IT Costing, Budgeting & Procurement

Chapter 2
IT Cost Classification, Allocation and Accounting

Post Graduate Program in Information Technology
IT Costing, Budgeting & Procurement   •   Post Graduate

IT Cost Classification, Allocation and Accounting

Introduction and Context

Information technology costs are no longer limited to hardware purchases and software licences. Modern organisations incur expenditure on cloud consumption, data platforms, cybersecurity, specialist labour, managed services, networks, facilities, compliance, digital products and technology-enabled transformation. The managerial challenge is not merely to record expenditure, but to understand what resources are consumed, by whom, for what purpose, and with what economic benefit.

Cost classification and allocation provide the analytical foundation for IT budgeting, procurement, pricing, investment appraisal and service governance. Poor classification can make a profitable service appear expensive, hide inefficient consumption, distort product profitability and encourage inappropriate outsourcing or insourcing decisions. Conversely, a transparent cost model supports informed decisions while preserving the distinction between financial accounting, management accounting and operational service management.

This chapter examines direct and indirect costs, fixed and variable costs, capital and operating expenditure, traditional absorption costing, activity-based costing, chargeback and showback, shared services, and intangible-asset accounting. The treatment is conceptually applicable across jurisdictions, but recognition and measurement of assets must always be tested against the organisation’s adopted accounting framework, such as IFRS or applicable national GAAP.

Learning Objectives

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

  1. Classify IT costs using multiple, decision-relevant dimensions.
  2. Distinguish financial accounting treatment from managerial cost analysis.
  3. Apply absorption costing and activity-based costing to IT services.
  4. Design chargeback and showback arrangements for shared technology services.
  5. Analyse capitalisation, operating expenditure and intangible-asset issues.
  6. Evaluate governance, behavioural, ethical and regulatory risks in IT cost allocation.
  7. Recommend an appropriate costing model for a complex digital organisation.

1. Cost Objects, Cost Pools and Cost Drivers

A cost object is anything for which cost information is required. In IT, it may be an application, business unit, product, customer, project, cloud platform, service or transaction. A cost pool is an accumulated group of costs that will later be assigned to cost objects. A cost driver is a measurable factor that causes, or reasonably approximates, the consumption of resources.

Examples include:

IT cost itemPossible cost objectPossible cost driver
Database platformDigital serviceDatabase transactions or compute hours
Service deskBusiness unit or applicationTickets, users or incidents
Data-centre powerHosting serviceKilowatt-hours or rack capacity
Cybersecurity monitoringBusiness serviceEndpoints, events or risk tier
Cloud storageProduct or departmentGigabyte-months
Network connectivitySite or serviceBandwidth, circuits or traffic

A single expense can be classified differently for different decisions. A database administrator may be a direct cost of a database service, an indirect cost of a customer-facing product, and a fixed cost in the short term but a variable cost over a longer planning horizon. Cost classification is therefore contextual rather than absolute.

A useful cost model separates four layers:

  1. Resource layer: invoices, payroll, depreciation, utilities and contracts.
  2. Activity layer: provisioning, monitoring, support, development and security operations.
  3. Service layer: hosting, workplace technology, identity, networks and applications.
  4. Consumer layer: departments, products, customers or legal entities.

This structure improves traceability from the general ledger to operational consumption and ultimately to management decisions.

2. Principal IT Cost Classifications

2.1 Direct and indirect costs

A direct cost can be economically and consistently traced to a particular cost object. For example, a licence purchased exclusively for one application or a consultant contracted for one implementation may be direct costs of that application or project.

An indirect cost supports multiple cost objects and cannot be traced economically without an allocation rule. Examples include enterprise architecture, central security governance, shared network infrastructure and the chief information officer’s office.

The distinction depends on traceability and materiality. If metering is inexpensive and reliable, a cost may be treated as direct. If detailed tracing costs more than the information is worth, it may be pooled and allocated. Allocation does not make an indirect cost economically direct; it merely assigns it using a stated basis.

2.2 Fixed, variable and semi-variable costs

A fixed cost remains approximately constant within a relevant capacity range over a specified time period. Examples include a data-centre lease, an annual software subscription or a salaried platform team.

A variable cost changes with a measurable activity driver, such as cloud compute hours, storage consumption, payment transactions or external support hours.

