Course Guide

How to build an emerging markets course: a complete guide for lecturers

A practical, ready-to-adapt guide for designing or refreshing an Emerging Markets course. It brings together course positioning, constructively aligned intended learning outcomes, twelve core concepts with teaching notes, a 12-session syllabus, applied simulations, recent readings, case studies and assessment guidance.

Emerging Markets course overview

63%

teach Emerging Markets as a named or closely related course

12

sessions as the most common course-design model

54%

taught at undergraduate level

85%

taught at postgraduate level (levels overlap)

12%

offered as core; the rest elective

77%

include an applied or experiential component

Why this course matters

International business
Economics
Marketing
Strategy
Political economy
Emerging Markets context-driven decisions
  • International business
  • Economics
  • Marketing
  • Strategy
  • Political economy

Emerging Markets integrates international business, strategy, economics, marketing and political economy because market attractiveness cannot be separated from institutions, execution and firm capability.

Career path fit

International strategyConsulting /advisoryCorporate developmentEM investing/ researchProduct / growth/ GTMRisk / policy/ sustainability
  • International strategy: 10 out of 10
  • Consulting / advisory: 9 out of 10
  • Corporate development: 8 out of 10
  • EM investing / research: 8 out of 10
  • Product / growth / GTM: 8 out of 10
  • Risk / policy / sustainability: 7 out of 10

How well this course prepares students for six role families, scored out of 10. Indicative, based on how directly the concepts map to each path - not a placement statistic.

Typical course structure

  • Foundations and heterogeneity 10%
  • Macroeconomics and institutions 20%
  • Country and industry analysis 20%
  • Entry and competitive strategy 20%
  • Customers, GTM and operating model 15%
  • Innovation, sustainability and integration 15%

Who this guide is for

This guide is built for lecturers, professors, module leaders, unit convenors, instructors of record, course coordinators and programme directors designing or refreshing an Emerging Markets, international business, global strategy or market-entry course. It is globally portable across course, module and unit terminology and can be adapted to local credit frameworks, contact-hour expectations and assurance-of-learning requirements.

It is especially useful for final-year undergraduate, MSc, MBA and executive education cohorts where the course owner wants students to do more than describe countries. The emphasis is on making and defending strategic choices using evidence about institutions, macro conditions, industry structure, firm capabilities, customers, operating constraints and execution risk.

What does an Emerging Markets course cover?

An Emerging Markets course covers the interaction between country context and firm strategy. Students move from definitions and market heterogeneity through growth, macroeconomic volatility, institutions and political economy, then into PESTLE, industry structure and firm capabilities before choosing entry modes, partnerships, customer segments, localisation and go-to-market plans. The later sessions test operating-model resilience, digital innovation, emerging-market multinationals, sustainability, geopolitics and strategic exit or reconfiguration.

The central distinction is between describing an emerging market and making a decision in one. A useful course repeatedly asks students to translate external conditions into industry economics, company capabilities and action. By the end, students should be able to compare markets, identify the evidence that matters, choose an entry or growth strategy, design an executable operating plan, state what could break the case and defend a recommendation under incomplete and sometimes conflicting information.

The course at a glance

A one-screen planning view. If you are drafting a course or module approval form, the main design choices are summarised here and expanded below.

Planning area

Suggested approach

Best fit

Final-year or senior undergraduates, MSc/MS International Business, Management, Strategy or Marketing cohorts, MBA/EMBA and executive education.

Typical length

10, 12 or 14 teaching sessions, with 12 as the standard model. Roughly 24-36 contact hours plus independent work within about 150-180 notional learning hours for a standard semester elective.

Course role

Usually an international business, strategy or global management elective. It can also serve as an integrative capstone where the programme needs evidence that students can apply frameworks across changing institutional contexts.

Useful prerequisites

Introductory strategy, economics or international business is helpful. Students should be able to read basic financial and market data, but specialist finance knowledge is not required.

Main student output

A board-style market-entry or market-growth recommendation supported by country, industry, capability, customer and execution evidence.

