Shopper Decision-Making Models and Processes

Introduction

Shopper decision making refers to the cognitive, emotional, social, and behavioral processes through which individuals or households identify marketplace problems, seek and interpret information, compare alternatives, select and acquire products or services, use them, and respond after purchase. In retail management, the shopper is not merely a buyer at the point of sale. The shopper may be a need recognizer, information seeker, evaluator, purchaser, user, recommender, complainer, reviewer, or disposer—and these roles may be performed by different people.

Decision making is therefore best understood as a process rather than a single event. A consumer may plan a weekly grocery purchase rationally, choose a familiar brand habitually, select a premium product emotionally, and abandon a digital shopping cart because of an unexpected delivery charge. Retailers that understand these variations can design better assortments, communications, store layouts, interfaces, promotions, and post-purchase services.

Classical models often portray the shopper as a rational optimizer. Contemporary research shows that real decisions are shaped by limited time, incomplete information, cognitive capacity, habits, emotions, social influence, context, and systematic biases. This chapter integrates rational, bounded-rational, dual-process, habitual, heuristic, and behavioral-economics perspectives across the complete shopper decision process.

Learning Objectives

After studying this chapter, the learner should be able to:

1. Explain the stages of shopper decision making from need recognition to post-purchase behavior.
2. Distinguish rational-choice, bounded-rationality, dual-process, habitual, heuristic, and behavioral-economic models.
3. Evaluate how involvement, perceived risk, time pressure, expertise, and context affect decisions.
4. Apply decision-making models to physical and digital retail environments.
5. Diagnose ethical and managerial implications of influencing shopper decisions.
6. Design evidence-based interventions that improve both commercial performance and shopper welfare.

1. The Decision Process in Retail

A widely used process model includes six interconnected stages:

1. Need recognition: the shopper perceives a discrepancy between a current state and a desired or acceptable state.
2. Information search: the shopper retrieves internal memory and may seek external information.
3. Alternative evaluation: available options are compared using attributes, rules, feelings, or social cues.
4. Purchase or choice: the shopper selects a product, seller, channel, quantity, payment method, and timing.
5. Consumption and usage: the product is used, experienced, shared, stored, or sometimes not used.
6. Post-purchase response: the shopper evaluates the outcome, forms satisfaction or dissatisfaction, engages in complaint or advocacy, and updates future preferences.

The stages do not always occur in a neat sequence. A shopper may search before fully recognizing a need, evaluate alternatives while browsing, or revise a choice after encountering stock-outs, reviews, delivery fees, or sales staff. In low-involvement categories, several stages may be compressed into a few seconds. In high-involvement categories such as automobiles, financial services, or major appliances, the process may extend over weeks or months.

A useful conceptual representation is:

Need state → Search → Evaluation → Choice → Usage → Post-purchase learning

Feedback from usage and post-purchase evaluation modifies future needs, brand knowledge, expectations, and habits.

Important Influences on Process Length and Depth

2. Rational Choice and Utility-Based Models

The rational-choice model assumes that a shopper has relatively stable preferences, access to relevant information, the ability to compare alternatives, and the intention to select the option that maximizes expected value subject to constraints. In simplified form, a shopper chooses the alternative with the highest expected utility:

Here, U(i) is the utility associated with alternative i, and i* is the selected alternative. Utility may include functional performance, convenience, status, pleasure, service, and other benefits, less monetary and non-monetary costs.

Under uncertainty, expected utility can be represented as:

where EU(i) is the expected utility of option i, pⱼ is the perceived probability of outcome oⱼ, and U(i,oⱼ) is the utility of that option if the outcome occurs. The probabilities must sum to 1, and the model assumes that the shopper can identify relevant outcomes and assign meaningful subjective probabilities.

For example, a shopper choosing a refrigerator may assess purchase price, electricity consumption, capacity, reliability, warranty, appearance, and delivery. A rational analysis could calculate total cost of ownership:

where P is purchase price, E is expected energy cost, M is maintenance cost, D is delivery and installation cost, and R is residual value or rebates. All terms must be expressed in the same currency and for the same time horizon. The expression is useful when the shopper can estimate costs and values, but it does not capture all emotional, social, or cognitive influences.

