NABARD Grade A · Decision Making
NABARD Grade A | Chapter-Wise Top 150 Decision-Making Terms: Basics to Advanced
Master the most important 150 Decision-Making terms for NABARD Grade A through a chapter-wise approach. This resource covers concepts from basic to advanced level, along with clear definitions, practical examples, and exam-oriented explanations to help you strengthen conceptual clarity and solve decision-making questions with confidence. Perfect for quick revision and last-minute preparation.
How to use this glossary
- Read a term, cover the explanation, and try to reproduce the one-line definition from memory.
- Tick the checkbox on each card once you can recall it. The gold meter tracks your mastery across all 150 terms.
- Use the search box and the chapter and level filters to drill only the terms you still need.
- Run the flashcard drill and the ten-question self test to convert reading into recall before the exam.
Why this list
Built for the way NABARD tests decision-making
NABARD Grade A rarely asks a bare definition. It gives a short case and asks you to name the model, the condition, the bias or the leadership style at work. This glossary is arranged for exactly that skill.
The terms run in learning order, not alphabetical order, so a concept that another concept depends on always comes first. You move from the basics of a decision, through the types and conditions of decisions, into the models that explain how decisions are really made, then the techniques, the biases that derail them, and finally the individual styles and leadership styles that shape them.
Every entry keeps to the same shape: a one-line definition you can recall under pressure, a three to five sentence explanation with an Indian example or figure, and two linked terms so you can move across related ideas. Difficulty tags of Basic, Intermediate and Advanced let you pace your revision.
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Contents
Eight chapters, 150 terms
Basics of Decision-Making
001 to 018001learntDecisionBasicA choice made after considering a situation, settling what is to be done or deliberately not done.
Decision
A decision is a determination reached at the end of deliberation, and it commits the decision maker to a course of action or to conscious inaction. In an organisation, every decision guides behaviour and influences outcomes for both individuals and the institution. For example, a branch manager choosing to sanction a Kisan Credit Card loan is taking a decision that binds the branch to disburse and monitor that credit. A decision is therefore never an idle thought; it is a commitment with consequences.
002learntDecision-MakingBasicThe cognitive process of selecting one course of action from two or more alternatives to achieve an objective.
Decision-Making
Peter Drucker held that whatever a manager does, he does through making decisions, which places decision-making at the very centre of management. L. M. Prasad defined it as the process of choosing a course of action from among alternatives to achieve a predetermined objective. The process runs across planning, organising, staffing, directing and controlling, so it is inseparable from managerial work itself. For a NABARD officer appraising a project, decision-making means weighing feasibility, cost and rural impact before committing funds.
003learntDecision MakerBasicThe individual or group holding the authority and responsibility to take a particular decision.
Decision Maker
The decision maker may be a top executive, a middle manager, or a committee, depending on the nature, importance and impact of the matter. The quality of a decision rests heavily on the competence, experience, judgment and information available to this person or body. In group settings such as the RBI Monetary Policy Committee, collective wisdom improves quality but can also add delay and compromise. Identifying who should decide is itself a managerial skill, since decisions pushed to the wrong level often fail.
004learntObjectivesBasicThe specific ends a decision seeks to achieve, providing direction and a benchmark for evaluating alternatives.
Objectives
Every sound decision is taken with the purpose of achieving a defined objective, which keeps the process focused on organisational goals rather than personal preference. Objectives act as yardsticks against which each alternative is measured during evaluation. For instance, a bank revising its credit appraisal norms may aim to reduce non-performing assets in self-help group lending while still promoting financial inclusion. Without clear objectives, decisions drift and become inconsistent and ineffective.
005learntProblem IdentificationBasicRecognising a gap between the present situation and the desired state that calls for a decision.
Problem Identification
Decision-making begins when a manager becomes aware of a problem or an opportunity, defined as a deviation between what is and what should be. Correct identification is critical because a wrongly defined problem leads straight to an inappropriate solution. Managers must separate symptoms from root causes and ask the right questions rather than rush to quick answers. A cooperative bank seeing falling recoveries must ask whether the cause is weak appraisal, drought, or diversion of funds before acting.
006learntSymptoms vs Root CausesIntermediateThe distinction between visible signs of a problem and the underlying factors actually producing it.
Symptoms vs Root Causes
A symptom is what the manager first notices, while the root cause is the deeper condition generating that symptom. Treating symptoms alone gives temporary relief but the problem soon returns, so effective decisions target the root cause. A district office seeing repeated loan defaults may treat the symptom by tightening recovery, yet the root cause could be poor borrower selection. Tools such as the Five Whys and the Fishbone Diagram are used precisely to move from symptom to cause.
007learntAlternativesBasicThe realistic and feasible courses of action developed once a problem has been clearly identified.
Alternatives
The quality of a decision improves as the range of well-conceived alternatives widens, because it enlarges the field of choice. Managers should resist narrowing options too early and should encourage creative thinking to surface better possibilities. A decision built on inadequate or poorly framed alternatives is likely to be sub-optimal. For a NABARD scheme, alternatives might range from direct refinance to a partnership with a Farmer Producer Organisation, each carrying different reach and risk.
008learntEvaluation of AlternativesBasicThe systematic comparison of alternatives by their costs, benefits, risks and likely consequences.
Evaluation of Alternatives
Evaluation weighs both quantitative factors such as financial cost and qualitative factors such as social impact and organisational fit. Managers must assess short-term gains alongside long-term implications before narrowing the field. This stage injects rationality and objectivity, ensuring the final choice is not arbitrary. When appraising two irrigation projects, a development bank compares outlay, expected yield gain, repayment capacity and environmental effect side by side.
009learntChoiceBasicThe actual act of selecting one alternative from the options, and the point of managerial commitment.
Choice
Choice is the heart of decision-making, where judgment converts analysis into a single selected course of action. Selecting one alternative simultaneously means rejecting the others, which makes this stage critical and often difficult. The soundness of the choice depends heavily on the accuracy of earlier steps, especially problem identification and evaluation. A loan committee finally approving one proposal over three others is exercising choice and accepting responsibility for it.
010learntImplementationBasicTranslating the chosen decision into action through communication, resources and assigned responsibilities.
Implementation
A decision remains a mere intention until it is put into effect, so implementation is where most value is won or lost. This stage involves communicating the decision, allocating resources, fixing responsibilities and coordinating across departments. Leadership, motivation and control are needed to overcome resistance to change. Many well-conceived policies fail not because the choice was wrong but because implementation was weak, as seen when good rural schemes falter at the last-mile delivery.
011learntFeedbackBasicMeasuring actual outcomes against expected results to assess a decision and guide corrective action.
Feedback
Feedback closes the decision-making loop by comparing what happened with what was intended, revealing any deviation. It allows managers to judge effectiveness, correct course, and learn for future decisions, which reinforces the continuous and dynamic nature of the process. In Simon's framework this corresponds to verifying and testing the solution. A scheme review that tracks disbursement, uptake and default against targets is the feedback that tells NABARD whether to continue, modify or withdraw the scheme.
012learntCommitmentIntermediateThe obligation of resources and effort that every decision creates until it is fully implemented.
Commitment
Once a decision is taken, the organisation and its members are expected to act in line with it, which ties up resources and creates expectations among stakeholders. Because organisational activities are interrelated, a decision in one area often affects others, extending managerial commitment from the moment of choice to successful completion. The degree of commitment varies with whether the decision is routine or strategic, short-term or long-term. A board committing capital to a new lending vertical binds the institution for years, not weeks.
013learntRational ThinkingIntermediateThe logical analysis of objectives, information and alternatives to select the most defensible option.
Rational Thinking
Classical management theory assumes decisions rest on rational thinking, where the decision maker sets objectives, gathers information, evaluates alternatives and picks the most logical option. The human ability to learn, remember and relate complex variables makes such reasoning possible. In practice, complete rationality is limited by shortages of information and time, which is why real behaviour departs from the ideal. RBI using macroeconomic data before deciding on the repo rate is an example of rational thinking applied at scale.
014learntClosed Decision SystemAdvancedA deliberately bounded system that considers only selected, relevant alternatives to reduce complexity.
Closed Decision System
Under conditions of certainty, managers may raise predictability by creating a closed decision system in which only significant and information-rich alternatives are admitted. Factors that are unknown or judged unimportant are consciously ignored so that attention stays on controllable variables. This simplification is what makes routine, programmed decisions fast and objective. Reordering branch cash within fixed limits treats the wider economy as outside the system and focuses only on stock and demand.
015learntOpportunity CostBasicThe value of the best alternative given up when one option is chosen over the others.
Opportunity Cost
Because choosing one alternative means rejecting the rest, every decision carries an opportunity cost equal to the benefit of the next best option foregone. Rational evaluation compares alternatives partly by weighing what is sacrificed, not just what is gained. Ignoring opportunity cost leads managers to overvalue a chosen path. If a bank deploys limited funds in gold loans rather than agriculture term loans, the foregone farm-sector return is the opportunity cost of that choice.
016learntTrade-offBasicA balancing of competing objectives where gaining on one criterion means giving up on another.
Trade-off
Real decisions rarely improve every objective at once, so managers must accept a trade-off, sacrificing some of one desirable quality to gain another. Recognising trade-offs openly leads to more honest evaluation than pretending an option is best on all counts. A classic trade-off in lending is between speed and thoroughness of appraisal, since faster sanction can raise default risk. Naming the trade-off helps a committee decide which criterion matters most in the given context.
017learntSimon's Decision-Making ModelIntermediateHerbert Simon's view that decision-making is a staged process, not a single instant of choice.