Best assessment fit

A group applied recommendation carrying most of the summative weight, plus an individual assumptions note, reflection or short oral defence that produces attributable evidence. Most courses use two assessment points, not every format listed later.

Best simulation fit

PESTLE Analysis after macro and institutional analysis; Porter's Five Forces after industry structure; SWOT Analysis after internal/external diagnosis; and Go To Market as a secondary execution-transfer exercise after segmentation and positioning.

Learning outcomes

The intended learning outcomes below use assessable verbs and constructive alignment so the evidence students produce can be traced into marking and course review. Bloom's taxonomy is used as a design check rather than as a hierarchy to recite: the course moves quickly from comparison and analysis into evaluation, design and defence.

Outcomes 1-3 establish the context vocabulary; outcomes 4-10 carry most of the applied cognitive demand and should attract most of the assessment credit.

  1. Compare emerging markets using transparent criteria and explain why national labels can obscure strategically important variation.
  2. Analyse macroeconomic, developmental and institutional evidence and translate it into firm-level opportunities, constraints and scenarios.
  3. Evaluate political-economy and country-risk factors that may change market-entry timing, structure, cost or feasibility.
  4. Apply PESTLE and Porter's Five Forces to distinguish macro-environmental conditions from industry-level competitive pressure.
  5. Assess firm resources, capabilities and business-group advantages using SWOT without confusing internal and external evidence.
  6. Compare market-entry modes, partnership structures and non-market strategies using control, speed, capital, legitimacy and reversibility trade-offs.
  7. Design customer segmentation, localisation and go-to-market choices that are coherent with affordability, accessibility, positioning and channel economics.
  8. Evaluate operating models for supply-chain, currency, working-capital and resilience implications.
  9. Critically assess how digital innovation, emerging-market multinationals and institutional differences shape the transferability of competitive advantage.
  10. Defend an integrated stay, enter, scale, reconfigure or exit recommendation using explicit evidence, assumptions, trigger points and ethical considerations.

Core concepts

The sequence in this guide reflects course-design patterns commonly seen in Ivy League and leading global business-school teaching on Emerging Markets and closely related modules in international business, global strategy and market entry. This is a design pattern, not a claim that every leading school uses the same syllabus: establish context, build analytical frameworks, apply them to market and firm decisions, then integrate execution and strategic judgement.

There are twelve core concepts in this Emerging Markets course. The labels below are repeated exactly in the Concept Details headings so a lecturer arriving mid-page can see the progression immediately.

  1. Defining and comparing emerging markets
  2. Growth, development and macroeconomic volatility
  3. Institutions, political economy and country risk
  4. PESTLE analysis and macro-environmental scanning
  5. Industry structure and competitive attractiveness
  6. Firm capabilities, business groups and SWOT analysis
  7. Market entry modes, partnerships and non-market strategy
  8. Consumers, segmentation and business-model adaptation
  9. Go-to-market execution and localisation
  10. Operating models, supply chains and financial resilience
  11. Innovation, digital leapfrogging and emerging-market multinationals
  12. Sustainability, ethics and strategic exit or reconfiguration

Concept Details

Each concept below is written as a lecturer-facing teaching block: a central question, coverage, assessable outcomes, a runnable fictional case with data, common difficulties, a reading check, an applied simulation where it genuinely fits, and the bridge into the next concept.

Connecting the concepts

The alignment map below turns the twelve concepts into a sequence of tangible outputs. That gives lecturers formative evidence during the course and means the final summative recommendation is an assembly of tested decisions rather than a single end-of-term leap.

Stage of emerging-market work

Principal concepts

Expected student output

Assessment evidence

Define the setting

Concepts 1-2

Market comparison and macro scenario sheet

Formative evidence: criteria, assumptions and business consequences.

Diagnose country context

Concepts 3-4

Country-risk map and weighted PESTLE recommendation

Formative evidence: materiality, evidence selection and trigger points.

Test industry and firm fit

Concepts 5-6

Five Forces view plus capability/SWOT diagnosis

Formative evidence: external versus internal logic and strategic fit.

