Strengthening Critical Thinking as a Management Competency

Critical thinking has long been an important component of higher education. Business schools teach students to analyze information, evaluate alternatives, solve problems and make informed decisions.

These capabilities remain fundamental to management.

However, the environment in which managers apply them is changing.

Managers now have access to more information than previous generations. Business intelligence platforms, predictive analytics and artificial intelligence can generate reports, identify patterns and recommend actions within seconds.

Access to information has become easier. Evaluating its reliability and determining how it should influence a decision remain managerial responsibilities.

A manager may receive a detailed financial forecast, a recommendation to restructure a department or an AI-generated assessment of employee performance. The information may appear convincing, but its accuracy, assumptions and consequences still require examination.

This creates opportunities to enrich established management courses by placing greater emphasis on how students develop, explain and defend their decisions.

The objective is not simply to teach students to find answers. It is to help them recognize when an answer is incomplete, when assumptions require testing and when additional evidence is necessary.

Critical thinking should be developed as a practical management competency, not only as an academic skill.

1. Why Critical Thinking Matters in Modern Management

Management decisions are rarely made under ideal conditions.

Information may be incomplete. Financial and operational objectives may conflict. Stakeholders may interpret the same situation differently.

A manager responsible for improving departmental performance might receive several recommendations.

The finance department suggests reducing expenses. Human resources recommends additional employee training. Operations proposes redesigning processes. Technology specialists recommend automation.

Each recommendation may have merit.

The manager must determine which problems require attention, which assumptions are reasonable and which alternatives offer the most sustainable results.

This requires several related capabilities.

Analytical thinking helps managers examine information and identify relationships.

Critical thinking helps them question assumptions, evaluate evidence and recognize weaknesses in arguments.

Decision-making requires them to select and justify an appropriate course of action.

These capabilities overlap, but they are not identical.

A manager can perform sophisticated financial analysis while overlooking an important assumption. Similarly, someone may identify weaknesses in a proposal without developing a practical alternative.

Effective management requires both sound analysis and the ability to translate that analysis into action.

What employers are looking for

The World Economic Forum identified analytical thinking as the most frequently cited core workforce skill in its Future of Jobs Report 2025.

According to the report, 69% of surveyed employers considered analytical thinking a core skill.

Other highly valued capabilities included resilience, flexibility and agility (67%), leadership and social influence (61%), and creative thinking (57%).

The report also identified systems thinking and technological literacy as important workforce competencies.

These findings provide useful context for management educators.

Employers increasingly expect graduates to interpret information, adapt to changing circumstances and contribute to decisions involving technology, people and organizational performance.

The findings do not mean that management programmes lack these subjects. Rather, they reinforce the value of making analytical and critical-thinking capabilities visible within course objectives and assessments.

2. The Difference Between Knowing Management Theory and Applying Judgment

Management education provides students with a wide range of established models.

SWOT analysis, PESTLE, decision trees, cost-benefit analysis, risk assessment and stakeholder mapping can all support managerial decisions.

Understanding these models is valuable.

However, using a model does not automatically produce a sound decision.

Consider a student preparing a SWOT analysis for a company planning to enter a new market.

The student identifies strong financial resources as a strength, increasing competition as a threat and technological innovation as an opportunity.

The analysis may be technically correct.

Yet several important questions remain.

How reliable is the financial information?

Does the company possess the capabilities required to enter the market?

Are the identified opportunities commercially realistic?

What assumptions have been made about customers and competitors?

What evidence might challenge the proposed strategy?

The value of the analysis depends on the quality of the reasoning behind it.

This distinction can be incorporated into classroom assignments without changing the underlying management models.

Professors can ask students not only to complete an analytical framework but also to explain their assumptions, identify information gaps and describe circumstances under which their recommendations would change.

Such exercises encourage students to treat management models as decision-support tools rather than formulas that automatically generate correct answers.

3. Artificial Intelligence Makes Critical Thinking Even More Important

Artificial intelligence introduces a new dimension to management decision-making.

AI systems can summarize extensive documents, compare alternatives, generate forecasts and prepare recommendations.

These capabilities can improve efficiency and support analytical work.

However, AI-generated conclusions may contain inaccuracies, reflect limitations in their underlying information or overlook important organizational circumstances.

A manager who accepts a recommendation without evaluating it may transfer considerable influence to a system while retaining responsibility for the outcome.

Recent research illustrates why this deserves attention.

What research tells us about AI and critical thinking

In April 2025, researchers associated with Microsoft Research and Carnegie Mellon University published a study examining how knowledge workers use critical thinking when working with generative AI.

The researchers surveyed 319 knowledge workers and collected 936 examples of AI-assisted tasks.

