How to build a business economics course: a complete guide for lecturers

Central question: How should managers make choices when resources are scarce and every option has an economic trade-off?

Business Economics starts with a way of reasoning rather than a list of diagrams. Lecturers need students to move from accounting descriptions of what happened to economic questions about what changes at the margin, what is sacrificed, which incentives alter behaviour and what evidence would change a choice.

What this concept covers

• Scarcity, choice and opportunity cost in business decisions.
• Marginal benefit, marginal cost and incremental decision-making.
• Sunk costs, avoidable costs and the danger of backward-looking reasoning.
• Incentives, principal-agent problems and behavioural responses.
• Positive analysis, normative judgement and the role of assumptions.

Learning outcomes

By the end of this concept, students should be able to:

• Apply opportunity-cost reasoning to a constrained business choice.
• Distinguish marginal, sunk and avoidable costs in a recommendation.
• Identify incentives that could change stakeholder behaviour.
• State the assumptions required for a decision rule to be defensible.

Supports the course outcomes most directly related to this part of the decision lifecycle.

How to teach it

• Open with a capacity-allocation decision rather than a definition of scarcity.
• Ask students to identify the relevant alternative forgone by each option.
• Use short counterfactuals: what changes if demand, capacity or incentives change?
• Require every answer to include a decision, not only a calculation.

Case-style example

UrbanRide has 20 vans and one free weekend slot. A festival contract pays £18,000 but uses all 20 vans and creates £6,000 of extra operating cost. Regular airport work would contribute £15,500 over the same period, while cancelling it risks a £2,500 future client penalty. Students compute the incremental contribution of each route, then compare a one-period profit decision with a relationship-preserving decision. Both can be defended depending on how the future penalty is treated. Students discover that opportunity cost is the value of the best forgone alternative, not merely an invoice.

Where students struggle

Students often include sunk expenditure because it feels important, or treat opportunity cost as an abstract definition rather than a number or foregone alternative that changes the recommendation.

Reading and a quick check

Use Sloman et al., Chapters 1-2. Quick check: ask students to name one number in the case that should be excluded from a forward-looking decision and one missing number that would change the answer.

Applied teaching activity

A short decision memo works better here than a simulation. Give two projects with the same reported profit but different capacity use, then ask students to defend which should be accepted.

Where it leads

The next step is demand: once students can frame a decision economically, they need to estimate how customers respond when price, income, alternatives or market conditions change.

Central question: How sensitive is customer demand to price, income and alternatives, and what does that imply for revenue and market planning?

Demand analysis is most useful when it changes a commercial decision. The teaching goal is not simply to calculate an elasticity coefficient, but to connect elasticity to pricing power, revenue, substitution, segmentation and uncertainty in forecasts.

What this concept covers

• Demand curves and movements versus shifts in demand.
• Price, income and cross-price elasticity.
• Revenue effects of price changes under elastic and inelastic demand.
• Segmentation, willingness to pay and demand heterogeneity.
• Forecasting assumptions, seasonality and the limits of historical data.

Learning outcomes

By the end of this concept, students should be able to:

• Calculate and interpret core elasticity measures.
• Predict the revenue effect of a price change using elasticity.
• Distinguish substitution from a general shift in demand.
• Critique a forecast by identifying the assumptions most likely to fail.

Supports the course outcomes most directly related to this part of the decision lifecycle.

How to teach it

• Use real or fictional transaction data before introducing formulas.
• Ask students to make a price recommendation before revealing the elasticity estimate.
• Compare one aggregate elasticity with different segment elasticities.
• Have groups defend what evidence would justify extrapolating historical demand.

Case-style example

FreshBox sells 50,000 monthly meal-kit subscriptions at £20. A pilot raises price to £22 and subscriptions fall to 44,000. Variable fulfilment cost is £11 per box and fixed monthly overhead is £260,000. Students estimate arc price elasticity, compute revenue and contribution before and after the change, then compare a revenue-maximising view with a contribution-maximising view. One side can favour the higher price even as volume falls; the other can argue the pilot is too small to generalise. Students discover that elasticity informs a decision only when combined with costs and evidence quality.

Where students struggle

Students frequently calculate elasticity correctly but then misread the sign, ignore the cost side, or assume a short pilot provides a permanent demand curve.

Reading and a quick check

Pair Sloman et al., Chapters 6-8, with Goldfarb and Tucker (2019) for digital settings. Quick check: ask whether the £2 increase should be kept if variable cost rises to £13.