Strengths and Limitations

The rational model is valuable for understanding deliberate comparison, price sensitivity, total-cost decisions, and professional procurement. It helps retailers provide transparent specifications, comparison tools, warranties, and cost calculators.

However, the model is often descriptively unrealistic. Shoppers may not know all alternatives, may lack time to compare them, may overweight salient attributes, and may prefer a satisfactory option rather than an optimal one. Preferences can also be constructed during the decision rather than existing beforehand.

3. Bounded Rationality and Satisficing

Herbert Simon’s concept of bounded rationality recognizes that decision makers operate under limits of information, time, attention, memory, computational ability, and foresight. Rather than maximizing utility across every possible option, shoppers often seek an option that meets an acceptable threshold. This is known as satisficing—choosing an alternative that is good enough according to minimum criteria.

A shopper buying a laptop may establish screening rules such as minimum memory, acceptable price, preferred operating system, and delivery within three days. Once an option satisfies these requirements and appears trustworthy, the shopper may stop searching. This behavior is not necessarily careless; it is an adaptive response to decision costs.

Bounded rationality explains several retail phenomena:

• shoppers rely on trusted brands when technical comparison is difficult;
• consumers use retailer reputations as quality signals;
• filters and recommendation systems reduce search effort;
• shoppers abandon searches when comparison becomes exhausting;
• product rankings and “best seller” labels substitute for detailed analysis.

For managers, the implication is not simply to provide more information. Excessive information can increase cognitive burden. Effective retail design organizes information hierarchically: essential facts first, detailed evidence second, and optional technical material third.

4. Dual-Process Models

Dual-process theories distinguish between two broad modes of thought. They are not two physically separate systems, but a useful analytical distinction.

• System 1 is rapid, associative, affective, automatic, and low-effort.
• System 2 is slower, deliberative, rule-based, analytical, and effortful.

A shopper may recognize a familiar cereal through packaging and place it in the basket using System 1. The same shopper may use System 2 to compare nutritional content, unit prices, and dietary suitability when purchasing a product for a child with allergies.

The two modes interact. A visually attractive package may generate an initial preference, after which analytical thought justifies or rejects it. Conversely, a shopper may begin with detailed comparison but use a simple cue such as retailer trust to resolve a close choice.

Retail environments can activate either mode. Bright displays, sensory cues, urgency messages, and familiar symbols encourage rapid processing. Specification tables, comparison charts, return policies, and independent reviews support deliberation. Ethical practice requires that persuasive cues do not conceal material information or exploit predictable vulnerabilities.

5. Habitual and Routine Decision Making

Habitual decision making occurs when behavior is repeated in a stable context with limited conscious deliberation. A shopper may repeatedly visit the same supermarket, buy the same detergent, use the same payment method, or reorder a previously purchased item. Habit reduces effort and provides predictability.

Habit strength is usually increased by:

• frequent repetition;
• stable environmental cues;
• satisfactory prior outcomes;
• low perceived risk;
• convenient access;
• automatic digital reordering or subscriptions.

Habit is not identical to brand loyalty. Loyalty may involve active preference, commitment, and resistance to alternatives; habit may simply reflect convenience or inertia. A retailer can retain a habitual shopper without creating genuine attachment, but the relationship may be vulnerable to disruption, price changes, stock-outs, or a competitor’s improved convenience.

To encourage beneficial habits, retailers can provide reliable availability, easy navigation, saved preferences, transparent subscriptions, and reminders that shoppers can control. To encourage switching, competitors may use trial, sampling, comparative value, improved visibility, or a reduction in perceived switching costs.

6. Heuristics and Choice Shortcuts

A heuristic is a rule of thumb that simplifies judgment. Heuristics can be efficient and accurate in appropriate environments, but they can also produce systematic error.