Simon's Decision-Making Model
Herbert A. Simon, a Nobel laureate in economics in 1978, argued that decisions are integral to the organisation and, if taken poorly or late, harm its goals. He treated decision-making as a process with two linked parts, the decision itself and its application, both equally important. He divided the process into distinct stages that cannot be skipped, giving managers a disciplined route from problem to action. His work laid the foundation for bounded rationality and modern administrative theory.
018learntIntelligence, Design and Choice PhasesIntermediateSimon's three core phases: scanning for problems, designing alternatives, and selecting the best one.
Intelligence, Design and Choice Phases
In the intelligence phase the manager scans the environment, collects data and identifies the problem that needs a solution. In the design phase several strategies are formulated and analysed on their merits and demerits to see which fits the problem. In the choice phase the best-suited strategy is selected using qualitative and quantitative analysis, which requires creativity and judgment. A bank manager who spots rising NPAs, evaluates policy options, and then adopts a revised credit appraisal system moves through all three phases in order.
Types of Decision-Making
019 to 035019learntProgrammed DecisionsBasicRoutine, repetitive decisions taken under established rules, policies or standard operating procedures.
Programmed Decisions
Programmed decisions deal with well-structured problems that recur often, so managers apply pre-set rules instead of fresh judgment each time. They deliver consistency, efficiency and speed, which is why they suit lower-level and operational work. Sanctioning a routine agricultural loan within prescribed limits, or a HR portal auto-approving leave when the balance is sufficient, are programmed decisions. Because criteria are fixed, they can even be automated by rule-based systems.
020learntNon-Programmed DecisionsBasicNovel, unstructured decisions with no established rule, requiring judgment, creativity and analysis.
Non-Programmed Decisions
Non-programmed decisions confront one-off situations for which no procedure exists, so they demand original thinking and detailed evaluation. They are usually taken at higher levels because of their complexity and long-term consequences. An IT firm deciding to enter the artificial intelligence consulting market, or an NBFC choosing to expand into rural lending, involves non-programmed decision-making. The cost of error is high, so these decisions justify slower and more thorough deliberation.
021learntRoutine (Operating) DecisionsBasicRepetitive short-term decisions on day-to-day functioning, taken at lower or middle levels.
Routine (Operating) Decisions
Routine or operating decisions handle the ordinary running of the organisation and carry relatively low risk because they follow established policy. They are short-term in importance and are usually delegated downward to keep senior managers free for larger matters. Fixing daily work schedules in a unit or approving leave in a government office are routine decisions. Their strength is speed; their limit is that they cannot resolve strategic questions.
022learntStrategic DecisionsIntermediateFundamental long-term decisions that set the organisation's direction, taken by top management.
Strategic Decisions
Strategic decisions determine the long-term direction and even the survival of the organisation, committing large resources and engaging the external environment. They are non-routine, complex and carry high risk, so they rest with top management and affect the whole institution. The Government of India deciding to disinvest select public sector undertakings, or a conglomerate diversifying into renewable energy, are strategic decisions. Their consequences unfold over years and are difficult to reverse.
023learntTactical DecisionsIntermediateMedium-term decisions on how to deploy resources to carry out strategy, taken by middle managers.
Tactical Decisions
Tactical decisions answer how performance will be managed to achieve the chosen strategy, addressing what resources and what timescale are needed. They work within clearer boundaries than strategy but may still involve important resources and medium-term implications. Designing a production plan, marketing approach or supply chain to support an electric vehicle strategy is tactical. They bridge the gap between grand strategy above and daily operations below.
024learntOperational DecisionsBasicRoutine day-to-day decisions ensuring smooth functioning, taken by supervisors or junior managers.
Operational Decisions
Operational decisions concern the immediate, recurring activities that keep the organisation running from day to day. They are taken by supervisors or junior managers and are simple and rule-guided, forming the base of the decision pyramid below tactical and strategic layers. Scheduling shifts on a factory floor or assigning tasks to sales staff in a region are operational decisions. Their focus is execution, not direction.
025learntOrganizational DecisionsBasicDecisions taken by managers in their official capacity to achieve organisational goals, often delegable.
Organizational Decisions
Organizational decisions are made by managers acting in their formal role and relate to policies, budgets, procedures and systems. Because they belong to the office rather than the person, many can be delegated to subordinates. Framing HR policies for contractual staff in a public sector undertaking, or revising branch-level targets in a regional rural bank, are organizational decisions. They are judged by their contribution to institutional objectives.
026learntPersonal DecisionsBasicDecisions taken by individuals in their personal capacity, which cannot be delegated.
Personal Decisions
Personal decisions relate to an individual's own career, preferences or private matters and mainly affect that person rather than the organisation. Unlike organizational decisions, they cannot be handed to someone else. An employee deciding whether to appear for RBI Grade B or continue in a private sector job is taking a personal decision. Such choices are shaped by individual values, goals and circumstances.
027learntIndividual DecisionsBasicDecisions taken by a single manager or authority, generally faster but exposed to personal bias.
Individual Decisions
Individual decisions are made by one person and are quick, which suits routine matters or situations needing confidentiality. Their weakness is that they may rest on limited information and can carry the decision maker's personal bias. A district magistrate taking an immediate call during a law-and-order situation is making an individual decision. Speed is the gain; narrowness of perspective is the risk.
028learntGroup DecisionsBasicDecisions taken collectively by committees, boards or teams, gaining from pooled knowledge.
Group Decisions
Group decisions draw on diverse viewpoints and shared knowledge and win greater acceptance among members, which eases implementation. Their cost is that they can be time-consuming and are sometimes prone to groupthink, where the urge for harmony crowds out critical review. The Monetary Policy Committee of the RBI, deciding policy interest rates by majority vote, is a classic group-decision body. Structured techniques such as the Nominal Group Technique are used to capture the benefits while limiting the risks.
029learntPolicy DecisionsIntermediateTop-management decisions that lay down broad guidelines and principles to direct future action.
Policy Decisions
Policy decisions set the standing rules and expectations that steer behaviour across the whole organisation over the long run. They are taken by top management and provide the frame within which lower decisions are made. Framing a credit policy by a commercial bank, or a rule that every employee must complete a fixed number of training hours to qualify for promotion, are policy decisions. They define what is permitted rather than handle a single case.
030learntAdministrative DecisionsIntermediateMiddle-management decisions that translate policies into workable procedures and programmes.
Administrative Decisions
Administrative decisions occupy the middle layer, converting broad policy into concrete procedures and programmes that can actually be run. They bridge the gap between policy formulation at the top and execution at the bottom. Designing a loan appraisal procedure based on the bank's approved credit policy is an administrative decision. Their focus is on how policy will be operationalised, not on the policy itself.
031learntExecutive DecisionsIntermediateLower-level operating decisions that implement policies and procedures in actual day-to-day work.
Executive Decisions
Executive or operating decisions are taken at lower levels to apply established policies and procedures during real operations. They sit at the delivery end of the policy chain, after policy and administrative decisions have set the frame. Sanctioning individual loans strictly as per approved procedure is an executive decision. Discretion here is limited, because the rules have already been fixed above.
032learntRational DecisionsIntermediateDecisions built on logical analysis, systematic evaluation and the use of data.
Rational Decisions
Rational decisions follow a structured route of defining the problem, collecting information, evaluating alternatives and selecting the best option. They aim for objectivity and are strongest when time and data allow full analysis. RBI using macroeconomic indicators before changing the repo rate is a rational decision at the national level. The approach maximises defensibility but can be slowed by its own demand for information.
033learntIntuitive DecisionsIntermediateDecisions that rely on experience, judgment and instinct rather than formal analysis.
Intuitive Decisions
Intuitive decisions lean on the decision maker's accumulated experience and gut feel, which is useful when time is short or data is thin. They can be fast and, in the hands of an expert, surprisingly accurate, but they are hard to justify and open to bias. An experienced entrepreneur backing a startup on market instinct, or a panel picking a candidate because they feel the fit is right, are intuitive decisions. They trade explicit logic for speed and pattern recognition.
034learntDepartmental DecisionsBasicDecisions confined to a single department and taken by its head to manage internal functioning.
Departmental Decisions
Departmental decisions stay within one department and are taken by the department head to run its internal affairs. Their scope is limited, so they can be made quickly without wide consultation. A production manager fixing shift timings within the production department is taking a departmental decision. They contrast with decisions that require several departments to align.
035learntInterdepartmental DecisionsIntermediateDecisions needing coordination across two or more departments, often taken through joint consultation.
Interdepartmental Decisions
Interdepartmental decisions involve matters that cut across departments and therefore require coordination, usually through committees or joint meetings. They are more complex than departmental decisions because they must reconcile different priorities. Launching a new product in an FMCG firm needs marketing, production, finance and logistics to decide together. The challenge is alignment, since a decision optimal for one department may burden another.
Conditions of Decision-Making
036 to 056036learntDecision-Making EnvironmentIntermediateThe information conditions under which a decision is made, shaping its nature and quality.
Decision-Making Environment
The environment refers to how much a manager knows about the consequences of alternatives, ranging from complete knowledge to none at all. It determines which tools can be used, the risk appetite required, and the speed and quality of the decision. Broadly the environment is classified into certainty, risk and uncertainty, with ambiguity added as a fourth and hardest condition. For a public institution like NABARD handling uncertain rural and climate-linked projects, reading the environment correctly is the first step to a sound decision.
037learntDecision-Making under CertaintyBasicA condition where the outcome of each alternative is known with complete accuracy.
Decision-Making under Certainty
Under certainty the manager has full, reliable information, only one outcome follows each alternative, and no probability is needed. Cause and effect are well established, so choice becomes simple and objective, which is why routine programmed decisions live here. Deciding how much inventory to reorder when both stock and requirement are known is a decision under certainty. A useful memory line is that certainty means no doubt, no variability and no probabilities.
038learntDecision-Making under RiskBasicA condition where outcomes are uncertain but their probabilities are known or can be estimated.
