Technology, Innovation & Entrepreneurship

Chapter 8 — Building Advantage Where the Rules Are Still Being Written

Learning Objectives

After completing this chapter, students should be able to:

Distinguish between product, process, and business-model innovation, and place each on the incremental–disruptive spectrum.
Apply the S-curve model to predict when a maturing technology will be displaced by an emerging one.
Differentiate between sustaining and disruptive innovations (Christensen) and identify the structural reasons incumbents typically lose to disruptors.
Recognize the strategic role of complementary assets (Teece) in determining whether innovators or imitators capture the value created.
Apply opportunity-recognition thinking from entrepreneurship — the lens of the Lean Startup and Effectuation — to both new ventures and corporate innovation efforts.

8.1 Why Innovation Is the Central Strategic Problem

Strategy in stable industries is mostly about positioning within a known game. Strategy in dynamic industries is mostly about innovation — changing the game itself.

Recall the data on accelerating technological adoption: the telephone took 75 years to reach 50% of US households; the smartphone, 6 years; ChatGPT, less than 2 months to reach 100 million users. Industry stability is the exception, not the norm. Every firm — and every entrepreneur entering the market — must therefore answer two questions:

What innovations are happening in our environment? (sensing — Chapter 6)
Are we positioned to lead, follow, or be displaced by them?

This chapter provides the analytical apparatus to answer both.

8.2 Types of Innovation

Innovation is not one thing. A useful taxonomy distinguishes what is being innovated and how much it changes:

8.2.1 Three Types: Product, Process, Business Model

Type	Definition	Example
Product Innovation	A new or significantly improved offering	iPhone, mRNA vaccines, electric vehicles
Process Innovation	A new or significantly improved way of producing	Toyota Production System, TSMC EUV lithography, AI-assisted code generation
Business Model Innovation	A new way of creating, delivering, and capturing value	Netflix subscription streaming, Uber on-demand transport, TSMC pure-play foundry

The most powerful firms innovate on all three simultaneously. TSMC delivers product innovation (advanced nodes), process innovation (yield rates), and business-model innovation (foundry-only positioning). Apple delivers product (iPhone), process (vertical hardware-software integration), and business model (App Store ecosystem).

8.2.2 Incremental vs. Radical vs. Disruptive

The degree of innovation also matters:

flowchart LR
    INC["Incremental: Small improvements to existing offerings"]
    RAD["Radical: Major leap in performance or capability"]
    DISR["Disruptive: Reframes what customers buy and how"]
    INC --> RAD
    RAD --> DISR
    style INC fill:#FAF6F0,stroke:#004030
    style RAD fill:#D8C3A5,stroke:#004030
    style DISR fill:#004030,stroke:#004030,color:#FFFFFF

Incremental innovation dominates day-to-day R&D — faster chips, better batteries, refined formulas. Cumulative effect over decades is enormous, but each individual step is small.
Radical innovation introduces significantly new technologies — synthetic biology, quantum computing, fusion energy. Often takes decades to reach commercial impact.
Disruptive innovation (a specific concept introduced by Clayton Christensen — see Section 8.4) is not the same as “radical.” Disruptive innovations often start as inferior in mainstream metrics but win because they redefine which metrics matter.

8.3 The S-Curve of Technology

Most technologies follow an S-shaped performance curve over time:

flowchart LR
    A["Early phase: Slow improvement"]
    B["Mid phase: Rapid improvement"]
    C["Mature phase: Diminishing returns"]
    D["Limit reached"]
    A --> B
    B --> C
    C --> D
    style A fill:#FAF6F0,stroke:#004030
    style B fill:#D8C3A5,stroke:#004030
    style C fill:#EFE4D2,stroke:#004030
    style D fill:#FAF6F0,stroke:#6B6B6B

In the early phase, the technology is immature and improvements come slowly. In the growth phase, rapid advances generate competitive turbulence. In the mature phase, returns to R&D diminish — the technology approaches its physical or economic limits.

The strategic insight: two S-curves rarely overlap smoothly. As one technology matures, a new technology emerges along its own S-curve — initially performing worse than the mature one in most dimensions but improving rapidly. The firms that dominate the old curve usually struggle to make the leap.