Common Retail Heuristics

Availability heuristic. Shoppers judge likelihood or importance by how easily examples come to mind. Recent advertising, vivid reviews, or a highly publicized product failure can influence perceived risk.

Representativeness heuristic. Shoppers infer category membership or quality from resemblance. Premium packaging may be interpreted as evidence of premium performance even when objective differences are small.

Affect heuristic. Positive or negative feelings toward a brand, spokesperson, store, or country of origin influence judgments of benefits and risks.

Recognition heuristic. When one option is recognized and another is not, the recognized option may be preferred, especially under time pressure.

Price–quality heuristic. A higher price may be used as a signal of quality when quality is difficult to evaluate. This inference can be useful in some categories but misleading in others.

Social-proof heuristic. Ratings, popularity badges, influencer recommendations, and “most purchased” labels signal what others appear to choose.

Scarcity heuristic. Limited availability or time-limited offers can increase perceived value and urgency. The signal is ethically acceptable only when scarcity is genuine and communicated accurately.

Heuristics should not be treated as irrational by definition. A trusted retailer cue may efficiently summarize accumulated experience. The managerial question is whether the cue is informative, transparent, and appropriate to the decision.

7. Behavioral Economics and Context Effects

Behavioral economics examines systematic deviations from idealized rationality and shows how context changes preferences and choices. Retail decisions are especially sensitive to framing, reference points, defaults, mental accounting, and loss aversion.

Reference Dependence and Loss Aversion

Shoppers evaluate outcomes relative to a reference point such as a previous price, expected delivery date, or familiar package size. A discount may appear attractive because the original price establishes a reference point. A price increase may feel more painful than an equivalent price decrease feels beneficial because losses are often psychologically weighted more heavily than gains.

This does not mean that all discounts create value. A promotion can encourage unnecessary purchasing, shift demand forward, or create disappointment when the reference price is misleading.

Mental Accounting

Consumers often divide money into mental categories: household necessities, entertainment, savings, or “special occasion” spending. The same monetary amount may be treated differently depending on its mental account. Retailers can design bundles or payment plans that make spending feel manageable, but they should disclose total costs and avoid obscuring affordability risks.

Framing Effects

Equivalent information can produce different responses when framed differently. “Save $20” and “pay $80 instead of $100” may be mathematically equivalent in a particular transaction, yet the reference frame influences attention and perceived value. Health, environmental, and safety information can also be framed in gain or loss terms. Responsible communication should remain factually equivalent and avoid exploiting misunderstanding.

Default Effects

A preselected delivery option, warranty, donation, subscription, or data-sharing choice can substantially affect behavior. Defaults are powerful because changing them requires attention and effort. A fair default should be easy to decline, clearly disclosed, and aligned with the shopper’s likely interests rather than merely maximizing retailer revenue.

Choice Architecture

Choice architecture is the design of the environment in which decisions occur. It includes assortment organization, shelf position, website navigation, search ranking, filters, labels, payment sequences, and return procedures. Choice architecture cannot eliminate choice, but it can make some actions easier, more salient, or more likely.

8. Need Recognition

Need recognition begins when a shopper perceives a gap between an actual state and a desired state. The trigger may be internal, such as hunger, fatigue, or product depletion, or external, such as advertising, a store display, a social recommendation, or a new product demonstration.

Need recognition is shaped by:

• changes in circumstances, such as moving house or becoming a parent;
• product failure or dissatisfaction;
• aspirational identity and lifestyle goals;
• social comparison;
• seasonal and cultural events;
• retailer-created visibility and stimulation.

Retailers should distinguish a genuine need from an induced desire. Marketing can legitimately inform shoppers about solutions, but it should not misrepresent deficiencies, create anxiety through deception, or target vulnerable consumers with inappropriate pressure.

A useful diagnostic is to ask: What problem is the shopper trying to solve? The answer may not be “buy a product.” It may be “save time,” “feel secure,” “fit in socially,” “reduce uncertainty,” or “reward myself.” Retail formats that understand the underlying job can compete through service and experience rather than product features alone.

