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Types of Information System: TPS, MIS, DSS, EIS, ERP and CRM Compared

ICAN Skills, Performance Management. Syllabus area A: Management information systems and data analytics.

16 min read · Updated 8 November 2026

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In this part

A sales clerk records an order, a store keeper records goods received. A payroll officer runs the monthly pay: each is feeding the same kind of system, one that captures routine transactions. A divisional manager reads a monthly report that comes from those transactions. A finance director tries three pricing scenarios on a spreadsheet model.

The managing director opens a screen of five key figures and clicks one to see the detail behind it. Different people, different needs, different systems. This topic explains the main types of information system: transaction processing, management information, office automation, decision support, executive information, expert and knowledge work systems, with enterprise resource planning and customer relationship systems that tie them together.

It shows which management level each serves, what each does well and badly, and how to choose between them. It builds on the information needs at strategic, tactical and operational levels. The next topic covers the social and ethical issues that affect strategy and the management accountant’s role in collecting data about them.

In 30 seconds

A transaction processing system (TPS) records routine transactions in large volumes (sales, purchases, payroll, inventory) and serves operational management. A management information system (MIS) turns that data into routine reports for planning and control, mainly for tactical managers, and helps with structured decisions. Office automation systems handle documents, email and files.

A decision support system (DSS) uses models and data to help with unstructured or semi-structured decisions, such as what-if analysis. An executive information system (EIS) gives senior executives summarised internal and external information, with drill-down to detail. An expert system holds a knowledge base and an inference engine to give expert advice. A knowledge work system helps create and share new knowledge.

An enterprise resource planning (ERP) system integrates the main business functions on one shared database. A customer relationship management (CRM) system holds all customer contacts and data to serve and keep customers. Choose by the level of manager, the type of decision and the cost-benefit result. Full marks come from naming the system, the level and decision it serves, and a business example.

The types of information system

Information systems by management levelStrategic level: executive information system and expert system. Tactical level: management information system and decision support system. Operational level: transaction processing system and office automation. Two bands across all levels: enterprise resource planning on one shared database, and customer relationship management with one view of the customer.Strategic: executive information, expert systemssummaries, drill-down, advice for senior managersTactical: management information, decision supportroutine reports against budget, what-if modelsOperational: transaction processing, office automationorders, stock, payroll, documents, emailEnterprise resource planningone shared database for all functionsCustomer relationship managementone view of every customer

Transaction processing systems (TPS)

A transaction processing system processes routine transactions, often in very large volumes. It is an operational system, used extensively in business and government. Examples are production and purchasing, inventory control, the accounting system and general ledger, receivables and payables, payroll, sales order processing, delivery scheduling, and human resource, employee and training records.

Compared with manual processing, a TPS can handle much larger volumes, is cost-effective, processes much faster, makes fewer errors and stores and files records efficiently.

Small and large business. A small business may run inventory on a stand-alone computer in the store, updated by the store keeper from goods received and goods dispatched notes, with copies handed to the accountant for the general ledger on a separate computer, and the two reconciled monthly.

A large business uses an integrated perpetual inventory system on a central computer connected over a local network, so that when the stores record a receipt, the inventory module updates trade payables, purchases and inventory in the general ledger automatically.

Management information systems (MIS)

A management information system provides information to management, routine or non-routine, by analysing data and converting it into organised information. It produces regular reports for planning and control. Much management information comes from systems that also process transactions: sales reports from a sales order system, financial reports from the general ledger.

Other examples are budgeting systems, budgetary control systems that report variances, cost and management accounting systems and sales analysis systems.

An MIS gives structured information and helps with fairly routine or standard decisions. It is not well suited to complex decisions, and it relies mainly on internal data. In a small organisation it may be little more than spreadsheets updated by hand by the accountant from standard queries on the accounting package, which carries a high risk of error.

In a large one it may be built by a dedicated team, with queries that produce standard monthly reports and integrate financial and management accounting to keep them accurate and consistent.

Office automation systems

These automate office work: word processing, desktop databases, electronic filing, email with an internet link, and groupware for team working. Files may be held on the device, on a storage stick, in the cloud (which needs an internet connection) or on a central computer reached over the network. They are mainly operational.

Decision support systems (DSS)

A decision support system helps managers with unstructured or semi-structured problems, where an MIS helps with structured ones. It has data analysis models and access to a database, and shows several alternatives or possible outcomes. Typical models are forecasting models, with sensitivity or statistical analysis, and planning models that let the user draft plans and test them. A spreadsheet model is a form of DSS.

