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Performance Measurement & the Control Problem

Financial Performance & Management Control - TUHH Institute of Management Accounting & Simulation, Hamburg · part of my Technology Management MBA · study notes for revision.


Chapter 10 closed the costing block: how costs are built up, how a price sits on top of them, and why the time horizon changes the answer. Chapter 11 turns the camera round. Instead of asking “what does this product cost?”, it asks “how do I know whether the people running my divisions are doing a good job, and how do I make them want to do a good job?”. That is performance measurement, and the awkward thing hiding underneath it is the control problem.

Four questions carry the chapter. What is a performance measure, and what types exist? What does decentralisation give a firm, and what does it cost? How can the control problem be described and tackled? And which measures fit which area of the organisation, including the non-financial ones?

The slides are few but the ideas are heavy. Two exercises in particular, the real-estate agent and the ROI bonus puzzle, are the ones I expect to meet again in the exam, because they show that a badly chosen measure does not just fail to inform, it actively steers people the wrong way.

Put simply: a performance measure is a piece of quantitative information, a number, that boils a complicated reality down to something compact, so that the reader learns about the firm’s situation in those aspects that can be expressed numerically. The key verb is condense. A division has thousands of transactions, machines, customers and employees; “ROI 12 percent” throws almost all of that detail away on purpose and keeps one signal.

Complex realitythousands of transactions, machines, people
→condense
One numberROI, error rate, market share
→report fast & concisely
A decisionthe reader acts without a full analysis
What a performance measure does: it trades detail for speed. The loss of detail is deliberate, which is exactly why the choice of measure matters so much.

Where the numbers come from (the basis). Measures are built on the firm’s economic base systems: mainly accounting data (the financial and cost accounts), then process-oriented systems such as operating or production data systems (machine times, rejects, throughput), and only exceptionally on case-based data, a one-off study or survey done for a specific question.

Why bother (the purpose). A measure should report quickly and concisely about an economic aspect that has so many details that nobody could analyse it fully under normal time and resource constraints. Managers do not have the hours to read every invoice; the measure is the summary they can act on.

Measures can be sorted along four independent dichotomies. Any single measure sits somewhere on all four at once.

Local vs global how wide is the view?
  • Local = describes one unit, machine or process: the error rate of one production line
  • Global = describes the whole organisation: group return on assets
Leading vs lagging does it look forward or back?
  • Leading = an early signal of future results: the employee suggestion rate or new-customer rate today hints at tomorrow’s turnover
  • Lagging = reports what has already happened: last year’s profit or ROI
Relative vs absolute a ratio or a raw amount?
  • Relative = one figure divided by another, usually a percentage: ROI as profit over investment
  • Absolute = a plain amount in euros or units: profit of 600,000 euros, headcount of 250
Financial vs non-financial money or something else?
  • Financial = expressed in monetary terms or built from accounting figures: return on equity
  • Non-financial = counts, times, rates of things that are not money: sickness rate, capacity utilisation

Try it on one measure: a division’s ROI is local (one division), lagging (last period’s profit), relative (a ratio) and financial (accounting data). A plant’s capacity utilisation is local, roughly leading (idle capacity now warns of missed output later), relative and non-financial. This four-way sorting comes back in chapter 12, where a balanced scorecard deliberately mixes leading with lagging and financial with non-financial.

3 · Decentralisation and why it creates the control problem

Section titled “3 · Decentralisation and why it creates the control problem”

The organisation structure decides how much of the firm’s decision-making sits at the top and how much is pushed down.

Decentralisation freedom at the bottom
  • Total decentralisation = minimum constraints and maximum freedom for managers at the lowest levels to make decisions
  • Decisions are taken by the people closest to customers, machines and local information; top management is freed for the big picture
Centralisation control at the top
  • Total centralisation = maximum constraints and minimum freedom for lower-level managers
  • Head office decides everything; consistent, but slow, and it ignores the knowledge that sits at the front line

Real firms sit between the two poles, but the moment you move away from total centralisation you buy a problem with your benefit. Freedom to decide is valuable because the local manager knows things head office does not. But that same information gap means head office can no longer see whether the manager uses the freedom for the firm or for himself. This is the chapter’s first lesson in one sentence: because of decentralisation, a firm needs control systems that align managerial behaviour with the firm’s goals. Performance measures and incentives are the main tool for doing that.