A semi-variable or mixed cost contains both components. A network contract may include a fixed circuit fee and usage-based traffic charges. A service desk may have a fixed staffing base plus overtime during demand peaks.

For planning purposes, a linear cost model is often used within a relevant range:

C = F + vQ

Here, C is total cost in currency units, F is fixed cost for the period, v is variable cost per unit of activity, and Q is activity volume in units. The model assumes that unit variable cost is constant and that fixed capacity does not change within the relevant range. It should not be extrapolated beyond capacity thresholds, where additional staff, licences or infrastructure may create step costs.

For mixed costs, the contribution margin is:

CM = R - V

where CM is contribution margin, R is revenue or chargeable value, and V is total variable cost. Contribution analysis can support service-pricing and outsourcing decisions, but it should not be confused with full economic cost because fixed and opportunity costs may be excluded.

2.3 Capital and operating expenditure

Capital expenditure (CapEx) creates or improves a resource expected to provide benefits beyond the current accounting period. Operating expenditure (OpEx) is consumed in delivering current-period operations. The distinction affects timing of expense recognition, asset registers, depreciation or amortisation, budgets, cash-flow reporting and performance measures.

Typical CapEx candidates include purchased servers, qualifying implementation costs for internally developed software, and major enhancements that create additional functionality. Typical OpEx includes routine maintenance, training, support, subscriptions, data-centre electricity and cloud consumption.

The accounting treatment is not determined solely by management preference or by whether an invoice is large. Recognition depends on applicable standards, control, identifiability, probable future benefits and reliable measurement. A cloud arrangement may involve a service contract rather than a controlled software asset. A multi-year contract may also include lease, service and implementation components requiring separate analysis.

A simple accounting identity is:

Closing carrying amount = Opening carrying amount + Additions − Depreciation or amortisation − Impairment − Disposals

This identity applies to an asset class when additions, depreciation or amortisation, impairment and disposals are measured under the relevant accounting policy. It is not a substitute for determining whether an item qualifies for recognition as an asset.

2.4 Product, period, sunk and opportunity costs

A product cost is assigned to a product, service or project and may be recognised through cost of sales or an asset depending on the accounting framework. A period cost is charged to the period, such as general administration.

A sunk cost has already been incurred and cannot be changed by a current decision. It should not determine whether a new project proceeds, although it may be relevant for explaining historical performance. An opportunity cost is the benefit forgone by selecting one alternative instead of another. For example, assigning a scarce cloud engineer to a low-value migration may delay a higher-value security programme.

These categories matter because a cost appropriate for external reporting may be irrelevant to a particular decision, while an opportunity cost absent from the ledger may be economically significant.

3. Absorption Costing

Absorption costing assigns both direct and allocated indirect costs to products or services. In an IT environment, the method may assign platform salaries, depreciation, facilities and governance overhead to services using rates based on capacity, users, devices, transactions or revenue.

A general allocation rate is:

Allocation rate = Cost pool ÷ Expected cost-driver volume

The allocated cost to a consumer is then:

Allocated cost = Allocation rate × Consumer driver usage

The method assumes that the selected driver is a reasonable proxy for resource consumption and that the cost pool is sufficiently homogeneous. If a pool contains unrelated activities, one driver may produce misleading results.

Worked Example 1: Absorption costing

An IT operations pool contains annual costs of £480,000. The organisation expects 12,000 supported user-months. The absorption rate is:

£480,000 ÷ 12,000 = £40 per user-month

Business Unit A has 420 users for 12 months, or 5,040 user-months. Its allocated cost is:

5,040 × £40 = £201,600

If Business Unit A also has direct software costs of £36,000, its total assigned IT cost is £237,600. The result is straightforward, but it assumes that user-months explain consumption. A unit with few users but intensive compute, security or data requirements may be undercharged, while a light user population may be overcharged.

Absorption costing is relatively simple and useful for full-cost budgeting and financial reporting. Its limitations include cross-subsidisation, weak behavioural signals, poor treatment of unused capacity and possible disagreement about allocation bases.

4. Activity-Based Costing in IT

Activity-based costing (ABC) recognises that resources are consumed by activities and activities are consumed by cost objects. Instead of allocating a broad overhead pool using one volume measure, ABC creates separate pools for activities such as incident resolution, backup, provisioning, release management and security monitoring.

