Business Models and Innovation

The Business Model Canvas (Osterwalder and Pigneur, 2010) is a visual tool that describes how an organisation creates, delivers, and captures value. It consists of nine building blocks:

Using the Canvas: Map the current business model to understand how value flows. Then explore changes — what if we target a different customer segment? add a new revenue stream? change the channel? The Canvas is a tool for business model innovation, not just description.

A platform business model creates value by facilitating interactions between two or more user groups (a multi-sided market). The platform does not own the means of production — it connects producers and consumers.

Examples: Uber (connecting drivers and riders), Airbnb (hosts and guests), Amazon Marketplace (sellers and buyers), Google (advertisers and search users), Apple App Store (developers and users), Visa/Mastercard (merchants and cardholders).

Network effects:

• Direct (same-side) network effects: The value increases as more users of the same type join — e.g., social media (the more friends on the platform, the more valuable it is to each user)
• Indirect (cross-side) network effects: The value increases as more users of the other type join — e.g., more riders on Uber attracts more drivers, which reduces wait times and attracts more riders. A virtuous cycle.

Strategic implications:

• Winner-takes-most: Strong network effects can lead to market dominance — once a platform achieves critical mass, it becomes increasingly difficult for competitors (the installed base creates a self-reinforcing advantage)
• Chicken-and-egg problem: The platform needs both sides to be valuable — but neither side will join without the other. Strategies to solve this: subsidise one side (e.g., free for users, charge merchants), launch with a single-side value proposition first, seed the platform with initial content/supply
• Monetisation: Charge one side (usually the side that values access to the other more), charge both sides, take a transaction fee, or monetise through advertising/data

A subscription model charges customers a recurring fee (monthly, annually) for ongoing access to a product or service, rather than a one-time purchase.

Examples: Netflix (streaming), Spotify (music), Adobe Creative Cloud (software), Salesforce (CRM SaaS), gym memberships, meal kit deliveries, insurance premiums.

Strategic advantages:

• Predictable, recurring revenue: Subscription revenue is more predictable than one-off sales — easier to forecast, plan, and value the business
• Higher customer lifetime value (CLV): Ongoing relationship generates more revenue per customer over time than a single transaction
• Lower customer acquisition cost per £ of revenue: Once acquired, the customer generates revenue repeatedly without the need for constant re-selling
• Data and personalisation: Ongoing relationships generate usage data that can be used to personalise the service, improve retention, and cross-sell
• Switching costs: Customers build habits, data, and preferences on the platform — increasing the cost (real or perceived) of switching to a competitor

Key metrics for subscription businesses: Monthly recurring revenue (MRR), annual recurring revenue (ARR), churn rate (% of subscribers who cancel), customer acquisition cost (CAC), customer lifetime value (CLV), CLV:CAC ratio (should be >3:1 for sustainability).

Challenges: High initial customer acquisition costs (must invest before revenue flows), churn management (keeping subscribers engaged), pricing sensitivity (customers may resist price increases), need for continuous value delivery (subscribers cancel if they stop seeing value).

Clayton Christensen (1997, The Innovator's Dilemma) distinguished between two types of innovation:

Sustaining innovation: Improves existing products along the dimensions that mainstream customers value most. Incumbent firms are typically good at this — they invest in improving their current products for their best customers. Examples: faster processors, better cameras, higher-resolution screens.

Disruptive innovation: Introduces a product that is initially simpler, cheaper, or more convenient — but performs worse on the traditional dimensions valued by mainstream customers. It appeals to low-end or non-consumers (people who were previously unable or unwilling to use the existing product). Over time, the disruptive product improves and eventually displaces the incumbent.

Two types of disruption:

• Low-end disruption: Targets overserved customers at the bottom of the market who do not need all the features of the existing product and would prefer a simpler, cheaper alternative. Example: budget airlines (Ryanair) disrupting full-service carriers.
• New-market disruption: Creates an entirely new market by serving people who previously were non-consumers. Example: personal computers (initially inferior to mainframes, but brought computing to individuals and small businesses who could not afford mainframes).

The Innovator's Dilemma: Incumbent firms fail to respond to disruption because: (1) the disruptive product initially targets customers the incumbent does not care about (low-end or non-consumers), (2) the incumbent's best customers do not want the inferior disruptive product, (3) the incumbent's cost structure and processes are optimised for the existing product and market, and (4) investing in disruption cannibalises the existing profitable business. By the time the disruptive product improves enough to threaten the mainstream, it is too late for the incumbent to catch up.

Implications for strategy: Incumbents should: monitor low-end and new-market entrants, set up autonomous units to explore disruptive opportunities (separate from the mainstream business), and be willing to cannibalise their own products before a disruptor does it for them.

Blue Ocean Strategy (2005) argues that firms should stop competing in overcrowded "red oceans" (existing markets with intense competition) and instead create "blue oceans" — new, uncontested market space where competition is irrelevant.