Applied teaching activity

Use a spreadsheet demand exercise with three customer segments and ask students to recommend one price or a segmented offer, stating the evidence they would need to validate the model.

Where it leads

Demand tells students how customers respond. Costs determine whether the volume created by that demand is economically attractive.

Central question: Which costs change with the decision, how does scale affect unit economics, and where do apparent efficiencies become risk?

A business-economics treatment of cost should connect production logic to managerial choice. Students need to distinguish fixed from variable cost, short-run from long-run adjustment, average from marginal cost and accounting allocation from economically relevant cost.

What this concept covers

• Fixed, variable, marginal and average cost.
• Economies and diseconomies of scale and scope.
• Learning effects, capacity utilisation and bottlenecks.
• Productivity and the relationship between physical output and monetary cost.
• Cost allocation versus decision-relevant incremental cost.

Learning outcomes

By the end of this concept, students should be able to:

• Construct and interpret a simple cost curve.
• Identify the scale at which unit economics improve or deteriorate.
• Separate allocated overhead from avoidable cost in a decision.
• Evaluate whether apparent scale economies justify capacity expansion.

Supports the course outcomes most directly related to this part of the decision lifecycle.

How to teach it

• Begin with a production decision and let students classify which costs move.
• Show how average cost can fall while total cash commitment rises sharply.
• Use capacity utilisation to explain why short-run and long-run costs differ.
• Link the economics to managerial-accounting measures without collapsing the two subjects into each other.

Case-style example

AeroPack produces 600,000 insulated containers a year. Fixed plant cost is £6 million, variable cost is £4.20 per unit and selling price is £16. A new line costing £3 million a year would raise capacity to 1 million units and cut variable cost to £3.60 if output exceeds 850,000. Students compute current and expanded average cost, break-even volume and contribution, then compare a scale-economy case with a demand-risk case. Students discover that lower unit cost can be economically worse if the extra fixed commitment outruns credible volume.

Where students struggle

Students often assume falling average cost is automatically good, ignore utilisation risk, or treat allocated overhead as though it disappears when a product is dropped.

Reading and a quick check

Use Sloman et al., Chapters 9-10. Quick check: ask at what annual volume the new line lowers total cost relative to the current process.

Where a simulation fits

The Managerial Accounting Simulation is a secondary fit. Students work individually through product profitability and a constrained capital allocation, connecting contribution, break-even, ROI and NPV to a decision rather than treating each metric as an isolated calculation.

Where it leads

With demand and cost in place, students can analyse the competitive environment that determines how much of that economic value the firm can actually capture.

Central question: How does the structure of a market affect rivalry, pricing power, entry, innovation and long-run profitability?

Market structure should be taught as a mechanism, not a taxonomy exercise. The important question is how concentration, differentiation, entry barriers, switching costs and strategic response affect what firms can charge, how hard rivals compete and how durable profits can be.

What this concept covers

• Perfect competition, monopoly, monopolistic competition and oligopoly as benchmark models.
• Concentration measures including concentration ratios and HHI.
• Barriers to entry, switching costs and product differentiation.
• Markups, market power and the limits of concentration as a proxy for competition.
• Dynamic competition, innovation and contestability.

Learning outcomes

By the end of this concept, students should be able to:

• Calculate simple concentration measures.
• Interpret how market structure can influence pricing and margins.
• Distinguish concentration from proven market power.
• Evaluate how entry, differentiation or innovation could change industry economics.

Supports the course outcomes most directly related to this part of the decision lifecycle.

How to teach it

• Give market-share data before naming the structure.
• Ask students to calculate HHI and then challenge whether it captures the true competitive set.
• Contrast static concentration with dynamic entry or substitution.
• Use Syverson and De Loecker et al. to connect classroom models to current market-power debates.

Case-style example

StreamArc competes in a five-firm national streaming market with shares of 35%, 25%, 20%, 12% and 8%. Average subscription margins are 32%, but a free ad-supported entrant can reach 10% share within two years. Students calculate HHI and the four-firm concentration ratio, then compare a concentration-based argument for durable market power with a contestability argument built on low digital distribution costs and changing consumer bundles. Students discover that concentration describes structure, while economic power depends on substitution, entry and behaviour.