Choose how to enter

Concept 7

Entry-mode and partner recommendation

Decision evidence: control, speed, legitimacy, capital and reversibility trade-offs.

Design customer and launch logic

Concepts 8-9

Segment choice, localisation logic and GTM plan

Applied evidence: linked target, channel, positioning, price and launch metrics.

Build a resilient operating model

Concept 10

Landed-cost, working-capital and resilience memo

Quantitative evidence: scenario response, cash implications and mitigants.

Scale advantage and reconfigure

Concepts 11-12

Board-style integrated recommendation

Summative output: enter, scale, stay, reconfigure or exit, with individual defence.

Frameworks organise evidence. They do not make the strategy decision.

Credit the quality of assumptions, the distinction between evidence and inference, the recognition of missing information, the consistency between country, industry and firm analysis, and the ability to defend a decision when a plausible alternative exists.

Adapting for undergraduate and postgraduate students

The architecture holds across levels; what changes is the scaffolding and the tolerance for ambiguity. Undergraduates can analyse PESTLE, Five Forces, SWOT and entry modes, but they benefit from curated data and explicit decision criteria. MSc, MBA and executive cohorts can be asked to identify missing information, challenge the framing, defend alternative choices and respond when the evidence shifts.

For a 12-session university version, 24-36 contact hours within roughly 150-180 notional learning hours is a workable planning assumption. Local credit values vary, so the course coordinator, module leader or unit convenor should map this workload to institutional policy rather than treat the hours here as a universal credit conversion.

Course design area

Undergraduate version

Postgraduate / MBA / executive version

Course emphasis

Build clear distinctions between country context, industry structure, firm capabilities and execution.

Move faster into ambiguity, contested evidence, sequencing, partner governance and reconfiguration under uncertainty.

Scaffolding

Provide curated data packs, explicit decision criteria and worked examples before open-ended tasks.

Provide incomplete or conflicting evidence and require students to identify what is missing and how much it matters.

Cognitive demand

Compare markets, apply frameworks correctly, make bounded recommendations and explain calculations.

Challenge framework assumptions, reconcile contradictory signals and defend choices under live questioning.

Quantitative work

Use accessible macro, market-size, price, margin, FX and working-capital calculations.

Add scenario ranges, sensitivity analysis, partner economics and cross-border capital or cash implications where relevant.

Cases and readings

Use shorter cases, textbook chapters and structured evidence sheets.

Add current academic papers, policy reports, complex case material and student-led evidence sourcing.

Simulation use

Use simulations as guided applied exercises with pre-briefs, role clarity and a structured debrief.

Use simulations as contested decision environments, then require individual defence or reflective evidence.

Assessment

Reward correct distinction between evidence, framework and decision, plus coherent recommendation.

Weight judgement, assumption defence, strategic consistency, risk recognition and response to challenge more heavily.

Executive education

Not usually the primary design target.

Compress theory, use participants' market experience, focus on live strategic choices and peer challenge.

The 12-session syllabus

The syllabus follows a full strategy lifecycle: classify the market, understand growth and volatility, diagnose institutions and industry structure, test firm capabilities, choose an entry architecture, localise the customer proposition, build go-to-market and operating plans, examine innovation and outward internationalisation, then integrate sustainability, geopolitics and strategic reconfiguration.

Emerging Markets Course Guide

The design principle worth keeping if you change nothing else is that application should not be deferred to the end. Every session leaves a concrete output that can feed formative feedback or the final summative recommendation.

Session

Topic

Teaching focus

Student activity

Best-fitting simulation, where relevant

Assessment or output

1

What is an emerging market?

Definitions, heterogeneity, development patterns and the limits of country labels.

Build a market-classification scorecard for three contrasting countries.

One-page market comparison with criteria and caveats.

2

Growth, development and macroeconomic volatility

Growth drivers, inflation, FX, sovereign conditions, demographics and scenario thinking.

Translate macro indicators into price, demand, margin and cash implications.

Base, upside and downside macro scenario sheet.

3

Institutions, political economy, country risk and PESTLE

Formal and informal institutions, policy risk, regulation and material external forces.