For activity i, the activity rate is:

Activity ratei = Cost pooli ÷ Practical activity capacityi

The cost assigned to a consumer is:

Assigned cost = ∑(Activity ratei × Quantity of activityi consumed)

The summation covers all relevant activities. Using practical capacity rather than theoretical maximum capacity can reveal the cost of unused capacity. The model assumes that activity measurements are sufficiently reliable and that causal relationships are stable enough to support decision-making.

Worked Example 2: ABC comparison

A shared platform has two annual cost pools:

ActivityCost poolPractical capacity
Compute processing£300,00060,000 compute-hours
Service requests£180,0009,000 requests

The rates are £5 per compute-hour and £20 per request. Product X consumes 8,000 compute-hours and 300 requests. Its assigned cost is:

(8,000 × £5) + (300 × £20) = £40,000 + £6,000 = £46,000

Product Y consumes 2,000 compute-hours and 1,500 requests. Its assigned cost is:

(2,000 × £5) + (1,500 × £20) = £10,000 + £30,000 = £40,000

A single user-based rate could have assigned costs very differently. ABC is especially valuable when services have diverse consumption patterns, indirect costs are material, and management needs cost-to-serve information. Its disadvantages are data complexity, metering costs, model maintenance and the risk of presenting estimates as precise facts.

5. Chargeback and Showback

Chargeback transfers an internally determined IT cost to the consuming business unit, usually through a financial journal, invoice or budget deduction. Showback reports consumption and associated cost without transferring the charge. Both aim to improve transparency and accountability.

A mature model typically includes:

  • a service catalogue with clear service definitions;
  • a rate card and unit descriptions;
  • ownership of each cost pool;
  • metering and data-quality controls;
  • treatment of shared, reserved and unused capacity;
  • dispute and exception procedures;
  • periodic reconciliation to the general ledger; and
  • review of whether rates influence desirable behaviour.

Chargeback can encourage demand management, but it may also cause dysfunctional behaviour. Managers may avoid necessary security controls, shift workloads to unmetered services, or optimise their local bill while increasing enterprise cost. Showback may be preferable during an initial maturity phase because it creates visibility without immediately imposing contested financial consequences.

A useful design principle is to separate three concepts:

  1. Cost recovery: whether total provider cost is recovered.
  2. Consumption signalling: whether users see the marginal consequences of usage.
  3. Performance accountability: whether a manager is responsible for service efficiency.

One rate rarely performs all three functions well. A blended model may recover fixed platform costs through a subscription, signal variable consumption through metered charges, and retain enterprise-funded security and resilience costs outside local chargeback.

6. Shared Services and Allocation Governance

Shared IT services create a tension between fairness, simplicity and behavioural usefulness. An enterprise identity platform may benefit every business unit, while a specialised analytics platform may benefit only a few. Allocation options include:

  • equal allocation, suitable where benefits are broadly uniform;
  • user or device allocation, suitable for workplace services;
  • usage allocation, suitable for metered compute, storage or transactions;
  • benefit allocation, suitable where measurable strategic benefits differ;
  • ability-to-pay allocation, sometimes used for corporate services but weak as a causal cost model; and
  • hybrid allocation, combining fixed and variable components.

No allocation basis is universally fair. Causal fairness asks who consumes resources. Benefit fairness asks who receives value. Ability-to-pay fairness asks who can bear the cost. Governance must state which concept is being pursued.

A defensible allocation policy should document the cost object, pool boundaries, driver rationale, data source, frequency, treatment of unused capacity, exceptions, approval authority and review date. Internal audit should be able to reproduce the allocation from source records. Material changes should be communicated before implementation, not hidden in retrospective adjustments.

Unallocated corporate IT costs should not automatically be forced into business-unit rates. Some costs are deliberately enterprise-funded because they represent regulatory compliance, cyber resilience, strategic architecture or minimum viable capability. Transparent central funding can be more honest than arbitrary allocation.

7. Intangible Assets and IT Accounting

IT accounting often involves intangible assets: software, licences, development platforms, databases, patents, brands and certain contractual rights. An intangible asset generally requires identifiability, control, probable future economic benefits and reliable measurement under the applicable standard. Recognition rules differ by jurisdiction and by whether software is purchased, developed internally, hosted by a supplier or embedded in a wider service.