Decentralisegive lower-level managers freedom
→information gap
Behaviour may driftown interest, hidden effort
→therefore
Control systemmeasures + incentives to re-align
The logic chain behind the whole chapter. Decentralisation is worth having, but it must be paid for with a control system.

4 · The fundamental control problem - the real-estate agent

Section titled “4 · The fundamental control problem - the real-estate agent”

The lecture makes the control problem concrete with an exercise that has nothing to do with divisions or ROI. You own a house and hire an agent to sell it. What does a control system look like in essence? How would you write a performance contract for the agent? And what can a firm learn, and not learn, from that contract?

You, the ownerwant the highest net price, cannot watch the agent
→hire & write a contract
The agentwants high pay for low effort
→effort is unobservable
Sale priceeffort plus market luck
The essence of every control problem: a principal who cannot see effort, an agent with his own interests, and an outcome that mixes effort with noise.

Think through the contract options. A fixed fee gives the agent no reason to work hard at all. A commission, a percentage of the sale price, looks like the obvious fix: the higher the price, the more the agent earns, so interests seem aligned. But they are aligned only partly. An extra 10,000 euros of price is a lot of money to you and only a few hundred euros of commission to the agent, while the extra viewings and negotiation it takes are weeks of his effort. So a rational agent pushes for a quick sale at a slightly lower price and moves on to the next house. You cannot punish that, because you never observe effort, only the price, and the price also depends on how the market happens to be that month. That mix of unobservable effort, partly aligned incentives and noisy outcomes is the control problem, and section 5 gives it a formal name. The Case corner below works through what does and does not transfer to a firm.

5 · The agency model - the control problem made formal

Section titled “5 · The agency model - the control problem made formal”

The agency model (also principal-agent model, developed in the economics literature by Ross in 1973 and Holmström in 1979) is a formal version of exactly the house-sale story. A principal (owner, head office) hires an agent (manager) whose effort it cannot observe, and writes an incentive contract that pays on observable outcomes. The model’s central result is a trade-off between optimal incentives and efficient risk allocation:

Strong incentives pay on outcomes
  • Tie pay tightly to results and the agent works hard, because effort now pays
  • But results contain noise the agent cannot control (the market, the weather, a supplier failing)
Efficient risk allocation who should carry the noise?
  • A risk-averse agent dislikes pay that swings with luck and demands a premium for carrying it
  • The principal, usually diversified, could carry that risk more cheaply, but a fixed salary kills the incentive

The optimal contract sits between the two: enough outcome-based pay to motivate, not so much that the agent is paid mostly for bearing risk. Around that core result the model gives a set of design principles. In plain words:

PrincipleWhat it says in plain wordsWhat it means for a contract
InformativenessUse every signal that tells you something about the agent’s effort, and strip out signals that only reflect luckBenchmark against peers or the market, so that a good result in a bad year still counts
Incentive intensityMake pay-for-performance stronger when results can be measured well and the agent can really influence themSales staff on commission, a research chemist mostly on salary
Monitoring intensityWhere incentives are strong, monitor and measure more carefully; the two are complements, not substitutesHigh bonus potential goes with tight, audited measurement
Equal compensationIf the agent has several tasks you care about, reward them equally, or the unrewarded ones get neglectedPay only on sales volume and service quality quietly dies
Ratchet effectIf targets are raised after good results, agents learn to hold back today so that tomorrow’s target stays reachableDo not turn this year’s outperformance automatically into next year’s minimum

6 · Broadening the scope - three forms of control

Section titled “6 · Broadening the scope - three forms of control”

Output control, measuring and rewarding results, is only one of three ways a firm can steer behaviour. The slides broaden the scope like this:

Input controlemploy the right people
Who comes inrecruiting, training, culture, values
Works before any decision is taken
Decision controlmake them take the right decisions
How decisions are madeapproval rules, budgets, committees
Works during the decision
Output controlmeasure & reward the right results
What comes outperformance measures + incentives
Works after the fact, via consequences
Three forms of control. Performance measures belong to the third tier, but a sensible firm uses all three and leans on output control less where results are hard to measure.