9. Information Search

Information search can be internal or external. Internal search retrieves memories of brands, prices, prior experiences, and retailer knowledge. External search includes store visits, websites, search engines, reviews, social media, sales associates, comparison platforms, and friends.

Search intensity depends on expected benefits and costs. Benefits include reduced risk and improved choice quality. Costs include time, effort, travel, cognitive load, privacy exposure, and frustration. Search tends to increase with perceived importance, uncertainty, price, novelty, and product complexity.

Digital retail has made search more abundant but not necessarily more reliable. Shoppers may encounter sponsored rankings, fake reviews, inconsistent specifications, algorithmic personalization, and information overload. Retailers should provide accurate product data, meaningful filters, accessible comparison tools, clear seller identity, and review systems that detect manipulation.

The concept of a consideration set is important. Shoppers rarely evaluate every available product; they form a smaller set of options that seem acceptable and relevant. Entry into this set may depend on awareness, distribution, ratings, price visibility, brand familiarity, and search ranking.

10. Alternative Evaluation

Alternative evaluation involves selecting attributes, assigning importance, interpreting evidence, and applying a decision rule. Common rules include:

• Compensatory rule: weakness on one attribute can be offset by strength on another.
• Conjunctive rule: every important attribute must meet a minimum threshold.
• Disjunctive rule: the option qualifies if it performs exceptionally well on at least one important attribute.
• Lexicographic rule: the shopper chooses the option best on the most important attribute.
• Elimination-by-aspects: options failing a sequence of minimum requirements are eliminated.

Suppose a shopper scores three stores on price, convenience, and trust. A weighted compensatory model can be expressed as:

where Vᵢ is the overall value score for option i, wₖ is the importance weight for attribute k, and sᵢₖ is option i’s standardized score on that attribute. The weights should be non-negative and sum to 1 when interpreted as proportions. Scores must be placed on a comparable scale; adding raw dollars, minutes, and rating points without standardization would be invalid.

Worked Example

A shopper assigns weights of 0.40 to price, 0.35 to convenience, and 0.25 to trust. Scores are standardized from 1 to 10:

For Store A:

V_A = (0.40 × 8) + (0.35 × 6) + (0.25 × 7) = 3.20 + 2.10 + 1.75 = 7.05

For Store B:

V_B = (0.40 × 6) + (0.35 × 9) + (0.25 × 8) = 2.40 + 3.15 + 2.00 = 7.55

For Store C:

V_C = (0.40 × 7) + (0.35 × 7) + (0.25 × 9) = 2.80 + 2.45 + 2.25 = 7.50

Under this compensatory model, Store B ranks first. The result is conditional on the selected attributes, weights, and valid comparable scores. A shopper using a conjunctive rule—for example, requiring trust of at least 8—would eliminate Store A, while a shopper using a lexicographic price rule might choose Store A.

11. Purchase, Consumption, and Post-Purchase Behavior

Purchase includes more than product selection. It involves channel, location, timing, quantity, payment, delivery, and the decision to postpone or abandon. Situational factors such as queue length, stock availability, mobile payment reliability, salesperson behavior, and unexpected fees can alter the final decision.

The intention–behavior gap occurs when shoppers express an intention but fail to act. A consumer may intend to buy sustainable products but choose a cheaper alternative when confronted with price, convenience, or uncertainty. Retailers can reduce this gap by making desired behavior easy, visible, affordable, and trustworthy.

Consumption is the stage at which promised value is tested. Product performance, usability, packaging, instructions, service recovery, and social context influence the experience. Non-use is also important: products may be stored, forgotten, returned, gifted, or discarded.

Post-purchase evaluation compares perceived performance with expectations. A simple conceptual relationship is:

Perceived performance relative to expectations → satisfaction, neutrality, or dissatisfaction

Satisfaction is not determined solely by objective performance. Expectations, attribution, fairness perceptions, emotional response, and comparison with alternatives matter. A product that performs adequately may disappoint if expectations were inflated; an imperfect product may satisfy when expectations were modest and service recovery was excellent.