A DSS may be tactical (switching from holding stock to just-in-time) or strategic (whether to close a branch). It usually combines general ledger data with external data relevant to the decision, and is more common in larger organisations.

Executive information systems (EIS)

An executive information system, also called an executive support system, is for senior executives. It draws on data from inside and outside the organisation and analyses it in many ways so that executives get selected information on demand. Its key feature is summary information, for example performance against critical success factors and key performance indicators, with the ability to drill down to detail.

It presents information as graphs, bar charts and pie charts as well as tables, and often as a dashboard. Access is usually restricted because the data is sensitive.

Expert systems and knowledge work systems

An expert system is a form of artificial intelligence that gives expert information, advice or possible solutions in one area of expertise: legal advice, investment advice, medical diagnosis, tax advice.

Its components are a knowledge base of facts and rules, a knowledge acquisition program that keeps the base up to date, an inference engine that applies reasoning to the user’s input. An explanation program that shows how it reached its conclusion. Experts use it to confirm opinions or to get suggestions.

A knowledge work system helps create new knowledge or add it to the organisation, for example computer-aided design systems and virtual reality, or a central database where staff in different cities record new materials and practices and receive alerts on entries that interest them.

Enterprise resource planning (ERP) systems

An enterprise resource planning system is an integrated suite of modules for finance, purchasing, inventory, production, sales, human resources and other functions, all working on one shared database. An entry made once, such as goods received, updates every module that is affected. Its benefits are one consistent set of data, no re-keying or reconciling of separate systems, real-time information, better control of budgets and forecasts, and common processes across sites.

Its problems are high licence, hardware and implementation cost, long and complex installation, disruption, the temptation to heavily customise it, the need to change business processes and staff habits, user resistance, and dependence on one supplier and one system. ERP implementations commonly overrun their budgets and timescales.

Customer relationship management (CRM) systems

A customer relationship management system records every contact with and fact about a customer (enquiries, orders, complaints, payments, preferences) in one place, available to sales, marketing and service staff. It supports targeted marketing, better and faster service, customer retention and customer profitability analysis, especially when combined with activity based costing to find the cost to serve each customer.

Its problems are poor data quality, cost, low staff take-up, and the legal duty to protect the personal data it holds.

Data warehouses and the effect of technology on performance management

A data warehouse is a database used for reporting and analysis, loaded from the operational systems. It typically has a staging layer that stores raw data, an integration layer where data is combined and organised into hierarchies, and an access layer from which users retrieve it. A unified corporate database that combines purchasing with inventory, for example, improves budgeting, forecasting, planning and reporting.

  • Instant access. Managers search a central database at any time from any location with an internet connection, instead of waiting for routine reports.
  • Remote and automatic input. Operating staff, not specialist finance staff, enter data, often automatically: bar-code readers at a till record the sale and reduce inventory at the moment of sale, with few errors.
  • External data. Free from government and news websites or by subscription, with models for planning, forecasting and sensitivity analysis.
  • Competitive advantage. Better information, faster service and lower cost can give an advantage, and even when they do not, a business must keep up with rivals. Systems should be reviewed continually and competitors’ initiatives watched.
  • E-business. Electronic information exchange should redesign processes, not merely automate them, and it changes markets and relationships with suppliers and customers.

Comparing the systems, and choosing

  • Transaction processing: operational; routine transactions; internal data; detailed; high volume; outputs are updated records and documents.
  • Management information: tactical (some operational); structured, routine decisions; mainly internal data; regular reports and variances.
  • Decision support: tactical and strategic; unstructured and semi-structured decisions; internal and external data plus models; what-if answers and alternatives.
  • Executive information: strategic; senior executives; summarised internal and external data; dashboards with drill-down.
  • Expert: any level where specialist advice is needed; knowledge base and rules; advice with an explanation.
  • Enterprise resource planning: all levels and functions; one database; integrated processes and real-time data.
  • Customer relationship management: sales, marketing and service; customer data; customer profitability and retention.

To choose, ask:

  • who will use it and at what level
  • what type of decision it must support (structured or not)
  • what data it needs (internal or external, detailed or summarised)
  • what it will cost and bring, using the cost-benefit methods in the first topic
  • what risks it brings, including security, user resistance and data protection

The cost of the system must not exceed the benefit, which is the quality of economy again.

Data protection duties in enterprise and customer systems

ERP human resource modules and CRM systems hold personal data of staff and customers, so the Nigeria Data Protection Act 2023 applies.