Value innovation: The cornerstone of blue ocean strategy. Instead of choosing between differentiation and low cost (Porter's trade-off), value innovation pursues both simultaneously — creating a leap in value for buyers while reducing costs. This is achieved by eliminating and reducing factors the industry takes for granted, while raising and creating factors the industry has never offered.

The Four Actions Framework (ERRC):

The Strategy Canvas: A diagnostic tool that plots the current competitive landscape. The horizontal axis shows the key competitive factors in the industry; the vertical axis shows the level of offering. The value curve shows how an organisation performs on each factor. A blue ocean strategy creates a divergent value curve — different from competitors, not just better or worse on the same factors.

Example — Cirque du Soleil: Eliminated: star performers, animal shows, aisle concession sales, multiple show arenas. Reduced: danger, humour. Raised: unique venue, artistic music and dance. Created: theme, refined watching environment, multiple productions. Result: a new entertainment category that attracted theatre and circus audiences at premium prices.

Open innovation (Chesbrough, 2003) challenges the traditional "closed" model where all innovation happens inside the firm's own R&D labs. Instead, open innovation argues that firms should use both internal and external ideas and both internal and external paths to market.

Closed innovation (traditional): The firm generates ideas internally, develops them in-house, and brings them to market through its own channels. "Not invented here" syndrome — external ideas are rejected. High R&D costs, long development cycles.

Open innovation:

• Outside-in: Bring external ideas, technologies, and knowledge INTO the firm — through: acquisitions, licensing-in, partnerships, crowdsourcing, university collaborations, start-up scouting, hackathons, open-source communities
• Inside-out: Allow internal ideas and technologies that don't fit the firm's business to flow OUT — through: licensing-out, spin-offs, joint ventures, open-source contributions. Generates revenue from IP that would otherwise sit unused.

Examples: Procter & Gamble's "Connect + Develop" programme (sources 50%+ of innovation from external partners), pharmaceutical companies licensing drug candidates from biotech start-ups, LEGO Ideas (customers submit product designs for potential production).

Benefits: Access to a wider pool of ideas, reduced R&D cost and time, accelerated innovation, shared risk. Risks: IP leakage, difficulty managing external relationships, integration challenges, loss of core competence if over-reliant on external sources.

The lean startup (Eric Ries, 2011) is a methodology for developing businesses and products under conditions of extreme uncertainty. It emphasises rapid experimentation over lengthy planning.

Core principles:

1. Build-Measure-Learn feedback loop:

• Build: Create a Minimum Viable Product (MVP) — the simplest version of the product that allows you to start learning. Not a finished product — just enough to test the key hypothesis.
• Measure: Collect data on how customers respond to the MVP. Use actionable metrics (not vanity metrics like total sign-ups — focus on engagement, retention, conversion, willingness to pay).
• Learn: Analyse the data to determine whether the underlying business hypothesis is validated or invalidated. This is validated learning — learning that is backed by empirical data, not assumptions.

2. Pivot or persevere:

• If the hypothesis is validated → persevere (continue developing and scaling)
• If the hypothesis is invalidated → pivot (change direction — a structured course correction). Types of pivot: zoom-in (a single feature becomes the whole product), customer segment pivot, platform pivot, channel pivot, revenue model pivot.

3. Innovation accounting: Track progress using metrics that measure genuine business progress — customer acquisition cost, lifetime value, engagement, retention — not vanity metrics (total downloads, page views).

Application beyond start-ups: Large organisations can apply lean startup principles to new product development, internal innovation projects, and corporate ventures. It reduces the risk of investing heavily in unvalidated ideas.

Design thinking is a human-centred approach to innovation that draws from the designer's toolkit. It focuses on understanding user needs and developing creative solutions through iterative prototyping and testing.

Five stages (Stanford d.school model):

1. Empathise: Deeply understand the user's needs, desires, and pain points. Observe behaviour, conduct interviews, immerse yourself in the user's experience. The goal is to set aside your own assumptions and see the problem from the user's perspective.
2. Define: Synthesise the empathy research to define the core problem statement (a "point of view"). Frame the problem in a human-centred way: "[User] needs [need] because [insight]."
3. Ideate: Generate a wide range of creative solutions. Use brainstorming, mind mapping, "How Might We" questions, and other techniques. Quantity over quality at this stage — divergent thinking. Defer judgement.
4. Prototype: Build quick, low-cost prototypes of the most promising ideas. A prototype is anything that takes a physical form — a model, a storyboard, a wireframe, a role-play, a landing page. The purpose is to learn, not to build a finished product.
5. Test: Put the prototype in front of real users and observe their reactions. Gather feedback. Refine the solution based on what you learn. This is iterative — go back to earlier stages as needed.

Key principles: Human-centred (start with the user, not the technology), bias toward action (prototype and test rather than just analyse), embrace failure (early failures = learning), iteration (refine through multiple cycles), collaboration (cross-functional teams bring diverse perspectives).

Comparison with lean startup: Design thinking focuses on understanding the problem (empathise → define → ideate). Lean startup focuses on testing the solution (build MVP → measure → learn). They are complementary — design thinking can feed into the lean startup loop.