Crisis-Driven Consumer Behaviour Mirrors Historical Patterns

Category: Innovation & Design · Effect: Strong effect · Year: 2020

Consumer responses to crises, such as panic buying and shifts in discretionary spending, exhibit predictable patterns that have been observed across multiple historical shock events.

Design Takeaway

Anticipate and design for predictable consumer behaviour shifts during crises, leveraging media insights to inform communication and product availability.

Why It Matters

Understanding these recurring consumer behaviours during times of uncertainty is crucial for businesses and designers. It allows for more effective product development, marketing strategies, and supply chain management, enabling a more resilient response to unforeseen global events.

Key Finding

Consumers react to major crises in predictable ways, often mirroring past behaviours like panic buying and changing spending habits, with media acting as a key influencer.

Key Findings

Research Evidence

Aim: How do consumer behaviours like panic buying, herd mentality, and changes in discretionary spending during the COVID-19 pandemic compare to those observed during previous global crises, and what role does media play in influencing these behaviours?

Method: Literature Review and Data Analysis

Procedure: The research involved a comprehensive review of existing literature on consumer behaviour during crises. This was supplemented by an analysis of consumer spending data (focusing on Australian and American markets) to examine spending volumes, timing, and distribution across different product categories. Media influence was assessed through web traffic analysis and keyword data mining.

Context: Global Crises and Consumer Behaviour

Design Principle

Design for resilience by understanding and anticipating human behaviour under stress.

How to Apply

When designing products or services that might be affected by global events, consider how historical crisis behaviours might manifest and how media narratives could influence adoption or demand.

Limitations

The research focused on the early stages of the COVID-19 pandemic, and longer-term behavioural changes may differ. The analysis of consumer spending data was largely concentrated on Australian and American markets.

Student Guide (IB Design Technology)

Simple Explanation: People tend to buy a lot of essentials and cut back on luxuries when something big and scary happens, just like they have in the past, and what they see in the news affects their choices.

Why This Matters: Understanding how people react to crises helps you design products and services that are useful, desirable, and accessible when people need them most.

Critical Thinking: To what extent might the unique nature of the COVID-19 pandemic (e.g., global interconnectedness, digital communication) have altered these historically observed consumer behaviours?

IA-Ready Paragraph: Research indicates that consumer behaviour during crises, such as panic buying and shifts in discretionary spending, follows predictable patterns observed across historical shock events, with media playing a significant role in influencing these responses. This suggests that designers should anticipate and plan for such behavioural shifts when developing products or services that may be impacted by societal uncertainties.

Project Tips

How to Use in IA

Examiner Tips

Independent Variable: ["Occurrence of a crisis event (e.g., pandemic, natural disaster)","Media coverage and messaging"]

Dependent Variable: ["Panic buying behaviour","Herd mentality adoption","Changes in discretionary spending (e.g., luxury vs. non-durable goods)"]

Controlled Variables: ["Economic conditions prior to the crisis","Cultural norms of consumer behaviour","Government responses and policies"]

Strengths

Critical Questions

Extended Essay Application

Source

Consumer Behaviour during Crises: Preliminary Research on How Coronavirus Has Manifested Consumer Panic Buying, Herd Mentality, Changing Discretionary Spending and the Role of the Media in Influencing Behaviour · Journal of risk and financial management · 2020 · 10.3390/jrfm13080166