Where students struggle

Students frequently label a market “oligopoly” and stop. The deeper work is explaining which mechanism creates or erodes power and what evidence would distinguish competing explanations.

Reading and a quick check

Assign Syverson (2025) and De Loecker, Eeckhout and Unger (2020). Quick check: recalculate HHI if the new entrant takes five percentage points from the leader and five from the second-largest firm.

Applied teaching activity

Use an industry-data workshop where groups define the market in two defensible ways and show how that changes concentration and the interpretation of competitive pressure.

Where it leads

Market structure gives the industry-level picture. Porter's Five Forces then turns that economics into a structured diagnosis of where bargaining pressure and profitability come from.

Central question: Which structural forces determine industry attractiveness, pricing power and the share of value captured by firms?

Porter’s Five Forces belongs in Business Economics when it is used to explain profitability rather than as a generic strategy checklist. The lecturer should keep the economic logic visible: entry changes supply, buyer and supplier power affect surplus capture, substitutes constrain willingness to pay, and rivalry determines how aggressively value is competed away.

What this concept covers

• Threat of new entrants and the economics of entry barriers.
• Supplier bargaining power, concentration and switching.
• Buyer power, price sensitivity and procurement leverage.
• Substitutes and cross-price constraints on willingness to pay.
• Rivalry, capacity, differentiation and the persistence of economic profit.

Learning outcomes

By the end of this concept, students should be able to:

• Apply all five forces to one industry-attractiveness question.
• Connect each force to a mechanism affecting price, cost or investment.
• Weight evidence by materiality rather than treating every force equally.
• Defend a market-entry recommendation under challenge.

Supports the course outcomes most directly related to this part of the decision lifecycle.

How to teach it

• Teach the economic mechanism behind each force before students score anything.
• Force groups to identify a price, cost or return implication for every major claim.
• Have growth-oriented and risk-oriented teams analyse the same evidence.
• Debrief disagreements by tracing them back to assumptions, not by declaring one framework score correct.

Case-style example

BeanAxis is considering a premium café launch in a market where the top three coffee suppliers control 68% of speciality beans, landlord rents have risen 12%, customer switching cost is low, home-brewing machines are growing 18% a year and the largest café chain holds 29% share. Students score each force from 1 to 10, write one economic mechanism for each score, then compare a growth case with a risk case. Students discover that a growing market can still be structurally unattractive if bargaining pressure captures the upside.

Where students struggle

Students often restate facts under five headings, double-count the same evidence, or treat a high-growth market as automatically attractive without explaining who captures the economic value.

Reading and a quick check

Use Sloman et al., Chapters 11-17, plus Gilbert (2023) for a competition-policy counterpoint. Quick check: ask which single force would change most if supplier concentration fell from 68% to 30%.

Where a simulation fits

The Porter's Five Forces Simulation fits after students know market structure and the five-force mechanisms. It asks Growth and Risk teams to score the five forces, support each judgement with evidence, and defend a Go, Conditional Go or Reject market-entry recommendation.

Where it leads

Once students understand the structure of competition, they can examine how firms choose prices and how rivals may respond.

Central question: How should a firm set prices when customers differ in willingness to pay, competitors react and capacity is limited?

Pricing is where demand, cost and market structure meet. A strong Business Economics course makes students defend price architecture rather than calculate a monopoly price in isolation. Segmentation, capacity, fairness, data availability and competitor response all matter.

What this concept covers

• Markup logic and the connection between elasticity and pricing power.
• First-, second- and third-degree price discrimination.
• Versioning, bundling, subscriptions and two-part tariffs.
• Peak-load pricing and revenue management under capacity constraints.
• Pricing algorithms, data, privacy and strategic response.

Learning outcomes

By the end of this concept, students should be able to:

• Recommend a price using demand and marginal-cost information.
• Compare uniform and segmented pricing.
• Evaluate when price discrimination creates value and when it triggers strategic or regulatory risk.
• Predict how competitor response can alter the economics of a pricing move.

Supports the course outcomes most directly related to this part of the decision lifecycle.

How to teach it

• Use segment-level willingness-to-pay data and require students to compute contribution, not just revenue.
• Introduce ethical and regulatory constraints after students find the profit-maximising price.
• Ask rival teams to respond to each proposed pricing move.
• Use Brown and MacKay to discuss algorithmic interaction rather than treating digital pricing as frictionless optimisation.