Score and weight a market-entry PESTLE; reconcile growth and risk perspectives.

PESTLE Analysis

Weighted PESTLE recommendation with evidence gaps and triggers.

4

Industry structure and competitive attractiveness

Five Forces, local champions, state-owned firms, distribution bottlenecks and industry boundaries.

Assess all five forces and defend an industry-entry decision.

Porter's Five Forces

Industry attractiveness memo with the force most likely to determine margin.

5

Firm capabilities, business groups and SWOT

Internal resources, liabilities of foreignness, business groups and local competitor advantages.

Classify evidence, score materiality and generate TOWS-style options.

SWOT Analysis

Capability and SWOT diagnosis linked to two strategic options.

6

Entry modes, partnerships and non-market strategy

Exporting, licensing, alliances, JVs, acquisitions, greenfield entry and partner governance.

Compare three modes using control, speed, capital, legitimacy and reversibility.

Board recommendation on mode and partner structure.

7

Consumers, segmentation and business-model adaptation

Income dispersion, 4As, affordability, channels, product and revenue-model adaptation.

Choose a target segment and identify what to adapt and what to keep standardised.

Segment and localisation brief with unit-economics check.

8

Go-to-market execution and localisation

STP, regional sequencing, channels, positioning, price, packaging, promotion and launch metrics.

Build a linked GTM decision sheet and test first-year contribution under three scenarios.

Go To Market

GTM plan plus note translating the exercise to an emerging-market launch.

9

Operating models, supply chains and financial resilience

Local sourcing, logistics, FX, working capital, inventory and resilience.

Compare sourcing mixes under currency and disruption scenarios.

Operating-model memo with cash and resilience triggers.

10

Innovation, digital leapfrogging and ecosystems

Frugal innovation, mobile-first models, platforms, data and ecosystem governance.

Assess whether a constraint-born innovation travels to another market.

Reverse-innovation or ecosystem strategy memo.

11

Emerging-market multinationals and outward internationalisation

Capability transfer, springboard strategies, acquisitions and institutional distance.

Compare a local champion expanding outward with an incumbent multinational adapting inward.

Internationalisation recommendation with transferable and location-bound capabilities.

12

Sustainability, geopolitics and strategic reconfiguration

Responsible sourcing, compliance, sanctions, data sovereignty, legitimacy, stay/adapt/divest/exit choices.

Defend an integrated board decision with financial, regulatory, ethical and strategic triggers.

Final market-entry, growth, reconfiguration or exit recommendation plus individual defence.

Simulations: what they are and why they belong in this course

Emerging Markets is a decision-led subject. Lectures can teach country risk, institutions, PESTLE, Five Forces, SWOT, entry modes and localisation, but students only discover whether they can use those ideas when they must choose between plausible options with incomplete evidence and competing priorities.

Simulations belong after the relevant concepts are in place. They can make analytical disagreement visible, create a shared decision record for debriefing, and help the lecturer distinguish framework recall from evidence-based judgement. The platform records what each team decided, the terms they agreed and comparative outcomes across groups. That evidence supports your academic judgement; it does not replace it, and it does not establish which individual student made which argument.

There is also an accreditation case for structured experiential work. Applied decisions, documented reflection and a clear debrief can generate assurance-of-learning evidence that is easier to connect to intended learning outcomes than student enjoyment alone.

If you need the accreditation language itself, what AACSB and AMBA say about simulations sets it out.

Traditional case study vs simulation

Teaching format

What it does well

Limitation

Best use in this course

Traditional case study

Gives students a rich setting, exhibits and a decision that can be analysed slowly.

Students can discuss a recommendation without having to reconcile live disagreement, timing or role incentives.

Best for institutions, entry modes, partnerships, operating models, ethics and strategic reconfiguration.

Simulation

Places students into a defined decision environment where they must analyse evidence, make trade-offs and defend choices.

Needs clear prior knowledge and a structured debrief; otherwise activity can outrun learning.

Best after PESTLE, Five Forces, SWOT and GTM concepts when students need to apply the framework to a consequential choice.