Decision-Making under Risk
Under risk the manager knows the alternatives but not which outcome will occur, though each outcome carries a measurable probability drawn from past data or statistics. Quantitative tools such as expected value, decision trees and standard deviation become essential here. Pricing a crop insurance product using twenty years of rainfall and yield data to estimate claim probabilities is a classic decision under risk. Effective analysis cannot remove risk but helps managers balance expected return against the organisation's risk-bearing capacity.
039learntDecision-Making under UncertaintyIntermediateA condition where multiple outcomes exist but their probabilities cannot be estimated.
Decision-Making under Uncertainty
Under uncertainty the information is incomplete or unreliable and no probabilities can be attached, so past data offers little help. It arises from rapid change in the economy, technology, competition or policy, leaving the environment unstable and unpredictable. Financing a completely new agri-technology with no pilot studies or adoption data is a decision under uncertainty. Managers fall back on judgment and rules such as Maximin, Maximax and Laplace rather than probability calculations.
040learntDecision-Making under AmbiguityAdvancedThe hardest condition, where the problem itself or the objectives are unclear or contested.
Decision-Making under Ambiguity
Ambiguity means confusion at the very level of defining the problem and the goals, not just uncertainty about outcomes. Alternatives are ill-defined, cause-and-effect links are unclear, and stakeholders may disagree on what success even looks like. A policy directive to promote innovative and inclusive agricultural finance, with no beneficiaries, instruments or success indicators specified, creates ambiguity. Managers respond through exploration, using scenario planning, pilots, stakeholder consultation and the Delphi technique rather than precise calculation.
041learntStandard Operating Procedures (SOPs)BasicWritten step-by-step instructions that fix how a recurring task is carried out.
Standard Operating Procedures (SOPs)
SOPs convert past learning and policy into a fixed sequence of actions so that different employees follow the same method. This reduces variability, training time and mistakes, which makes them a natural tool under certainty for routine decisions. Handling customer complaints or running branch safety checks by a documented SOP ensures consistency across locations. They embody programmed decision-making at the process level.
042learntPayoff MatrixIntermediateA table showing the outcome of each alternative under each possible state of nature.
Payoff Matrix
A payoff matrix lays out alternatives as rows and states of nature as columns, with each cell holding the payoff that results from that combination. It is the common starting structure for applying decision rules under both risk and uncertainty. From the same matrix a manager can compute expected value, or apply Maximin, Maximax, Laplace and Minimax Regret. Building the matrix forces clarity about what could happen and what each choice would yield.
043learntExpected Value (EV)IntermediateThe probability-weighted average payoff of a risky alternative across all its possible outcomes.
Expected Value (EV)
Expected value is found by multiplying each outcome's payoff by its probability and summing the results, giving the long-run average if the choice were repeated many times. Managers often prefer the alternative with the higher EV, subject to their attitude to risk. If a project offers a forty per cent chance of a payoff of 100 and a sixty per cent chance of 20, its EV is 52. EV is the core tool for decision-making under risk, though it should be read alongside the spread of outcomes.
044learntDecision TreeIntermediateA branching diagram mapping decision points, chance events, probabilities and payoffs.
Decision Tree
A decision tree shows decisions as squares and chance events as circles, with branches carrying probabilities and end nodes carrying payoffs. Expected values are computed by working backwards from the end nodes to the start, a method called backward induction, so multi-stage choices can be compared. It makes visible a sequence such as choosing a strategy, then facing market states with given probabilities, each with its own payoff. The alternative whose branch yields the best expected value, or the best risk-return balance, is usually selected.
045learntSensitivity AnalysisAdvancedTesting how a decision's outcome changes when key assumptions or inputs are varied.
Sensitivity Analysis
Sensitivity analysis asks how much the recommended choice would shift if a probability, cost or payoff were higher or lower than assumed. It reveals which assumptions the decision truly depends on, so managers know where to focus verification. In Simon's process it corresponds to testing the solution before full commitment. When appraising a long-gestation irrigation project, varying the assumed yield gain shows whether the project stays viable under pessimistic conditions.
046learntVariance and Standard DeviationAdvancedMeasures of how widely possible outcomes are spread around the expected value, indicating riskiness.
Variance and Standard Deviation
Variance and its square root, the standard deviation, capture the dispersion of outcomes around the expected value, so a larger figure means more volatile results. Two alternatives can share the same expected value yet differ sharply in risk, which only the spread reveals. A manager may therefore compare options on both EV and standard deviation, choosing a slightly lower-EV, low-risk project when the organisation is risk-averse. This is central to matching a decision to the institution's risk tolerance.
047learntMaximin RuleIntermediateA pessimistic rule: for each alternative take its worst payoff, then choose the best of these worst cases.
Maximin Rule
The Maximin rule first identifies the minimum payoff of each alternative, its worst case, then selects the alternative whose worst case is the highest. It protects the decision maker against the worst that can happen, which suits very risk-averse or conservative choices. A subsistence farmer picking the crop that guarantees the highest minimum income, whatever the season, is applying Maximin. The rule ignores upside potential in favour of a secure floor.
048learntMaximax RuleIntermediateAn optimistic rule: for each alternative take its best payoff, then choose the largest of these best cases.
Maximax Rule
The Maximax rule looks at the maximum payoff each alternative could deliver and then selects the alternative with the highest such maximum. It reflects an optimistic, risk-seeking attitude that focuses on the most favourable outcome and disregards downside possibilities. An entrepreneur choosing a project purely for its highest possible profit, ignoring the chance of loss, is using Maximax. It is the mirror image of the cautious Maximin rule.
049learntLaplace (Equally Likely) RuleIntermediateA neutral rule assuming all states are equally likely, then choosing the highest average payoff.
Laplace (Equally Likely) Rule
When no probabilities are available, the Laplace rule assumes every state of nature is equally likely and computes the simple average payoff of each alternative. The alternative with the highest average is chosen, which reflects a neutral stance, neither optimistic nor pessimistic. It converts an uncertainty problem into a rough risk problem by imposing equal probabilities. This makes it appealing when the manager genuinely has no basis to favour one state over another.
050learntHurwicz CriterionAdvancedA mixed rule blending best and worst payoffs using a coefficient of optimism between zero and one.
Hurwicz Criterion
The Hurwicz criterion, also called the criterion of realism, recognises that a manager may be partly optimistic and partly pessimistic. For each alternative it computes a weighted average of the maximum and minimum payoffs, using alpha for the best case and one minus alpha for the worst. A higher alpha leans optimistic, a lower alpha leans pessimistic, and the alternative with the highest weighted value is chosen. It offers a tunable middle path between pure Maximax and pure Maximin.
051learntCoefficient of OptimismAdvancedThe weight, alpha, given to the best-case payoff in the Hurwicz criterion, ranging from zero to one.
Coefficient of Optimism
The coefficient of optimism, written as alpha, expresses how optimistic the decision maker is on a scale from zero to one. An alpha near one places most weight on the best possible outcome, while an alpha near zero shifts weight to the worst outcome. Choosing alpha is a judgment about temperament and context, and it directly changes which alternative the Hurwicz rule selects. A cautious development bank might set a low alpha for an untested rural technology.
052learntMinimax RegretAdvancedAn opportunity-loss rule that chooses the alternative with the smallest worst-case regret.
Minimax Regret
Minimax Regret first builds a regret table, where regret in each state is the best payoff possible minus the payoff of the alternative chosen. For each alternative it finds the maximum regret across states, then selects the alternative whose maximum regret is the smallest. It suits managers who most want to avoid the future disappointment of having missed a better option. Selecting the supply-chain option with the smallest maximum regret value is a direct application of this rule.
053learntScenario PlanningAdvancedDeveloping several plausible futures rather than a single forecast to prepare for alternatives.
Scenario Planning
Scenario planning builds multiple coherent stories of how the future might unfold instead of betting on one prediction. By exploring how different assumptions shape events, it prepares the organisation to act across a range of possibilities, which makes it valuable under ambiguity. A development finance institution might frame optimistic, moderate and drought scenarios before committing to a long-term rural credit strategy. The aim is resilience and readiness, not pinpoint accuracy.
054learntDelphi TechniqueAdvancedA structured, anonymous, multi-round expert consultation aimed at reaching consensus.
Delphi Technique
The Delphi technique gathers expert opinion through several rounds of questionnaires, feeding back a summary after each round so views can converge. Because experts respond remotely and anonymously, it curbs dominance by strong personalities and reduces peer pressure. It is well suited to ambiguous or long-horizon questions where hard data is absent and judgment must be pooled. NABARD might use a Delphi panel to forecast the adoption of a new rural technology across varied agro-climatic zones.
055learntSystems ThinkingAdvancedViewing a problem holistically by recognising interdependencies and feedback loops among its parts.
Systems Thinking
Systems thinking treats a problem as part of a larger web of connected elements rather than as an isolated issue. By tracing interdependencies and feedback loops, it helps managers anticipate side effects and avoid solving one problem while creating another. It is especially useful under ambiguity, where cause-and-effect links are poorly understood. Designing a rural credit scheme with systems thinking means weighing its effects on cropping choices, water use, indebtedness and market prices together.
056learntPilot Projects and ExperimentationIntermediateSmall-scale trials that allow learning through action before a full-scale commitment.
Pilot Projects and Experimentation
Instead of rolling out a decision fully, managers run a pilot or small experiment to learn what works while keeping the stakes low. This reduces the risk of large, irreversible commitments and generates real evidence to guide the wider decision. Piloting a new digital lending model in a few districts before a state-wide launch is a common example. Under uncertainty and ambiguity, experimentation replaces calculation as the main way to reduce doubt.
