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A Level · Cambridge (CIE) · 9990

Explain sabotage and absenteeism at work

Evaluate Giacalone and Rosenfeld’s sabotage study and apply Blau and Boal’s job-involvement and organisational-commitment model to absence categories.

Section Paper 3 · Specialist Options: Approaches, Issues and Debates

Cambridge International AS & A Level Psychology 9990 · Organisational Psychology · 2028–2030 · Version 1 · OPTION-OR-4.5.3

Original StudyForA teaching mapped to Cambridge 9990 Organisational Psychology for 2028–2030. Example studies are independent learning support, not Cambridge material or official mark schemes. Findings are limited to their samples, measures and settings.

Before you begin

  • Job satisfaction and work attitudes are related but distinct. Identify the construct, sample and measurement method before interpreting a score or applying a model to an organisation.

Work on paper. Try each question before revealing help, and explain why your method works.

Quick readiness check

Which pair of attitudes does the Blau–Boal model combine?

What you will learn

  • Workplace sabotage methods and reasons; Giacalone and Rosenfeld (1987)
  • Blau–Boal absenteeism and organisational-commitment model, types of absence and commitment categories

Workplace sabotage concerns intentional disruption or damage

Workplace sabotage refers to deliberate acts intended to hinder or damage work, equipment, output or organisational activity. Giacalone and Rosenfeld (1987) asked unionised factory workers to rate reasons that might justify sabotage and the justifiability of four broad methods: slowdowns, destructiveness, dishonesty and causing chaos.

Workers who accepted a wider range of reasons were more likely to justify several methods, but dishonesty was an exception. The study measured participants’ ratings of hypothetical justifiability; it did not observe how often they sabotaged work or prove that the named reasons caused sabotage.

Possible explanations include perceived injustice, conflict, frustration, self-defence or revenge, but these are hypotheses to investigate in a particular context. A responsible response examines working conditions, grievances, safety and fair procedures rather than assuming an individual’s motive from one event.

Blau and Boal combine two work attitudes

Job involvement is the extent to which a person identifies psychologically with their job. Organisational commitment concerns identification with and attachment to the organisation. They are related but distinct: a person can care about the work while feeling little attachment to the employer, or feel attached to the organisation while the job itself is not central to their self-image.

Blau and Boal’s model uses high or low job involvement and high or low organisational commitment to describe four patterns: institutionalised stars (high/high), lone wolves (high/low), corporate citizens (low/high) and apathetic employees (low/low). These are conceptual categories, not fixed personality types or diagnoses.

The model proposes different ways the two attitudes may relate to absence and turnover. Use the categories as a framework for interpreting a pattern, not as a label that explains an individual worker without evidence. Job demands, health, family responsibilities, access to leave and workplace fairness can also shape attendance.

Distinguish absence categories and individual circumstances

Absence can be involuntary, such as time away because of illness, or voluntary. Cambridge’s specimen mark scheme describes four absence categories in relation to the model: medical (high involvement/high commitment), career-enhancing (high involvement/low commitment), normative (low involvement/high commitment) and calculative (low involvement/low commitment).

The four labels connect a model profile with a proposed reason for absence; they do not establish that every absence in a category is chosen or morally blameworthy. For example, a medical absence is not evidence of low commitment. Real attendance records need context and fair treatment of health information.

A study can record objective absence frequency and timing, then use confidential, voluntary methods to understand reasons. Keep measures of absence, job involvement and organisational commitment distinct. Do not infer a motive from a count alone or use the model to penalise workers.

Sources for this lesson

Pause and explain

What did Giacalone and Rosenfeld (1987) directly ask workers to judge?

Put the idea to work

Worked example

A worker cares deeply about nursing but feels little loyalty to the hospital after repeated unfair scheduling. They miss work to attend a professional course. Apply Blau and Boal carefully.

Show the worked solution
  1. High job involvement and low organisational commitment correspond to the lone-wolf profile.
  2. A career-enhancing absence is a possible category for time away connected with professional development.
  3. The model provides a framework, not proof of the worker’s motive; scheduling and access to leave need contextual assessment.

Answer The pattern is consistent with high job involvement and low organisational commitment, called a lone wolf in the model; the course absence could be discussed as career-enhancing. This is a conceptual interpretation, not proof of motive. The hospital should examine fair scheduling and discuss leave under its policies without turning a category into a judgment about the worker.

Try a topic test

Choose Easy, Normal or Difficult. Save your answers and open worked review after finishing.

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From guided practice to a new situation

Write your answer and reasoning first. Use a hint only if you are stuck. The model solution is for self-checking; your written work is not automatically marked.

1 · Guided

A worker identifies strongly with the job but feels little attachment to the organisation. Which profile fits, and what should you not infer from it?

Give me a hint

Locate the two attitudes separately and treat the cell as a model category.

Compare my reasoning
  1. High job involvement means the job is important to the person’s self-image.
  2. Low organisational commitment means weaker attachment to the employer.
  3. Together these correspond to the lone-wolf profile; this does not diagnose the worker or establish an absence motive.

The profile is a lone wolf: high job involvement and low organisational commitment. It is a conceptual category and does not prove why a particular worker is absent or how they will behave.

Look for these in your work

  • Both axes defined
  • Correct profile named
  • Individual inference limited
2 · Independent

A researcher gives factory workers scenarios about sabotage and asks how justified each action would be. What can this measure, and what cannot it show?