Where simulations fit

The two deepest fits for an Emerging Markets course are PESTLE Analysis and SWOT Analysis because they directly support country-context diagnosis and firm-level strategic fit. Porter's Five Forces remains a primary application in the syllabus, while Go To Market is a secondary transfer exercise for execution coherence.

Course point

Simulation

How to use it

Why it fits

Session 3: institutions, country risk and PESTLE

PESTLE Analysis

Use after students know the six categories and can distinguish evidence from assumptions.

Growth Strategy and Risk Management teams analyse the same market-entry evidence, weight factors and reconcile a final recommendation.

Session 4: industry structure

Porter's Five Forces

Use after the five forces are taught.

Growth and Risk teams score the same market, compare interpretations in an Investment Committee and reach a Go, Conditional Go or Reject decision.

Session 5: firm capabilities and SWOT

SWOT Analysis

Use after students can separate internal strengths/weaknesses from external opportunities/threats.

Business Development and Risk Management teams classify evidence, score importance, write reasoning and challenge one another before a strategic recommendation.

Session 8: GTM execution

Go To Market

Use as a secondary transfer exercise rather than as an emerging-market country case.

Students make linked STP, regional, channel, positioning, pricing and promotion choices, then translate the decision logic to an emerging-market launch brief.

AI impact on Emerging Markets teaching

AI changes the assessment signal in Emerging Markets because it can draft country summaries, PESTLE tables, Five Forces analyses, SWOTs, entry-mode comparisons and market-entry memos very quickly. The teaching response should not be to reward a more polished framework. Credit should shift toward source selection, dates, assumptions, missing information, materiality, strategic consistency and the ability to defend a recommendation when a plausible alternative exists.

A workable permitted-use policy is to allow AI for structuring, drafting, translation and checking where local regulations permit, require declaration of meaningful use, and make the analytical choices attributable to the student. Students should be able to identify their sources, explain which AI suggestions they rejected and defend any assumption used in the final recommendation.

How AI is changing the subject

Emerging-market analysis is especially exposed to stale data, country generalisations and source-quality problems. AI can help students scan faster, but the lecturer should use that speed to demand better verification and sharper judgement rather than more pages.

Implications for teaching and assessment

Teaching area

AI implication

Lecturer response

Country and market scanning

AI can summarise large volumes of macro, policy and market material quickly, but can blur dates, sources and uncertainty.

Require traceable sources, evidence dates and a short note on what was not verified.

PESTLE and Five Forces

AI can generate a plausible framework in seconds, which makes framework completion a weak assessment signal.

Mark materiality, evidence selection, weighting, disputed interpretations and the strategic consequence of the analysis.

SWOT and capability analysis

AI often misclassifies internal and external factors or repeats generic claims.

Ask students to label fact, assumption and inference and defend why an item belongs in a category.

Entry mode and partner choice

AI can enumerate options but cannot know the school's chosen evidence or stakeholder priorities unless supplied.

Credit explicit decision criteria, rejected alternatives, governance risks and trigger points.

GTM and localisation

AI can draft personas, positioning and channel plans, sometimes with invented market facts.

Require a coherent link between target, channel, price, unit economics and source-backed local evidence.

Final board memo

AI can produce polished prose that may conceal weak reasoning.

Use individual oral defence, live challenge or an assumptions appendix so the student must own the judgement.

Recommended readings

Core textbook: S. Tamer Cavusgil, Pervez N. Ghauri and Leigh Anne Liu, Doing Business in Emerging Markets, 3rd edition, SAGE Publications Ltd, 2021. It is a strong single-text fit because it combines definitions, economic transformation, market attractiveness, market-potential assessment and the management of operations in emerging markets.

Alternative textbook: Robert Grosse and Klaus E. Meyer, editors, The Oxford Handbook of Management in Emerging Markets, Oxford University Press, 2019. Use it when you want a broader research-led reference across institutions, strategy, organisation and management rather than a single linear teaching text.