Important distinctions include:

  • Research versus development: exploratory investigation is commonly expensed, while qualifying development expenditure may be capitalised under specified conditions.
  • Routine maintenance versus enhancement: correcting defects or preserving existing functionality generally differs from creating substantial new capability.
  • Owned software versus access service: a subscription granting access may not provide control of software.
  • Configuration versus customisation: configuration costs in a cloud arrangement may be expensed or capitalised depending on whether a separate controlled resource is created.
  • Useful life: amortisation should reflect the period over which benefits are consumed, subject to the governing standard.
  • Impairment: an asset may require write-down when recoverable economic benefits decline.

A project’s agile structure does not remove accounting requirements. Product backlogs, sprint records, time sheets, architecture approvals, acceptance evidence and release documentation can support the distinction between research, development, maintenance and operational support. However, time recording alone does not prove that capitalisation criteria are satisfied.

For an intangible asset with cost K, residual value S, and useful life n years, straight-line annual amortisation, when permitted and appropriate, is:

Annual amortisation = (K − S) ÷ n

The formula assumes a constant pattern of benefit consumption, a determinable useful life and no impairment adjustment. It does not establish that the asset should be recognised.

8. Illustrative Case: Northbridge Digital Services

The following is a fictional illustrative case.

Background

Northbridge Digital Services operates retail, commercial and public-sector platforms. Its IT costs total £18 million annually. Business executives complain that the technology department is expensive, while the CIO argues that high-growth digital products are subsidising low-volume legacy services.

The existing model allocates nearly all shared IT costs by headcount. Cloud invoices are paid centrally, application support is charged by application count, and cybersecurity is funded as an unallocated corporate cost. There is no consistent distinction between project development and routine maintenance.

Problem

The headcount allocation produces three problems. First, a small analytics product with intensive compute is undercharged. Second, a large administrative unit with many users but modest technology consumption is overcharged. Third, product managers cannot see the cost implications of data retention, test environments or peak processing.

The finance team also identifies £2.4 million of development expenditure that has insufficient evidence to support consistent capitalisation decisions.

Analysis

A joint finance, architecture and service-management team maps the general ledger to activities. It identifies cloud compute, storage, service requests, workplace support, application development, security monitoring and enterprise governance as separate pools. Interviews and usage data show that application count is a poor driver: two applications differ substantially in transaction volume, criticality and support effort.

The team also distinguishes fixed capacity from variable use. Core security monitoring is classified as an enterprise-funded baseline, while incremental endpoint and event-processing costs are assigned to consuming services. This avoids penalising units merely for complying with mandatory controls.

Approach and solution

Northbridge introduces a three-stage model:

  1. Showback: monthly dashboards display compute-hours, storage, transactions, incidents and estimated cost by product.
  2. Hybrid chargeback: fixed platform availability is funded through a service subscription; metered compute and storage are charged using activity rates.
  3. Accounting governance: development teams use standard work classifications, milestone approvals and release evidence. Finance reviews capitalisation quarterly with technology leadership.

The company uses practical capacity for rate setting and reports unused capacity separately. Product managers receive alerts when test environments remain active beyond agreed thresholds. A review board approves allocation-driver changes and resolves disputes.

Outcome

After two quarters, avoidable non-production cloud consumption falls, product teams improve data-retention policies, and budget discussions shift from total IT spend to cost-to-serve and business value. The model does not reduce every charge; instead, it makes cost causation more visible. Finance also identifies that some previously capitalised configuration work does not create a controlled asset and changes its accounting treatment.

Learning points

The case demonstrates that cost transparency requires both operational measurement and accounting discipline. A sophisticated allocation model cannot correct weak service definitions or unreliable usage data. Conversely, a reliable ledger alone cannot explain why one product consumes more resources than another. Effective governance joins financial control, architecture, procurement, engineering and business ownership.

9. Challenges, Ethics and Contemporary Developments

Data quality and model risk

Usage data may be incomplete, duplicated or measured at inconsistent time intervals. Cloud bills may contain credits, committed-use discounts, taxes and shared reservations that require defined treatment. Allocation models should include reconciliation controls, data lineage and confidence assessments. False precision is a significant risk: a rate shown to four decimal places is not necessarily accurate.

