MIGO-B

M-IGO-B

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Unit IV — Leadership & Motivation / Chapter 29

Process Theories of Motivation

M-IGO-B · 2026 Teaching Edition

Learning outcomes

  1. Explain process theories of motivation and distinguish the chapter's central concepts.
  2. Use expectancy theory, equity theory, goal-setting theory to frame a workplace diagnosis.
  3. Interpret the reported indicators while distinguishing observation, inference and missing evidence.
  4. Compare the case alternatives and justify a decision using theory, trade-offs and an evaluation plan.

Understanding the concept

Process theories examine how people connect effort, performance and outcomes. An employee may value a reward yet not pursue it if the target seems unattainable or the allocation seems arbitrary. Motivation depends on the credibility of the whole chain.

Process theories explain how motivation unfolds through cognitive evaluation rather than simply what needs exist. Vroom's expectancy theory argues motivation equals expectancy (effort leads to performance) times instrumentality (performance leads to reward) times valence (value of the reward), while Adams' equity theory shows people compare their outcome-to-input ratio against referent others and react to perceived unfairness. Locke's goal-setting theory adds that specific, challenging goals with feedback improve performance more than vague ones. A sales incentive plan can fail if any of these links breaks, particularly perceived fairness.

Expectancy concerns whether effort can lead to performance; instrumentality concerns whether performance leads to an outcome; valence concerns the value of that outcome. Equity thinking draws attention to comparisons of contributions and rewards. Goal-setting emphasizes clarity and challenge while requiring capability, resources and feedback. A highly specific target may direct attention efficiently while neglecting unmeasured aspects of work. Managers should examine both the intended behaviour and possible displacement of quality or cooperation.

  1. 1Concept: explain the mechanism
  2. 2Construct: define what matters
  3. 3Evidence: examine the signals
  4. 4Decision: weigh and justify
  5. 5Review: learn from consequences
Figure 29.1 — The M-IGO-B diagnostic learning cycle. A conceptual guide, not a validated scoring instrument.

Core components and theoretical lenses

Use the following distinctions to unpack the chapter's central idea. Each identifies a different aspect of the problem; their relationships matter as much as the labels themselves.

  1. 01

    Expectancy: belief that effort will lead to performance

  2. 02

    Instrumentality: belief that performance will lead to reward

  3. 03

    Valence: subjective value placed on the reward

  4. 04

    Equity: perceived fairness of outcome/input ratio versus referent others

  5. 05

    Goal specificity and difficulty combined with feedback

Conceptual constructs

A construct names an idea used to interpret behaviour. It is not directly interchangeable with a survey score or a single incident. In this chapter, the constructs below organize the diagnosis; examine how they could explain the observations before deciding what to change.

  • expectancy theory
  • equity theory
  • goal-setting theory
  • instrumentality
  • distributive justice

Observable and measurable indicators

Indicators connect an abstract explanation to something that can be observed. Check the operational definition, reporting period and comparison group. A survey average can conceal differences between teams, and an administrative record can reflect willingness to report as well as underlying behaviour.

  • Sales rep survey on believed effort-to-target achievability (expectancy proxy)
  • Variance in commission payouts between reps with similar territories
  • Frequency of informal comparisons or complaints about peer payouts
  • Percentage of reps hitting specific quarterly targets versus vague goals
  • Turnover rate among top-quartile performers after incentive plan changes

Storytelling / hypothetical teaching case

A workplace decision

Meridian Pharma Distributors revamped its 80-person field sales incentive plan to reward reps hitting new-product targets with a flat 50,000 rupee bonus regardless of territory difficulty. Ravi, a rep in a mature Mumbai territory with saturated demand, hit 90 percent of his tough new target and received nothing, while Priya, in a fast-growing Indore territory with easier growth dynamics, exceeded her lower target by 20 percent and received the full bonus plus a stretch kicker. Within a month, several experienced reps in tough territories, including Ravi, were overheard saying the plan is "rigged for the lucky ones" and stopped pushing the new product line altogether, reverting to easier established products. Regional sales figures for the new product line fell 11 percent company-wide despite the new incentive plan's higher potential payouts. The VP of Sales must redesign the plan before the next quarter.

The organization, characters and reported figures are supplied teaching material, not a verified corporate case report.

Reading the case evidence

Separate what the case reports from what you infer. A figure can establish the scale of a problem without establishing its cause. Note what information is absent and how that gap affects your confidence in a recommendation.

Table 29.1 — Evidence supplied in the existing learning module
SignalReported teaching-case evidence
New product sales change post-plan-11% company-wide
Bonus payout disparityRavi: Rs 0 at 90% of tough target; Priya: full bonus + kicker at 120% of easier target
Reps reverting to established products14 of 80
Survey: 'the incentive plan is fair'31% agreement
Survey: 'my effort will lead to hitting target'48% agreement, down from 71%

Decision alternatives and trade-offs

Alternatives represent different priorities and assumptions. The advantages and limitations below are the existing module's analytical prompts. Compare them against the same evidence rather than choosing first and finding a theory afterward.