Give me a hint

Separate attitudes to hypothetical actions from behaviour at work.

Compare my reasoning
  1. It can measure reported judgments about the justifiability of scenarios or methods.
  2. Responses may reflect social desirability, wording, context or what participants think the researcher expects.
  3. It cannot establish how frequently participants actually sabotage work or prove that a stated reason causes behaviour.

The measure concerns stated attitudes to hypothetical sabotage. It does not directly measure behaviour or establish causation; an ethical, confidential study should avoid enabling harm and explain how responses will be protected.

Look for these in your work

  • Measure identified
  • Response limitations included
  • Behavioural claim avoided
3 · Transfer

A manager sees two absence days in a worker’s record and labels them ‘calculative’. Explain why this is not justified and suggest a fairer assessment.

Give me a hint

An attendance count cannot reveal the worker’s commitment or reason for absence.

Compare my reasoning
  1. The count does not measure job involvement or organisational commitment, which are the model’s two axes.
  2. Absence may be involuntary or connected with health and other circumstances; the dates alone do not reveal the reason.
  3. Use a consistent, confidential process, ask only appropriate questions and consider policy and context before interpreting patterns.

The label is unsupported because two absence days reveal neither attitude nor motive. A fair process should apply policy consistently, protect health information and consider relevant context rather than classify a worker from a count.

Look for these in your work

  • Missing evidence identified
  • Absence categories treated carefully
  • Fair and confidential process proposed

Common mistakes

  • Treating sabotage ratings as observed sabotage behaviour
  • Assuming every workplace conflict leads to deliberate damage
  • Confusing job involvement with organisational commitment
  • Using a model category as a fixed personality label
  • Treating illness absence as evidence of low commitment or misconduct
Recall without your notes

What can you explain now?

Which Blau–Boal profile has high job involvement and low organisational commitment?

Compare with the explanation

The lone-wolf profile.

Keep involvement in the job distinct from commitment to the organisation.

After trying it yourself, choose your next review. This is your self-assessment.

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Make it stick

Distinguish job involvement from organisational commitment. Recall the four Blau–Boal profiles and the corresponding medical, career-enhancing, normative and calculative absence categories.

If you needed the solution, close it and solve the problem again from a blank page. A correct answer is stronger when you can explain the reason for each step.

Keep learning Psychology

Course scope and assessment

Seven original lessons map all 15 AS research-method and methodological-concept sections to explained Guided, Independent and Transfer practice. All 12 compulsory AS core studies have original study-specific teaching and staged practice; five additional A Level methodology lessons cover research design and validity. All 15 Clinical, all 15 Consumer (2.1.1–2.5.3) and all 15 Health (3.1.1–3.5.3) Psychology sections link to original teaching and staged practice. All 15 Organisational Psychology sections 4.1–4.5 now have original teaching and explained staged practice; the six new 4.4–4.5 lessons bring the planning map to 92 of 92 indexed sections. Consumer lessons cover physical and psychological environments; decision models, heuristics and mistakes; packaging, selling and buying; advertising, self-monitoring, product placement, brand recognition and slogans. Evaluation boundaries are explicit: studies use particular products, samples, tasks and settings; gaze, recall, self-report, EEG indices, ratings, choices and purchases are different outcomes. Health evidence is bounded: Laba et al. measured hypothetical preferences; Riekert and Drotar raise a non-response concern; Chung and Naya's cap tracked openings, not swallowing; Chaney et al. was a short caregiver-reported pilot; Yokley and Glenwick examined immunisation attendance in one public-health setting. MacLachlan et al. report one patient, not a controlled treatment effect; Brudvik et al. compared separate child, parent and physician ratings in one emergency department. Chandola et al. found a cohort association; Wang et al. measured responses during a monitored arithmetic task; Evans and Wener observed commuters; Bridge et al. found mixed self-rated outcomes in radiotherapy. Janis and Feshbach measured short-term self-reports in one school; Lewin et al. tested a rehabilitation package, not information alone. Tapper et al. and Fox et al. studied bounded school and worksite programmes; incentive effects do not establish transfer or rule out reporting effects. Weinstein measured comparative expectations, while Seligman’s framework is conceptual and Shoshani and Steinmetz used a school-level comparison. These findings do not establish universal health effects or diagnose individuals. Need-theory examples use a child measurement study, not a workplace test; SMART is a practical checklist, not a motivational theory. Landry et al. compared reward framing with student volunteers in a lab; this does not establish universal effects in workplaces. Cuadrado et al. (2008) measured undergraduate evaluations of presented leaders, not workplace performance or hiring; this does not establish a universal gender effect. The historical 1995 Munchausen criteria are not a current diagnostic checklist. Cambridge’s 2028–2030 Reference List treats Oruč et al. (1997) as an example of genetic explanation although its participants had bipolar I; gambling disorder is listed in Cambridge’s Clinical topic but classified under addictive behaviours in ICD-11. Candidates choose two options, but all four remain listed so schools can select a route. The 92-section count is a planning index, not a Cambridge score. Remaining work is deeper coverage review, separate-year syllabus reconciliation, timed-paper practice and human subject-expert review. The separate 2027 and 2024–2026 syllabuses are not reconciled into this route. Practice is not official grading, a timed-paper simulation or human subject-expert review.

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