Operating Model, Resources and Partnerships

Introduction

A business idea becomes commercially credible only when the entrepreneur can explain how value will be created, delivered and supported in practice. A value proposition may promise convenience, quality, affordability or sustainability, but customers experience that promise through operating activities: sourcing, production, service delivery, order fulfilment, communication, payment, after-sales support and quality control.

The operating model describes the system through which an enterprise converts inputs into customer outcomes. It connects the business model to everyday work. It identifies the processes, people, assets, technology, suppliers and partners required to serve a selected customer segment through chosen channels. It also clarifies which activities should be performed internally and which should be obtained from external organisations.

For an entrepreneur, this is an application-oriented planning task. The objective is not to design a perfect large-company structure. It is to create a feasible, scalable and controlled way of delivering the proposed value proposition with limited resources and manageable risk.

Learning Objectives

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

1. Explain the meaning and purpose of an operating model.
2. Map key processes from customer demand to delivery and support.
3. Identify the resources and capabilities needed to execute a business model.
4. Evaluate supply arrangements, distribution channels and partnerships.
5. Develop a basic staffing and quality-management plan.
6. Assess operational risks, ethical responsibilities and scalability requirements.
7. Apply these ideas to a new venture through an integrated operating plan.

1. The Operating Model as the Delivery System

A business model explains how an enterprise creates, delivers and captures value. The operating model makes this explanation operational. It answers questions such as:

• What work must be performed?
• In what sequence must activities occur?
• Who is responsible for each activity?
• What resources and information are required?
• Which activities are internal and which are outsourced?
• How will customers receive the product or service?
• How will performance and quality be monitored?

A useful distinction is between strategy, business model and operating model. Strategy establishes the direction and competitive position. The business model describes the logic of value creation and revenue generation. The operating model describes the organisational and process arrangements that make that logic work.

For example, a business may compete by offering same-day delivery. Its operating model must then include accurate inventory information, local stock availability, rapid picking and packing, reliable delivery capacity, customer notifications and a process for handling failed deliveries. Same-day delivery is therefore not merely a marketing statement; it is an operational capability.

The operating model in the value chain

A value chain includes activities that contribute to customer value. Primary activities commonly include procurement, production or service operations, distribution, marketing and sales, and customer service. Supporting activities may include finance, human resources, information technology, compliance and facilities management.

A small business may not have separate departments for these activities. One person may perform several roles. Nevertheless, the activities still exist and must be planned. Failure to recognise them can result in missed orders, inconsistent quality, excessive costs or legal exposure.

2. Mapping the Core Processes

From customer need to customer outcome

Process mapping shows how work moves through the venture. A basic service or product process can be represented as:

Customer demand → order capture → confirmation and payment → sourcing or production → quality check → fulfilment → delivery or access → customer support → feedback and improvement.

Each stage should identify its input, activity, responsible person, output, required standard and possible failure. A process map is more useful when it reflects actual decisions and handovers rather than broad labels such as “operations”.

Front-stage and back-stage work

Service businesses should distinguish between:

• Front-stage activities, which customers can see, such as consultation, booking, delivery and communication.
• Back-stage activities, which customers may not see, such as scheduling, procurement, data entry, cleaning, stock control and invoicing.

The customer judges the whole experience, including failures in invisible activities. A delayed supplier invoice can prevent an order from being dispatched; a weak booking system can create an apparently poor service experience even when staff are competent.

Process design principles

Effective processes generally have the following characteristics:

1. Clear ownership: One person or role is accountable for the result.
2. Defined inputs and outputs: It is clear what begins and ends the process.
3. Logical sequence: Activities occur in an efficient and understandable order.
4. Control points: Important risks are checked before they affect the customer.
5. Standardisation where appropriate: Repeated work is performed consistently.
6. Flexibility where valuable: Staff can respond to unusual customer needs.
7. Feedback: Performance data and customer comments lead to improvement.

Capacity and bottlenecks

Capacity is the maximum amount of work that a resource or process can complete during a specified period under stated conditions. A bottleneck is the process step with the lowest effective capacity relative to demand. Increasing capacity elsewhere will not solve a bottleneck unless the constrained step is also improved.