Output control in detail means two jobs: formulating objectives (the desired results) and designing incentive structures that influence managerial behaviour and lift performance. In short: define the measures, then attach the incentives. The goals chosen should respect two things at once, the principles of motivation (people must be able to influence them and care about them) and organisational relevance (they must matter to the firm). Designing an output control comes down to three choices:

  1. Choice 1 Which performance measures serve as the output goals (ROI? residual income? market share? a mix?).

  2. Choice 2 What target level those measures must reach (a stretch target, last year plus a bit, a peer benchmark?).

  3. Choice 3 How rewards are linked to reaching the target (linear bonus, threshold, cap, relative ranking?).

The next section shows how badly choice 1 can go wrong even when choices 2 and 3 look harmless.

7 · The ROI trap - a measure that steers the wrong way

Section titled “7 · The ROI trap - a measure that steers the wrong way”

The exercise. A division manager decides on investments. Capital costs the firm a WACC of 15 percent. His pay is a fixed salary of 100,000 euros plus a bonus of 50,000 euros multiplied by the average ROI of his division. Four projects are on his desk:

Pay schemePay = 100,000 + 50,000 × average ROI

Projects 200,000 at 50% · 800,000 at 40% · 400,000 at 30% · 300,000 at 20%

Hurdle WACC = 15% - every project clears it

From the firm’s point of view the answer is obvious: all four projects earn more than the 15 percent the capital costs, so all four create value and all four should be taken. From the manager’s point of view it looks different. His bonus depends on the average ROI, so every project with a return below the current average pulls the average down and shrinks his bonus. The best thing he can do for his own wallet is to take only the 50 percent project: average ROI 50 percent, bonus 25,000 euros, total pay 125,000 euros. Adding the 800,000 euro project at 40 percent drops the capital-weighted average to 42 percent and the bonus to 21,000 euros. Each further project makes it worse. So a rational manager rejects 1.5 million euros of value-creating investment.

The lesson the slide states outright: using ROI as a remuneration basis leads to underinvestment. The measure is informative (it correctly says project 1 has the highest return) but it is not goal-congruent (it makes the agent’s optimum differ from the principal’s). The Worked example below has the full numbers and the fix.

Practice leans on a handful of return ratios, all built from financial accounting data. Their definitions are worth knowing by heart, especially which ones add interest back and which do not.

MeasureHow it is computedWhat it tells you
Return on sales (ROS)(profit after interest and tax + interest costs) / turnoverThe operating profit margin: how much of every euro of sales is left as operating profit
Return on equity (ROE)profit after interest and tax / equityHow efficiently the firm turns each unit of shareholders’ equity (net assets, i.e. assets minus liabilities) into profit
Return on assets (ROA)(profit after interest and tax + interest costs) / assetsHow many euros of earnings the firm gets from each euro of assets it controls; also called return on capital
Return on capital employed (ROCE)EBIT / capital employedA development of return on capital: earnings before interest and tax over the capital actually employed
Return on investment (ROI)profit after interest and tax / investmentThe money gained or lost on an investment, realised or not, relative to the amount invested

Two things to notice. ROS and ROA add interest back because they want the return generated by the operations or the assets before the question of how they were financed; ROE deliberately does not, because it measures what is left for the owners after the lenders have been paid. And ROCE, with EBIT on top, is the same idea taken one step further: a pre-financing, pre-tax return on the capital that is really at work.