In practice the organisation needs a lawful basis for the processing, must collect only the data it needs, must keep it secure, must tell the Nigeria Data Protection Commission of a risky breach within 72 hours, and must respect the individual’s rights, including the right to object to processing for direct marketing. Where a cloud ERP or CRM stores data in another country, the cross-border transfer rules apply.

Organisations of major importance must also register with the Commission and file an annual compliance audit return by 31 March under the 2025 implementation directive, which took effect on 19 September 2025. Treat these as running costs and risks when appraising a system.

Sources and references

  • Nigeria Data Protection Act 2023.
  • Nigeria Data Protection Commission, General Application and Implementation Directive 2025, in force from 19 September 2025.

These points are stated as at 6 November 2026.

Appraising a system and analysing customers

Questions on these systems usually ask for a classification or a cost-benefit appraisal, and sometimes for customer profitability from CRM data. The layouts are:

  1. Net annual benefit. Total annual benefits − running costs.
  2. Payback. Initial cost ÷ net annual benefit.
  3. NPV. Net annual benefit × annuity factor − initial cost.
  4. Break-even net benefit. Initial cost ÷ annuity factor; the shortfall or margin is the difference from the expected net benefit.
  5. Profit per customer. Revenue × gross margin % − cost to serve. Total profit = profit per customer × number of customers.

Annuity factors are shown to four decimal places, money is in ₦ million to two decimal places unless stated, and each answer is rounded once, at the end.

Worked examples

Example 1: is the ERP system worth it? Zenith Bottlers Limited is considering an ERP system. The initial outlay is licences ₦25m, implementation ₦30m, training ₦8m and data migration ₦7m, all at the start. Running costs are ₦9.0m a year. Each year the system will save ₦5.0m of inventory holding cost, ₦12.6m of staff cost (three posts), earn ₦8.0m of extra contribution from fewer stock-outs and save ₦2.4m of correction work.

The life is six years and the cost of capital is 18%. Required: net annual benefit, payback, NPV, the break-even net benefit and the advice.

  1. Initial outlay.
    25 + 30 + 8 + 7 = ₦70.00m.
  2. Net annual benefit.
    (5.0 + 12.6 + 8.0 + 2.4) − 9.0 = ₦19.00m.
  3. Annuity factor. Six years at 18% = 3.4976.
  4. Present value.
    19.00 × 3.4976 = ₦66.45m.
    NPV = 66.45 − 70.00 = −₦3.55m.
  5. Payback.
    70 ÷ 19 = 3.68 years.
  6. Break-even net benefit.
    70 ÷ 3.4976 = ₦20.01m a year, which is ₦1.01m a year more than forecast, or 5.3% more.
  7. Advice. On the measured benefits the system does not earn 18%. But the gap is small, and the benefits not measured (one consistent set of data, faster month-end close, better decisions, better customer service) could easily be worth ₦1.01m a year. The company should try to value them, check the cost estimate, which is the main risk in ERP projects, and decide on that basis.

Example 2: customer profitability from CRM data. Delta Pharma Distributors has three customer segments. Hospitals: 400 customers, revenue ₦1.8m each a year, gross margin 35%, cost to serve ₦0.52m each.

Retail pharmacies: 1,200 customers, revenue ₦0.6m, margin 30%, cost to serve ₦0.21m. Wholesalers: 300 customers, revenue ₦3.2m, margin 40%, cost to serve ₦0.70m. Required: profit per customer and in total for each segment, and the effect on total profit if online ordering cut the cost to serve a pharmacy by ₦0.05m.

  1. Hospitals.
    1.8 × 35% = 0.63
    less 0.52 = ₦0.11m each
    × 400 = ₦44.0m.
  2. Pharmacies.
    0.6 × 30% = 0.18
    less 0.21 = −0.03 each, a loss of ₦0.03m
    × 1,200 = −₦36.0m.
  3. Wholesalers.
    3.2 × 40% = 1.28
    less 0.70 = ₦0.58m each
    × 300 = ₦174.0m.
  4. Total.
    44.0 − 36.0 + 174.0 = ₦182.0m.
  5. Online ordering.
    Cost to serve a pharmacy falls to 0.16, so profit per pharmacy is −0.03 + 0.05 = +0.02
    × 1,200 = ₦24.0m.
    Total profit becomes 44.0 + 24.0 + 174.0 = ₦242.0m, an improvement of ₦60.0m.
  6. Comment. Without the CRM data the pharmacy loss would be hidden in the average. Other options are a minimum order size, a delivery charge, or a price increase.