Privacy and surveillance

Detailed consumption data can reveal employee activity, customer behaviour or commercially sensitive product information. Metering should follow data minimisation, access control, retention and privacy requirements. Individual employee monitoring should not be justified merely because a service-cost model is being built.

Algorithmic allocation and AI

AI can forecast demand, classify invoices, detect anomalous cloud usage and recommend resource allocation. These applications are useful but require human oversight, explainability, audit trails and bias testing. An AI model trained on historical allocations may reproduce unjustified cross-subsidies. Automated recommendations should remain subject to accounting policy, procurement controls and management approval.

Sustainability

IT costing increasingly incorporates energy, carbon and water impacts. Carbon-aware allocation may add energy consumption or emissions estimates to financial cost dashboards. Such measures should be clearly labelled as financial, environmental or combined metrics; environmental estimates should not be presented as audited financial costs without an appropriate basis.

Regulatory and contractual considerations

Allocation affects tax, transfer pricing, regulated-service pricing, grant accounting, outsourcing contracts and data-residency obligations. Intercompany charges require documentation and consistency with applicable tax rules. Supplier contracts should define audit rights, usage data, pricing metrics, credits, termination assistance and treatment of customer data. Accounting policy must be aligned with the organisation’s reporting framework rather than with a vendor’s marketing terminology.

10. Best-Practice Framework

A postgraduate practitioner should approach IT cost classification through the following sequence:

  1. Define the decision and cost object.
  2. Establish the accounting boundary and reporting purpose.
  3. Map resources to activities and services.
  4. Separate direct, shared, fixed, variable, capital and operating elements.
  5. Select causal and measurable drivers.
  6. Test materiality and the cost of measurement.
  7. Calculate rates using realistic capacity assumptions.
  8. Reconcile allocations to the general ledger and supplier records.
  9. Pilot showback before imposing chargeback.
  10. Monitor behavioural effects and unintended incentives.
  11. Review asset recognition and impairment evidence independently.
  12. Document assumptions, exceptions, approvals and review dates.

The best model is not the most complicated one. It is the simplest model that is sufficiently causal, reliable, understandable and fit for the decision.

Chapter Summary

IT cost classification is multidimensional: a cost may be direct or indirect, fixed or variable, capital or operating, product or period, and relevant or irrelevant to a particular decision. Cost objects, pools and drivers connect financial records with operational consumption. Absorption costing provides a practical full-cost view but can create cross-subsidies when one driver is inadequate. Activity-based costing improves causal analysis by assigning costs through activities, although it increases data and governance requirements.

Chargeback transfers cost to consumers, while showback provides visibility without direct financial transfer. Hybrid models often combine fixed subscriptions, variable usage charges and centrally funded enterprise capabilities. Shared-service allocation must explicitly address causal, benefit and ability-to-pay concepts. Intangible-asset accounting requires careful distinction between research, development, maintenance, access services and controlled assets. Finally, reliable IT costing depends on data quality, transparent policy, privacy, auditability, behavioural evaluation and alignment with the applicable accounting and regulatory framework.

Key Terms

Cost object: Item, service, product, project or customer for which cost information is required.

Cost pool: Group of costs accumulated for later assignment.

Cost driver: Measurable factor used to explain or assign resource consumption.

Direct cost: Cost economically traceable to a particular cost object.

Indirect cost: Cost supporting multiple cost objects and assigned through an allocation basis.

Fixed cost: Cost that remains approximately constant within a relevant capacity range.

Variable cost: Cost that changes with activity volume.

Semi-variable cost: Cost containing fixed and variable components.

Capital expenditure: Expenditure creating or improving a resource with future-period benefits.

Operating expenditure: Expenditure consumed in current operations.

Absorption costing: Assignment of direct and allocated indirect costs to services or products.

Activity-based costing: Costing method that assigns resource costs through activities and their drivers.

Chargeback: Financial transfer of IT cost to a consuming unit.

Showback: Reporting of consumption and cost without financial transfer.

Practical capacity: Realistic available capacity after allowing for unavoidable constraints.

Sunk cost: Irrecoverable past cost that should not affect a current incremental decision.

Opportunity cost: Benefit forgone by selecting one alternative over another.

Intangible asset: Identifiable non-monetary asset without physical substance.

Impairment: Reduction in the recoverable economic value of an asset.