Decision-Making Approaches (Models)
057 to 073057learntRational (Economic Man) ModelIntermediateA structured model assuming full information and a logical decision maker who maximises utility.
Rational (Economic Man) Model
The rational model, also called the economic man model, moves step by step through defining the problem, setting and weighting criteria, generating and evaluating alternatives, choosing, implementing and reviewing. It assumes the problem is clear, all information and alternatives are known, consequences can be predicted, and the decision maker is unbiased and utility-maximising. This makes it ideal in theory for complex, high-stakes choices such as strategic planning and project selection where time allows full analysis. Its weakness is that perfect information and unlimited cognition rarely exist in real settings.
058learntBounded Rationality (Administrative) ModelIntermediateHerbert Simon's model that managers decide under limited information, time and mental capacity.
Bounded Rationality (Administrative) Model
Herbert Simon argued that people cannot be perfectly rational because information, time and processing power are all limited, so full optimisation is impossible for real problems. Managers therefore simplify: they ignore some options, use rough estimates, and stop once a choice is good enough rather than best. Organisational factors such as rules, hierarchy and culture further restrict the set of alternatives actually considered. This administrative model is realistic and practical, though it may miss better options that were never examined.
059learntSatisficingIntermediateChoosing the first option that is good enough against a minimum aspiration level, not the best.
Satisficing
Satisficing, Simon's coinage combining satisfy and suffice, means the decision maker sets a satisfactory standard and accepts the first alternative that meets it. Options are considered one after another, and the search stops as soon as one clears the bar, which saves time, information and effort. It follows directly from bounded rationality, since full optimisation would cost too much. A busy loan officer approving the first proposal that meets all norms, rather than ranking every applicant, is satisficing.
060learntHeuristicsIntermediateSimple mental rules or shortcuts used to reach decisions quickly without exhaustive analysis.
Heuristics
Heuristics are rules of thumb such as choose the familiar brand, follow the majority, or budget marketing at ten per cent of projected sales. They cut cognitive load and are valuable under time pressure, uncertainty or information overload. The trade-off is that they can produce systematic biases such as anchoring, availability and overconfidence. In Simon's framework heuristics are the practical tools that let satisficing decisions be reached with limited effort.
061learntBehavioural ModelIntermediateA human-centred model that folds emotions, values, politics and social pressures into decisions.
Behavioural Model
The behavioural model goes beyond the limits of reasoning to include non-economic and non-logical forces in how decisions are made. Emotions shape how problems are perceived, social pressures from group norms steer choices, organisational politics decide which options are acceptable, and personal values define what is right. Perception, attitudes, culture and interpersonal influence all colour the process, so decisions emerge within a social system, not a vacuum of pure logic. A manager valuing team cohesion who seeks wide input before deciding reflects this style.
062learntCarnegie ModelAdvancedCyert and March's view that organisational decisions emerge from bargaining among coalitions.
Carnegie Model
The Carnegie model, associated with Richard Cyert and James March, sees the organisation as a coalition of groups with different goals and limited information. Because objectives conflict and no one has full data, managers satisfice and reach decisions through negotiation and coalition-building rather than pure optimisation. It links bounded rationality to organisational politics and helped shape both the behavioural and political models. Designing a national scheme where departments trade support for their priorities illustrates the Carnegie process.
063learntNormative (Vroom-Yetton) ModelIntermediateA model that prescribes how much to involve the team based on the decision's characteristics.
Normative (Vroom-Yetton) Model
The Vroom-Yetton model helps a leader decide the right level of participation by answering yes or no questions about decision complexity, team expertise and the need for acceptance. Based on the answers, the leader picks an autocratic, consultative or group-based approach. Because it is normative, it tells leaders how they should decide rather than merely describing what they do. It is most useful for high-stakes or cross-functional decisions where buy-in is essential to successful implementation.
064learntVroom-Yetton Decision StylesAdvancedFive participation styles from purely autocratic to full group consensus, coded A1 to G2.
Vroom-Yetton Decision Styles
The model lays out five styles: A1 where the leader decides alone, A2 where the leader gathers information then decides alone, C1 consulting individuals, C2 consulting the group, and G2 reaching group consensus. The right style depends on how structured the problem is, how much acceptance is needed, and how complete the information is. When a problem is unstructured, staff acceptance is essential and the leader lacks full information, the model recommends G2. Matching style to situation is the model's core contribution.
065learntIntuitive ModelIntermediateA model relying on experience, instinct and pattern recognition rather than structured analysis.
Intuitive Model
The intuitive model has the decision maker sense the situation, draw on past experience, react quickly and act decisively without extensive data analysis. It suits fast-paced, high-pressure settings such as crisis management, where speed matters more than precision. It works best for seasoned professionals with deep knowledge of the specific context or industry. A procurement manager backing a vendor because long experience says they are reliable is using the intuitive model.
066learntRecognition-Primed ModelAdvancedAn experience-based model where the decision maker mentally simulates options and picks the first workable one.
Recognition-Primed Model
The recognition-primed model, more structured than pure intuition, has the decision maker identify possible solutions from available information, mentally run each scenario, and choose the one that plays out best. It leans heavily on experience and instinct, so it fits situations with little data, tight time and high trust in one's own judgment. Using it well demands imagination, since the manager must vividly picture each outcome. A senior fire officer choosing a tactic by recognising a familiar pattern typifies this model.
067learntPolitical ModelAdvancedA model treating organisations as arenas where groups bargain, negotiate and build coalitions.
Political Model
The political model rejects the idea of a single rational actor and sees the organisation as groups with conflicting interests, unequal power and controlled information. Decisions emerge from bargaining, negotiation, compromise and coalition-building, and often end in a compromise acceptable to powerful groups rather than the most efficient option. Change tends to be incremental, and coalitions are temporary, shifting as interests move. Designing a new credit guarantee scheme where banks, farmer groups, industry bodies and ministry officials negotiate a balanced compromise fits this model well.
068learntIncremental Model (Muddling Through)AdvancedCharles Lindblom's model of deciding through small, gradual adjustments to existing policy.
Incremental Model (Muddling Through)
Lindblom's incremental model, nicknamed muddling through, holds that managers rarely analyse all alternatives and instead make small changes to current practice. Decision-making is evolutionary, not revolutionary, because managers have limited information, face uncertain and shifting conditions, and know that agreement is easier on minor changes. Only alternatives that differ marginally from the status quo are considered, and the aim is a workable, acceptable option rather than the best one. Adjusting an existing subsidy scheme year by year, rather than redesigning it wholesale, is muddling through.
069learntMixed Scanning Model (Etzioni)AdvancedAmitai Etzioni's model combining broad rational scanning with detailed incremental decisions.
Mixed Scanning Model (Etzioni)
Etzioni proposed mixed scanning as a middle path between the comprehensive rational model and pure incrementalism. The manager first does a broad, low-detail scan of the whole field to set fundamental direction, then examines the selected area in fine detail before deciding. This blends the strategic reach of rationalism with the practicality of incrementalism, avoiding both paralysis and drift. A regulator setting a broad policy vision and then refining specific rules incrementally is using mixed scanning.
070learntGarbage-Can ModelAdvancedCohen, March and Olsen's model where problems, solutions, participants and choices combine almost randomly.
Garbage-Can Model
The garbage-can model explains decision-making in organised anarchies, where goals are unclear, processes are loose and participation shifts. It argues that four independent streams, problems, solutions, participants and choice opportunities, flow through the organisation and a decision occurs only when they happen to intersect. Strikingly, solutions often exist before problems, as people carry pet ideas looking for a problem to attach them to. In a committee whose discussion drifts across drones, startups and staffing until the right people, ideas and funding align, decisions arise almost by chance.
071learntOrganized AnarchyAdvancedAn organisation with unclear goals, poorly structured processes and fluid participation.
Organized Anarchy
An organised anarchy is the setting in which the garbage-can model operates, marked by three conditions. Its goals are ambiguous and may change or coexist without clear priority, its processes are loose and evolve by trial and error, and participation is unstable as people move in and out of decisions. Universities, research bodies and many public-sector and innovation-driven organisations show these traits. In such settings, timing and who happens to be present matter more than tidy rational analysis.
072learntRetrospective (Implicit Favourite) ModelAdvancedMintzberg's model where a manager picks a favourite early and then builds analysis to justify it.
Retrospective (Implicit Favourite) Model
The retrospective or implicit favourite model, drawn from Mintzberg's studies of real managers, holds that a preferred option is often chosen early on intuition and experience. Formal analysis then follows, not to compare options fairly but to justify and legitimise the choice already made. Managers selectively interpret data to reinforce their implicit favourite and present the decision as rational to superiors and stakeholders. It reflects the reality of time pressure and information overload, but it can quietly reduce objectivity.
073learntConflict Model (Janis and Mann)AdvancedJanis and Mann's model of how stress and conflict shape coping patterns in tough decisions.
Conflict Model (Janis and Mann)
The conflict model examines how decision makers cope with the stress of important choices, especially when risks are high and time is short. It describes coping patterns such as complacency, defensive avoidance, panic and, ideally, vigilance, where the manager searches and appraises carefully. Poor patterns arise when people feel there is no good option or no time, leading to procrastination or hasty commitment. Understanding these patterns helps design processes that keep a stressed committee in the vigilant mode.
Techniques of Decision-Making
074 to 097074learntNominal Group Technique (NGT)IntermediateA structured group method combining silent individual idea generation with systematic group ranking.
Nominal Group Technique (NGT)
The Nominal Group Technique, developed by Delbecq and Van de Ven, was designed to overcome the domination and groupthink of unstructured discussion. Members first write ideas silently, then share them round-robin without criticism, discuss only for clarification, and finally rank or vote privately, with the top-ranked idea selected. This blend of independent thinking and structured evaluation ensures equal participation and fairness. It is best used when conflict or domination is likely and when quality and fairness both matter.