ATerritory-adjusted targets with equity-weighted bonuses

Set difficulty-adjusted targets per territory using historical data, so bonus thresholds reflect comparable effort-to-outcome ratios.

Potential advantages

  • Directly restores equity theory's fairness comparison across territories
  • Likely to rebuild expectancy since targets become achievable

Limitations and risks

  • Requires robust territory difficulty data, which may be contested
  • More complex to administer and explain to the sales force

BKeep the flat bonus but add public leaderboard recognition

Retain the current flat-target structure but add visible peer recognition for top performers to boost motivation.

Potential advantages

  • Cheap and fast to implement
  • Recognition can add valence for some reps

Limitations and risks

  • Does not fix the core equity and expectancy problem driving disengagement
  • May worsen resentment among reps like Ravi being publicly outperformed unfairly

CRevert to the previous incentive plan entirely

Scrap the new plan and go back to the prior commission structure that existed before the new-product push.

Potential advantages

  • Quick to reverse damage and restore known baseline
  • Simple communication to the sales team

Limitations and risks

  • Loses the strategic push needed for new-product adoption
  • Does not build better incentive design capability for future launches

DIntroduce individualized stretch goals with regular coaching feedback

Set specific, challenging but achievable goals per rep with monthly coaching check-ins, per goal-setting theory, alongside equity-adjusted payouts.

Potential advantages

  • Combines goal-setting theory's specificity benefits with equity fix
  • Ongoing feedback improves expectancy by clarifying the effort-performance link

Limitations and risks

  • Requires significant manager time for regular coaching
  • Risk of goals being perceived as inconsistent if not well documented

Evidence-based discussion

For the sales plan, distinguish target difficulty from allocation fairness and payout reliability. Compare territories and selling opportunities before attributing results solely to effort. Alternatives should clarify controllable performance, transparent rules and a credible appeal process. Test whether employees understand the scheme and whether the resulting sales behaviour supports long-term customer relationships.

Theory-linked interpretation from the module

A good justification applies equity theory to explain why Ravi's outcome/input ratio versus Priya's referent comparison triggered disengagement, and expectancy theory to explain the drop in 'effort will lead to target' belief from 71% to 48%. Goal-setting theory should be used to argue whether flat, generic targets versus individualized stretch goals better sustain motivation, with instrumentality (bonus perceived as fairly earned) as the connecting link.

Your managerial judgement

How should the VP of Sales redesign the incentive plan to restore both fairness perceptions and motivation to sell the new product line?

Write a recommendation that identifies a preferred alternative, uses the reported evidence, acknowledges uncertainty and specifies a review point. Another choice can be defensible when its assumptions and trade-offs are made explicit.

Possible consequences

The module offers the following projections for discussion. They depend on implementation and context; they are not guaranteed effects or verified forecasts.

  • Short term: reverting the plan (Option C) stops the bleeding but forfeits new-product momentum
  • Short term: territory-adjusted targets require an uncomfortable but necessary conversation about historical territory data
  • Long term: restoring equity and expectancy perceptions can rebuild trust that top performers are fairly rewarded
  • Long term: individualized goal-setting with coaching builds a more sustainable, adaptive incentive culture
  • Long term: failure to fix fairness perceptions could see high-performing reps in tough territories leave for competitors

Reflection questions

  1. How much complexity in incentive design is acceptable before it undermines transparency?
  2. Is equity theory's referent comparison rational, or can it be manipulated by selective comparisons among reps?
  3. How should companies balance simplicity (flat bonuses) against fairness (adjusted targets)?
  4. What role does manager coaching play in restoring expectancy after a plan design failure?

Practice: Know → Analyse → Decide

These are the original module questions. Reading or printing this textbook does not change quiz scores, completion or certificate eligibility.

Know Question 29.1

In Vroom's expectancy theory, 'instrumentality' refers to:

  1. The belief that effort will lead to good performance
  2. The belief that performance will lead to a valued reward
  3. The subjective value an individual places on a reward
  4. The comparison of one's ratio of outcomes to inputs against a referent
Answer and explanation

B. Instrumentality is the perceived link between performance and receiving the reward, distinct from expectancy (effort-performance) and valence (value of reward).

Analyse Question 29.2

Ravi's reaction of disengaging and reverting to established products is best explained by:

  1. Low valence for the bonus amount
  2. Perceived inequity: his outcome/input ratio was worse than Priya's referent ratio despite comparable or greater effort
  3. A lack of any incentive plan at all
  4. Poor product knowledge
Answer and explanation

B. Ravi worked harder in a tougher territory yet received nothing while Priya was rewarded more easily, a classic equity theory-driven disengagement response.

Decide Question 29.3

Which redesign option best restores both equity and expectancy simultaneously?

  1. Option B: add a leaderboard but keep flat targets
  2. Option C: revert to the old plan with no new-product incentive
  3. Option A or D: territory-adjusted or individualized stretch goals with equity-adjusted payouts
  4. Increase the flat bonus amount for everyone equally
Answer and explanation

C. Adjusting targets or goals for territory difficulty directly restores the equity comparison and rebuilds the effort-performance-reward chain central to expectancy theory.

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