Post-purchase outcomes include repeat purchase, loyalty, switching, complaint, return, review, recommendation, and negative word of mouth. Cognitive dissonance may arise when a shopper doubts a choice, especially after an expensive or publicly visible purchase. Reassurance, clear onboarding, responsive service, and fair returns can reduce unnecessary anxiety without concealing genuine problems.

12. An Integrated Managerial Framework

No single model explains all shopper behavior. A practical framework asks five questions:

1. What is the decision mode? Deliberative, habitual, emotional, social, or mixed?
2. What constraints are operating? Time, money, knowledge, attention, availability, or channel limitations?
3. What cues are being used? Price, brand, reviews, packaging, defaults, social proof, or retailer trust?
4. What consequences follow? Functional value, emotional value, social meaning, risk, satisfaction, and future learning?
5. What intervention is appropriate? Information, simplification, reassurance, trial, availability, personalization, or service recovery?

This framework prevents the common mistake of treating every shopper as a fully informed rational calculator. It also prevents the opposite mistake of assuming that all behavior is irrational. Shoppers use different modes according to goals and circumstances.

13. Illustrative Case: FreshWay’s Omnichannel Grocery Decision

Background

FreshWay, a fictional mid-sized grocery retailer, operates physical stores and a mobile application. It has strong product availability but experiences high cart abandonment online and low conversion on private-label products. Research shows that shoppers often begin with a planned list but add products in response to promotions and recommendations.

Problem

The application displays more than 30 yogurt products on a single search page. Sponsored products appear first, unit prices are inconsistent in presentation, review information is sparse, and a delivery fee is shown late in checkout. Customers report both decision fatigue and surprise costs.

Analysis

The original design assumes extensive rational comparison. In practice, shoppers operate under bounded rationality and time pressure. They use recognition, price–quality assumptions, ratings, and retailer trust as heuristics. The late delivery fee creates a negative surprise and changes the reference point after product selection. The large assortment increases search costs without necessarily increasing perceived value.

The product team also identifies different decision modes. Routine shoppers want rapid replenishment and saved lists. Parents buying for dietary needs require detailed ingredients and allergen information. Exploratory shoppers respond to recommendations and seasonal displays.

Approach and Solution

FreshWay redesigns the category page using a layered architecture:

• a concise “best for” filter for dietary and usage needs;
• consistent unit-price display;
• transparent availability and delivery fees before basket building;
• a comparison function for selected products;
• verified and date-stamped reviews;
• a clearly marked private-label value option;
• saved baskets and one-click reordering for routine purchases;
• explanations when products are sponsored or ranked by popularity.

The retailer introduces a default filter of “available for your selected delivery window,” but allows immediate modification. It does not preselect a subscription or add-on warranty. Recommendations are tested for relevance rather than only margin.

Outcome

In the illustrative scenario, cart abandonment falls after fee transparency is introduced, while use of comparison tools is concentrated among high-involvement shoppers. Routine shoppers use saved baskets, and private-label trial increases when quality information and a low-risk satisfaction guarantee are provided. The retailer also discovers that excessive promotional urgency reduces trust among experienced shoppers.

Learning Points

1. More choice is not always better choice.
2. Different shoppers require different levels of information and control.
3. Transparency can improve both conversion and long-term trust.
4. Defaults and rankings are powerful forms of choice architecture and require governance.
5. Behavioral data should be interpreted with theory; a change in conversion alone does not explain why behavior changed.

14. Technology, Personalization, and AI

Artificial intelligence can support recommendation, search ranking, demand prediction, conversational assistance, dynamic content, and personalized promotions. These applications can reduce search costs and improve relevance. However, personalization also creates risks of manipulation, discrimination, privacy intrusion, opaque ranking, and unequal access to prices or offers.

Responsible AI-enabled retail should include:

• clear notice about personalization and sponsored placement;
• accurate and explainable product information;
• safeguards against discriminatory recommendations;
• human review for high-impact decisions;
• data minimization and appropriate consent;
• testing for misleading urgency or exploitative targeting;
• accessible alternatives for shoppers who decline personalization;
• audit trails for significant ranking and pricing decisions.