Expect variants: a different life, benefits that start in year 2, a choice between two systems, or a question that gives a scenario and asks which type of system suits it.

Common mistakes

  • Confusing a TPS with an MIS. The TPS records the transactions; the MIS turns the data into reports for managers.
  • Saying a DSS replaces the manager. It supports a decision; the manager still decides.
  • Giving an executive information system detailed, daily data. Its purpose is summary with drill-down.
  • Naming a system without a level or an example. Always say who uses it and for what decision.
  • Treating ERP as only a benefit. Cost, complexity and disruption are central to the exam answer.
  • Ignoring data protection in a CRM or human resource system.
  • Averaging customers. Profit by segment can hide a loss-making group.

Quick revision

  • TPS: routine, high volume, operational, faster, fewer errors, cheaper than manual. MIS: routine reports for planning and control, structured decisions, tactical, mainly internal data.
  • DSS: models for unstructured or semi-structured decisions, what-if. EIS: senior executives, summary, drill-down, internal and external. Expert system: knowledge base, inference engine, explanation.
  • Office automation, knowledge work systems. Data warehouse: staging, integration and access layers.
  • ERP: integrated modules, one database; CRM: one view of the customer, customer profitability.
  • Technology effects: instant access, remote and automatic input, external data, competitive advantage, e-business.
  • Choose by level, decision type, data, cost-benefit and risk. Nigeria Data Protection Act 2023 applies to personal data held.

How the marks are earned

  • Describe or distinguish: a definition, the management level, the type of decision and an example for each system, about two marks per system.
  • State advantages: one mark each, tied to the business.
  • Appraise a system: the layout, each figure, the break-even or sensitivity and a conclusion with non-financial factors.
  • Discuss risks: cost, implementation, user resistance, security and data protection, with an example.

Practice questions

These are original questions, written in the style of the Skills examination. Work each one before you open the answer.

Recall check: multiple choice

Question 1. A transaction processing system:

  1. Gives senior executives a dashboard
  2. Processes routine transactions, often in large volumes
  3. Gives expert legal advice
  4. Models what-if scenarios
Show the answer

B. It is an operational system.

Question 2. Which is an example of a transaction processing system?

  1. A forecasting model
  2. A dashboard for the board
  3. A knowledge base for tax advice
  4. A payroll system
Show the answer

D. Payroll, inventory and sales order systems are transaction processing systems.

Question 3. A management information system mainly produces:

  1. Routine reports for planning and control from mostly internal data
  2. Expert advice from a knowledge base
  3. Real-time sensor data
  4. Word processed letters
Show the answer

A. It suits structured, routine decisions.

Question 4. A decision support system is most suited to:

  1. Recording each sale
  2. Storing letters
  3. Unstructured or semi-structured decisions, using models
  4. Paying staff
Show the answer

C. It shows alternatives and outcomes, for example through sensitivity analysis.

Question 5. The key feature of an executive information system is:

  1. High-volume data entry
  2. Summarised information with the ability to drill down
  3. Automatic payroll
  4. A knowledge base of rules
Show the answer

B. Senior executives see summaries and open the detail when needed.

Question 6. Which component applies reasoning to the user’s input in an expert system?

  1. The explanation program
  2. The knowledge acquisition program
  3. The inference engine
  4. The printer
Show the answer

C. The inference engine draws on the knowledge base to respond.

Question 7. An enterprise resource planning system:

  1. Integrates the main business functions on one shared database
  2. Is a single stand-alone spreadsheet
  3. Replaces all managers
  4. Is only used for email
Show the answer

A. An entry made once updates every module affected.

Question 8. A customer relationship management system is mainly used to:

  1. Calculate depreciation
  2. Run the payroll
  3. Record journal entries
  4. Hold customer contacts and data to serve and keep customers
Show the answer

D. It also supports customer profitability analysis.

Question 9. A main risk of implementing an ERP system is:

  1. Too little data
  2. No need for training
  3. High cost and disruption, with possible overruns
  4. Fewer reports
Show the answer

C. Cost, complexity and user resistance are the usual problems.

Question 10. A data warehouse is:

  1. A database used for reporting and analysis, loaded from operational systems
  2. A store for physical goods
  3. A type of keyboard
  4. A spreadsheet macro
Show the answer

A. It has staging, integration and access layers.

Section B style: written questions

Question 11 (10 marks). (a) Describe a transaction processing system, a management information system and a decision support system, stating the management level each serves and an example. (6 marks) (b) State FOUR advantages of a transaction processing system over a manual system. (4 marks)

Question 12 (15 marks). Nasco Foods Limited plans an ERP system. The initial cost is ₦48m. Running costs are ₦6.5m a year and benefits are ₦24.5m a year for five years. The cost of capital is 20% (annuity factor for five years: 2.9906).

