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Innovation doesn't happen by accident—it follows patterns that researchers and practitioners have studied for decades. When you're tested on innovation management, you're not just being asked to name models. You're being assessed on whether you understand why certain approaches work in specific contexts, how companies choose between competing frameworks, and when to apply each model based on organizational goals and market conditions.
These models represent fundamentally different philosophies about where innovation comes from, who should be involved, and how to manage uncertainty. Some prioritize speed and iteration; others emphasize structure and risk reduction. Some look inward for ideas; others deliberately seek external input. Master the underlying logic of each approach, and you'll be able to analyze any innovation scenario on an exam. Don't just memorize the names and founders—know what problem each model solves and when it's the right tool for the job.
These models focus on creating entirely new competitive spaces rather than fighting for share in existing markets. The core principle: sometimes the best strategy is to change the game entirely rather than play by existing rules.
Compare: Disruptive Innovation vs. Blue Ocean Strategy—both seek to escape direct competition, but disruption typically starts at the low end of markets while Blue Ocean can target any segment with a unique value proposition. If an FRQ asks about creating new markets, specify which approach fits the scenario.
These frameworks place deep understanding of customer needs at the center of the innovation process. The underlying insight: successful innovation solves real problems for real people, not just what companies think customers want.
Compare: Design Thinking vs. Jobs-to-be-Done—both center on customer needs, but Design Thinking emphasizes iterative prototyping and experimentation, while Jobs-to-be-Done focuses on identifying stable, underlying motivations that persist over time. Use Design Thinking for how to innovate; use JTBD for what to innovate.
These approaches prioritize rapid learning and adaptation over extensive upfront planning. The governing principle: in uncertain environments, fast feedback beats perfect forecasting.
Compare: Lean Startup vs. Business Model Canvas—Lean Startup is a process for testing hypotheses; Business Model Canvas is a tool for mapping what to test. Most practitioners use them together—the Canvas identifies assumptions, and the Lean approach validates them.
These frameworks bring discipline and systematic evaluation to innovation, reducing risk through defined stages and criteria. The core trade-off: more structure reduces costly failures but may slow breakthrough innovation.
Compare: Stage-Gate vs. Diffusion of Innovation—Stage-Gate manages the internal innovation process; Diffusion theory explains external market adoption. A product can pass all gates but still fail to diffuse if it doesn't address adopter concerns.
These frameworks address where innovative ideas originate and how organizations can access them. The fundamental question: should innovation come from inside the organization, outside, or both?
Compare: Open Innovation vs. Technology Push/Pull—Open Innovation addresses who contributes ideas (internal vs. external); Push/Pull addresses what drives innovation (capability vs. demand). An organization can use open innovation for either push or pull strategies.
| Concept | Best Examples |
|---|---|
| Creating new markets | Disruptive Innovation, Blue Ocean Strategy |
| Customer understanding | Design Thinking, Jobs-to-be-Done |
| Rapid iteration and learning | Lean Startup, Business Model Canvas |
| Structured risk reduction | Stage-Gate Model |
| Market adoption dynamics | Diffusion of Innovation Theory |
| Knowledge sourcing | Open Innovation, Technology Push/Pull |
| Process methodology | Design Thinking (5 stages), Stage-Gate, Build-Measure-Learn |
| Strategic visualization | Business Model Canvas, Strategy Canvas |
Which two models both aim to escape direct competition, and how do their starting points differ?
A company wants to understand why customers buy their product. Should they use Design Thinking or Jobs-to-be-Done first, and why might they eventually use both?
Compare the Stage-Gate Model and Lean Startup Methodology: what type of organization or project is each best suited for, and what's the key trade-off between them?
If an FRQ describes a breakthrough technology searching for applications, which model (Technology Push or Market Pull) applies, and what risks should the company consider?
Using Diffusion of Innovation Theory, explain why a product that performs well in early testing might still fail to achieve mainstream adoption—and which adopter category represents the critical transition point.