Technology should augment shopper agency, not make refusal difficult or hide commercially motivated influence. The relevant standard is not merely whether an intervention increases sales, but whether it supports informed, voluntary, and fair decision making.

15. Critical Limitations and Research Issues

Decision-making models simplify complex behavior. Several limitations deserve attention.

First, stated preferences may not predict actual behavior. Surveys can overstate ethical, health, or sustainability intentions because respondents answer abstract questions rather than facing real trade-offs.

Second, context matters. A heuristic that works in one environment may fail in another. Recognition may be useful for routine purchases but inadequate for safety-critical products.

Third, consumer heterogeneity is substantial. Age, culture, income, expertise, disability, household role, and digital access influence decision processes. Managers should avoid assuming that one customer journey represents the market.

Fourth, algorithms can reproduce historical bias. If past purchases reflect unequal access or discriminatory practices, automated recommendations may reinforce those patterns.

Fifth, commercial metrics can be misleading. Click-through rate, conversion, and average order value do not by themselves establish welfare, satisfaction, or durable loyalty. Retail research should combine behavioral data with experiments, interviews, usability testing, complaint analysis, and post-purchase outcomes.

Best Practices for Retail Managers

• Match information depth to involvement and risk.
• Reduce friction for legitimate goals without concealing material terms.
• Display total price, fees, quantity, and unit price clearly.
• Use social proof and scarcity claims only when accurate and verifiable.
• Design defaults that are easy to understand and reverse.
• Separate sponsored placement from organic relevance.
• Support both rapid routine shopping and deliberate comparison.
• Treat post-purchase service as part of the decision experience.
• Measure returns, complaints, repeat purchase, and trust—not only immediate conversion.
• Test interventions for unintended effects on vulnerable or less digitally skilled shoppers.

Chapter Summary

Shopper decision making is a multidimensional process extending from need recognition through search, evaluation, purchase, consumption, and post-purchase learning. Rational-choice models explain deliberate comparison and expected value, but bounded rationality shows why shoppers satisfice under limits of information, time, and attention. Dual-process theory distinguishes rapid, associative processing from slower analytical reasoning. Habitual behavior explains routine repetition, while heuristics provide efficient but potentially biased shortcuts. Behavioral economics demonstrates how reference points, loss aversion, mental accounting, framing, defaults, and choice architecture shape decisions.

For retail managers, the central lesson is that shoppers use different decision modes in different situations. Effective retail design reduces unnecessary effort, provides relevant evidence, makes costs transparent, and protects shopper autonomy. Technology and AI can improve relevance and convenience, but require governance concerning privacy, fairness, explainability, and manipulation. The strongest managerial approach combines behavioral insight with empirical testing and evaluates both commercial performance and long-term shopper welfare.

Key Terms

Need recognition: Perception of a gap between a current state and a desired state.

Information search: Retrieval or collection of information before or during a decision.

Consideration set: The smaller group of alternatives seriously evaluated by a shopper.

Utility: Perceived value or satisfaction associated with an option or outcome.

Expected utility: Utility weighted by the perceived probabilities of possible outcomes.

Bounded rationality: Decision making constrained by limited information, time, attention, and cognitive capacity.

Satisficing: Selecting an option that meets acceptable criteria rather than maximizing overall value.

System 1: Fast, associative, automatic, and low-effort processing.

System 2: Slow, deliberative, analytical, and effortful processing.

Habitual decision making: Repeated choice guided by stable cues and limited deliberation.

Heuristic: A simplifying rule used to make judgments or decisions.

Reference point: A benchmark against which an outcome or price is evaluated.

Loss aversion: The tendency for perceived losses to have greater psychological impact than equivalent gains.

Mental accounting: The categorization of money into psychologically separate accounts.

Default: An option applied automatically unless the shopper actively changes it.

Choice architecture: The design of the environment in which decisions are made.

