factors which influence the location decisions of a service business

4.6.1 Factors Influencing Location & Relocation Decisions (Service Business)

Objective

Students will be able to:

• Define the key terminology (AO1).
• Identify and evaluate the range of factors that affect where a service‑oriented business chooses to locate or relocate (AO2).
• Apply a systematic decision‑making process – including market research, weighted‑scoring, break‑even and cash‑flow analysis – to a realistic scenario (AO3).
• Make a justified recommendation and discuss the likely impact on stakeholders (AO4).

Key Terms (AO1)

Footfall

The number of people who pass a potential site in a given period – a measure of potential customers.

Clustering

When similar businesses locate close together, creating a “shopping destination”.

Weighted‑scoring model

A decision‑making tool that assigns a weight (importance) to each factor and scores each site against those factors.

Break‑even point (BEP)

The level of sales at which total revenue equals total costs (including rent).

Cash‑flow forecast

A projection of cash inflows and outflows over a future period, used to test the affordability of a site.

Zoning / planning permission

Legal controls that determine what type of business may operate in a particular area.

External influences

Economic, environmental, ethical, legal and international factors that affect business decisions.

1. Why Location Is Critical for Service Businesses

• Services are intangible and sold directly to customers; proximity to the target market often determines the volume of sales.
• Unlike manufacturers, service firms do not need raw‑material inputs, but they rely heavily on footfall, accessibility, brand image and the availability of skilled staff.
• Location decisions must align with the business’s overall objectives (e.g., profit maximisation, market share, corporate social responsibility) and consider the interests of stakeholders such as owners, employees, customers and the local community.

2. Factors Influencing Location Decisions

2.1 Service‑specific factors

2.2 Manufacturing‑type factors (relevant when a service firm also handles physical goods or equipment)

2.3 People‑related considerations (Business Studies Unit 2)

• Labour‑cost levels – average wages in the area affect overall operating costs.
• Union presence / employment legislation – may restrict opening hours or staffing patterns.
• Training facilities – proximity to colleges or training centres can reduce recruitment costs.

2.4 Marketing linkages (Business Studies Unit 3)

• Market research data – footfall surveys, competitor mapping and customer questionnaires feed directly into the weighted‑scoring model.
• 4 Ps interaction – “Place” influences “Price” (premium locations justify higher prices) and “Promotion” (visibility of signage, local advertising opportunities).

2.5 Operations & cost considerations (Business Studies Unit 4)

• Fixed costs – rent, rates and utilities are largely independent of sales volume.
• Break‑even analysis – incorporates rent to show the sales level needed to cover all costs.

2.6 Financial implications (Business Studies Unit 5)

• Cash‑flow impact – high rent reduces operating cash, affecting working‑capital requirements.
• Financing the site – lease agreements, bank loans or franchisor funding must be reflected in cash‑flow forecasts.

2.7 External influences (Business Studies Unit 6)

• Economic – local unemployment, inflation and interest rates affect consumer spending and rent levels.
• Environmental – energy‑efficiency standards, waste‑disposal regulations and “green” image considerations.
• Ethical / social – accessibility for disabled customers, community impact, corporate social responsibility.
• International – for franchises, exchange‑rate movements can affect royalty payments and import costs of equipment.

3. Decision‑Making Process for Site Selection

1. Define the target market and its location preferences.
2. Identify relevant factors (from sections 2.1‑2.7) and assign a weight (% importance) to each.
3. Collect quantitative data for each potential site (footfall counts, rent, competition, parking, infrastructure, etc.).
4. Convert raw data to a rating scale (1‑5) where 5 = most favourable.
5. Calculate weighted scores: Rating × Weight for each factor, then sum to obtain a total score for each site.
6. Run a simple break‑even analysis to check whether the projected sales at the chosen site will cover the added rent and other fixed costs.
7. Prepare a cash‑flow forecast (12‑month horizon) to confirm the site is affordable and does not create a cash‑flow shortfall.
8. Evaluate non‑quantifiable issues (brand image, future development, ethical considerations).
9. Make a justified recommendation and outline any monitoring arrangements.

4. Relocation Drivers for Service Firms

• Significant growth in customer numbers requiring larger premises.
• Sharp increase in rent, rates or utility costs.
• Emergence of a superior competitor location that draws away footfall.
• Redevelopment of the surrounding area (road widening, new shopping centre, demolition).
• Changes in legal controls (new zoning, stricter health‑safety rules).
• Desire to reposition the brand (e.g., moving from a budget to a premium image).
• Environmental or ethical pressures (e.g., need for a more energy‑efficient building).