(a) Calculate the net annual benefit. (3 marks) (b) Calculate the payback period. (3 marks) (c) Calculate the net present value. (4 marks) (d) Calculate the net annual benefit at which NPV is zero, and the percentage by which the expected net benefit could fall before that point. (3 marks) (e) State TWO factors other than the figures that the company should consider. (2 marks)

Question 13 (20 marks). A bank’s CRM system gives the following data for three segments. Retail: 2,000 customers, revenue ₦0.45m each a year, margin 28%, cost to serve ₦0.15m each. SME: 500 customers, revenue ₦2.4m, margin 32%, cost to serve ₦0.62m. Corporate: 80 customers, revenue ₦15.0m, margin 18%, cost to serve ₦2.1m.

(a) Calculate the profit per customer and the total profit for each segment, and the overall total. (9 marks) (b) Advise the bank on the retail segment. (4 marks) (c) Discuss the benefits of a CRM system to the bank and the risks it brings, including data protection. (7 marks)

Model answers

Show the model answer to Question 11

(a) A transaction processing system records routine transactions in large volumes and serves operational management: for example the payroll or inventory system (2). A management information system converts data into routine reports for planning and control, mainly for tactical managers, and suits structured decisions: for example a monthly budget variance report (2).

A decision support system uses models and data to help with unstructured or semi-structured decisions at tactical or strategic level: for example a spreadsheet model testing whether to close a branch (2).

(b) Any four: handles much larger volumes; cost-effective; much faster; fewer errors; more efficient storage and filing of records (1 each).

Show the model answer to Question 12

(a) 24.5 − 6.5 = ₦18.0m (3).

(b) 48 ÷ 18.0 = 2.67 years (3).

(c)

  1. 18.0 × 2.9906 = 53.83
  2. less 48.00 = +₦5.83m (4).

(d)

  1. Break-even net benefit 48 ÷ 2.9906 = ₦16.05m.
  2. The net benefit can fall by (18.0 − 16.05) ÷ 18.0 = 10.8% before NPV reaches zero (3).

(e) Any two: risk of overrun in cost and time; disruption during installation; user resistance and training; dependence on one supplier; data protection; benefits that cannot be measured (1 each).

Show the model answer to Question 13

(a)

  1. Retail: 0.45 × 28% = 0.126
  2. less 0.15 = −0.024 each, a loss of ₦0.024m
  3. × 2,000 = −₦48.0m (3).
  4. SME: 2.4 × 32% = 0.768
  5. less 0.62 = ₦0.148m each
  6. × 500 = ₦74.0m (3).
  7. Corporate: 15.0 × 18% = 2.70
  8. less 2.10 = ₦0.6m each
  9. × 80 = ₦48.0m (2).
  10. Total ₦74.0m (1).

(b) Retail loses ₦48.0m, so the other two segments are subsidising it. Options: raise charges or require minimum balances, move retail customers to cheaper channels such as mobile and agent banking to cut the cost to serve, cross-sell higher-margin products, or accept the loss if the segment feeds the SME and corporate business or serves a wider purpose. Test each option against the change in profit (4).

(c) Benefits: one view of each customer; targeted marketing and cross-selling; faster, better service; retention; customer profitability analysis as above; better forecasting of demand.

Risks: cost and overruns; poor data quality leading to wrong decisions; low staff take-up; security of sensitive financial data; the Nigeria Data Protection Act 2023, which requires a lawful basis, security, a data protection officer where required, breach notice to the Commission within 72 hours and respect for the right to object to direct marketing; and dependence on the supplier (any seven points, one mark each) (7).

Pathfinder on TPS, MIS, EIS, ERP and CRM systems compared

These are the ICAN Pathfinder questions that test this topic. ICAN owns the questions and the suggested solutions, so we point you to them and do not copy them. Open your Pathfinder, attempt each question under exam conditions, then check your answer against the notes above.

May Diet, 2024: Question 2 (20 marks)

Lean information system principles; why a cost system fails lean needs; changes to make (extension of information systems).

Revise first: The types of information system

Source: ICAN Pathfinder, Performance Management. Diets covered: March/July Diet, 2020 to May Diet, 2026. All 13 diets in the Pathfinder are mapped.

