MIGO-B

M-IGO-B

Learn people. Lead behaviour. Manage better.

All modules

Unit I — Foundations of OB

1. Nature & Scope of OB

1Concept

Organizational Behaviour studies how individuals, groups, and organizational structures interact to affect behaviour within firms, at three nested levels of analysis: individual, group, and organization. Managers use this lens to diagnose whether a performance problem originates in a person's ability/motivation, a team's dynamics, or systemic organizational design. Task performance (formal job duties), organizational citizenship behaviour (OCB, discretionary helpful acts), and counterproductive work behaviour (CWB, deliberate harmful acts) together determine organizational effectiveness.

2Components
  • Individual level: ability, personality, perception, motivation, job attitudes
  • Group level: team dynamics, communication, leadership, conflict, norms
  • Organization level: structure, culture, HR policies, technology, environment
  • Behavioural outcomes: task performance, OCB, CWB, turnover, absenteeism
  • Effectiveness criteria: productivity, quality, employee well-being, adaptability
3Key constructs
Task performanceOrganizational citizenship behaviour (OCB)Counterproductive work behaviour (CWB)Organizational effectivenessLevels of analysis (micro-meso-macro)
4Observable / measurable indicators
  • Absenteeism rate — unplanned absence days divided by scheduled days, monthly
  • Productivity index — units produced per labour hour versus standard, weekly
  • OCB frequency — supervisor-rated helping/voice behaviours on a 5-point scale, quarterly
  • CWB incidents — recorded disciplinary actions, theft, sabotage reports per quarter
  • Employee turnover rate — voluntary exits divided by average headcount, annually
  • Grievance count — formal complaints filed per 100 employees, monthly
5Corporate / industrial scenario

Anand Auto Components, a 450-employee tier-2 manufacturing plant near Pune supplying gaskets to two major OEMs, has seen line productivity fall 14% over two quarters while absenteeism on the night shift has risen from 4% to 11%. The plant HR manager, Radhika Iyer, initially assumed the night-shift supervisor was simply a poor leader, but exit interviews reveal complaints about outdated machines, unclear shift rotation policies, and a new incentive scheme that inadvertently rewards individual output over team quality checks. Some workers privately blame a few colleagues for taking excessive breaks and slowing the line, while others say management never explains scheduling decisions. Radhika must decide whether the root cause lies with individuals, the shift team's dynamics, or the plant's broader systems before recommending a fix to the plant head.

6Evidence and data

Productivity decline

-14% over two quarters

Night-shift absenteeism

4% -> 11%

Machine downtime (night shift)

18% of shift hours

Incentive scheme

Rewards individual units, not team quality

Grievances filed (last quarter)

27, up from 9

Exit interview theme

Unclear rotation and scheduling policy (61% of exits)

7Alternatives

AIndividual-level intervention: performance coaching and discipline

Target specific low-performing workers with coaching, warnings, or reassignment, treating this as an individual motivation/ability problem.

BGroup-level intervention: team-building and shift norms reset

Run facilitated sessions to rebuild shift-team cohesion, clarify roles, and reset norms around breaks and mutual accountability.

COrganization-level redesign: fix incentive scheme, machines, and scheduling transparency

Redesign the incentive scheme to reward team quality outcomes, invest in machine maintenance, and publish a transparent rotation policy.

DDiagnostic pilot: combine limited coaching with a structural audit before full rollout

Run a 6-week diagnostic on one line combining light-touch individual coaching, a team norms workshop, and data collection on machine/incentive effects before committing to a plant-wide fix.

8Analyse the alternatives

AIndividual-level intervention: performance coaching and discipline

Strengths

  • Fast, visible action
  • Addresses genuine free-riders if they exist

Risks

  • Ignores systemic incentive design flaw
  • Risks scapegoating and morale damage if root cause is structural

BGroup-level intervention: team-building and shift norms reset

Strengths

  • Improves communication and trust
  • Can surface informal norms undermining quality

Risks

  • Does not fix the incentive scheme driving individualistic behaviour
  • Effects may fade without structural follow-through

COrganization-level redesign: fix incentive scheme, machines, and scheduling transparency

Strengths

  • Addresses root systemic causes
  • Signals fairness, likely to reduce grievances and turnover

Risks

  • Higher cost and longer implementation time
  • Requires plant-head and corporate sign-off

DDiagnostic pilot: combine limited coaching with a structural audit before full rollout

Strengths

  • Evidence-based, reduces risk of wrong diagnosis
  • Builds buy-in through visible experimentation

Risks

  • Delays relief to a plant already losing productivity
  • Requires disciplined measurement capability
9Learner decision

Which level of analysis (individual, group, or organization) should Radhika prioritize first, and what specific action should she recommend to the plant head?