They found that greater confidence in AI was associated with less reported critical-thinking effort, while greater confidence in one's own ability was associated with more critical-thinking activity.

The researchers also observed that AI use can shift critical-thinking activities toward verifying information, integrating responses and overseeing tasks.

Importantly, the study examined self-reported behaviour and associations. It did not establish that using AI necessarily causes a decline in critical-thinking ability.

This distinction matters for educators.

The objective should not be to discourage students from using technology.

Instead, students can learn to use AI as a source of information and alternative perspectives while retaining responsibility for evaluating the output.

A useful classroom application

A professor could provide students with an AI-generated business recommendation and ask them to assess its reliability.

Students would identify the assumptions underlying the recommendation, verify important facts, examine alternative explanations and consider whether the proposed action is appropriate.

The exercise would evaluate the students' reasoning rather than the sophistication of the technology used.

This approach also reflects developments in business education.

In July 2026, the Graduate Management Admission Council published an updated executive summary of A Framework for Artificial Intelligence in Business Education, developed with AACSB International, Inspire Higher Ed and the Graduate Business Curriculum Roundtable.

The research examined AI integration across 84 participating institutions.

One recommendation was that students should learn to question the options presented by AI, distinguish facts from values and recognize what a model may have omitted.

These are practical critical-thinking skills that can be incorporated into established management subjects.

4. Five Critical-Thinking Capabilities Worth Developing

Critical thinking can be approached as a combination of observable managerial behaviours.

The following five capabilities provide one possible structure for classroom learning and assessment.

1. Defining the Actual Problem

Managers sometimes begin solving a problem before establishing what is causing it.

A decline in productivity may be attributed to employee motivation when the underlying causes involve outdated technology, excessive approvals or unclear responsibilities.

Students should learn to distinguish symptoms from causes.

An effective exercise is to provide several possible explanations for an organizational problem and ask students what evidence would be required to evaluate each one.

2. Evaluating the Quality of Evidence

Not all information deserves equal weight.

A management report may contain accurate data but use inappropriate comparisons. A survey may reflect the views of only a small group. A forecast may rely on assumptions that are no longer valid.

Students should learn to examine information sources, methods, limitations and relevance.

This is particularly important when working with AI-generated summaries and recommendations.

3. Recognizing Assumptions and Biases

Managers bring professional experience, expectations and personal judgments into decision-making.

These can be valuable, but they may also influence how information is interpreted.

Confirmation bias, for example, can lead decision-makers to favour evidence supporting their initial views.

Students can develop awareness of such tendencies by being asked to construct the strongest reasonable argument against their preferred recommendation.

4. Comparing Alternatives

A decision should not be considered sound merely because the selected option appears beneficial.

Managers should examine whether other feasible approaches could produce better results or reduce important risks.

Students can practise comparing alternatives using financial, operational, ethical and stakeholder criteria.

5. Explaining and Defending Decisions

Managers must communicate recommendations to employees, executives, clients and other stakeholders.

A sound decision should have a clear rationale.

Students should be able to explain the evidence supporting their recommendation, acknowledge uncertainties and identify the conditions under which the decision should be reconsidered.

This capability connects critical thinking with communication and professional accountability.

5. Teaching Students to Make Decisions Under Uncertainty

Many classroom problems contain enough information to identify a preferred answer.

Real business situations are frequently less certain.

A manager may need to approve an investment without knowing how competitors will respond. A department head may need to reorganize operations while future demand remains unclear.

The objective of management education should not be to suggest that every decision has one correct solution.

Students can instead learn to make defensible decisions using the information available.

This involves recognizing uncertainty, comparing potential outcomes and identifying appropriate safeguards.

For example, a company considering a major technology investment could implement a limited pilot before committing to a full rollout.

Students could evaluate whether the pilot would provide useful evidence, what performance indicators should be monitored and which results would justify expansion.

This connects critical thinking with risk management, project management and organizational change.

It also demonstrates that responsible decision-making sometimes involves delaying a commitment until important uncertainties have been reduced.

6. Connecting Critical Thinking with the AMI Model

The Applied Managerial Intelligence (AMI) Model provides an additional framework for connecting critical thinking with ethical and accountable management.

AMI forms part of the Global Ethical Management Standards (GEMS) initiative.

The model identifies five interconnected elements of ethical and intelligent management.

Ethical Intelligence encourages managers to evaluate whether decisions are fair, responsible and consistent with organizational obligations.

Structural Transparency emphasizes clear responsibilities, documented reasoning and traceable decisions.

Stakeholder Relationship Management requires consideration of how decisions affect employees, customers, suppliers and other stakeholders.

Merit-Based Diversity emphasizes fair, transparent and competence-based organizational practices.

AI-Enabled Competence addresses the responsible use of technology while maintaining human judgment and oversight.