075learntBrainstormingBasicA free-flowing group technique for generating many ideas in a non-judgmental setting.
Brainstorming
Popularised by Alex Osborn, brainstorming rests on four rules: no criticism during idea generation, quantity over quality, free expression of even unusual ideas, and combining or improving on others' ideas. Deferring judgment removes the fear of ridicule that normally suppresses creativity, so a large pool of ideas can form. A facilitator keeps the session disciplined, and promising ideas are evaluated only afterwards. It suits creative, unstructured problems and innovation, but is weak for routine or time-critical analytical decisions.
076learntReverse BrainstormingIntermediateA variant that asks how to cause or worsen a problem, then reverses the answers into solutions.
Reverse Brainstorming
Reverse brainstorming flips the usual question and asks how the team could create or intensify the problem instead of solving it. Listing all the ways to make something fail is often easier and more revealing than listing ways to succeed, and each failure mode points to a preventive solution when reversed. It is useful when a group is stuck or when a process keeps breaking down. Asking how to guarantee poor loan recovery, then reversing each cause, surfaces a practical recovery-improvement plan.
077learntSynecticsAdvancedA creativity technique using analogy and metaphor to make the familiar strange and the strange familiar.
Synectics
Developed by William Gordon, synectics stimulates innovation by joining together apparently unrelated elements through analogy and metaphor. Unlike brainstorming, which maximises the number of ideas, it seeks deep transformation of the problem by viewing it from unusual perspectives. It suits complex, novel problems and research and development work where conventional logic offers little guidance. It is less useful for routine, well-structured problems where standard procedures already work.
078learntSix Thinking HatsIntermediateEdward de Bono's method of examining a decision from six distinct thinking perspectives in turn.
Six Thinking Hats
Edward de Bono's Six Thinking Hats has a group deliberately switch between six modes: facts, emotions, caution, benefits, creativity and process control. By having everyone wear the same hat at the same time, it separates ego from argument and ensures a problem is seen from every angle. This structured parallel thinking reduces conflict and covers blind spots that a single perspective would miss. A committee appraising a new scheme can use it to force explicit attention to risks and to upside, not just to whichever view is loudest.
079learntDevil's AdvocacyIntermediateAppointing a member to challenge a proposal and expose its weaknesses before it is approved.
Devil's Advocacy
Devil's advocacy assigns one person or subgroup the explicit role of criticising the preferred plan, questioning assumptions and finding flaws. Legitimising dissent in this way counters groupthink and the bandwagon effect, since disagreement becomes a duty rather than disloyalty. The critique forces the group to defend or improve the proposal before committing. A board approving a large acquisition can task a member to argue against it, testing the case before funds are pledged.
080learntDialectical InquiryAdvancedStructuring a decision as a debate between a proposal and a well-argued counter-proposal.
Dialectical Inquiry
Dialectical inquiry develops a plan and a deliberately opposed counter-plan, each built on different assumptions, and then debates them to reach a stronger synthesis. Where devil's advocacy only attacks one plan, this method pits two complete positions against each other, surfacing the assumptions behind each. The structured clash improves the quality of the final decision and guards against premature consensus. Policy teams use it to test a scheme against a credible alternative design rather than against nothing.
081learntForce-Field AnalysisIntermediateKurt Lewin's tool mapping driving forces for change against restraining forces resisting it.
Force-Field Analysis
Force-field analysis, from Kurt Lewin, lists the forces pushing for a proposed change against the forces resisting it, so a decision maker can see the balance clearly. Change becomes easier by strengthening driving forces, weakening restraining forces, or both, rather than by pushing harder against resistance. It turns a vague sense of difficulty into a concrete map for action. Before introducing digital record-keeping in cooperatives, a manager can weigh efficiency gains against staff resistance and training gaps.
082learntSWOT AnalysisBasicA framework assessing internal Strengths and Weaknesses against external Opportunities and Threats.
SWOT Analysis
SWOT analysis organises a decision by mapping internal strengths and weaknesses alongside external opportunities and threats. It gives a quick, structured snapshot of an organisation's position before a strategic choice is made. Because it is simple, it is often the first step in planning, later refined by deeper tools. A regional rural bank weighing expansion might list its local network as a strength, thin capital as a weakness, rising rural demand as an opportunity, and fintech competition as a threat.
083learntPESTLE AnalysisAdvancedA scan of Political, Economic, Social, Technological, Legal and Environmental external factors.
PESTLE Analysis
PESTLE analysis structures the external environment into six forces: political, economic, social, technological, legal and environmental. It helps managers anticipate outside pressures that a purely internal review would miss, which is vital for strategic and long-horizon decisions. For rural finance it is especially relevant because monsoon, subsidy policy and climate risk sit squarely in its scope. Scanning these forces before launching a farm-credit product highlights risks such as policy change or erratic rainfall.
084learntDecision Matrix (Weighted Scoring)IntermediateA grid scoring each alternative against weighted criteria to produce a comparable total.
Decision Matrix (Weighted Scoring)
A decision matrix, also called grid or weighted scoring analysis, lists alternatives as rows and criteria as columns, assigns a weight to each criterion by importance, and scores every alternative on each. Multiplying scores by weights and summing gives a total that ranks the options on a common scale. It brings transparency and consistency to choices with several competing criteria. Selecting a technology vendor by scoring cost, reliability, service and compliance, each suitably weighted, is a direct use of this tool.
085learntFive WhysBasicA root-cause technique that asks why repeatedly until the underlying cause is reached.
Five Whys
The Five Whys technique probes a problem by asking why it happened, then asking why of each answer, usually about five times, until the root cause surfaces. Its power lies in pushing past the first, superficial explanation to the deeper condition that must actually be fixed. It is simple, needs no data, and pairs naturally with the Fishbone diagram. Repeatedly asking why a loan defaulted may move from missed instalment to crop loss to unsuitable crop advice, revealing the true fix.
086learntPareto Analysis (80-20 Rule)IntermediateA prioritising tool based on the idea that a small share of causes drives most of the effects.
Pareto Analysis (80-20 Rule)
Pareto analysis applies Vilfredo Pareto's observation, popularised by Joseph Juran as the vital few and the trivial many, that roughly eighty per cent of effects flow from twenty per cent of causes. Managers list problems, quantify each by frequency or cost, rank them in descending order, and focus effort on the critical few. This yields maximum improvement for minimum effort by directing attention to the highest-impact issues. A branch tackling the two or three complaint types that generate most grievances is using Pareto analysis.
087learntCause-and-Effect (Fishbone) DiagramIntermediateKaoru Ishikawa's diagram that organises the possible causes of a problem into logical groups.
Cause-and-Effect (Fishbone) Diagram
The cause-and-effect diagram, also called the fishbone or Ishikawa diagram, places the problem at the head and branches out possible causes like the bones of a fish. It rests on the idea that every problem has multiple interacting causes, and it pushes analysis toward root causes rather than symptoms. Causes are grouped under logical headings, most commonly the 6M framework, to give a full picture. A quality team diagnosing repeated processing errors maps them across people, machines, methods and materials to find the source.
088learnt6M FrameworkIntermediateThe six standard cause categories for a fishbone diagram: Man, Machine, Method, Material, Measurement, Environment.
6M Framework
The 6M framework gives the fishbone diagram its standard branches: Man for people and skills, Machine for equipment, Method for processes, Material for inputs, Measurement for data and calibration, and Environment for surrounding conditions. Grouping causes this way ensures the analysis is comprehensive and no major source is overlooked. Each branch prompts specific questions, such as whether staff were trained or whether inputs were of consistent quality. In a service failure review, the six categories systematically expose where the breakdown originated.
089learntLinear Programming (LP)AdvancedA quantitative technique for optimally allocating scarce resources among competing activities.
Linear Programming (LP)
Linear programming, developed by George Dantzig, optimises an objective such as maximum profit or minimum cost subject to a set of linear constraints on resources, time or capacity. It relies on precise mathematical relationships and assumes linearity, certainty, divisibility, additivity and non-negativity of variables. This makes it powerful for structured allocation problems where the numbers are known. A cooperative deciding how to split limited land, labour and capital across crops to maximise return is an LP problem.
090learntBreak-Even AnalysisIntermediateFinding the level of output or sales at which total revenue exactly equals total cost.
Break-Even Analysis
Break-even analysis, rooted in cost-volume-profit analysis, identifies the sales volume at which the firm makes neither profit nor loss because contribution just covers fixed costs. It separates fixed from variable costs and assumes constant selling price and cost per unit within a relevant range. Managers use it for pricing, profit planning, investment appraisal and assessing the margin of safety. A microenterprise can compute how many units it must sell each month to cover rent and other fixed costs before earning any profit.
091learntContribution MarginIntermediateSales revenue minus variable costs, the amount available to cover fixed costs and then profit.
Contribution Margin
Contribution margin is sales minus variable costs, and it measures how much each sale contributes first to covering fixed costs and, once they are met, to profit. It is the engine of break-even analysis, since the break-even point is reached when total contribution equals total fixed costs. A higher contribution per unit means fewer units are needed to break even. Knowing the contribution on each loan product helps a bank see which lines truly cover their overheads.
092learntCost-Benefit AnalysisIntermediateA technique comparing the economic costs and social benefits of a course of action.
Cost-Benefit Analysis
Cost-benefit analysis quantifies the costs and the benefits of a proposal, including social advantages, and compares them to judge whether it is worthwhile. By expressing outcomes in comparable terms, it supports rational choice among projects competing for limited funds. It is widely used in public investment appraisal, where social benefit matters as much as financial return. Evaluating a rural road or irrigation project by weighing its construction cost against income and welfare gains is a cost-benefit exercise.
