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Chapter 3
TYPES AND PATTERNS
OF INNOVATION
By : Finia Rahma
Types and Patterns
of Innovation
Product Innovation versus Process Innovation Product innovations are embodied in
the outputs of an organization-ts goods or services. For example, Honda’s development
of a new hybrid electric vehicle is a product innovation. Process innovations are
innovations in the way an organization conducts its business, such as in the techniques of
producing or marketing goods or services. Process innovations are often oriented toward
improving the effectiveness or efficiency of production by, for example, reducing defect
rates or increasing the quantity that may be produced in a given time. For example, a
process innovation at a biotechnology firm might entail developing a genetic algorithm
that can quickly search a set of disease-related genes to identify a target for therapeutic
intervention. In this instance, the process innovation (the genetic algorithm) can speed up
the firm’s ability to develop a product innovation (a new therapeutic drug).
Radical Innovation versus Incremental Innovation One of the primary dimensions
used to distinguish types of innovation is the continuum between radical versus
incremental innovation. A number of definitions have been posed for radical innovation
and incremental innovation, but most hinge on the degree to which an innovation
represents a departure from existing practices.1 Thus radicalness might be conceived as
the combination of newness and the degree of differentness. A technology could be new
to the world, new to an industry, new to a firm, or new merely to an adopting business
unit. A technology could be significantly different from existing products and processes or
only marginally different. The most radical innovations would be new to the world and
exceptionally different from existing products and processes.
Types and Patterns
of Innovation
Competence-Enhancing Innovation versus Competence-Destroying
Innovation Innovations can also be classified as competence enhancing versus
competence destroying. An innovation is considered to be competence
enhancing from the perspective of a particular firm if it builds on the firm’s existing
knowledge base. For example, each generation of Intel’s microprocessors (e.g., 286,
386, 486, Pentium, Pentium II, Pentium III, Pentium 4) builds on the technology
underlying the previous generation. Thus, while each generation embodies
innovation, these innovations leverage Intel’s existing competencies, making them
more valuable.
An innovation is considered to be competence destroying from the
perspective of a particular firm if the technology does not build on the firm’s
existing competencies or renders them obsolete. For example, from the 1600s to
the early 1970s, no self-respecting mathematician or engineer would have been
caught without a slide rule. Slide rules are lightweight devices, often constructed of
wood, that use logarithm scales to solve complex mathematical functions. They
were used to calculate everything from the structural properties of a bridge to the
range and fuel use of an aircraft. Specially designed slide rules for businesses had,
for example, scales for doing loan calculations or determining optimal purchase
quantities.
Types and Patterns
of Innovation
Architectural Innovation versus Component Innovation
An innovation is considered a component innovation (or modular
innovation) if it entails changes to one or more components, but does
not significantly affect the overall configuration of the system.In the
example above, an innovation in bicycle seat technology (such as the
incorporation of gel-filled material for additional cushioning) does not
require any changes in the rest of the bicycle architecture.
In contrast, an architectural innovation entails changing the
overall design of the system or the way that components interact with
each other. An innovation that is strictly architectural may reconfigure
the way that components link together in the system, without changing
the components themselves.6 Most architectural innovations, however,
create changes in the system that reverberate throughout its design,
requiring changes in the underlying components in addition to changes
in the ways those components interact. Architectural innovations often
have far-reaching and complex influences on industry competitors and
technology users.
Types and Patterns
of Innovation
Using the Dimensions
Though the dimensions described above are useful for exploring key ways
that one innovation may differ from another, these dimensions are not
independent, nor do they offer a straightforward system for categorizing
innovations in a precise and consistent manner. Each of the above dimensions
shares relationships with others—for example, architectural innovations are often
considered more radical and more competence destroying than component
innovations. Furthermore, how an innovation is described on a dimension often
depends on who is doing the describing and with what it is being compared.
Both the rate of a technology’s performance improvement and the rate at
which the technology is adopted in the marketplace repeatedly have been shown
to conform to an s-shape curve. Though s-curves in technology performance and
s-curves in technology diffusion are related (improvements in performance may
foster faster adoption, and greater adoption may motivate further investment in
improving performance), they are fundamentally different processes. S-curves in
technology improvement are described first, followed by s-curves in technology
diffusion. This section also explains that despite the allure of using s-curves to
predict when new phases of a technology’s life cycle will begin, doing so can be
misleading.
Types and Patterns
of Innovation
S-Curves in Technological Improvement
Often a technology’s s-curve is plotted with performance (e.g., speed, capacity, or
power) against time, but this must be approached with care. If the effort invested is not
constant over time, the resulting s-curve can obscure the true relationship. If effort is
relatively constant over time, plotting performance against time will result in the same
characteristic curve as plotting performance against effort. S-Curves in Technology
Diffusion
S-curves are also often used to describe the diffusion of a technology. Unlike s-
curves in technology performance, s-curves in technology diffusion are obtained by
plotting the cumulative number of adopters of the technology against time. This yields
an s-shape curve because adoption is initially slow when an unfamiliar technology is
introduced to the market; it accelerates as the technology becomes better understood
and utilized by the mass market, and eventually the market is saturated so the rate of
new adoptions declines.
S-Curves as a Prescriptive Tool
Several authors have argued that managers can use the s-curve model as a tool for
predicting when a technology will reach its limits and as a prescriptive guide for
whether and when the firm should move to a new, more radical technology.14 Firms
can use data on the investment and performance of their own technologies, or data on
the overall industry investment in a technology and the average performance achieved
by multiple producers.