A simple capacity estimate is:

where C is effective capacity in units per period, n is the number of available workers, machines or service positions, t is productive time per resource in the period, and e is the efficiency factor expressed as a decimal. For example, three workers each have 6 productive hours per day, complete one unit every 30 minutes, and operate at 80% efficiency. Daily capacity is:

In practice, the venture should plan for approximately 28 units rather than promise 28.8 units. This estimate assumes that the workers have comparable productivity, productive time is measured consistently, demand is available and quality losses are already reflected in the efficiency factor. Capacity is not the same as demand or sales; it is an operational limit.

A process map should therefore ask: Where does work wait? Which resource is used most heavily? What happens when demand is higher than capacity? Possible responses include appointment limits, temporary labour, cross-training, automation, outsourcing, extended operating hours or redesign of the process.

3. Resources and Capabilities

Resources versus capabilities

A resource is an asset or input available to the enterprise. A capability is the organisation’s ability to combine resources and perform an activity reliably. A commercial oven is a resource; the capability to produce safe, consistent baked products at the required volume includes equipment, recipes, trained staff, scheduling, maintenance and quality controls.

Resources may be classified as follows:

Resource-based view

The resource-based view argues that resources can support competitive advantage when they are valuable, relatively rare, difficult to imitate and effectively organised. For a small venture, a resource need not be unique in itself. A common software package can become valuable when combined with specialist knowledge, trusted relationships and disciplined processes.

Entrepreneurs should avoid confusing possession with capability. Buying an expensive machine does not automatically create production competence. Capability requires learning, routines, coordination and performance control.

Make, buy or partner decisions

A venture can perform an activity internally, purchase it from a supplier, or collaborate with a partner. The decision should consider:

• strategic importance of the activity;
• required expertise and speed;
• cost, including coordination and monitoring costs;
• quality and reliability;
• confidentiality and intellectual property;
• flexibility and scalability;
• legal and regulatory responsibility;
• dependence on a single provider.

Activities central to differentiation, customer trust or proprietary knowledge are often retained internally. Activities requiring specialised equipment or scale economies may be outsourced. Outsourcing does not transfer all responsibility: the venture remains accountable for claims made to customers and for legal duties that cannot be contracted away.

4. Supply Arrangements and Procurement

Supply planning concerns the flow of materials, services, information and money from providers to the enterprise and ultimately to customers. A supply arrangement should specify what is supplied, in what quantity, at what quality, by when, at what price and under what terms.

Supplier selection

Important supplier criteria include:

• total cost rather than price alone;
• product or service quality;
• delivery reliability and lead time;
• minimum order quantities;
• payment terms;
• geographic location and transport requirements;
• ethical, environmental and labour practices;
• financial stability;
• data security where information is shared;
• contingency capacity.

A supplier offering a lower price may be more expensive overall if it causes defects, delays or emergency purchases. Entrepreneurs should assess total cost, including ordering, transport, storage, inspection, waste, returns and administrative effort.

Inventory and working capital

Inventory decisions involve a trade-off. Too little inventory can cause stockouts and lost sales; too much ties up cash, increases storage costs and creates obsolescence or spoilage. The venture should classify items by importance and risk, establish reorder triggers and review usage patterns.

A simple reorder point can be expressed as:

where R is the reorder point in units, d is average demand per time period, L is supplier lead time in the same time units, and S is safety stock in units. If average demand is 10 units per day, lead time is 4 days and safety stock is 15 units, then:

This formula assumes relatively stable average demand and lead time. If demand or lead time is highly uncertain, the business needs a more robust safety-stock method based on variability and a chosen service level. The units must be consistent: daily demand requires lead time in days.

Supply resilience

Resilience is the ability to continue or recover operations after disruption. Practical measures include approved alternative suppliers, substitute materials, minimum emergency stock, documented specifications, supplier communication and periodic disruption testing. Resilience must be balanced against the cost of maintaining alternatives.

