken, evidence and feedback, revised interpretation and next career step. Strong reflection does not treat a self-assessment score as a fixed identity. It connects a specific capability to observable practice and a review point.

What makes an HR decision evidence based?

An evidence-based decision combines and appraises scientific research, organisational data, stakeholder views and professional expertise. It identifies context and level, considers ethics and consequences, tests rival explanations and defines how implementation will be monitored and evaluated.

Why do industrial relations frames matter?

Unitarist, pluralist and radical frames begin with different assumptions about shared purpose, conflict and power. They therefore change which evidence seems relevant and which remedies appear legitimate. A strong answer names its frame, represents alternatives fairly and connects the recommendation to institutions and affected groups.

How does the unit approach AI in organisations?

AI is examined as a tool, control system, algorithmic boss and socio-technical system. Workplace value depends on job design, data quality, organisational capability, human authority, employee response, voice and governance. Technical accuracy alone cannot settle fairness or employment-relations consequences.

Study strategy

How to study for the exam

Build revision around contrasts and decisions rather than isolated definitions. For every concept, write what it is, what it is not, which level it belongs to, the evidence that would support it and one boundary.

Use paired retrieval for recruitment versus selection, onboarding versus induction and socialisation, performance management versus appraisal, reliability versus validity, and unitarist versus pluralist accounts of conflict.

Practise the evidence-based route on a fresh workplace case each week: identify the decision, locate the levels, gather the four evidence sources, appraise quality and fit, name stakeholders and ethical effects, choose a bounded intervention and define monitoring. For the mid-semester multiple-choice exam, rehearse definitions under short cases and explain why each distractor fails before checking the answer.

For the group presentation, agree on a single evidence-based position before designing slides, divide responsibility visibly and use facilitation questions that invite analysis rather than recall. For the reflective career report, keep a private learning log that records action, feedback, interpretation and revision without unnecessary personal information.

Before the Week 13 in-class task, reconstruct the story across both scaffolds and prepare several examples of changed judgement. Always use the current Canvas notice for timing, device, location and permitted materials because operational details can change.

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