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Types and Patterns of Innovation Explained

  • 1. Chapter 3 TYPES AND PATTERNS OF INNOVATION By : Finia Rahma
  • 2. Types and Patterns of Innovation Product Innovation versus Process Innovation Product innovations are embodied in the outputs of an organization-ts goods or services. For example, Honda’s development of a new hybrid electric vehicle is a product innovation. Process innovations are innovations in the way an organization conducts its business, such as in the techniques of producing or marketing goods or services. Process innovations are often oriented toward improving the effectiveness or efficiency of production by, for example, reducing defect rates or increasing the quantity that may be produced in a given time. For example, a process innovation at a biotechnology firm might entail developing a genetic algorithm that can quickly search a set of disease-related genes to identify a target for therapeutic intervention. In this instance, the process innovation (the genetic algorithm) can speed up the firm’s ability to develop a product innovation (a new therapeutic drug). Radical Innovation versus Incremental Innovation One of the primary dimensions used to distinguish types of innovation is the continuum between radical versus incremental innovation. A number of definitions have been posed for radical innovation and incremental innovation, but most hinge on the degree to which an innovation represents a departure from existing practices.1 Thus radicalness might be conceived as the combination of newness and the degree of differentness. A technology could be new to the world, new to an industry, new to a firm, or new merely to an adopting business unit. A technology could be significantly different from existing products and processes or only marginally different. The most radical innovations would be new to the world and exceptionally different from existing products and processes.
  • 3. Types and Patterns of Innovation Competence-Enhancing Innovation versus Competence-Destroying Innovation Innovations can also be classified as competence enhancing versus competence destroying. An innovation is considered to be competence enhancing from the perspective of a particular firm if it builds on the firm’s existing knowledge base. For example, each generation of Intel’s microprocessors (e.g., 286, 386, 486, Pentium, Pentium II, Pentium III, Pentium 4) builds on the technology underlying the previous generation. Thus, while each generation embodies innovation, these innovations leverage Intel’s existing competencies, making them more valuable. An innovation is considered to be competence destroying from the perspective of a particular firm if the technology does not build on the firm’s existing competencies or renders them obsolete. For example, from the 1600s to the early 1970s, no self-respecting mathematician or engineer would have been caught without a slide rule. Slide rules are lightweight devices, often constructed of wood, that use logarithm scales to solve complex mathematical functions. They were used to calculate everything from the structural properties of a bridge to the range and fuel use of an aircraft. Specially designed slide rules for businesses had, for example, scales for doing loan calculations or determining optimal purchase quantities.
  • 4. Types and Patterns of Innovation Architectural Innovation versus Component Innovation An innovation is considered a component innovation (or modular innovation) if it entails changes to one or more components, but does not significantly affect the overall configuration of the system.In the example above, an innovation in bicycle seat technology (such as the incorporation of gel-filled material for additional cushioning) does not require any changes in the rest of the bicycle architecture. In contrast, an architectural innovation entails changing the overall design of the system or the way that components interact with each other. An innovation that is strictly architectural may reconfigure the way that components link together in the system, without changing the components themselves.6 Most architectural innovations, however, create changes in the system that reverberate throughout its design, requiring changes in the underlying components in addition to changes in the ways those components interact. Architectural innovations often have far-reaching and complex influences on industry competitors and technology users.
  • 5. Types and Patterns of Innovation Using the Dimensions Though the dimensions described above are useful for exploring key ways that one innovation may differ from another, these dimensions are not independent, nor do they offer a straightforward system for categorizing innovations in a precise and consistent manner. Each of the above dimensions shares relationships with others—for example, architectural innovations are often considered more radical and more competence destroying than component innovations. Furthermore, how an innovation is described on a dimension often depends on who is doing the describing and with what it is being compared. Both the rate of a technology’s performance improvement and the rate at which the technology is adopted in the marketplace repeatedly have been shown to conform to an s-shape curve. Though s-curves in technology performance and s-curves in technology diffusion are related (improvements in performance may foster faster adoption, and greater adoption may motivate further investment in improving performance), they are fundamentally different processes. S-curves in technology improvement are described first, followed by s-curves in technology diffusion. This section also explains that despite the allure of using s-curves to predict when new phases of a technology’s life cycle will begin, doing so can be misleading.
  • 6. Types and Patterns of Innovation S-Curves in Technological Improvement Often a technology’s s-curve is plotted with performance (e.g., speed, capacity, or power) against time, but this must be approached with care. If the effort invested is not constant over time, the resulting s-curve can obscure the true relationship. If effort is relatively constant over time, plotting performance against time will result in the same characteristic curve as plotting performance against effort. S-Curves in Technology Diffusion S-curves are also often used to describe the diffusion of a technology. Unlike s- curves in technology performance, s-curves in technology diffusion are obtained by plotting the cumulative number of adopters of the technology against time. This yields an s-shape curve because adoption is initially slow when an unfamiliar technology is introduced to the market; it accelerates as the technology becomes better understood and utilized by the mass market, and eventually the market is saturated so the rate of new adoptions declines. S-Curves as a Prescriptive Tool Several authors have argued that managers can use the s-curve model as a tool for predicting when a technology will reach its limits and as a prescriptive guide for whether and when the firm should move to a new, more radical technology.14 Firms can use data on the investment and performance of their own technologies, or data on the overall industry investment in a technology and the average performance achieved by multiple producers.