5. Distribution Channels and Customer Access

A distribution channel is the route through which a product or service reaches the customer. Channels may be direct, such as a shop, website, sales representative or mobile application, or indirect, such as a wholesaler, marketplace, retailer, agent or franchisee.

Channel selection should match the value proposition and customer behaviour. Relevant criteria include:

• customer reach and convenience;
• speed and reliability;
• control over the customer relationship;
• cost and margin impact;
• ability to demonstrate or customise the offer;
• data ownership and privacy;
• geographic coverage;
• returns and after-sales responsibilities.

A multi-channel model can expand reach, but it can also create inconsistent prices, duplicated inventory, channel conflict and fragmented customer data. The entrepreneur should define rules for pricing, stock allocation, customer ownership and complaint handling.

For physical delivery, the plan should specify packaging, dispatch cut-off times, delivery areas, proof of delivery, failed-delivery procedures and responsibility for damage. For digital delivery, it should specify account creation, access permissions, uptime expectations, technical support and data protection.

6. Partnerships and Inter-organisational Relationships

A partnership is a relationship in which two or more organisations coordinate resources or activities to achieve mutual or complementary objectives. Partners may include suppliers, distributors, technology providers, professional advisers, community organisations, financiers, educational institutions and strategic collaborators.

Partnerships can provide:

• access to skills or assets that the venture cannot afford;
• market access and credibility;
• lower costs through shared infrastructure;
• innovation and learning;
• risk sharing;
• faster experimentation.

However, partnerships create dependence, coordination costs and risks of opportunism. The entrepreneur should assess both the value created and the vulnerability introduced.

Partnership design

A practical partnership agreement should clarify:

1. purpose and scope;
2. responsibilities and decision rights;
3. service levels and quality standards;
4. prices, commissions and payment timing;
5. ownership and permitted use of intellectual property;
6. confidentiality and data protection;
7. health, safety and regulatory duties;
8. performance reporting and dispute resolution;
9. insurance and liability;
10. duration, review and exit arrangements.

Trust is valuable but should not replace clarity. Informal arrangements may be suitable for early experiments, yet material commitments should be documented. A small venture should avoid excessive concentration in one partner and should retain access to essential information and customer relationships.

7. Staffing, Roles and Organisational Design

Staffing translates the operating model into human responsibilities. A new venture may begin with founders performing multiple roles, but role ambiguity can cause neglected tasks and weak accountability. A simple responsibility matrix can distinguish who is responsible for performing work, accountable for the outcome, consulted before decisions and informed afterward.

A staffing plan should cover:

• required roles and competencies;
• number of people and working hours;
• employment, contract or volunteer status;
• recruitment sources and selection criteria;
• induction and training;
• supervision and performance feedback;
• pay, incentives and legal entitlements;
• health, safety and wellbeing;
• succession and backup arrangements.

Job design should reflect the actual process. For example, a food venture may need production, purchasing, customer service, delivery and food-safety responsibilities even if one employee performs several of them. Separation of duties is important where fraud or serious errors are possible; the same person should not always order goods, approve payment and reconcile the bank account.

Cross-training improves resilience by allowing staff to cover absences and demand peaks. It should be supported by documented procedures rather than relying entirely on founder memory.

8. Quality Management and Performance Control

Quality means meeting defined requirements and customer expectations consistently. It is not limited to inspecting the final product. Quality should be designed into processes through clear specifications, competent staff, reliable inputs, preventive controls and feedback.

A practical quality system includes:

• customer and regulatory requirements;
• product or service specifications;
• standard operating procedures;
• training and competency records;
• supplier checks;
• inspection or testing at critical points;
• complaint and nonconformity procedures;
• corrective and preventive action;
• review of trends and recurring causes.

Useful performance indicators may include:

Indicators should support decisions, not create paperwork without purpose. A single measure can mislead. For instance, reducing delivery time may increase damage if packaging is inadequate. Balanced measures should consider speed, cost, quality, safety and customer outcomes.