Review Questions

Short Answer Questions

  1. Define a cost object, cost pool and cost driver, using an IT example for each.
  2. Why can the same IT cost be direct for one cost object and indirect for another?
  3. Distinguish chargeback from showback.
  4. State two limitations of absorption costing in a cloud environment.
  5. Why does cloud access not automatically create a controlled intangible asset?

Long Answer Questions

  1. Explain how direct/indirect, fixed/variable and capital/operating classifications support different IT management decisions.
  2. Compare absorption costing and activity-based costing, including their assumptions, advantages and limitations.
  3. Design a governance framework for allocating the cost of a shared cybersecurity service.
  4. Discuss the accounting and management implications of capitalising internally developed software.
  5. Evaluate the argument that all shared IT costs should be allocated to business units rather than funded centrally.

Analytical / Application Questions

  1. An IT pool costs £720,000 and supports 18,000 user-months. Department A has 600 users for 10 months and also incurs £25,000 of direct licence cost. Calculate its allocated and total assigned cost, and identify one limitation of the driver.
  2. A platform has compute costs of £240,000 for 48,000 hours and request-processing costs of £150,000 for 15,000 requests. Product P uses 6,000 hours and 400 requests. Calculate its activity-based cost and explain how unused capacity could affect the rate.
  3. A company plans to impose chargeback for mandatory identity and security services. Recommend whether to use full chargeback, showback or a hybrid model, and justify the recommendation using fairness, behaviour and governance criteria.

Multiple Choice Questions with Answers

Question 1

Which item is most appropriately described as a cost driver for cloud storage?

A. Number of board meetings

B. Gigabyte-months consumed

C. Annual headcount alone

D. Number of procurement policies

Correct Answer: B. Gigabyte-months consumed

Question 2

Under the linear cost model C = F + vQ, what does v represent?

A. Total fixed cost

B. Total activity volume

C. Variable cost per activity unit

D. Total revenue

Correct Answer: C. Variable cost per activity unit

Question 3

An IT cost pool is £300,000 and expected driver volume is 6,000 units. What is the allocation rate?

A. £5 per unit

B. £50 per unit

C. £500 per unit

D. £1,800,000 per unit

Correct Answer: B. £50 per unit

Question 4

Which feature distinguishes activity-based costing from a single-pool absorption method?

A. It excludes all indirect costs

B. It uses activities and multiple causal drivers

C. It capitalises every technology expense

D. It requires no operational data

Correct Answer: B. It uses activities and multiple causal drivers

Question 5

What is the primary purpose of showback?

A. To hide shared-service costs

B. To transfer legal ownership of software

C. To provide consumption and cost visibility without direct financial transfer

D. To eliminate the general ledger

Correct Answer: C. To provide consumption and cost visibility without direct financial transfer

Question 6

Which cost is normally variable with cloud demand, subject to the provider’s pricing model?

A. A fixed annual office lease

B. Compute-hours consumed

C. A permanent salary unaffected by workload

D. A previously paid implementation invoice

Correct Answer: B. Compute-hours consumed

Question 7

Which statement about sunk costs is correct?

A. They should always determine future investment decisions

B. They are future benefits forgone

C. They are past costs that cannot be changed by the current decision

D. They are identical to variable costs

Correct Answer: C. They are past costs that cannot be changed by the current decision

Question 8

A software project costs £100,000, has a residual value of £10,000 and a five-year useful life. Under straight-line amortisation, what is annual amortisation, assuming the asset qualifies for recognition?

A. £18,000

B. £20,000

C. £22,000

D. £90,000

Correct Answer: A. £18,000

Question 9

Why might an enterprise retain some cybersecurity costs as centrally funded?

A. Because security costs never consume resources

B. Because mandatory baseline controls may provide enterprise-wide benefits and should not create perverse incentives

C. Because central funding makes costs disappear

D. Because allocation drivers are prohibited for security services

Correct Answer: B. Because mandatory baseline controls may provide enterprise-wide benefits and should not create perverse incentives

Question 10

Which practice most strengthens the auditability of an IT allocation model?

A. Changing drivers without notice

B. Using unexplained rounded rates

C. Documenting pools, drivers, data sources, assumptions and reconciliations

D. Allocating all costs by convenience

Correct Answer: C. Documenting pools, drivers, data sources, assumptions and reconciliations

IT Costing, Budgeting & Procurement
Chapter 2 of 15