093learntMarginal AnalysisAdvancedComparing the additional benefit and additional cost of one more unit of an activity.
Marginal Analysis
Marginal analysis examines the extra cost and extra benefit of producing or doing one more unit, and advises continuing only while marginal benefit exceeds marginal cost. It sharpens decisions about how much of an activity to undertake, not merely whether to undertake it. The optimal level is where the marginal benefit just equals the marginal cost. A bank deciding whether to open one more rural branch weighs the added revenue against the added running cost of that branch.
094learntGame TheoryAdvancedA technique that models rivalry as a game to find strategies that gain against competitors.
Game Theory
Game theory treats competition between firms as a game in which each player's best move depends on the moves of rivals. Managers use it to anticipate competitor responses and choose strategies that improve their position given those responses. It captures interdependence that single-actor tools ignore, which matters in oligopolistic or bidding situations. Banks setting deposit and lending rates while watching how competitors are likely to react are, in effect, playing a strategic game.
095learntQueuing Theory (Waiting Line)AdvancedA quantitative technique that analyses waiting lines to balance service cost against waiting cost.
Queuing Theory (Waiting Line)
Queuing theory, also called the waiting line method, studies how arrivals and service rates create queues, so managers can decide on the right level of service capacity. The goal is to balance the cost of extra service counters against the cost and dissatisfaction of customers waiting. It is widely applied wherever demand is irregular and service takes time. A bank deciding how many teller windows or how many ATMs to run at a busy branch is solving a queuing problem.
096learntSimulationAdvancedBuilding a model of a real system to test how decisions play out before acting in reality.
Simulation
Simulation constructs a model that imitates a real process, then runs it under varied inputs to observe likely outcomes without risking the actual system. It is valuable when a problem is too complex or too costly to solve by direct formula or by live experiment. By replaying many scenarios, managers see the range of results and the effect of their choices. Stress-testing a loan portfolio against simulated rainfall, price and default patterns helps a bank judge its resilience.
097learntNetwork Techniques (PERT and CPM)AdvancedProject techniques that map activities and timings to find the critical path and manage schedules.
Network Techniques (PERT and CPM)
Network techniques such as PERT, the Programme Evaluation and Review Technique, and CPM, the Critical Path Method, model a project as a network of activities with durations and dependencies. They identify the critical path, the longest sequence that sets the minimum project duration, so managers know where delay cannot be tolerated. PERT handles uncertain activity times with estimates, while CPM assumes more certain durations. Scheduling the construction of a warehouse or a watershed project relies on these tools to keep timelines and resources under control.
Biases in Decision-Making
098 to 126098learntCognitive BiasIntermediateA systematic error in judgment arising from mental shortcuts used to process information.
Cognitive Bias
Cognitive biases are patterned errors that occur because managers cannot analyse all information and instead rely on heuristics. They flow directly from Simon's bounded rationality, since limited information, limited cognition and time pressure force shortcuts. Kahneman and Tversky showed that people lean on fast, intuitive System 1 thinking rather than slow, analytical System 2 thinking, which is where many biases enter. While some shortcuts help managers cope, others distort perception, memory and risk assessment, leading to poor choices.
099learntAnchoring BiasBasicRelying too heavily on the first piece of information and failing to adjust for new facts.
Anchoring Bias
Anchoring bias occurs when an initial reference point, the anchor, dominates later judgment even when it is irrelevant or outdated. Once the anchor is set, it unconsciously pulls all subsequent estimates toward it. A loan officer who fixes a farmer's credit limit close to last year's sanctioned amount, despite a large rise in the farmer's income and land, is anchoring. In salary talks too, the first figure quoted tends to frame the entire negotiation.
100learntAvailability BiasBasicJudging the likelihood of an event by how easily examples come to mind rather than by data.
Availability Bias
Availability bias leads people to overweight events that are recent, vivid or frequently discussed, mistaking ease of recall for actual frequency. Decisions then rest on memory and emotional impact instead of statistical reality. After a few widely reported agri-loan defaults, a manager may brand a whole district high-risk and curb lending, though the data says otherwise. A safety officer imposing weekly drills after one dramatic accident elsewhere shows the same distortion.
101learntConfirmation BiasBasicSeeking and favouring information that confirms existing beliefs while discounting contrary evidence.
Confirmation Bias
Confirmation bias is the tendency to search for, interpret and remember information that supports what one already believes, while ignoring or explaining away anything that contradicts it. It blocks objective evaluation and narrows openness to alternative views. A project head who highlights reports praising a rural livelihood scheme while sidelining independent evaluations of its shortcomings is confirming a prior belief. It underlies the retrospective model, where analysis is marshalled to justify a favourite already chosen.
102learntRepresentativeness BiasAdvancedJudging by stereotypes or surface similarity to a pattern rather than by actual probability.
Representativeness Bias
Representativeness bias makes people assess a situation by how closely it resembles a familiar type, ignoring base rates and real evidence. This produces confident but often wrong conclusions. Because one Farmer Producer Organisation performed well in a district, a manager may assume every FPO in the state will do the same, without further analysis. Assuming a candidate from a reputed institute must outperform others, without checking actual skills, is the same error.
103learntOverconfidence BiasIntermediateOverestimating one's own knowledge, ability or control over outcomes.
Overconfidence Bias
Overconfidence bias leads managers to believe they are better forecasters or decision makers than the evidence supports, which encourages excessive risk-taking and underestimation of uncertainty. It is especially strong after a run of past success. A senior manager who sets aggressive recovery targets, sure of superior forecasting despite missing targets for years, is overconfident. A financial advisor promising very high returns while ignoring three wrong forecasts shows the same pattern.
104learntOptimism BiasIntermediateThe tendency to expect better outcomes for oneself than the evidence or base rates justify.
Optimism Bias
Optimism bias makes people believe they are less likely to face negative events and more likely to enjoy positive ones than average. It fuels underestimation of costs, risks and timelines in projects. Closely tied to the planning fallacy, it leads teams to promise delivery dates they rarely meet. A promoter who assumes a new venture will surely succeed because past ventures did, discounting sector risks, is showing optimism bias.
105learntLoss AversionIntermediateFeeling the pain of a loss more strongly than the pleasure of an equivalent gain.
Loss Aversion
Loss aversion, central to prospect theory, means losses loom larger than equal gains, so people work harder to avoid losing than to win. This can push managers into irrational choices to dodge a loss. A manager may reject a profitable but risky project purely from fear of a possible loss, even when expected returns clearly outweigh the risk. The same instinct drives reluctance to sell a falling asset and crystallise the loss.
106learntEscalation of CommitmentAdvancedContinuing to invest in a failing course of action because of prior commitments.
Escalation of Commitment
Escalation of commitment occurs when decision makers pour more time, money or reputation into a losing option rather than admit failure. It is closely tied to the sunk cost fallacy and to the ego cost of reversing course publicly. A development bank continuing to fund a non-viable irrigation project because large sums are already spent is escalating. Admitting the project should stop feels like conceding earlier error, so commitment deepens instead.
107learntSunk Cost FallacyIntermediatePersisting with a decision because of unrecoverable past investment rather than future value.
Sunk Cost Fallacy
A sunk cost is money, time or effort already spent that cannot be recovered whatever happens next. The fallacy is to let those past costs, rather than future prospects, drive the decision to continue. Managers confuse the question of what to do from today with the question of what has already been spent, and so cling to failing options. The bias is strongest in long-term public projects, where large outlays and public accountability make abandonment feel like waste.
108learntHalo EffectBasicLetting one positive trait shape an overly favourable overall judgment of a person or idea.
Halo Effect
The halo effect occurs when a single good quality creates a blanket positive impression that colours judgment of unrelated areas. It distorts appraisal because the evidence for one strength is treated as evidence for all. Assuming an employee is competent in every task simply because they are confident and articulate is the halo effect at work. It can bias interviews, performance reviews and proposal evaluations alike.
109learntHorn EffectBasicLetting one negative trait produce an unfairly unfavourable overall judgment.
Horn Effect
The horn effect is the mirror image of the halo effect, where a single negative trait or past mistake taints the whole assessment of a person or idea. It causes managers to dismiss sound proposals or capable people on the strength of one flaw. Rejecting an employee's otherwise strong proposal because of one past error is the horn effect. Like the halo effect, it substitutes a single impression for a proper, evidence-based evaluation.
110learntStereotypingBasicJudging individuals by group characteristics such as age or background rather than personal merit.
Stereotyping
Stereotyping applies a generalised belief about a group to an individual, ignoring that person's actual qualities. It undermines fairness and rational judgment by replacing evidence with assumption. Presuming older employees resist technology, or that younger ones lack responsibility, without any factual basis, is stereotyping. It is closely linked to representativeness bias, since both judge by resemblance to a type rather than by facts.
111learntGroupthinkIntermediateSuppressing dissent to preserve group harmony, sacrificing critical evaluation of alternatives.
Groupthink
Groupthink occurs when the desire for consensus and unity overrides realistic appraisal, so members withhold doubts to avoid disturbing the group. The result is poor decisions taken with false confidence. A committee unanimously approving a proposal without critical discussion, because no one wishes to challenge senior officials or spoil harmony, has fallen into groupthink. Techniques such as devil's advocacy and the Nominal Group Technique are used to break it.
112learntBandwagon EffectBasicAdopting the majority view without independent evaluation, mistaking popularity for correctness.
Bandwagon Effect
The bandwagon effect is the tendency to go along with an opinion simply because most others hold it. Popularity is treated as proof, so independent judgment is set aside. Supporting a proposal only because most team members already support it, without examining its merits, is the bandwagon effect. It reinforces groupthink and can spread a flawed idea quickly through a team.
113learntAuthority BiasBasicPlacing excessive trust in the opinion of a superior or expert, even when it may be flawed.