Spotted a mistake? Tell us and we will check it.

Where this fits

See every past question on Performance Management and the topic each one tests in the Pathfinder question finder.

This course builds on Management Accounting. After it, move on to Strategic Financial Management.

All Performance Management topics

You are reading topic 4 of 77.

  1. Information systems in organisations: role, costs and benefits01
  2. Internet, intranet, wireless technology and networks in business02
  3. Information needs at strategic, tactical and operational levels03
  4. TPS, MIS, EIS, ERP and CRM systems compared04 here
  5. Social and ethical issues in strategy and the management accountant’s data role05
  6. Big data principles and the big data pyramid06
  7. Big data, data mining and analytics: uses, benefits, challenges and risks07
  8. Activity based costing: cost pools, cost drivers and calculations08
  9. Activity based costing compared with traditional absorption costing09
  10. Target costing: principles and calculating the target cost10
  11. Managing the target cost gap and target costing in services11
  12. Life cycle costing: product life cycle stages and costs12
  13. Life cycle cost and profit calculations, and the benefits of life cycle costing13
  14. Throughput accounting: theory of constraints and the throughput accounting ratio14
  15. Environmental management accounting and sustainability in business15
  16. Environmental costs: methods, challenges and the management accountant’s role16
  17. Relevant costs and revenues, and opportunity cost17
  18. Relevant costs for specific decisions: materials, labour, equipment and overheads18
  19. Break-even analysis and margin of safety for Skills level decisions19
  20. Contribution to sales ratio, target profit and target revenue20
  21. Break-even charts and profit-volume charts21
  22. Multi-product CVP analysis and its limitations22
  23. Limiting factors: allocating a single scarce resource23
  24. Linear programming: formulation and graphical solution24
  25. Linear programming: slack and shadow prices25
  26. Price elasticity of demand and the factors that influence price26
  27. Demand and cost functions: profit-maximising price and output27
  28. Cost-based pricing: cost-plus and relevant-cost pricing28
  29. Market-based pricing: skimming, penetration and other strategies29
  30. Make-or-buy and outsourcing decisions30
  31. One-off contracts, shutdown and further processing of joint products31
  32. Reducing uncertainty: research, simulation and sensitivity analysis32
  33. Expected values and decision rules: maximax, maximin and minimax regret33
  34. Decision trees for multi-stage decisions34
  35. Value of perfect and imperfect information35
  36. Budgetary systems and types of budget: choosing the right one36
  37. Preparing fixed and flexed budgets37
  38. Rolling, activity-based, functional and master budgets38
  39. The beyond budgeting model: benefits and problems39
  40. Participation, negotiation and ethics in budgeting40
  41. High-low method and cost estimation for budgets41
  42. Correlation, regression and time series for budgeting and forecasting42
  43. Learning curve: learning rate and learning effect43
  44. Learning curve in budgeting: steady state and limitations44
  45. Standard costing: uses, how standards are set and types of standard45
  46. Basic variances: material, labour and idle time46
  47. Material mix and yield variances47
  48. Labour mix and yield variances48
  49. Sales mix and quantity variances49
  50. Planning and operational variances: revised budget, sales, market size and market share50
  51. Planning and operational variances for materials and labour51
  52. Overhead variances and reconciling budgeted and actual profit at Skills level52
  53. Behavioural effects of variances: motivation, JIT and TQM53
  54. Profitability ratios and financial performance measures54
  55. Liquidity, solvency and efficiency ratios55
  56. Non-financial performance indicators56
  57. Short-termism and financial manipulation of results57
  58. Sustainability and ESG performance measures58
  59. The balanced scorecard59
  60. The Fitzgerald and Moon building block model60
  61. Performance measurement in not-for-profit organisations61
  62. Value for money as a public sector objective62
  63. Divisional performance: return on investment and residual income63
  64. Economic value added (EVA)64
  65. Transfer pricing methods and the optimal transfer price65
  66. Transfer pricing: problems, tax and repatriation of funds66
  67. Value chain analysis for performance management67
  68. Complex business structures: alliances, joint ventures and supply chains68
  69. The performance pyramid69
  70. Value-based management70
  71. Corporate failure and life cycle issues71
  72. The Z-score and other quantitative failure models72
  73. The Argenti model and qualitative failure prediction73
  74. Preventing corporate failure and performance improvement strategies74
  75. Current developments in management accounting75
  76. Benchmarking and target setting in the public sector76
  77. The changing role of the management accountant and contemporary issues77
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