Unit II — Individual Behaviour
16. Decision Making: Rationality, Bias and Heuristics
Decision-making models range from the fully rational model, which assumes complete information and optimization, to bounded rationality, where managers satisfice under time, cognitive and information constraints, to intuitive decision-making based on pattern recognition from experience. Heuristics speed up decisions but can introduce systematic biases (anchoring, availability, confirmation bias, escalation of commitment), which are especially risky in high-stakes capital decisions.
- Rational decision model: define problem, generate all alternatives, evaluate systematically, choose optimum
- Bounded rationality and satisficing under constraints
- Intuitive judgment based on pattern recognition and experience
- Common heuristics and biases: anchoring, availability, confirmation bias, sunk-cost/escalation of commitment
- Risk preference and framing effects on choice
- Number of alternatives formally evaluated and documented before a capital decision (proxy for rationality vs shortcutting)
- Time and budget already sunk into a prior related project, tracked to check for escalation risk
- Diversity of information sources consulted (internal vs external, disconfirming vs confirming) before recommendation
- Presence of a formal pre-mortem or devil's advocate step in the decision process
- Variance between individual risk-preference statements and the option ultimately chosen by the group
Nandan Consumer Appliances, a mid-sized manufacturer of home appliances based in Faridabad with revenue of INR 850 crore, must decide how to add 40% capacity to meet growing demand for its water-purifier line over the next 18 months. The CFO has already spent INR 3 crore and eight months on land acquisition and approvals for a new dedicated plant, but recent market data shows a viable outsourcing partner and an automation retrofit of the existing plant as faster, lower-risk alternatives. The board is split: some members feel abandoning the new-plant plan would waste the sunk investment and appear indecisive, while others cite the newer market and automation data as compelling reasons to pivot before committing further capital.
Sunk cost on new plant (land, approvals) so far
INR 3 crore over 8 months
New plant estimated remaining cost and time
INR 22 crore, 14 more months
Outsourcing partner capacity and lead time
40% capacity available in 3 months, no capex
Automation retrofit cost and time
INR 9 crore, 6 months, adds 35% capacity
Demand growth forecast (purifier segment)
18% CAGR next 3 years, per market research
Board member risk-preference survey
60% prefer lower-capex, faster options this cycle
AContinue with the new dedicated plant as originally planned
Proceed with the full INR 22 crore, 14-month new plant build, citing the investment already made and long-term capacity control.
BPivot to the outsourcing partnership
Halt further new-plant spend and contract the outsourcing partner to meet capacity needs within 3 months.
CPursue the automation retrofit of the existing plant
Redirect capital to a 6-month, INR 9 crore automation upgrade of the current plant, adding 35% capacity in-house.
DRun a structured decision review with a formal pre-mortem before choosing
Pause for two weeks to run a rational-model evaluation of all three options against demand, cost, risk and time criteria, including a pre-mortem exercise to surface escalation bias.
AContinue with the new dedicated plant as originally planned
Strengths
- Provides full long-term control over capacity and quality
- Avoids the appearance of reversing a public commitment
Risks
- Classic escalation of commitment risk: continuing mainly because of sunk cost rather than forward-looking value
- Slowest option relative to the 18-month demand window, risking lost market share
BPivot to the outsourcing partnership
Strengths
- Fastest way to capture near-term demand growth
- No further capital expenditure required
Risks
- Creates long-term dependency on an external partner's quality and reliability
- Sunk INR 3 crore is fully written off
CPursue the automation retrofit of the existing plant
Strengths
- Retains in-house quality control while adding capacity faster than a new plant
- Lower capital outlay than the new plant option
Risks
- 35% capacity gain falls short of the full 40% target, requiring a secondary solution
- Retrofit projects often carry integration risk with existing production lines
DRun a structured decision review with a formal pre-mortem before choosing
Strengths
- Reduces the risk of anchoring on the original plan due to sunk cost or confirmation bias
- Produces a documented, defensible rationale for the board
Risks
- Two-week delay in a time-sensitive market opportunity
- May still land on the same decision if not genuinely open to disconfirming evidence
Which option should the board choose for meeting the 40% capacity target, and how would you use decision-making theory to justify avoiding or embracing escalation of committed resources?
Proceed with the full INR 22 crore, 14-month new plant build, citing the investment already made and long-term capacity control.
Strengths: Provides full long-term control over capacity and quality; Avoids the appearance of reversing a public commitment. Risks: Classic escalation of commitment risk: continuing mainly because of sunk cost rather than forward-looking value; Slowest option relative to the 18-month demand window, risking lost market share.
Halt further new-plant spend and contract the outsourcing partner to meet capacity needs within 3 months.
Strengths: Fastest way to capture near-term demand growth; No further capital expenditure required. Risks: Creates long-term dependency on an external partner's quality and reliability; Sunk INR 3 crore is fully written off.
Redirect capital to a 6-month, INR 9 crore automation upgrade of the current plant, adding 35% capacity in-house.
Strengths: Retains in-house quality control while adding capacity faster than a new plant; Lower capital outlay than the new plant option. Risks: 35% capacity gain falls short of the full 40% target, requiring a secondary solution; Retrofit projects often carry integration risk with existing production lines.
Pause for two weeks to run a rational-model evaluation of all three options against demand, cost, risk and time criteria, including a pre-mortem exercise to surface escalation bias.
Strengths: Reduces the risk of anchoring on the original plan due to sunk cost or confirmation bias; Produces a documented, defensible rationale for the board. Risks: Two-week delay in a time-sensitive market opportunity; May still land on the same decision if not genuinely open to disconfirming evidence.
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.
The escalation of commitment literature warns that decision-makers often continue a failing or suboptimal course of action to justify prior investment and avoid appearing indecisive, which is precisely the psychological pressure described in the board's split — this cautions against Option A being chosen for that reason alone. Bounded rationality reminds us that the original new-plant decision was made under the information available eight months ago, and rational decision-making requires re-evaluating with current data (outsourcing lead time, automation option, revised demand forecast) rather than anchoring on the original plan. Option D operationalizes this by structuring a fresh, criteria-based comparison and a pre-mortem to counteract confirmation bias, and even if the board ultimately still prefers a plant-based solution, doing so through Option D produces a justification rooted in current value rather than sunk cost.
- Short-term: continuing the new plant (Option A) locks in another 14 months of capital exposure before any capacity gain is realized
- Short-term: pivoting to outsourcing (Option B) captures demand fastest but exposes quality risk immediately
- Long-term: a structured re-evaluation (Option D) improves the quality and defensibility of large capital decisions going forward, not just this one
- Long-term: choosing automation (Option C) may require a follow-up decision later to close the remaining 5% capacity gap
- Long-term: writing off the sunk INR 3 crore, if the data supports it, protects the firm from a larger future loss, consistent with rational capital allocation principles
- What psychological and organizational pressures make it hard for the board to abandon the new-plant plan despite new data?
- How would you distinguish between a legitimate reason to continue an investment and pure escalation of commitment?
- What role should a formal pre-mortem or devil's advocate play in high-stakes capital decisions in your own organization?
Escalation of commitment refers to:
Why is the board's argument that 'abandoning the plan would waste the sunk investment' considered a biased justification?
Which approach best reduces the risk of escalation of commitment while still respecting the time-sensitive opportunity?