Examples of S-curve transitions

Vacuum tubes → Transistors (1950s) — RCA, the vacuum-tube leader, never dominated transistor radios.
Photographic film → Digital sensors (1990s–2000s) — Kodak invented the digital sensor but couldn’t pivot.
Internal-combustion → Electric drivetrains (2010s–present) — Tesla, founded 2003, is the leading EV brand; Toyota, the world’s most efficient ICE manufacturer, is a follower.
Search → Generative AI (2022–present) — Google had the technology earlier but OpenAI shipped first; the competitive game is still unfolding.

In each case, incumbent dominance on the old curve was a partial handicap in pivoting to the new curve.

8.4 Christensen’s Disruptive Innovation Theory

Clayton Christensen’s The Innovator’s Dilemma (1997) is one of the most influential strategy books of the past 30 years. His core argument:

The Innovator’s Dilemma in two paragraphs

Sustaining innovations improve performance along the dimensions that mainstream customers already value. Incumbents typically lead sustaining innovation — they have the resources, customer relationships, and incentives to do so.

Disruptive innovations start out as inferior on mainstream performance dimensions but offer a new value proposition — often simpler, cheaper, more convenient. They first take root in low-end or non-consumption markets that incumbents rationally ignore. Over time, the disruptive technology improves until it can serve mainstream customers — and now the incumbents are too late.

The dilemma: incumbents are punished, not rewarded, for paying attention to disruptive entrants in the early stages. Listening to current customers, allocating resources to high-margin segments, and rejecting low-margin opportunities is “good management” — and exactly what causes incumbents to lose.

8.4.1 Classic Examples

Steel mini-mills (Nucor) disrupted integrated steel mills (US Steel) by starting at the low-end (rebar) and moving upmarket.
Personal computers disrupted minicomputers and mainframes by starting in homes and small offices.
Smartphones disrupted PCs for many use cases by being “good enough” while always-on and pocket-sized.
Tesla disrupted luxury cars first (Roadster, Model S) and is moving downmarket — an inverted disruption pattern debated among scholars but recognizably Christensen-shaped.

8.4.2 Avoiding Disruption — What Incumbents Can Do

The escape strategies are difficult but known:

Run separate organizations for the disruptive technology, with separate metrics, customers, and culture (the ambidextrous organization from Chapter 6).
Acquire the disruptive entrants early, before market-cap divergence makes acquisition prohibitive.
Cannibalize own products deliberately — better to disrupt yourself than be disrupted by others.
Maintain optionality through investments in adjacent technologies that may become disruptive.

8.5 Who Captures the Value? — Teece’s Complementary Assets

A firm that creates an innovation does not automatically profit from it. Why? Because creating value is different from capturing value.

David Teece’s classic 1986 framework identifies two factors that determine whether innovators or imitators win:

Appropriability regime — How well can the innovation be protected? Patents, trade secrets, tacit know-how, network effects all increase appropriability.
Complementary assets — What other resources are needed to commercialize the innovation? Manufacturing, distribution, brand, after-sales service?

flowchart TB
    INV["Innovation invented"]
    Q1["Strong appropriability + Complementary assets owned by innovator"]
    Q2["Weak appropriability + Complementary assets owned by others"]
    O1["Innovator captures most value"]
    O2["Owners of complementary assets capture value"]
    INV --> Q1
    INV --> Q2
    Q1 --> O1
    Q2 --> O2
    style O1 fill:#004030,stroke:#004030,color:#FFFFFF
    style O2 fill:#EFE4D2,stroke:#004030

Examples:

EMI invented the CT scanner but lacked medical-equipment distribution. GE captured most of the value through its complementary assets in healthcare distribution and service.
Xerox PARC invented the GUI but Apple commercialized it; Microsoft then dominated through its complementary asset of OEM PC distribution.
OpenAI created ChatGPT but the long-run value capture depends on whether they can build complementary assets (compute, distribution, enterprise relationships) before competitors with stronger existing assets (Microsoft, Google, Amazon) replicate the core technology.

The strategic implication: before pursuing an innovation, map who owns the complementary assets. If you don’t own them, plan how to acquire, build, or partner for them — or expect to capture only a small share of the value you create.

8.6 The Entrepreneurial Lens — Opportunity Recognition

For new ventures and corporate innovators alike, the central skill is opportunity recognition (機會辨識): seeing patterns in customer needs, technology shifts, and resource availability that others have not yet integrated.