Case-style example

CloudDesk serves 8,000 small firms willing to pay about £24 a month and 2,000 enterprise users willing to pay £55. Marginal service cost is £6 per account. A single £28 price retains 7,200 small firms and all enterprise users; a two-tier £22/£50 plan retains 7,800 and 1,900 respectively but costs £70,000 a year to administer. Students compute annual contribution under both plans, then compare profit, churn risk and fairness concerns. Students discover why price architecture is an economic design choice, not a single number.

Where students struggle

Students may maximise revenue while ignoring marginal cost, assume all observable segmentation is feasible, or overlook how rivals and regulation can make a theoretically optimal price unstable.

Reading and a quick check

Assign Anderson, Baik and Larson (2023) and Brown and MacKay (2023). Quick check: ask what customer-loss threshold would eliminate the contribution advantage of the two-tier plan.

Applied teaching activity

Run a pricing workshop with one firm setting a price, a rival responding and a regulator challenging the evidence used for personalisation.

Where it leads

Pricing under rivalry naturally opens into game theory, where the profitability of one action depends on what competitors do next.

Central question: How should managers make a decision when the best action depends on what a competitor, supplier or customer is expected to do?

Game theory helps Business Economics students move beyond one-firm optimisation. The objective is not to turn the course into a mathematics elective, but to give lecturers a disciplined way to teach credible threats, commitment, retaliation, coordination and repeated interaction.

What this concept covers

• Players, strategies, payoffs and best responses.
• Dominant strategies and Nash equilibrium.
• Sequential games, commitment and first-mover effects.
• Repeated games, tacit coordination and reputation.
• Bargaining, entry deterrence and strategic investment.

Learning outcomes

By the end of this concept, students should be able to:

• Construct a simple payoff matrix from a business problem.
• Identify best responses and Nash equilibrium.
• Evaluate whether a threat or commitment is credible.
• Explain how repeated interaction can change a one-period recommendation.

Supports the course outcomes most directly related to this part of the decision lifecycle.

How to teach it

• Translate a familiar price war into a 2x2 payoff matrix.
• Have students state whose payoff changes when an assumption changes.
• Use a sequential entry game to distinguish threats from credible commitments.
• Keep the focus on managerial implications and evidence, not notation for its own sake.

Case-style example

RideLink and RapidGo can each keep fares stable or offer a 15% discount. If both keep fares stable, quarterly profit is £12 million each. If one discounts and the other does not, the discounter earns £15 million and the other £6 million. If both discount, each earns £8 million. Students identify best responses and the Nash equilibrium, then compare the one-shot result with a repeated-market argument for maintaining price discipline. Students discover why individually rational actions can produce a worse joint outcome and why repeated interaction changes strategic incentives.

Where students struggle

Students can often locate an equilibrium mechanically but struggle to explain whether the payoff assumptions are realistic, whether a threat is credible or how repetition changes behaviour.

Reading and a quick check

Use Baye and Prince, Chapter 10, and Brown and MacKay (2023) as a modern pricing application. Quick check: change the mutual-discount payoff to £5 million and ask whether the equilibrium changes.

Applied teaching activity

A two-round pricing game with confidential payoff updates makes the concept applied without needing a dedicated simulation.

Where it leads

The course then widens from firm-to-firm interaction to the macroeconomic and institutional environment that can shift demand, costs and investment conditions for every competitor at once.

Central question: Which external economic and institutional conditions are material enough to change a business decision?

Business Economics should connect macroeconomics to the operating decisions managers actually make. Growth, inflation, rates, exchange rates and policy matter because they change demand, financing costs, input prices and risk. PESTLE provides a disciplined way to widen the lens beyond macro variables without turning the session into a list of headlines.

What this concept covers

• GDP growth, business cycles and sector sensitivity.
• Inflation, interest rates and financing conditions.
• Unemployment, wages and labour-market pressure.
• Political, social, technological, legal and environmental conditions alongside economic variables.
• Materiality, scenario analysis and the distinction between background context and decision-changing evidence.

Learning outcomes

By the end of this concept, students should be able to:

• Translate a macroeconomic change into business-level effects.
• Apply PESTLE without double-counting factors.
• Weight external conditions by materiality to a specific decision.
• Defend a market-entry or investment recommendation under uncertain external conditions.

Supports the course outcomes most directly related to this part of the decision lifecycle.