Critical thinking supports the practical application of each element.

For example, Structural Transparency requires more than documenting a decision. The information supporting that decision should also be examined.

Similarly, AI-Enabled Competence requires managers to understand when automated recommendations may be incomplete or unreliable.

The AMI Model therefore offers educators a way to connect analytical reasoning with broader questions of accountability, fairness and managerial responsibility.

It can be examined alongside established management theories and decision-making frameworks rather than replacing them.

The framework is described in greater detail at Applied Management Intelligence — AMI Framework. Applied Management Intelligence

7. Applied Management Literacy: From Critical Thinking to Demonstrable Competence

Applied Management Literacy (AML), developed within the AMI/GEMS framework, proposes five areas of managerial competence.

These are Ethical Literacy, Analytical Literacy, Operational Literacy, Stakeholder Literacy and Technological Literacy.

Analytical Literacy is particularly relevant to critical thinking.

It concerns the ability to interpret information, evaluate alternatives and apply reasoned judgment to management problems.

However, analytical competence does not operate independently.

A manager evaluating an automated recruitment system may need Analytical Literacy to assess its results, Technological Literacy to understand its limitations, Ethical Literacy to examine fairness, Operational Literacy to evaluate the recruitment process and Stakeholder Literacy to consider the consequences for applicants and employees.

This demonstrates why management decisions often require several competencies simultaneously.

For professors, AML offers a possible structure for designing assignments that assess more than theoretical knowledge.

Students can be asked to demonstrate how they investigate a problem, evaluate evidence, identify risks and justify their recommendations.

The emphasis is on observable reasoning and the quality of the decision-making process.

8. Opportunities to Enrich Existing Management Courses

Critical-thinking exercises can be incorporated into established management subjects without requiring extensive curriculum redesign.

In strategic management, students can evaluate the assumptions underlying market forecasts and competitive strategies.

In operations management, they can investigate whether reported productivity improvements represent genuine efficiency gains.

In human resource management, they can assess the evidence supporting recruitment, promotion and performance decisions.

In risk management, they can distinguish between identified risks, estimated probabilities and assumptions about potential consequences.

In change management, students can examine competing explanations for employee resistance and evaluate different approaches to implementation.

In AI and technology management, they can assess automated recommendations, data limitations and accountability.

A useful teaching approach is to require students to explain what additional information would change their conclusions.

This encourages intellectual flexibility and demonstrates that revising a recommendation in response to better evidence is a strength rather than a weakness.

9. Suggested Learning Outcomes

The following outcomes could complement existing course objectives.

Upon completing the relevant learning activities, students should be able to identify the underlying causes of management problems, distinguish evidence from assumptions, evaluate the reliability of information, compare alternative solutions and explain the reasoning supporting a management recommendation.

Students should also be able to identify limitations in AI-generated recommendations and determine when further investigation or human review is necessary.

These outcomes can be adapted to undergraduate management courses, MBA programmes and professional management education.

Assessment should focus not only on the final recommendation but also on the quality of the reasoning used to develop it.

10. Classroom Exercise: The Productivity Improvement Decision

Suggested duration: 60–75 minutes

Case Study: A Successful Project — or an Incomplete Analysis?

A medium-sized financial services company introduces an AI-supported workflow system to improve document processing.

Management reports that average processing time has declined from five days to three days.

The technology department considers the implementation successful.

Senior management is now considering reducing staffing by 15% and extending the system to other departments.

However, several employees report that the new system occasionally misclassifies documents.

The quality assurance team has also identified an increase in processing errors requiring manual correction.

The company has not yet calculated the cost of correcting these errors.

This is a hypothetical teaching case. The figures are illustrative.

Student assignment

Students should assume the role of a management advisory team.

Their responsibility is to determine whether the available evidence supports expanding the system and reducing staffing.

The exercise can be completed in three stages.

Stage 1: Evaluate the evidence

Students should identify what is known and what remains uncertain.

The reduction in average processing time is a positive result, but it does not establish whether total operational efficiency has improved.

Students should consider the number and severity of errors, correction costs, customer consequences and the reliability of the original performance measurements.

Stage 2: Compare management alternatives

Students should evaluate three possible approaches.

The company could proceed with the proposed staffing reduction and expansion.

Alternatively, it could continue using the system while collecting additional performance data.

A third option would be to redesign the workflow and improve quality controls before considering expansion.

Students should identify the advantages, limitations and risks of each approach.

Stage 3: Prepare a management recommendation

Each group should prepare a one-page decision memorandum.

The memorandum should explain the recommended action, supporting evidence, important uncertainties and proposed performance indicators.

Students should also explain how their recommendation reflects the relevant elements of the AMI Model.