Authority Bias
Authority bias is the tendency to accept a senior person's or expert's view uncritically, deferring judgment to their status rather than to the evidence. It discourages questioning and can let a poor decision pass unchallenged. Accepting a senior manager's decision without scrutiny, even when data points to a better option, reflects authority bias. It compounds groupthink, since juniors stay silent before authority.
114learntFraming BiasAdvancedBeing swayed by how information is presented rather than by the underlying facts.
Framing Bias
Framing bias arises because the same facts, described in different ways, can trigger different decisions. Positive and negative frames of identical information pull choices in opposite directions. People prefer a treatment described as having a ninety per cent survival rate over one with a ten per cent mortality rate, though the two are identical. A subsidy scheme framed as benefiting seventy per cent of farmers wins more support than the same scheme framed as excluding thirty per cent.
115learntStatus Quo BiasIntermediatePreferring existing conditions and resisting change even when better alternatives exist.
Status Quo Bias
Status quo bias is a preference for keeping things as they are, treating change as risky and the current state as safe. It can trap organisations in outdated systems long after better options appear. A firm delaying adoption of new technology because existing systems are familiar, despite clear efficiency losses, shows status quo bias. It reinforces incrementalism and can be countered by force-field analysis that makes the cost of inaction visible.
116learntHindsight BiasIntermediateBelieving after an event that one had predicted or expected the outcome all along.
Hindsight Bias
Hindsight bias is the tendency, once an outcome is known, to reconstruct memory so it seems the result was obvious and foreseen. It creates a false sense of predictability and inflates confidence in past judgment. After a scheme fails, an officer may claim to have known it would not work from the start, though no such concern was voiced earlier. This distortion also feeds overconfidence in future forecasts.
117learntOutcome BiasIntermediateJudging the quality of a decision by its result rather than by the soundness of the process.
Outcome Bias
Outcome bias evaluates a decision purely on how it turned out, ignoring whether the reasoning was logical given what was known at the time. This can unfairly punish good decisions that met bad luck and reward reckless ones that happened to succeed. A manager who rates a decision solely on its final result, disregarding the quality of the process, shows outcome bias. Sound governance judges the process, since even a well-made decision can fail due to chance.
118learntRecency BiasIntermediateGiving disproportionate weight to the most recent events or information.
Recency Bias
Recency bias makes the latest information loom largest, crowding out older but equally relevant evidence. It distorts judgment by treating a short recent stretch as representative of the whole. An investor extrapolating the last quarter's returns into the future, or a manager judging staff mainly on their most recent task, shows recency bias. It overlaps with availability bias, since recent events are also the easiest to recall.
119learntSelf-Serving BiasIntermediateCrediting success to oneself while blaming failure on external factors.
Self-Serving Bias
Self-serving bias leads people to attribute good outcomes to their own ability and bad outcomes to circumstances beyond their control. It protects self-esteem but blocks honest learning from mistakes. A manager claiming a scheme's success as personal achievement but blaming its failure on the weather or the market is showing self-serving bias. Over time it prevents the feedback loop from improving future decisions.
120learntGambler's FallacyIntermediateBelieving that past independent outcomes change the probability of future independent outcomes.
Gambler's Fallacy
The gambler's fallacy is the mistaken belief that a run of one outcome makes the opposite outcome due, even when events are statistically independent. Each independent event carries the same probability regardless of history, so the reasoning is flawed. A lender assuming that after several good repayment years a default is now overdue, or vice versa, commits this fallacy. It confuses independent events with self-correcting ones.
121learntIllusion of ControlAdvancedOverestimating one's ability to influence outcomes that are largely due to chance.
Illusion of Control
The illusion of control makes people believe they can shape outcomes that are actually driven by luck or external forces. It encourages overtrading, over-planning and excessive risk-taking based on a false sense of mastery. A manager convinced that active intervention can steer volatile market outcomes may take on risk that no skill can control. It is a close cousin of overconfidence and often appears together with it.
122learntPlanning FallacyIntermediateUnderestimating the time, cost and risk of a task despite knowing that similar tasks overran.
Planning Fallacy
The planning fallacy is the tendency to predict that a task will be finished faster and cheaper than experience with similar tasks would suggest. It stems from optimism bias and from focusing on the specific plan rather than on the track record of comparable projects. Public infrastructure projects that routinely overshoot their timelines and budgets illustrate it well. The remedy is to anchor estimates on how long past similar projects actually took.
123learntNegativity BiasIntermediateGiving greater weight to negative information than to equally strong positive information.
Negativity Bias
Negativity bias means bad news, threats and losses register more strongly and stick longer than comparable good news. It can make managers overly cautious, dwelling on one complaint while overlooking many satisfied customers. A single negative field report may outweigh several positive ones in shaping a manager's view of a scheme. Awareness of the bias helps balance evaluation so that the picture is not skewed by the loudest bad signal.
124learntDunning-Kruger EffectAdvancedThe tendency of low-skill individuals to overestimate their competence in a domain.
Dunning-Kruger Effect
The Dunning-Kruger effect describes how people with limited knowledge in an area often lack the very skill needed to see their own gaps, so they overrate their competence. Genuine experts, by contrast, are more aware of the limits of their knowledge. This can lead the least informed to be the most confident in a discussion. In a technical decision, the person most sure of an answer is not always the most qualified, which is why structured review matters.
125learntSystem 1 and System 2 ThinkingAdvancedKahneman's two modes: fast, intuitive System 1 and slow, deliberate System 2 reasoning.
System 1 and System 2 Thinking
Daniel Kahneman distinguished System 1, which is fast, automatic and intuitive, from System 2, which is slow, effortful and analytical. System 1 handles most routine judgments efficiently but is prone to biases, while System 2 can check and correct it when engaged. Many decision errors arise when System 1 answers a hard question that really needed System 2. Deliberately slowing down for high-stakes appraisals is a way of switching from System 1 to System 2.
126learntProspect TheoryAdvancedKahneman and Tversky's theory that people value gains and losses relative to a reference point.
Prospect Theory
Prospect theory explains how people actually choose under risk, judging outcomes as gains or losses from a reference point rather than in absolute terms. Losses hurt more than equal gains please, which gives rise to loss aversion, and people tend to be risk-averse for gains but risk-seeking to avoid losses. It also shows that how a choice is framed changes the decision. This theory underpins loss aversion, framing and much of behavioural finance relevant to lending and insurance.
Styles of Decision-Making
127 to 137127learntDirective StyleIntermediateA low-ambiguity, task-focused style favouring quick, structured decisions with little data.
Directive Style
In Alan Rowe's decision-style model, the directive style combines a low tolerance for ambiguity with a task and technical orientation. Such decision makers act quickly, prefer clear structure, use limited information and focus on the short term. The strength is speed and decisiveness; the weakness is that important nuances may be missed. A supervisor who resolves a shop-floor issue fast, by the rulebook, without lengthy consultation, is using a directive style.
128learntAnalytical StyleIntermediateA high-ambiguity-tolerant, task-focused style that gathers ample data before deciding carefully.
Analytical Style
The analytical style, in Rowe's model, pairs a high tolerance for ambiguity with a task orientation, so the decision maker seeks more information and considers more options than a directive one. These managers enjoy problem-solving, examine data closely and adapt well to new situations, though they can be slow. The strength is thoroughness; the risk is over-analysis. A credit analyst who studies extensive financials and scenarios before recommending a large loan reflects this style.
129learntConceptual StyleAdvancedA high-ambiguity-tolerant, people-focused style that takes a broad, creative, long-term view.
Conceptual Style
The conceptual style combines a high tolerance for ambiguity with a people and social orientation, favouring big-picture thinking and creative, long-range solutions. Such managers consider many options, value diverse input and are comfortable with uncertainty. The strength is vision and innovation; the weakness is that decisions can become idealistic or unfocused. A strategist mapping several possible futures for rural finance, drawing on wide consultation, is working in a conceptual style.
130learntBehavioral StyleIntermediateA low-ambiguity, people-focused style prioritising relationships, harmony and consensus.
Behavioral Style
The behavioral style, in Rowe's framework, pairs a low tolerance for ambiguity with a strong people orientation, so the decision maker prizes cooperation, communication and team harmony. These managers seek acceptance, avoid conflict and rely on feelings and the views of others. The strength is buy-in and morale; the weakness is difficulty taking tough, unpopular decisions. A leader who canvasses the whole team and seeks consensus before acting shows a behavioral style.
131learntDecisive StyleBasicA fast, confident style relying on the manager's own judgment for quick, practical decisions.
Decisive Style
The decisive style is marked by speed, clarity and confidence, with the manager leaning on personal judgment, experience and authority to decide rapidly. It favours clear alternatives, practicality and short-term results, which makes it valuable in emergencies and operational crises. Its limits are that little consultation may lower quality and that alternative perspectives can be overlooked. A manager who settles an urgent operational issue quickly and takes responsibility for it is being decisive.
132learntFlexible StyleBasicAn adaptable, open style that listens to others but keeps the freedom to revise its stance.
Flexible Style
The flexible style stresses adaptability and openness, so the manager actively seeks opinions before deciding yet stays ready to change course as new information appears. It is responsive to environmental change and suits dynamic, fast-moving settings. The trade-off is that decisions may come slower and, if overused, may look inconsistent. A manager who adjusts a rollout plan as fresh field feedback arrives is applying a flexible style.
133learntHierarchic StyleIntermediateA systematic, analytical style that follows rules and evaluates alternatives in careful detail.
Hierarchic Style
The hierarchic style is structured and analytical, with the manager preferring established rules, procedures and authority, and deciding only after detailed evaluation. It values order, predictability and formal process, aligning closely with bureaucratic and rational decision-making. The strength is consistency and accuracy; the weakness is slow decisions and limited flexibility under uncertainty. A compliance head who evaluates every option meticulously against policy before deciding reflects this style.