9. Digital Systems, Data and Artificial Intelligence

Technology can coordinate orders, inventory, payments, customer relationships, scheduling and performance reporting. The appropriate system for a start-up is usually the simplest reliable system that meets current needs and can export data for future growth. Unnecessary complexity creates cost and dependence.

Basic controls include unique user access, strong authentication, backups, software updates, restricted permissions and documented retention practices. Customer data should be collected only for legitimate purposes, used transparently and protected against unauthorised access. Entrepreneurs must comply with applicable privacy, consumer-protection, tax and electronic-commerce requirements.

Artificial intelligence may assist with demand forecasting, customer-service triage, content generation, anomaly detection and scheduling. It should be treated as a support tool rather than an unquestioned decision-maker. Risks include inaccurate outputs, biased recommendations, disclosure of confidential information and unclear accountability. Human review is particularly important for decisions affecting employment, credit, safety, legal rights or vulnerable customers.

10. Ethics, Governance and Sustainability

Operational decisions affect employees, customers, suppliers, communities and the environment. Responsible operating design includes safe working conditions, fair treatment, honest marketing, accessible service, responsible sourcing and appropriate waste management.

Governance does not require a large board. It requires clear authority, records, controls and review. A founder should know who can approve spending, change prices, access customer information, accept a supplier, handle a complaint and report a safety incident.

Sustainability should be considered across the life cycle of the offer: sourcing, production, packaging, transport, use and disposal. Claims such as “green”, “ethical” or “locally sourced” should be specific and evidence-based. Misleading environmental claims can damage trust and may breach consumer law.

11. Scaling the Operating Model

An operating model that works for 20 customers may fail at 200. Scaling requires identifying which elements can expand and which will become constraints. Entrepreneurs should examine:

• process standardisation;
• technology and data architecture;
• supplier capacity;
• recruitment and training time;
• management span and supervision;
• working-capital requirements;
• quality consistency;
• regulatory obligations;
• customer support capacity.

Scaling is not simply doing more of the same. It may require modular products, documented procedures, regional suppliers, channel partners or redesigned roles. The venture should test assumptions through pilots before making irreversible investments.

Applied Case: GreenBasket Local Produce Delivery

Background

GreenBasket is an illustrative early-stage venture offering weekly boxes of locally produced fruit, vegetables and pantry items to urban households. Its value proposition is convenient access to traceable local produce with reduced packaging. Customers order online and receive delivery on a selected day.

Problem

The founders initially accepted unlimited orders through social media. They purchased produce after receiving orders, packed boxes in a rented community kitchen and used informal driver arrangements. Early customers liked the concept, but late deliveries, substitutions and inconsistent box quality increased complaints. The founders also experienced cash pressure because suppliers required payment before customers’ subscriptions were collected.

Analysis

The process map revealed four main constraints. First, orders were not closed early enough to plan procurement. Second, supplier availability varied, so substitutions were decided inconsistently. Third, packing was a bottleneck because items were checked and packed by one founder. Fourth, drivers did not receive standard route information or delivery instructions.

The resource analysis identified a need for reliable supplier agreements, a basic order and inventory system, packing tables and crates, trained casual staff, documented substitution rules and a delivery partner. The founders decided to retain customer communication, supplier selection and quality approval internally, while using a logistics partner for routine delivery.

Approach and solution

GreenBasket introduced the following operating model:

1. Orders close every Wednesday at 18:00 for Saturday delivery.
2. Suppliers receive a forecast and confirmed purchase order on Thursday.
3. A substitution policy allows only equal-or-better quality items, with customer notification where the change is material.
4. Produce is inspected on receipt using a short checklist covering freshness, quantity and damage.
5. Packing is organised by box type, with a second-person final check.
6. The logistics partner receives labelled routes, delivery windows and failed-delivery instructions.
7. The venture tracks on-time delivery, damaged items, substitution frequency, complaint resolution time and box margin.
8. A second supplier is approved for critical items and seasonal shortages.