Two influential modern frameworks:

8.6.1 The Lean Startup (Ries, 2011)

Eric Ries’s framework treats startups as experiments rather than execution plans. Key concepts:

Minimum Viable Product (MVP, 最小可行產品) — the smallest offering that lets you learn whether customers want what you’re building.
Validated learning — replacing opinions with data through deliberate customer experiments.
Build–Measure–Learn cycle — short iterations that update strategy based on real-world feedback.
Pivot vs. Persevere — disciplined decision points about whether to change direction.

The Lean Startup philosophy is powerful inside large firms too — corporate innovation initiatives that adopt MVP discipline outperform those that build comprehensive products before testing demand.

8.6.2 Effectuation (Sarasvathy, 2008)

Saras Sarasvathy’s research on expert entrepreneurs revealed they think differently from textbook strategists:

Causal logic (textbook)	Effectual logic (expert entrepreneurs)
Start with the goal; find means to achieve it	Start with the means available; explore goals achievable
Predict the future; choose the best plan	Take action; let the future emerge from action
Compete to capture market share	Co-create with stakeholders who self-select in
Avoid surprises	Leverage surprises as opportunities
Maximize expected returns	Manage downside (affordable loss)

Effectuation explains why many successful entrepreneurs built businesses very different from their initial plans — they responded to opportunities and constraints as they emerged. This is the entrepreneurial counterpart to Mintzberg’s emergent strategy (Chapter 1).

8.7 Innovation in 2026 — The GenAI Acceleration

Three patterns dominate innovation strategy in 2026:

Time-to-market collapse — AI-assisted development compresses prototyping cycles. Solo founders can ship products that previously required teams of ten.
Differentiation moves up the stack — When everyone has access to similar AI capabilities, advantage shifts to proprietary data, distribution, and trust. Models commoditize; user relationships become the moat.
Continuous launch culture — Software products iterate weekly; even hardware products use OTA updates to ship new value post-launch (Tesla’s autopilot, smartphone camera improvements).

The strategic implication for incumbents: the pace of disruption has accelerated, but so has the pace at which incumbents can respond — if they have built dynamic capabilities. Christensen’s framework is more relevant, not less.

For entrepreneurs: opportunity windows are shorter. Lean Startup discipline matters more, not less, when AI lets competitors clone your MVP in weeks.

Self-Check Questions

Question 1 — Innovation Type Diagnosis

For each innovation, classify it as primarily product, process, business model, or a combination. Then place it on the incremental–radical–disruptive spectrum:

Tesla’s over-the-air software updates that change vehicle behavior.
Foxconn’s adoption of robotic assembly lines.
Spotify’s transition from à la carte downloads to subscription streaming.
Apple’s introduction of the M-series silicon chip.
Shopify’s enabling small merchants to launch online stores.
Generative-AI-assisted code review tools used in software development.

Question 2 — S-Curve Diagnosis

For one of the following industries, sketch the S-curve trajectory and identify the next-generation technology threatening to displace the current curve:

Internal-combustion automotive engines.
Traditional broadcast television.
Conventional banking branch infrastructure.
Silicon-based semiconductor process technology.
Petroleum-based plastics.

For your chosen industry, which incumbent firm seems best positioned to make the transition, and which is most at risk of being left behind?

Question 3 — Disruption or Sustaining?

For each pair below, identify which is the disruptive innovation and which is sustaining. Justify by reference to Christensen’s definition (initial customer base, performance dimension, trajectory):

Conventional taxi services vs. Uber.
Traditional banking vs. mobile-only neobanks (e.g., Revolut, LINE Bank).
Hollywood theatrical releases vs. Netflix originals.
Traditional retail vs. Costco’s warehouse model.
Symbian smartphones (Nokia, 2005) vs. early iPhone (2007).

Question 4 — Complementary Assets Mapping

Pick a recent innovation from a Taiwan firm (e.g., a TSMC process generation, a Garmin product line, a 美安 Mei An biotech innovation, a Largan optics breakthrough).

Identify the complementary assets needed to commercialize the innovation (manufacturing, distribution, brand, regulatory approvals, etc.).
Are these complementary assets owned by the focal firm, by partners, or by potential competitors?
Predict who will capture the most value from this innovation, and explain why.
What strategic moves could the firm make now to strengthen its position on complementary assets?

Looking Ahead

Chapters 1–8 have built the business strategy core: how a firm competes within a defined arena. Starting in Chapter 9, we shift focus to corporate strategy — the higher-level question of which arenas a firm should compete in. We begin with vertical integration: should a firm make or buy each step of its value chain? This question, deceptively simple, drives some of the largest strategic decisions multinational corporations make.