How to teach it

• Start with one business decision and ask how a rate or inflation shock reaches cash flow.
• Require PESTLE claims to include a mechanism and a source.
• Ask opposing teams to weight the same facts differently.
• Use scenarios rather than point forecasts so students learn to work with uncertainty.

Case-style example

VoltEra is considering a £180 million assembly plant in Country K. GDP is forecast to grow 5%, imported vehicles face a 25% tariff, local-currency volatility has been 12% annually, EV subsidies cover 8% of purchase price and charging infrastructure is expanding 30% a year. A new election could change the subsidy scheme. Students weight six PESTLE factors to 100%, score each from 1 to 10, then compare an entry-now case with a delay case. Students discover that identical facts can yield different decisions when materiality and irreversibility are judged differently.

Where students struggle

Students tend to collect too many facts, confuse PESTLE with industry competition, or treat macro forecasts as certain rather than scenario inputs.

Reading and a quick check

Use Sloman et al., Chapters 26-32, and Juhász, Lane and Rodrik (2024). Quick check: ask which factor should receive less weight if the plant can be leased rather than built irreversibly.

Where a simulation fits

The PESTLE Analysis Simulation fits here because students assess the same live market-entry evidence from Growth Strategy and Risk Management perspectives, weight the six factors to 100%, negotiate scores and commit to enter, delay or do not enter.

Where it leads

External conditions create incentives for policy intervention, regulation and competition enforcement, which the next concept examines explicitly.

Central question: When should government intervene in markets, and how should managers assess the business consequences of that intervention?

This concept connects market failure to business strategy. The lecturer should avoid teaching regulation as a list of laws. Students need to see the economic rationale for intervention, the distribution of costs and benefits and how policy changes incentives, prices, entry and innovation.

What this concept covers

• Externalities, public goods and information problems.
• Taxes, subsidies, standards and quantity controls.
• Competition policy, merger review and abuse of market power.
• Regulatory incidence and unintended consequences.
• Industrial policy and the interaction between firm strategy and public objectives.

Learning outcomes

By the end of this concept, students should be able to:

• Identify the market failure a policy is intended to address.
• Estimate how a tax, subsidy or rule changes private incentives.
• Compare efficiency, distribution and implementation trade-offs.
• Evaluate a regulatory or competition-policy response from multiple stakeholder perspectives.

Supports the course outcomes most directly related to this part of the decision lifecycle.

How to teach it

• Begin with a measurable externality and make students separate private from social cost.
• Have one group defend intervention and another test incidence and unintended effects.
• Use current competition-policy debates but anchor them in stable economic mechanisms.
• Ask students what evidence would show the policy worked rather than simply whether they agree with it.

Case-style example

GreenStone Cement produces 400,000 tonnes a year, earns £22 contribution per tonne before carbon cost and emits 0.70 tonnes of CO2 per tonne of cement. A proposed carbon charge is £70 per tonne of CO2, while a cleaner kiln cuts emissions by 40% but raises non-carbon cost by £12 per tonne. Students compute private cost under both technologies, then compare a firm-profit response with a social-cost argument for regulation. Students discover that policy can change the profit-maximising technology even when demand is unchanged.

Where students struggle

Students often jump from “market failure exists” to “regulation is good” without analysing incidence, enforcement, behavioural response or the possibility that a policy creates new distortions.

Reading and a quick check

Assign Gilbert (2023) and Juhász, Lane and Rodrik (2024). Quick check: calculate the carbon price at which the cleaner kiln becomes privately cheaper.

Applied teaching activity

Use a policy memo in which students must recommend one instrument, identify who bears the cost and state two measurable indicators for post-policy evaluation.

Where it leads

After analysing markets and policy, the course returns inside the firm to decisions about products, contribution and scarce internal resources.

Central question: How should managers combine cost behaviour, contribution, operating risk and competing functional priorities when allocating scarce resources?

This concept is the bridge between economic reasoning and internal management information. It should not become a repeat of a managerial-accounting course. The economic emphasis is on incremental value, capacity, opportunity cost and how different functions can rationally prioritise different measures.

What this concept covers

• Contribution margin, break-even and margin of safety as decision tools.
• Cost-volume-profit logic and operating leverage.
• Incremental versus allocated cost in product choices.
• ROI, NPV and the danger of optimising one metric.
• Resource allocation across competing opportunities and functional objectives.