If average demand is 60 boxes per week, supplier lead time is two days and the venture holds a safety stock equivalent to 10 boxes for packaging materials, the packaging reorder point is calculated using the same time-unit principle. If packaging use averages 12 sets per day, the reorder point is 34 sets: R = 12 × 2 + 10 = 34. This calculation applies to packaging sets, not fresh produce, because produce has different perishability and replenishment characteristics.

Outcome

The revised model reduced last-minute purchasing, clarified responsibilities and made delivery performance measurable. The venture did not eliminate all substitutions, but customers received earlier communication and more consistent alternatives. The founders also learned that the logistics partner’s price was justified only when delivery volume reached an agreed threshold. They therefore retained a mixed model: partner delivery on peak days and founder-managed delivery for a small nearby area.

Learning points

The case demonstrates that an operating model must connect customer promises to process capacity. It also shows that outsourcing can improve capability while creating the need for service standards and monitoring. Finally, quality is produced through the entire chain—from supplier selection to customer communication—not through final inspection alone.

Challenges and Limitations

Operating plans are based on assumptions. Demand forecasts may be wrong, suppliers may fail, staff may leave and regulations may change. Excessive planning can also delay market learning. Entrepreneurs should therefore distinguish between assumptions that require immediate testing and details that can remain provisional.

Common weaknesses include:

• designing processes around the founder rather than the customer;
• ignoring hidden administrative and compliance work;
• selecting suppliers on price alone;
• outsourcing critical activities without controls;
• measuring sales while ignoring fulfilment quality;
• expanding channels before the core process is stable;
• using technology without data governance;
• treating staff as interchangeable rather than developing capability.

The appropriate response is iterative planning: document the current model, test it with real customers, measure results, identify bottlenecks and revise the design.

Best-Practice Checklist

Before launching or revising a venture, the entrepreneur should be able to answer yes to most of the following questions:

• Is every major customer promise linked to a process and responsible role?
• Are capacity limits and bottlenecks understood?
• Are key resources available at the required quality and time?
• Are suppliers assessed for total cost, reliability and ethical conduct?
• Are make, buy and partner decisions deliberate?
• Are distribution responsibilities and customer data ownership clear?
• Are staff trained, supervised and protected?
• Are quality standards and complaint procedures documented?
• Are legal, safety, privacy and environmental duties addressed?
• Is there a contingency plan for major supplier, technology or staffing failure?
• Can the model scale without destroying quality or cash flow?

Chapter Summary

An operating model is the practical system through which a venture creates and delivers its value proposition. It integrates processes, resources, capabilities, supply arrangements, distribution channels, partnerships, staffing and quality controls. Process mapping exposes handovers and bottlenecks; capacity analysis helps entrepreneurs avoid unrealistic promises. Resources become capabilities only when people, assets, knowledge and routines are coordinated effectively.

Supplier and partnership decisions should consider reliability, total cost, control, risk and strategic importance. Distribution channels must be selected according to customer needs and the degree of control the venture requires. Staffing plans should define roles, skills, training and accountability. Quality must be built into the process through specifications, preventive controls, measurement and improvement. Digital tools and AI can strengthen coordination, but they require privacy, security and human oversight.

A strong operating model is feasible at launch, adaptable during learning and capable of scaling responsibly. It converts an attractive idea into a dependable customer experience.

Key Terms

Operating model: The system of processes, resources, roles and relationships used to deliver a business model.

Capability: The ability to combine resources and perform an activity reliably.

Process: A connected set of activities that transforms inputs into outputs.

Bottleneck: The process stage that constrains total effective capacity.

Capacity: The maximum feasible output of a resource or process in a specified period.

Front-stage activity: Work visible to or directly experienced by the customer.

Back-stage activity: Supporting work not normally visible to the customer.

Supply arrangement: The agreed method for obtaining goods, services or materials from providers.

Lead time: The time between placing an order and receiving the required supply.

Safety stock: Additional inventory held to protect against uncertainty.

Distribution channel: The route through which an offer reaches the customer.

Partnership: A coordinated relationship between organisations pursuing complementary objectives.

Service level: A defined performance expectation agreed between parties.

Resource-based view: A perspective that links advantage to valuable resources and capabilities.