134learntIntegrative StyleAdvancedA creative, holistic style that synthesises diverse ideas into innovative, non-traditional solutions.
Integrative Style
The integrative style reflects creative, out-of-the-box thinking that weaves together many ideas and perspectives to reach innovative solutions. It is common in strategic leadership, innovation management and complex problem-solving, and it emphasises collaboration and synthesis. The strength is originality and breadth; the weakness is that it may lack structure and is hard to apply to routine work. A leader blending inputs from several departments into a novel scheme design is using an integrative style.
135learntPsychological StyleIntermediateA values-driven style where decisions flow from personal needs, ethics, emotions and principles.
Psychological Style
The psychological style highlights the role of the decision maker's own needs, values, principles and emotions in shaping choices. Decisions here are subjective and vary widely between individuals even in identical situations, because personality and ethical orientation dominate. The strength is strong ethical grounding; the risk is inconsistency and personal bias. An officer who lets deeply held values guide a difficult call is deciding in the psychological style.
136learntCognitive StyleIntermediateAn information-processing style focused on logic, mental models and structured reasoning.
Cognitive Style
The cognitive style centres on how individuals process information, interpret data and apply reasoning, drawing on mental models, logic and perception. It reflects bounded rationality, since choices are shaped by cognitive limits and organisational constraints. The strength is disciplined, analytical reasoning; the weakness is that it can undervalue emotion and human factors. A manager who methodically structures data and reasons step by step through a structured decision shows a cognitive style.
137learntNormative StyleIntermediateA prescriptive style focused on how decisions should ideally be made using optimal procedures.
Normative Style
The normative style prescribes how decisions ought to be made rather than describing how they actually are, and it is rooted in classical management and rational decision theory. It stresses rule-based, prescriptive procedures and rationality, and is used in formal organisational contexts. It is associated with Victor Vroom's normative model, which guides the choice of participation level by situation. Following a formal decision protocol to reach the ideal choice reflects this style.
Leadership Styles and Decision-Making
138 to 150138learntAutocratic (Authoritarian) LeadershipBasicCentralised leadership where the leader decides alone with little or no input from subordinates.
Autocratic (Authoritarian) Leadership
Autocratic leadership concentrates authority in the leader, who identifies the problem, evaluates options and decides unilaterally, expecting subordinates to implement without question. Decision-making is centralised and directive, which makes it fast and effective in crises or where staff lack experience. The cost is that decisions may lack creativity and acceptance, breeding resistance and low morale. A commander issuing orders during an emergency exemplifies the autocratic approach.
139learntDemocratic (Participative) LeadershipBasicLeadership that consults subordinates and shares decision-making while retaining final authority.
Democratic (Participative) Leadership
Democratic or participative leadership invites subordinates to contribute ideas before decisions are finalised, though the leader keeps the final say. Decision-making is consultative, which produces more informed, balanced choices and stronger commitment to implement them. It suits complex decisions needing diverse input and settings that value innovation and teamwork. The trade-off is slower decisions, and excessive consultation can delay time-sensitive action.
140learntLaissez-Faire LeadershipBasicA hands-off style with maximum delegation, letting skilled teams decide how to meet objectives.
Laissez-Faire Leadership
Laissez-faire leadership involves minimal interference, with the leader setting broad objectives and letting employees decide how to achieve them. Decision-making is decentralised and the leader acts as a facilitator rather than a decider. It works well when staff are highly skilled and self-motivated and the work is creative or research-oriented. The danger is that too little guidance can cause confusion, poor coordination and inconsistent decisions.
141learntBureaucratic LeadershipIntermediateRule-bound leadership where decisions follow established procedures and formal authority.
Bureaucratic Leadership
Bureaucratic leadership relies on rules, procedures and formal authority, with leaders strictly following policy and expecting the same of subordinates. Decision-making is rule-based and procedural, leaving little room for discretion or innovation. It suits routine, standardised tasks and situations where compliance and safety are critical, as in large hierarchical organisations. Its weakness is that rigid adherence to rules slows decisions and hampers response to change.
142learntTransformational LeadershipIntermediateVision-driven leadership that inspires and empowers people to pursue innovation and change.
Transformational Leadership
Transformational leaders motivate through a shared vision and sense of purpose, focusing on change, innovation and long-term growth. Decision-making is vision-driven and collaborative, empowering employees to contribute creative solutions aligned with organisational goals. It is effective when an organisation is changing and needs adaptability and long-term strategy. The risk is that short-term operational issues may be neglected, and it demands high trust and competence.
143learntTransactional LeadershipIntermediateExchange-based leadership using rewards and penalties to achieve defined performance goals.
Transactional Leadership
Transactional leadership rests on an exchange relationship, securing compliance through rewards and punishments tied to performance. Decision-making is structured and performance-oriented, guided by predefined goals, standards and metrics. It is effective where tasks are routine and measurable, standards are clear and stability is required. Its limitation is little scope for creativity or genuine employee participation.
144learntSituational LeadershipIntermediateHersey and Blanchard's approach where leaders adapt their style to followers' maturity and competence.
Situational Leadership
Situational leadership, proposed by Hersey and Blanchard, holds that no single style is best and that leaders should match their approach to the maturity and competence of their subordinates. Decision-making ranges from directive to participative, with the leader choosing how much authority to retain and how much to delegate. It suits dynamic environments and teams of mixed skill levels. Its demand is high diagnostic ability and flexibility from the leader.
145learntServant LeadershipAdvancedLeadership that prioritises serving and developing followers so they can perform at their best.
Servant Leadership
Servant leadership inverts the usual order by placing the growth and wellbeing of team members first, on the belief that supported people make better decisions and deliver more. The leader listens, empowers and removes obstacles rather than commanding. Decision-making becomes highly participative, with authority shared to build capacity and trust. It fits mission-driven and development organisations, though it can appear slow where firm direction is urgently needed.
146learntCharismatic LeadershipAdvancedLeadership built on personal charm and vision that inspires strong follower devotion.
Charismatic Leadership
Charismatic leadership draws on the leader's personal magnetism, confidence and compelling vision to win deep commitment from followers. Decisions gain quick acceptance because people trust and identify with the leader, which speeds implementation. The strength is powerful mobilisation during change or crisis; the risk is over-dependence on one person and weaker scrutiny of their choices. It overlaps with transformational leadership but rests more on the individual's persona than on systems.
147learntTannenbaum and Schmidt ContinuumAdvancedA continuum of leadership behaviour from boss-centred authority to subordinate-centred freedom.
Tannenbaum and Schmidt Continuum
Tannenbaum and Schmidt described leadership as a continuum rather than a set of fixed styles, running from highly boss-centred, where the leader simply announces decisions, to highly subordinate-centred, where the team is free to decide within limits. Between the extremes lie steps such as selling a decision, inviting questions, and consulting before deciding. The right point depends on forces in the leader, the subordinates and the situation. It provides a practical map for how much authority to retain or share.
148learntPath-Goal TheoryAdvancedRobert House's theory that leaders improve performance by clearing the path to followers' goals.
Path-Goal Theory
Path-goal theory, developed by Robert House, holds that a leader's job is to clarify the route to goals and remove obstacles so followers can succeed and stay motivated. It identifies styles such as directive, supportive, participative and achievement-oriented, to be chosen according to the task and the followers' needs. The leader's decision about which style to use depends on how structured the work is and how capable the team is. Selecting a supportive style for an anxious team on a difficult task is a path-goal choice.
149learntManagerial Grid (Blake and Mouton)AdvancedA grid plotting leadership on concern for people against concern for production.
Managerial Grid (Blake and Mouton)
The managerial grid of Blake and Mouton maps leadership on two axes, concern for people and concern for production, each scored from one to nine. It yields recognisable positions such as the team leader, high on both, and the impoverished manager, low on both. The framework helps a leader see how their decision behaviour balances task and human needs. A leader scoring high on both dimensions tends to build participative, committed decisions rather than either purely task-driven or purely comfort-driven ones.
150learntLikert's Four Systems of ManagementAdvancedRensis Likert's four management systems ranging from exploitative-authoritative to participative.
Likert's Four Systems of Management
Rensis Likert classified management into four systems: exploitative-authoritative, benevolent-authoritative, consultative, and participative-group. As the systems progress, decision-making shifts from tightly centralised at the top toward wide participation and shared responsibility. Likert argued that the participative system generally yields better communication, motivation and decision quality. Moving a bureaucratic office from a consultative toward a participative system deepens staff involvement in decisions.
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An organisation requires every employee to complete a fixed number of annual training hours to qualify for promotion, and the rule applies across all divisions. This is a:
A bank's loan system automatically rejects applications where the credit score is below a policy threshold, with no human judgment. This is a:
A bank prices a crop insurance product using twenty years of rainfall and yield data to estimate claim probabilities. This decision is taken under:
A directive says 'promote innovative and inclusive agricultural finance' but names no beneficiaries, instruments or success indicators. The dominant condition is:
A risk-averse farmer selects the cropping option with the highest minimum income, ignoring options with higher possible profits. Which rule is applied?
Banks, farmer groups, industry bodies and ministry officials negotiate a new credit guarantee scheme and reach a balanced compromise. Which model best explains this?
Choosing the first option that meets a minimum acceptable standard, rather than the single best option, is called:
A manager continues a failing project because stopping it would make previous spending look wasted. This reflects:
A subsidy described as 'benefiting 70 percent of farmers' wins more support than the same scheme described as 'excluding 30 percent of farmers.' Which bias explains this?
A structured group method has members write ideas silently, share them round-robin without criticism, and then privately rank them. This is the:
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