Foundational readings worth assigning directly

The eight directly assigned items are all post-2015, with the list weighted toward 2023-2026 sources. Use the current macro reports as updateable evidence rather than as timeless theory.

Real case studies to use

The twelve fictional cases in the Concept Details are designed as licence-free seminar exercises with complete figures. For a longer assessed case, the following two are verified options.

Verified case

Brazil in 2022: A (More) Business-Friendly Country?

Authors: L. Felipe Monteiro, Giovana Nahas, Leticia Penna and Victoria Meduna Publisher: INSEAD (2022)

Why it fits: A country-context case for reform, institutions and the business environment.

Best placement: Sessions 2-3, before PESTLE.

Assessment fit: Country-risk memo, PESTLE critique or evidence-based entry recommendation.

View case study

Verified case

Shopee's short-lived venture into India: Market entry and exit amid environmental uncertainty

Authors: Lai Si Tsui-Auch and Yuanling Vicky Lua Publisher: Nanyang Technological University / Harvard Business Publishing (2022)

Why it fits: A strong entry-and-exit case for uncertainty, regulation, competition and the limits of rapid international expansion.

Best placement: Sessions 6-8 or as a bridge into Session 12.

Assessment fit: Market-entry post-mortem, re-entry conditions or strategic exit memo.

View case study

Sample session plan: evaluating market entry under macro and institutional uncertainty

Best placement: Session 3, after students have covered market heterogeneity, growth and macro volatility and before industry structure. Session aim: convert institutional and macro evidence into a market-entry recommendation that is explicit about materiality, uncertainty and trigger points.

Session stage

Time

Teaching purpose

Lecturer approach

Student output

Pre-class preparation

Before class

Give students a common country brief and make evidence quality visible before the decision.

Assign a 2-page country and industry brief, current World Bank/IMF indicators and a short PESTLE primer.

One-page evidence log separating fact, assumption and unresolved question.

Opening frame

10 minutes

Create a real decision rather than a framework exercise.

Ask: "Should Solara Mobility commit to local assembly now, delay for 12 months, or continue importing?"

Students take an initial position and state the one fact driving it.

Mini-lecture

20 minutes

Connect institutions, country risk and PESTLE to strategic materiality.

Model one factor from evidence to business mechanism to decision consequence.

Students annotate the chain: evidence - mechanism - strategic effect.

Team analysis

35 minutes

Force prioritisation across six categories.

Teams score PESTLE factors, allocate weights to 100% and identify confidence levels.

Weighted PESTLE plus the two most material uncertainties.

Decision challenge

25 minutes

Expose role-based disagreement.

Split teams into growth and risk perspectives and require each to challenge one weight and one evidence claim.

Revised recommendation with accepted and rejected challenges.

Board recommendation

20 minutes

Convert analysis into a decision and conditions.

Require enter, delay or do-not-enter plus two trigger points and one missing-data request.

Three-slide board recommendation or 500-word memo.

Simulation link

Optional 60-120 minutes

Turn the same logic into an applied decision environment.

Run the PESTLE Analysis Simulation after the concept teaching, not before it.

Simulation record plus post-simulation note on what changed.

Debrief

20 minutes

Reconnect outcomes to course concepts and assessment evidence.

Ask which weight, fact or assumption changed most and what evidence would reverse the decision.

Individual 150-word reflection that can support attributable evidence.

Why this session matters: it establishes the discipline used throughout the course. Students learn that a framework is valuable only when it sharpens a decision, exposes assumptions and identifies what evidence would change the recommendation.

Assessment options for an Emerging Markets course

The intended learning outcomes reward judgement rather than recall, so assessment should ask students to recommend and defend rather than reproduce frameworks. A common defensible pattern is one group applied output carrying most of the summative weight plus an individual assumptions note, reflection or oral defence that produces attributable evidence, subject to local regulations and moderation policy.

The options below are a menu. Most modules will choose two substantial assessment points, not every format. Marking should separate analytical quality from presentation quality, use explicit criteria for evidence and assumptions, and include a route for identifying individual contribution where group work is used.

