Unit IV — Leadership & Motivation
29. Process Theories of Motivation
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: belief that effort will lead to performance
- Instrumentality: belief that performance will lead to reward
- Valence: subjective value placed on the reward
- Equity: perceived fairness of outcome/input ratio versus referent others
- Goal specificity and difficulty combined with feedback
- 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
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.
New product sales change post-plan
-11% company-wide
Bonus payout disparity
Ravi: Rs 0 at 90% of tough target; Priya: full bonus + kicker at 120% of easier target
Reps reverting to established products
14 of 80
Survey: 'the incentive plan is fair'
31% agreement
Survey: 'my effort will lead to hitting target'
48% agreement, down from 71%
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.
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.
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.
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.
ATerritory-adjusted targets with equity-weighted bonuses
Strengths
- Directly restores equity theory's fairness comparison across territories
- Likely to rebuild expectancy since targets become achievable
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
Strengths
- Cheap and fast to implement
- Recognition can add valence for some reps
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
Strengths
- Quick to reverse damage and restore known baseline
- Simple communication to the sales team
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
Strengths
- Combines goal-setting theory's specificity benefits with equity fix
- Ongoing feedback improves expectancy by clarifying the effort-performance link
Risks
- Requires significant manager time for regular coaching
- Risk of goals being perceived as inconsistent if not well documented
How should the VP of Sales redesign the incentive plan to restore both fairness perceptions and motivation to sell the new product line?
Set difficulty-adjusted targets per territory using historical data, so bonus thresholds reflect comparable effort-to-outcome ratios.
Strengths: Directly restores equity theory's fairness comparison across territories; Likely to rebuild expectancy since targets become achievable. Risks: Requires robust territory difficulty data, which may be contested; More complex to administer and explain to the sales force.
Retain the current flat-target structure but add visible peer recognition for top performers to boost motivation.
Strengths: Cheap and fast to implement; Recognition can add valence for some reps. Risks: Does not fix the core equity and expectancy problem driving disengagement; May worsen resentment among reps like Ravi being publicly outperformed unfairly.
Scrap the new plan and go back to the prior commission structure that existed before the new-product push.
Strengths: Quick to reverse damage and restore known baseline; Simple communication to the sales team. Risks: Loses the strategic push needed for new-product adoption; Does not build better incentive design capability for future launches.
Set specific, challenging but achievable goals per rep with monthly coaching check-ins, per goal-setting theory, alongside equity-adjusted payouts.
Strengths: Combines goal-setting theory's specificity benefits with equity fix; Ongoing feedback improves expectancy by clarifying the effort-performance link. Risks: Requires significant manager time for regular coaching; Risk of goals being perceived as inconsistent if not well documented.
Set the weight of each criterion (1–5), then score every alternative (1–5). The matrix is a thinking aid, not a verdict.
| Criterion | Weight | A | B | C | D |
|---|---|---|---|---|---|
| Behavioural impact | |||||
| Employee acceptance | |||||
| Feasibility | |||||
| Cost (higher = more affordable) | |||||
| Risk containment | |||||
| Long-term sustainability |
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.
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.
- 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
- How much complexity in incentive design is acceptable before it undermines transparency?
- Is equity theory's referent comparison rational, or can it be manipulated by selective comparisons among reps?
- How should companies balance simplicity (flat bonuses) against fairness (adjusted targets)?
- What role does manager coaching play in restoring expectancy after a plan design failure?
In Vroom's expectancy theory, 'instrumentality' refers to:
Ravi's reaction of disengaging and reverting to established products is best explained by:
Which redesign option best restores both equity and expectancy simultaneously?