5. Comparison of Location Priorities for Different Service Types

6. Illustrative Example – Site Selection for a New Café

1. Target market: university students and young professionals (ages 18‑35).
2. Potential sites:
   • Site A – City‑centre high‑street shop (high footfall, high rent).
   • Site B – Unit in a shopping mall close to the university (moderate footfall, lower rent, ample parking).
3. Factors, weights and raw data (see table below).
4. Step 1 – Convert to ratings (1‑5):
   • Footfall: 2 800 → 5, 1 800 → 3
   • Rent (£/m²): £35 → 1, £22 → 5 (lower rent is better)
   • Rival cafés: 5 → 1, 2 → 4
   • Parking spaces: 2 → 1, 12 → 5
   • Future development: +10 % → 3, +25 % → 5
5. Step 2 – Weighted scores (Weight % × Rating):

   Factor	Weight	Site A	Site B
   Footfall	30 %	5 × 30 = 150	3 × 30 = 90
   Rent	25 %	1 × 25 = 25	5 × 25 = 125
   Rival cafés	15 %	1 × 15 = 15	4 × 15 = 60
   Parking	15 %	1 × 15 = 15	5 × 15 = 75
   Future development	15 %	3 × 15 = 45	5 × 15 = 75
   Total		290	425

6. Step 3 – Break‑even check (simplified):
   • Assumed monthly fixed costs: rent + rates + utilities ≈ £4 500 (Site A) vs. £2 800 (Site B).
   • Average contribution margin per customer = £4.
   • BEP (customers/month) = Fixed Costs ÷ £4 → 1 125 (Site A) vs. 700 (Site B).
   • Projected footfall suggests Site B can meet its BEP more comfortably.
7. Step 4 – Cash‑flow forecast (first 3 months) (illustrative):

   Month	Site A Cash‑in (£)	Site A Cash‑out (£)	Site B Cash‑in (£)	Site B Cash‑out (£)
   1	12 000	9 500	9 000	7 200
   2	13 500	9 500	10 500	7 200
   3	15 000	9 500	12 000	7 200

   Both sites generate a positive cash flow, but Site B provides a larger net surplus and lower risk.

8. Recommendation: Choose Site B** – it scores higher on the weighted‑scoring model, meets the break‑even requirement with fewer customers, and yields a healthier cash‑flow while still offering good footfall and future growth potential.
9. Future relocation trigger: If annual sales exceed the capacity of the mall unit (e.g., > 30 % growth), the business should monitor larger premises in the same district to avoid crowding and maintain service quality.

7. Depth‑of‑Analysis Exercise (AO3)

Using the data in the table above, calculate the weighted scores for Site A and Site B, then write an evaluation (max 80 words) recommending the better site.

8. Suggested Diagram

9. Summary Checklist – Decision‑Making Process

1. Identify the primary customer group(s) and their location preferences.
2. List all relevant factors (service‑specific, people, marketing, operations, finance, external).
3. Assign a weight (%) to each factor based on its importance.
4. Gather quantitative data for each potential site.
5. Convert data to a 1‑5 rating and calculate weighted scores.
6. Run a break‑even analysis and a short‑term cash‑flow forecast.
7. Consider non‑quantifiable issues (brand image, ethical concerns, future development).
8. Prepare a pros‑cons table, state total scores, and write a justified recommendation.
9. Identify possible relocation triggers and outline a monitoring plan.

10. Practice Questions (AO2‑AO4)

1. Explain why “customer proximity” is usually the most critical factor for a retail service business.
2. List three advantages and two disadvantages of locating a health clinic in a city centre.
3. Using the comparison table in section 5, contrast the location priorities of a bank and a café. Identify one factor they share and explain why it is important to both.
4. Describe how future development plans can both positively and negatively affect a service business’s location decision.
5. Given the data set in section 6, calculate the weighted scores for Site A and Site B and write a brief evaluation (max 80 words) recommending the better site.
6. Discuss two reasons why a service firm might decide to relocate after three years of operation, linking each reason to a specific factor from section 2.
7. Explain how a rise in local interest rates could influence the choice of a site for a new restaurant.
8. Analyse the impact of an environmental regulation requiring energy‑efficient lighting on the cost of premises for a gym.