Discussion questions

What evidence would establish that the new system has improved overall productivity?

Could the reduction in processing time conceal additional operational costs?

How should management evaluate the consequences of document-processing errors?

What assumptions are being made about future staffing requirements?

Should the company expand the system before resolving the identified quality issues?

How would the recommendation change if the error rate were found to be significantly higher than initially reported?

Suggested assessment criteria

Professors could evaluate the exercise using five dimensions, each worth 20% of the total grade.

Problem identification: Has the student identified the actual management problem rather than focusing only on reported processing time?

Evidence evaluation: Has the student distinguished established facts from assumptions and missing information?

Analysis of alternatives: Has the student considered feasible options and their consequences?

Ethical and operational judgment: Has the student considered accountability, employees, customers and operational risks?

Quality of recommendation: Is the proposed decision clear, proportionate and supported by evidence?

The exercise can also be extended by introducing new information after students submit their initial recommendations.

For example, the professor could reveal that the new system has reduced processing time by 40% but increased the cost of correcting errors by 60%.

Students would then reconsider their recommendations.

Learning objective: Demonstrate that critical thinking involves evaluating evidence, challenging assumptions and adjusting decisions when new information becomes available.

11. Connecting the Subject to Practical Management

Practical Management: A Comprehensive Guide to Change in the 21st Century provides relevant material for educators interested in strengthening analytical judgment and decision-making capabilities.

Chapter 3: Critical Thinking and Decision-Making for Managers

This chapter provides the principal textbook connection for the subject.

Section 3.1 — Understanding Critical Thinking in Management

Introduces critical thinking as a management subject.

Section 3.2 — Decision-Making Models for Managers

Provides a foundation for examining structured approaches to managerial decisions.

Section 3.3 — Tools for Effective Decision-Making

Connects managerial judgment with practical decision-support tools.

Section 3.4 — Learning Program: Developing Critical Thinking & Decision-Making Skills for Managers

Offers a particularly relevant connection for educators interested in developing applied competencies.

Section 3.5 — Case Studies in Managerial Decision-Making

Provides opportunities to connect theoretical knowledge with practical situations.

Sections 3.6 and 3.7 — Frequently Asked Questions, Assignments and Exercises

Offer additional material for classroom discussion and assessment.

Chapter 3 begins on page 106 of the textbook.

Complementary Reading: Chapter 14

Chapter 14 — The Applied Managerial Intelligence (AMI) Model: A New Framework for Ethical and Intelligent Management provides a complementary perspective.

Section 14.2 introduces the five elements of AMI.

Section 14.6 addresses managerial responsibility in the AMI era.

Section 14.7 introduces Applied Management Literacy standards.

Together, Chapters 3 and 14 offer educators an opportunity to connect critical thinking, structured decision-making, ethical judgment and professional managerial competence.

These subjects can also complement teaching in strategic management, organizational change, operations and risk management.

Conclusion: Developing Managers Who Can Think Independently

Management education has always valued the ability to analyze information and make informed decisions.

Technological developments are creating additional opportunities to strengthen these capabilities.

Managers can now obtain information and recommendations more quickly than ever before. However, the speed of information processing does not eliminate the need for judgment.

Future managers will need to evaluate evidence, recognize assumptions, question unreliable conclusions and explain the reasoning behind their decisions.

They will also need to understand when technology can support their work and when human oversight remains essential.

For professors, lecturers and academic programme leaders, these developments create opportunities to enrich existing management courses with practical exercises that connect theoretical knowledge with observable decision-making competencies.

The AMI Model and GEMS offer an additional framework for examining the relationship between analytical judgment, ethical responsibility and managerial accountability.

Practical Management: A Comprehensive Guide to Change in the 21st Century brings together established management subjects and contemporary applications in a comprehensive textbook designed for educators, students and professionals.

Explore Chapter 3 and consider how its material can complement your management curriculum, support classroom discussions and strengthen students' ability to make informed, responsible decisions.

Explore Practical Management and Educational Resources

Research References

World Economic Forum (January 2025). The Future of Jobs Report 2025. Research on workforce skills, analytical thinking and technological change.

Lee, H.-P., et al. (April 2025). The Impact of Generative AI on Critical Thinking — Microsoft Research. Research presented at CHI 2025 examining self-reported critical-thinking practices among 319 knowledge workers.

Graduate Management Admission Council (July 2026). A Framework for Artificial Intelligence in Business Education. Updated research examining AI integration across 84 participating institutions.

AACSB International (January 2026). A Framework for Artificial Intelligence in Business Education: Exemplars and Critical Themes for Successful Integration. Research on AI integration, responsible use and curriculum development.

Applied Management Intelligence (2026). AMI Framework and Global Ethical Management Standards.

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