Learning outcomes

By the end of this concept, students should be able to:

• Interpret contribution and break-even alongside economic demand.
• Compare product choices using more than one performance measure.
• Allocate a constrained budget while stating the opportunity cost of rejected options.
• Explain why CFO, operations and commercial perspectives may rank the same projects differently.

Supports the course outcomes most directly related to this part of the decision lifecycle.

How to teach it

• Connect every metric to a decision consequence.
• Give students conflicting signals: high contribution but high fixed exposure, or high NPV but operational risk.
• Ask them to write the rule they used to rank opportunities.
• Debrief differences between technically correct calculations and defensible economic judgement.

Case-style example

SonicWave has three products. Pulse sells 60,000 units at £80 with £48 variable cost and £1.4 million fixed cost; Echo sells 45,000 at £110 with £62 variable cost and £1.6 million fixed cost; Arc sells 25,000 at £160 with £90 variable cost and £1.1 million fixed cost. Students compute contribution and break-even for each, then allocate a £2 million marketing budget with different growth assumptions. Students discover that the highest unit contribution need not be the strongest portfolio choice once volume, fixed exposure and incremental investment are considered.

Where students struggle

Students may treat a single accounting metric as the decision, ignore opportunity cost between projects or assume that a functional ranking is universally correct.

Reading and a quick check

Use Sloman et al., Chapters 9-10 and 19. Quick check: ask which product is most exposed if volume falls 20% and why.

Where a simulation fits

The Managerial Accounting Simulation is a secondary fit. Students work individually through product profitability and a constrained capital allocation, connecting contribution, break-even, ROI and NPV to a decision rather than treating each metric as an isolated calculation.

Where it leads

Once students can allocate resources using operating economics, they are ready to make longer-horizon investment decisions under uncertainty.

Central question: Which investments create economic value when cash flows, timing, risk and capital constraints differ?

Capital budgeting belongs in Business Economics because it converts opportunity cost across time into a resource-allocation decision. The lecturer should keep NPV central while showing why IRR, payback, strategic options, risk and capital rationing can produce genuine disagreement.

What this concept covers

• Incremental cash flow and the time value of money.
• NPV, IRR, profitability index and payback.
• Discount rates as opportunity-cost and risk assumptions.
• Sensitivity, scenario analysis and real-option intuition.
• Capital rationing and portfolio choice under a fixed budget.

Learning outcomes

By the end of this concept, students should be able to:

• Calculate and interpret core capital-budgeting measures.
• Explain conflicts between NPV, IRR and payback.
• Test the sensitivity of a recommendation to demand, cost and discount-rate assumptions.
• Allocate scarce capital across projects to maximise defensible value.

Supports the course outcomes most directly related to this part of the decision lifecycle.

How to teach it

• Use projects with conflicting rankings rather than one obviously correct answer.
• Ask students to identify which cash flows are incremental and which are sunk.
• Separate calculation accuracy from the quality of the recommendation.
• Introduce capital rationing so students must consider portfolios, not projects in isolation.

Case-style example

NovaPrint can invest in Project A for £4 million with cash inflows of £1.6 million for four years, or Project B for £6 million with £2.2 million for four years. The discount rate is 10%, but B also requires £1 million of working capital recovered in year four. A £7 million capital ceiling prevents funding both in full. Students compute NPV and IRR, then compare a value-maximising decision with a liquidity-and-risk argument for A. Students discover why project ranking depends on incremental cash flows, constraints and the objective being maximised.

Where students struggle

Students often accept IRR because it is intuitive, mishandle working capital or timing, and fail to distinguish an attractive individual project from the best constrained portfolio.

Reading and a quick check

Use Sloman et al., Chapter 19. Quick check: ask how the ranking changes if the discount rate rises to 15% or the working-capital recovery is delayed.

Where a simulation fits

The Capital Budgeting Simulation is a secondary fit after investment appraisal. Each student acts as CFO, evaluates projects using NPV, IRR, profitability index and payback, then allocates a fixed $10 million budget across eight projects.

Where it leads

The final concept integrates the whole course across borders, currencies, trade conditions and a capstone business recommendation.

Central question: How should a business combine market economics, macro conditions, currency risk and trade frictions into one cross-border decision?

The final concept brings the course together. Students have already analysed demand, costs, competition, pricing, macro conditions and investment. Cross-border decisions force them to connect those pieces while acknowledging that exchange rates, trade policy and local market conditions can move in opposite directions.