Assessment option

Format

What students produce

Indicative weighting if used

Market comparison brief

Individual

Compare two or three markets against explicit criteria and state where the comparison breaks down.

15-20%

Country and industry diagnosis

Group or individual

PESTLE plus Five Forces with evidence quality, weighting and strategic consequence.

20-30%

Market-entry board memo

Group

Recommend enter, delay, partner, acquire or stay out, with conditions and trigger points.

35-50%

Individual oral defence or assumptions note

Individual

Defend the group recommendation, identify contested assumptions and respond to a changed fact pattern.

20-30%

Case post-mortem

Individual

Explain why an actual entry, scale-up or exit succeeded or failed without hindsight bias.

15-25%

Simulation debrief

Individual or paired

Use the decision record to explain what changed, which evidence mattered and what the student would revise.

10-20%

Common mistakes when teaching Emerging Markets

The strongest courses do not accumulate frameworks. They repeatedly make students connect country evidence to industry economics, firm capability and an executable decision, then ask what evidence would change that decision.

Common mistake

Why it weakens the course

Better approach

Treating emerging markets as one homogeneous category

Students reproduce stereotypes and miss strategically relevant country and city variation.

Begin with contrasting markets and require explicit criteria for comparison.

Using GDP growth as the opportunity thesis

Fast growth can coexist with weak margins, unstable currency, low affordability or difficult distribution.

Translate macro indicators into demand, price, margin, cash and execution consequences.

Turning PESTLE into a six-box news summary

The framework becomes descriptive and detached from the decision.

Require evidence, weights, time horizon and a clear enter/delay/do-not-enter implication.

Confusing country risk with industry attractiveness

Students assume a difficult country makes every industry unattractive, or the reverse.

Separate macro/institutional analysis from Five Forces, then connect them explicitly.

Using SWOT before the external and internal evidence is clear

The class fills four boxes with generic adjectives.

Teach internal/external distinction, evidence quality and TOWS-style strategic options.

Assuming local partnership automatically reduces risk

A partner can add legitimacy and access while creating agency, governance and compliance risk.

Assess partner economics, control rights, incentives, exit clauses and what the partner actually contributes.

Teaching localisation as a branding exercise

Students change messaging but ignore affordability, channels, packaging, service and unit economics.

Use the 4As and require a linked target-channel-price-operating model.

Ignoring FX, working capital and supply-chain cash effects

An attractive market can fail operationally because the model consumes cash or cannot deliver reliably.

Add landed-cost, inventory and currency sensitivity to the strategy case.

Rewarding polished AI-generated country summaries

Students can produce fluent prose without owning sources, assumptions or judgement.

Credit source traceability, missing information, decision logic and individual defence.

Leaving exit and reconfiguration until a crisis

Students learn entry as irreversible commitment rather than staged strategy.

Teach trigger points for scale, pause, redesign, divest or exit from the beginning.

Frequently asked questions

These questions mix subject design, delivery operations and copy-paste course-approval utility so a lecturer can move from curriculum planning into implementation.

Related course guides and teaching resources

Strategic Management Course Guide

Use alongside this page for competitive strategy, external analysis and the integration of market context with firm-level choices.

View course guide

International Business Course Guide

Use for broader cross-border strategy, institutions, internationalisation and multinational management.

View course guide

International Trade Course Guide

Use for trade flows, policy, tariffs, market access and the cross-border forces shaping emerging-market opportunities.

View course guide

International Strategy Course Guide

Use for geographic scope, entry choices, global integration versus local responsiveness and cross-border capability transfer.

View course guide

PESTLE Analysis Simulation

Apply macro-environmental analysis to a live market-entry decision.

View simulation

SWOT Analysis Simulation

Connect internal capabilities and external conditions to an expansion recommendation.

View simulation

Next steps for your module

Use these options to explore the teaching materials, speak with the team, or see how the simulations would fit into your course.

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Getting started with your first simulation

A practical introduction for lecturers running a simulation for the first time.

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Operate

How to operate the simulator

See the lecturer workflow for setup, delivery, dashboards, debriefs and student support.

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