Satisfaction: Post-purchase evaluation arising from perceived performance relative to expectations.

Cognitive dissonance: Psychological discomfort caused by conflict or doubt about a decision.

Intention–behavior gap: Difference between what shoppers say they intend to do and what they actually do.

Post-purchase learning: Updating of beliefs, preferences, and future behavior based on usage experience.

Review Questions

Short Answer Questions

1. What are the six major stages of the shopper decision process?
2. How does bounded rationality differ from the rational-choice model?
3. Distinguish System 1 from System 2 processing.
4. What is the difference between a habit and brand loyalty?
5. Define a default and explain why it influences shopper behavior.

Long Answer Questions

1. Critically evaluate the usefulness and limitations of expected utility in explaining retail decisions.
2. Explain how heuristics can be both efficient and misleading in physical and digital retail environments.
3. Discuss the role of reference points, framing, and loss aversion in retail pricing.
4. Compare compensatory and non-compensatory evaluation rules, using a retail example.
5. Explain how post-purchase behavior contributes to repeat purchase, complaint, review, and loyalty outcomes.

Analytical / Application Questions

1. A retailer has a very large online assortment but high cart abandonment. Use bounded rationality, choice overload, and choice architecture to diagnose the problem and propose an intervention plan.
2. Design a decision journey for a high-involvement product such as a laptop or automobile. Identify where rational analysis, heuristics, social influence, and post-purchase reassurance are likely to operate.
3. Evaluate the ethical risks of an AI recommendation system that ranks sponsored products above more relevant products. Propose governance principles and performance measures that protect shopper autonomy while preserving commercial value.

Multiple Choice Questions with Answers

Question 1

Which model assumes that shoppers choose the option with the highest expected utility when preferences and relevant information are sufficiently available?

A. Rational-choice model

B. Habitual decision model

C. Availability heuristic model

D. Choice-architecture model

Correct Answer: A. Rational-choice model

Question 2

A shopper selects the first laptop that meets minimum requirements for price, memory, and delivery time. This behavior best illustrates:

A. Loss aversion

B. Satisficing under bounded rationality

C. Compensatory maximization

D. Post-purchase dissonance

Correct Answer: B. Satisficing under bounded rationality

Question 3

Which processing mode is generally fast, associative, and low effort?

A. System 1

B. System 2

C. Conjunctive processing

D. Lexicographic processing

Correct Answer: A. System 1

Question 4

A shopper chooses a familiar brand because the alternative is unknown and time is limited. Which heuristic is most directly involved?

A. Recognition heuristic

B. Mental accounting

C. Conjunctive rule

D. Elimination-by-aspects

Correct Answer: A. Recognition heuristic

Question 5

In the weighted evaluation example, which store received the highest calculated value score?

A. Store A

B. Store B

C. Store C

D. All stores received the same score

Correct Answer: B. Store B

Question 6

Which evaluation rule requires an option to meet a minimum threshold on every important attribute?

A. Conjunctive rule

B. Disjunctive rule

C. Lexicographic rule

D. Affect heuristic

Correct Answer: A. Conjunctive rule

Question 7

A preselected subscription that shoppers must actively remove is an example of a:

A. Reference point

B. Default

C. Consideration set

D. Residual value

Correct Answer: B. Default

Question 8

The intention–behavior gap refers to the difference between:

A. Expected utility and actual utility

B. Product price and unit price

C. Stated intention and actual behavior

D. Internal and external search

Correct Answer: C. Stated intention and actual behavior

Question 9

Which practice best supports ethical digital choice architecture?

A. Hiding delivery fees until final payment

B. Making sponsored rankings indistinguishable from organic rankings

C. Making defaults transparent and easy to reverse

D. Using false scarcity messages

Correct Answer: C. Making defaults transparent and easy to reverse

Question 10

Post-purchase satisfaction is most directly influenced by the relationship between:

A. Perceived performance and expectations

B. Assortment size and store area

C. Search cost and advertising reach

D. Brand recognition and shelf height

Correct Answer: A. Perceived performance and expectations