What this concept covers

• Comparative advantage, trade and the business implications of tariffs.
• Exchange rates, pass-through and transaction exposure.
• Country demand, local cost structures and supply-chain economics.
• Market entry through exporting, licensing, partnership or direct investment.
• Integrated recommendation writing under uncertainty and conflicting evidence.

Learning outcomes

By the end of this concept, students should be able to:

• Translate an exchange-rate movement into revenue or cost exposure.
• Compare export and local-production economics.
• Integrate industry, macro and investment evidence into one recommendation.
• Defend a capstone decision while identifying the assumptions most likely to reverse it.

Supports the course outcomes most directly related to this part of the decision lifecycle.

How to teach it

• Use one cross-border decision rather than separate lectures on trade and FX.
• Require students to trace each macro variable to a line in the business case.
• Ask groups to recommend different entry modes under the same evidence.
• Finish with an oral challenge where students must state what would make them change their recommendation.

Case-style example

OceanLeaf exports £12 million of products to the euro area at €1.10 per £1. A new 8% import tariff is proposed, while local assembly would reduce logistics cost by £1.2 million a year but require £5 million upfront. Management expects euro sales volume to rise 9% if prices are held constant. Students model the effect of a move to €1.03 per £1, the tariff and local assembly, then compare export and investment paths. Students discover that exchange-rate gains can be offset by trade friction, while local investment creates different fixed-risk exposure.

Where students struggle

Students often discuss macro variables narratively without translating them into price, cost, demand or cash-flow effects, or they assume currency movements have a single direction of impact for every firm.

Reading and a quick check

Use Sloman et al., Chapters 23-32 and Juhász, Lane and Rodrik (2024). Quick check: ask which assumption matters most if the firm invoices customers in pounds rather than euros.

Applied teaching activity

Use a capstone executive memo that forces students to combine Five Forces, PESTLE, unit economics and investment analysis without treating any one framework as the answer.

Where it leads

This closes the course. Students should now be able to use economics as a decision discipline: state a mechanism, quantify what can be quantified, expose assumptions and defend a choice.

10-week course structure

A 10-session version should compress without dropping the decision lifecycle. Combine foundations with demand, integrate costs with internal allocation, and make Five Forces and PESTLE the two main applied anchors. Keep pricing, policy and capital allocation because they are where students move from description to judgement.

14-week course structure

A 14-session version creates room to separate Five Forces from the application workshop, distinguish pricing from game theory, and give more space to simulation debrief and capstone defence. Use the additional sessions for deeper evidence, not simply more theory.

The Porter's Five Forces Simulation places students in BrewSphere's unresolved decision about entering the U.S. premium café market. Growth and Risk teams work from a common market-entry question but different role intelligence. They score new entrants, supplier power, buyer power, substitutes and rivalry, explain the evidence behind each score, then bring the analysis into an Investment Committee where the recommendation must be Go, Conditional Go or Reject.

Why it fits here

By Session 5, students should already know market structure, barriers to entry, switching, concentration and the relationship between competitive pressure and economic profit. That prior knowledge means the activity can focus on materiality, evidence and disagreement rather than teaching the framework from scratch.

What students do

• Review the BrewSphere market-entry mission and Growth or Risk role perspective.
• Score all five forces and support each judgement with a concise evidence-based explanation.
• Compare where the two perspectives disagree about entry barriers, supplier or buyer power, substitutes and rivalry.
• Bring the analysis into an Investment Committee and defend a Go, Conditional Go or Reject decision.
• Review cohort outputs and use Reflection to identify which assumptions, not just which scores, drove different recommendations.

Recommended course placement

• At the end of Session 5 after market structure and Five Forces teaching.
• Across Sessions 5 and 6 when the course has time for a full simulation and separate pricing debrief.
• As a formative market-entry exercise before a summative industry-economics memo.

Knowledge students should have before the simulation

• Market structure and barriers to entry.
• The economic meaning of buyer and supplier bargaining power.
• Substitution and cross-price pressure.
• Rivalry, differentiation and the link from structure to margins.

Delivery format

Suggested debrief questions

• Which force had the strongest link to long-run profitability rather than short-run growth?
• Where did Growth and Risk teams use the same evidence but infer different mechanisms?
• Did any score double-count evidence already captured in another force?
• What single piece of missing evidence would most likely change the market-entry recommendation?
• How would a regulatory change in a PESTLE analysis flow through into one or more of the five forces?

