Construct · 6 fields · 11 citations

Where does innovation collide?

One name. Different field. Different construct. One map.

● jingle · one name, six constructs Nearest construct by meaninginventioncompare the meanings
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Every construct on the map is compared with every other by the meaning of its definitions, and the closest one is surfaced here. The nearest construct to innovation is invention.

Hold this as a prompt, not a verdict. Two constructs sitting close in meaning is a reason to read them side by side and decide for yourself whether they are one idea under two names. It is not proof that they are. Compare the meanings in the Collider.

SCHUMPETER → NATIONAL SYSTEMSADOPTER → ADOPTING FIRMinnovation6 CONSTRUCTSEconomicsNEW COMBINATIONSPolicy / systemsNATIONAL SYSTEMSMeasurementOSLO MANUAL · ARCHITECTUREStrategyDISRUPTIVE · OPENOrganization / ISADOPTION · NEW TO THE FIRMDiffusionPERCEIVED NEW · S-CURVE

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2026

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Economics

Innovation as a new combination that disrupts equilibrium

The carrying out of new combinations (a new good, a new method of production, a new market, a new source of supply, a new form of organization) by an entrepreneur, which breaks the circular flow of the economy and drives development. Schumpeter fixed the definition in 1934 and separated innovation from invention: the invention is the idea, the innovation is its commercial execution. In 1942 he named the macro consequence creative destruction, the process by which new structures incessantly destroy old ones. The unit is the economy; the criterion is that something is new to the market and changes it.[1][2]

Unit
The economy, or an industry, over long waves
Recovery means
Not applicable, destruction is the mechanism; incumbents are not meant to recover
Measured by
Patents, R&D spending, total factor productivity, entry and exit of firms

Public policy & innovation studies

Innovation as a property of a national system

The capability of a network of institutions (firms, universities, government agencies, finance, education) whose interactions initiate, import, modify, and diffuse new technologies. Freeman coined the national system of innovation in 1987 to explain Japan's performance, and Lundvall's 1992 volume made interactive learning between users and producers the core mechanism. Innovation here is not an event or a product but a systemic capacity, and the policy question is how the institutions fit together.[3][4]

Unit
A country or region's institutional network
Recovery means
Catch-up, a lagging system building absorptive and learning capacity
Measured by
Composite indices; R&D intensity; university–industry links; trade in high-technology goods

Engineering & innovation measurement

Innovation as an implemented new product or process

A new or improved product or business process that differs significantly from the unit's previous products or processes and has been made available to users or brought into use. The OECD and Eurostat's Oslo Manual fixed this as the statistical definition, and it deliberately counts things that are new only to the firm. Henderson and Clark supplied the engineering taxonomy in 1990: innovation can change a product's components, its architecture (how components link), both, or neither, and architectural change is the kind incumbents miss because their knowledge is organized around the old linkages. Both definitions treat innovation as an output that can be counted or classified.[5][6]

Unit
A product or process, within a firm
Recovery means
Not applicable, an output is or is not new
Measured by
Community Innovation Survey item counts; share of sales from new products; component–architecture classification

Strategic management

two constructs about commercialization paths: disruptive innovation displacing incumbents from below, and open innovation with ideas crossing firm boundaries.

Two constructs share the word here. Christensen's disruptive innovation is a product that underperforms on the attributes mainstream customers value, wins a low-end or new market, and improves until it displaces the incumbent, a trajectory relative to existing customers, not a degree of technical novelty. Chesbrough's open innovation is a model of the firm's boundary: ideas flow in from outside and out to external paths to market, in contrast to the closed vertically integrated laboratory. Neither is about how new the thing is; both are about who commercializes it and along what path.[7][8]

Unit
A firm's position relative to rivals and customers
Recovery means
Incumbent response, a separate unit, an acquisition, or exit from the low end
Measured by
Case histories; market-share trajectories; inbound and outbound knowledge flows

Organization theory & information systems

the adoption of an idea or behaviour, such as a system, policy, or device, new to the adopting organization.

The adoption of an idea or behaviour (a system, a policy, a program, a device) that is new to the adopting organization, whether or not it exists elsewhere. Damanpour's 1991 meta-analysis fixed this frame and asked what organizational determinants (specialization, slack, centralization) predict more adoptions. Swanson's 1994 typology of information systems innovation distinguished innovations confined to the IS function, those that change the business's administrative core, and those that change its products and services. The criterion is uptake by a firm, and invention by that firm is not required.[9][10]

Unit
An organization, counting adoptions
Recovery means
Assimilation after a stalled implementation; abandonment is a measured outcome
Measured by
Counts of innovations adopted; time to adoption; stage of assimilation

Communication & diffusion research

Innovation as whatever is perceived as new

An idea, practice, or object perceived as new by an individual or other unit of adoption. Rogers's definition, carried unchanged through five editions, makes novelty a matter of perception, so a decades-old practice is an innovation to someone hearing of it now. The research object is diffusion (the process by which the innovation is communicated through channels over time among the members of a social system) and its signature is the S-shaped adoption curve and the adopter categories from innovators to laggards. Perceived relative advantage, compatibility, complexity, trialability, and observability predict the rate.[11]

Unit
An adopter in a social system, over time
Recovery means
Not applicable, discontinuance is studied, but as an outcome, not a return
Measured by
Adoption dates; cumulative adoption curves; rated attributes of the innovation

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Nearby collisions

learning6 fields · 14 citationsjingle · one name, six constructsopportunity6 fields · 13 citationsjingle · one name, six constructsacceptance6 fields · 14 citationsjingle · one name, six constructsdiffusion of innovations1 fields · 3 citationsanchor · a standalone constructinnovativeness6 fields · 9 citationsjingle · one name, six constructs

References

  1. Schumpeter, J. A. (1934). The theory of economic development: An inquiry into profits, capital, credit, interest, and the business cycle. Harvard University Press.
  2. Schumpeter, J. A. (1942). Capitalism, socialism and democracy. Harper & Brothers.
  3. Freeman, C. (1995). The 'National System of Innovation' in historical perspective. Cambridge Journal of Economics, 19(1), 5–24. https://doi.org/10.1093/oxfordjournals.cje.a035309
  4. Lundvall, B.-Å. (Ed.). (1992). National systems of innovation: Towards a theory of innovation and interactive learning. Pinter.
  5. OECD, & Eurostat. (2018). Oslo Manual 2018: Guidelines for collecting, reporting and using data on innovation (4th ed.). OECD Publishing. https://doi.org/10.1787/9789264304604-en
  6. Henderson, R. M., & Clark, K. B. (1990). Architectural innovation: The reconfiguration of existing product technologies and the failure of established firms. Administrative Science Quarterly, 35(1), 9–30. https://doi.org/10.2307/2393549
  7. Christensen, C. M. (1997). The innovator's dilemma: When new technologies cause great firms to fail. Harvard Business School Press.
  8. Chesbrough, H. W. (2003). Open innovation: The new imperative for creating and profiting from technology. Harvard Business School Press.
  9. Damanpour, F. (1991). Organizational innovation: A meta-analysis of effects of determinants and moderators. Academy of Management Journal, 34(3), 555–590. https://doi.org/10.5465/256406
  10. Swanson, E. B. (1994). Information systems innovation among organizations. Management Science, 40(9), 1069–1092. https://doi.org/10.1287/mnsc.40.9.1069
  11. Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

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