A
Individual-level intervention: performance coaching and discipline

Target specific low-performing workers with coaching, warnings, or reassignment, treating this as an individual motivation/ability problem.

Strengths: Fast, visible action; Addresses genuine free-riders if they exist. Risks: Ignores systemic incentive design flaw; Risks scapegoating and morale damage if root cause is structural.

B
Group-level intervention: team-building and shift norms reset

Run facilitated sessions to rebuild shift-team cohesion, clarify roles, and reset norms around breaks and mutual accountability.

Strengths: Improves communication and trust; Can surface informal norms undermining quality. Risks: Does not fix the incentive scheme driving individualistic behaviour; Effects may fade without structural follow-through.

C
Organization-level redesign: fix incentive scheme, machines, and scheduling transparency

Redesign the incentive scheme to reward team quality outcomes, invest in machine maintenance, and publish a transparent rotation policy.

Strengths: Addresses root systemic causes; Signals fairness, likely to reduce grievances and turnover. Risks: Higher cost and longer implementation time; Requires plant-head and corporate sign-off.

D
Diagnostic pilot: combine limited coaching with a structural audit before full rollout

Run a 6-week diagnostic on one line combining light-touch individual coaching, a team norms workshop, and data collection on machine/incentive effects before committing to a plant-wide fix.

Strengths: Evidence-based, reduces risk of wrong diagnosis; Builds buy-in through visible experimentation. Risks: Delays relief to a plant already losing productivity; Requires disciplined measurement capability.

Score the alternatives

Set the weight of each criterion (1–5), then score every alternative (1–5). The matrix is a thinking aid, not a verdict.

CriterionWeightABCD
Behavioural impact
Employee acceptance
Feasibility
Cost (higher = more affordable)
Risk containment
Long-term sustainability
A
54
B
54
C
54
D
54

With your current weights, alternative A scores highest. A matrix only reflects the weights you chose. Evidence, ethics, feasibility and the people affected still belong in your judgement — you decide.

Your decision and rationale
Select an alternative first.
10Justification using OB theory

OB theory suggests behaviour is jointly determined by person and situation (Lewin's B = f(P, E)); before attributing the productivity fall to individual failings, managers should rule out situational/systemic causes such as flawed incentive design, which is a classic case of rewarding the wrong behaviour. The evidence pattern here (falling productivity, rising absenteeism, an incentive scheme misaligned with quality, and grievances about policy transparency) points toward organizational-level and group-level causes rather than individual deficiency alone, so any credible answer should show a diagnostic sequence rather than jumping to blame.

11Expected consequences
  • Short-term: choosing individual discipline without fixing incentives likely triggers further grievances and possible unionized pushback
  • Short-term: a diagnostic pilot delays a company-wide fix but produces defensible data for the plant head
  • Long-term: correcting the incentive scheme should realign OCB and reduce CWB such as corner-cutting on quality checks
  • Long-term: transparent scheduling policy is likely to reduce absenteeism and turnover over 2-3 quarters
  • Reputational: how this is handled affects trust in HR's fairness across the wider plant, not just the night shift
12Reflection
  • How would you distinguish a genuine individual performance problem from a symptom of poor organizational design?
  • What data would you want before concluding the incentive scheme, not the workers, is the primary cause?
  • How might OCB and CWB be simultaneously present on the same shift, and what does that tell you?
  • What risks does Radhika face if she acts only at the individual level to look decisive quickly?
Knowledge check — Know / Analyse / Decide
Know

Organizational Behaviour typically analyses phenomena at which three levels?

Analyse

In the Anand Auto case, which piece of evidence most strongly suggests an organization-level (not purely individual) cause?

Decide

Given the mixed evidence of both individual complaints and systemic issues, what is the most defensible first step for Radhika?

Answer all three levels to submit.