The PESTLE Analysis Simulation asks students to evaluate a live market-entry decision: whether Tesla should commit to building a Gigafactory in India or continue serving the market through imports. Growth Strategy and Risk Management teams see the same core briefing but are tasked with different objectives. Each team scores and weights the six PESTLE factors, then paired teams negotiate factor by factor before committing to enter, delay or do not enter.

Why it fits here

Business Economics students should reach PESTLE only after they can trace macro variables into demand, cost, financing and risk. That makes the six categories an evidence structure rather than a list. The opposing mandates are especially useful for teaching that weighting and materiality are judgement calls that must be defended.

What students do

• Review the common market briefing and role-specific Growth Strategy or Risk Management material.
• Score political, economic, social, technological, legal and environmental factors from 1 to 10.
• Allocate exactly 100 weighting points across the six factors and record a short rationale for every score and weight.
• Meet in paired Approval Committees where opening positions are visible side by side, negotiate factor by factor and react to live developments.
• Commit to enter, delay or do not enter, then compare cohort weighting patterns and where identical evidence produced different conclusions.

Recommended course placement

• Session 8, after the macroeconomic environment and before regulation and policy.
• Inside a two-hour class, or split analysis and Approval Committee across two teaching periods.
• As an applied precursor to a market-entry memo or individual reflection on materiality and role bias.

Knowledge students should have before the simulation

• The six PESTLE categories.
• How growth, inflation, rates, trade policy and technology can affect a business decision.
• The distinction between external-environment analysis and industry competition.
• Basic evidence evaluation and scenario reasoning.

Delivery format

Suggested debrief questions

• Which factor was genuinely material and which was background context?
• Why did the two roles weight identical evidence differently?
• Which score moved most in the Approval Committee and what evidence caused the movement?
• Would the decision change if the investment were reversible rather than a large sunk commitment?
• Which findings belong in PESTLE and which should be moved to an industry-structure analysis?

Grading with the Porter's Five Forces Simulation

Teams analyse BrewSphere’s market-entry environment from Growth or Risk perspectives, score the five forces, provide written reasoning and defend a Go, Conditional Go or Reject decision. The platform output is useful comparative evidence, but team results should sit inside the lecturer’s rubric rather than act as the grade itself.

• Completeness and correct application of all five forces as one industry-attractiveness judgement.
• Quality and specificity of evidence behind each score.
• Economic mechanism linking a force to price, cost, bargaining or profitability.
• Consistency between the analysis and final market-entry recommendation.
• Individual defence or reflection to create attributable evidence and address free-riding.

Grading with the PESTLE Analysis Simulation

Growth Strategy and Risk Management teams score and weight the same six external factors, then negotiate a shared position in an Approval Committee. There is no prescribed correct recommendation, so grading should focus on evidence, materiality and the quality of reasoning.

• Evidence behind each score and weight.
• Whether weights sum to 100 and reflect genuine prioritisation rather than equal treatment.
• Ability to distinguish background context from decision-changing factors.
• Quality of negotiation and whether the final recommendation is consistent with the agreed assessment.
• Individual reflection on role bias, changed assumptions and what would reverse the decision.

Grading with the Managerial Accounting Simulation

This single-player simulation asks each student to calculate product measures, choose among products and allocate a constrained budget through CFO, COO, CMO and CEO perspectives. It is a secondary Business Economics application for internal resource allocation.

• Calculation accuracy for contribution, break-even, margin of safety, ROI and NPV where used.
• Quality of product selection and the explanation of trade-offs.
• Consistency between the evidence available to each executive perspective and the allocation made.
• Quality of the final CEO rationale, especially where functional recommendations conflict.
• Optional individual report after students compare their result with the documented output and cohort.

Grading with the Capital Budgeting Simulation

Each student acts as CFO, appraises competing projects with NPV, IRR, profitability index and payback, then allocates a fixed $10 million budget across eight independent projects. The platform provides calculation and portfolio evidence, but the lecturer should still assess the reasoning.

• Accuracy and interpretation of NPV, IRR, profitability index and payback.
• Quality of project-selection reasoning when measures disagree.
• Recognition of incremental cash flow, risk and discount-rate assumptions.
• Portfolio quality under the $10 million capital constraint and explanation of rejected projects.
• Ability to defend why total NPV is the relevant portfolio objective and identify circumstances where other constraints matter.