9 · Measures for every area of the organisation

Section titled “9 · Measures for every area of the organisation”

Performance measures are not only a finance thing. Every organisational area can be given its own, and the slides list examples for five of them:

AreaMeasureHow it is computed
FinancialReturn on investment [%]profit / investment × 100
Capital turnoverturnover / capital invested
Market and customerMarket share [%]turnover / market turnover × 100
Customer acquisition rate [%]number of new customers / number of old customers × 100
ProcessError rate [%]rejects of the period / production of the period × 100
Capacity utilisation [%]actual machine time / possible machine time × 100
EmployeeSickness rate [%]working days lost to illness / yearly working days × 100
Staff turnover [%]employees who left in the period / average headcount × 100
Employee productivity [EUR]profit / average headcount
InnovationInnovation rate [%]turnover with new products / total turnover × 100
Research intensity [%]R&D costs / turnover × 100
Employee suggestion ratenumber of employee suggestions / average headcount

Map them back onto section 2 and the pattern is clear: the financial row is financial and lagging; the market, process, employee and innovation rows are mostly non-financial and often leading. Innovation rate and suggestion rate say something about turnover two years from now; ROI says something about the year that has just ended.

measures = fast, concise overviewdecentralisation needs controlagency theory judges incentivesfinancial dominates, non-financial grows
  • Performance measures let their users get a fast and concise picture of where the organisation stands.
  • Because firms decentralise, they need control systems that pull managerial behaviour back into line with the firm’s goals.
  • Agency theory gives a formal model for judging the incentive effects of those control systems, above all of output controls.
  • In practice financial measures dominate, but they are being complemented more and more by non-financial ones, such as customer- or employee-oriented measures. That is the bridge to chapter 12 and the balanced scorecard.

The ROI trap in numbers. The manager takes projects in order of ROI, highest first. The average ROI is weighted by invested capital (total profit divided by total investment), which is why two projects at 50 and 40 percent average 42 percent and not 45.

ProjectInvestment (EUR)ROIProfit (EUR)Cumulative investment (EUR)Average ROI if taken so farManager’s bonus (50,000 × average ROI)
1200,00050%100,000200,00050.0%25,000
2800,00040%320,0001,000,00042.0%21,000
3400,00030%120,0001,400,00038.6%about 19,300
4300,00020%60,0001,700,00035.3%about 17,600
  • Bonus-maximising choice: project 1 only. Pay = 100,000 + 25,000 = 125,000 euros. Every further project lowers the average and the bonus.
  • Firm-value-maximising choice: all four, because each ROI (50, 40, 30, 20 percent) is above the 15 percent WACC. Total profit 600,000 euros on 1.7 million invested, against a capital charge of 255,000 euros.
  • The gap between the two choices is the goal-congruence failure of ROI as a bonus base.

The fix: pay on residual income instead. Residual income charges each project for the capital it uses and keeps only the surplus. Per project it is (ROI minus WACC) multiplied by the investment:

Residual incomeRI = Profit - WACC × Investment = (ROI - WACC) × Investment

Decision rule Take a project if its RI is positive, i.e. if ROI is above WACC

  1. Project 1: 200,000 × (50% - 15%) = 200,000 × 35% = 70,000

  2. Project 2: 800,000 × (40% - 15%) = 800,000 × 25% = 200,000

  3. Project 3: 400,000 × (30% - 15%) = 400,000 × 15% = 60,000

  4. Project 4: 300,000 × (20% - 15%) = 300,000 × 5% = 15,000

All four residual incomes are positive, so a bonus that is a share of total residual income (345,000 euros for all four) grows with every project the manager accepts. Now the manager’s wallet and the firm’s value point the same way: he wants all four. Note how project 2, the one the ROI scheme made him reject, is the biggest value creator of all.

The real-estate agent, worked through. You want the highest net price for your house. You hire an agent whose effort (how many buyers he calls, how hard he negotiates) you never see. The agent wants the highest pay for the least effort. How do you write the contract?