Quality control: Activities used to check and maintain conformity with requirements.

Standard operating procedure: A documented method for performing a recurring task.

Scalability: The ability to increase activity without proportionate loss of performance or control.

Governance: The structures and processes used to direct, control and review an organisation.

Working capital: Funds required to support day-to-day operating activities.

Review Questions

Short Answer Questions

1. What is an operating model, and how does it differ from a business model?
2. Distinguish between a resource and a capability.
3. What is a bottleneck, and why is it important in process planning?
4. State four criteria for selecting a supplier.
5. Why should quality be designed into processes rather than checked only at the end?

Long Answer Questions

1. Explain how a process map can help an entrepreneur identify operational risks and improvement opportunities.
2. Discuss the advantages and risks of outsourcing activities in a new venture.
3. Explain the factors that should guide the selection of distribution channels.
4. Describe the main components of a staffing and capability-development plan.
5. Discuss how technology, data governance and AI can support an operating model while creating new risks.

Analytical / Application Questions

1. A small catering venture receives more orders than its kitchen can prepare. Analyse the likely bottleneck and recommend two short-term and two long-term responses.
2. Design a supplier and partnership plan for a business that sells environmentally responsible household products. Include selection criteria, controls and contingency arrangements.
3. Using the GreenBasket case, propose three performance indicators and explain how each could reveal a different operational problem.

Multiple Choice Questions with Answers

Question 1

Which statement best describes an operating model?

A. A statement of the founder’s personal goals

B. A system showing how processes, resources and roles deliver value

C. A list of expected annual sales only

D. A promotional plan for attracting customers

Correct Answer: B. A system showing how processes, resources and roles deliver value

Question 2

A process has three workers, each with 5 productive hours per day. Each unit requires 30 minutes, and efficiency is 80%. What is the effective daily capacity?

A. 16 units

B. 20 units

C. 24 units

D. 30 units

Correct Answer: C. 24 units

Question 3

Which activity is most clearly a back-stage activity in a service business?

A. Consulting with the customer

B. Greeting the customer

C. Processing the internal schedule

D. Demonstrating the service

Correct Answer: C. Processing the internal schedule

Question 4

Average demand is 8 units per day, lead time is 5 days and safety stock is 12 units. What is the reorder point?

A. 20 units

B. 40 units

C. 52 units

D. 60 units

Correct Answer: C. 52 units

Question 5

Which factor is least appropriate as the sole basis for supplier selection?

A. Purchase price

B. Reliability

C. Quality performance

D. Ethical and regulatory conduct

Correct Answer: A. Purchase price

Question 6

What is a major risk of using multiple distribution channels?

A. The business will have no customer access

B. Channel conflict and inconsistent customer information

C. All operating costs will automatically disappear

D. Quality control becomes unnecessary

Correct Answer: B. Channel conflict and inconsistent customer information

Question 7

Which item should normally be clarified in a partnership agreement?

A. The founder’s preferred leadership style only

B. Responsibilities, service levels and dispute procedures

C. The personal hobbies of partner employees

D. An unlimited right to change obligations without notice

Correct Answer: B. Responsibilities, service levels and dispute procedures

Question 8

Which statement best distinguishes capacity from demand?

A. Capacity is the amount customers want; demand is the production limit

B. Capacity and demand always have the same value

C. Capacity is an operational limit; demand is the quantity customers seek

D. Demand applies only to services

Correct Answer: C. Capacity is an operational limit; demand is the quantity customers seek

Question 9

Which is an example of a preventive quality control?

A. Ignoring customer complaints

B. Inspecting supplier inputs against defined specifications

C. Removing all performance measures

D. Advertising a product before testing it

Correct Answer: B. Inspecting supplier inputs against defined specifications

Question 10

Why is human oversight important when AI is used in business operations?

A. AI systems never process information accurately

B. Human oversight can address errors, bias, confidentiality and accountability

C. AI can legally replace every managerial decision

D. Human oversight eliminates the need for data security

Correct Answer: B. Human oversight can address errors, bias, confidentiality and accountability