  • Fixed fee. Zero risk for the agent, zero incentive. He does the minimum.
  • Pure commission (a fixed percentage of the price). Interests are aligned in direction but not in strength. The agent gains a few hundred euros from an extra 10,000 on the price, while the extra weeks of effort cost him a lot. So he prefers a quick sale at a slightly lower price. From his side the contract also carries risk: if the market turns, his pay collapses through no fault of his own, so he will only sign if the expected commission compensates him for that risk.
  • Better designs suggested by the principles. Use informative signals: compare the achieved price with recent sales of similar houses, so that market luck is netted out. Strengthen the incentive above a threshold price (a higher percentage on everything above your reservation price), so that the marginal euro that matters to you also matters to him. Monitor a little (ask for the viewing log) where the incentive is strong.
What a firm can copy transfers
  • The structure itself: owner or head office as principal, manager as agent, effort unobservable, pay on outcomes
  • The trade-off: stronger incentives buy effort but load risk onto the agent
  • Informativeness: benchmark results against peers or the market to filter out luck
  • Incentive intensity: pay more on performance where the result is measurable and controllable
What a firm cannot copy does not transfer
  • The agent has one task with one clear outcome (the price); a manager juggles many tasks, so the equal-compensation principle bites
  • The house sale is a one-off; a manager stays for years, so targets get renegotiated and the ratchet effect appears
  • The house price is observable at once; divisional results arrive late, depend on colleagues and can be gamed through the accounting
  • A manager’s decisions (investments, hiring) have long-term effects that a single-period measure such as ROI does not capture

The exercise is a clean model of the control problem precisely because it strips away everything that makes a firm messy. The messy bits, many tasks, many periods, noisy and delayed measures, are the reason a firm cannot get away with a single commission-style bonus and needs the fuller toolkit of chapters 11 and 12.

TermWhat it means in plain words
Performance measureA number that condenses a complex reality so that one aspect of the firm’s situation can be reported fast and concisely
Local vs global measureDescribes one unit or process, versus the whole organisation
Leading vs lagging measureSignals future results early, versus reports results that have already happened
Relative vs absolute measureA ratio (usually a percentage), versus a raw amount in euros or units
DecentralisationMinimum constraints and maximum decision freedom for managers at the lowest levels; total centralisation is the opposite
Control problemThe principal cannot observe the agent’s effort, only a noisy outcome, so it must design incentives that make the agent choose what the principal wants
Agency (principal-agent) modelThe formal model of that relationship; shows the trade-off between strong incentives and efficient risk allocation
Informativeness principlePut every signal that reveals effort into the contract and filter out pure luck
Incentive-intensity principlePay more on performance when results are measurable and the agent can influence them
Monitoring-intensity principleWhere incentives are strong, measure and monitor more carefully
Equal-compensation principleReward all the tasks you want done equally, or the unrewarded ones are neglected
Ratchet effectRaising targets after good results teaches people to hold back
Input, decision, output controlEmploy the right people; make them take the right decisions; measure and reward the right results
Residual incomeProfit minus a capital charge (WACC times investment); positive whenever ROI beats WACC
  1. Define a performance measure in one sentence and name its three possible data bases and its purpose.
  2. Sort these into the four dichotomies: a division’s ROI, a plant’s error rate, the group’s research intensity, the number of employee suggestions this quarter.
  3. Explain why decentralisation creates the need for a control system, and name the three forms of control a firm can use.
  4. A manager can raise capital at a WACC of 15 percent and is paid 100,000 euros fixed plus 50,000 euros times the average ROI. Projects: 200,000 at 50 percent, 800,000 at 40 percent, 400,000 at 30 percent, 300,000 at 20 percent. Compute his total pay if he takes project 1 only and if he takes projects 1 and 2. Then compute the residual income of each project. Which scheme makes him invest correctly?
  5. State the five design principles of the agency model and give one practical consequence of each.
  6. Write down the formulas for ROS, ROE, ROA, ROCE and ROI, and explain why two of them add interest back.

Next: Performance Measurement Systems & the Balanced Scorecard → - putting single measures together into a system that tells a strategy.