Dictionary Definition
innovative adj
1 ahead of the times; "the advanced teaching
methods"; "had advanced views on the subject"; "a forward-looking
corporation"; "is British industry innovative enough?" [syn:
advanced, forward-looking,
modern]
2 being or producing something like nothing done
or experienced or created before; "stylistically innovative works";
"innovative members of the artistic community"; "a mind so
innovational, so original" [syn: innovational, groundbreaking]
User Contributed Dictionary
English
Pronunciation
- a UK /ˈɪn.əˌvə.tɪv/, /"In.@%v@.tIv/
Adjective
- Characterized by the creation of new ideas or things
- Forward looking; ahead of current thinking
Translations
characterized by the creation of new ideas or
things
- German: innovativ
- Japanese: (, kakushintekina)
forward looking; ahead of current thinking
- German: innovativ
- Japanese: (, kakushintekina)
- ttbc Italian: innovativo (1,2)
- ttbc Romanian: inovator
- ttbc Telugu: వినూత్నమైన (vinootnamaina)
Italian
Adjective
innovative pExtensive Definition
The term innovation may refer to both radical and
incremental changes in thinking, in things, in processes or in
services (Mckeown, 2008). Invention that
gets out in to the world is innovation. In many fields, something
new must be substantially different to be innovative, not an
insignificant change, e.g., in the arts, economics, business and government
policy. In economics the change must increase value, customer
value, or producer value. The goal of innovation is positive
change, to make someone or something better. Innovation leading to
increased productivity is the fundamental source of increasing
wealth in an economy.
Innovation is an important topic in the study of
economics, business, technology, sociology, and engineering. Colloquially,
the word "innovation" is often used as synonymous with the output
of the process. Since innovation is also considered a major driver
of the economy, the factors that lead to innovation are also
considered to be critical to policy makers.
Introduction
In the organisational context, innovation may be
linked to performance and growth through improvements in
efficiency, productivity, quality, competitive
positioning, market
share, etc. All organisations can innovate, including for
example hospitals, universities, and local governments.
While innovation typically adds value, innovation
may also have a negative or destructive effect as new developments
clear away or change old organisational forms and practices.
Organisations that do not innovate effectively may be destroyed by
those that do. Hence innovation typically involves risk. A key
challenge in innovation is maintaining a balance between process
and product innovations where process innovations tend to involve a
business
model which may develop shareholder satisfaction through
improved efficiencies while product innovations develop customer
support however at the risk of costly R&D that can
erode shareholder return
Conceptualizing innovation
Innovation has been studied in a variety of
contexts, including in relation to technology, commerce, social
systems, economic development, and policy construction. There are,
therefore, naturally a wide range of approaches to conceptualising
innovation in the scholarly literature. See, e.g., Fagerberg et al.
(2004).
Fortunately, however, a consistent theme may be
identified: innovation is typically understood as the successful
introduction of something new and useful, for example introducing
new methods, techniques, or practices or new or altered products
and services.
Distinguishing from Invention and other concepts
"An important distinction is normally made
between invention and innovation. Invention is the first occurrence
of an idea for a new product or process, while innovation is the
first attempt to carry it out into practice" (Fagerberg, 2004:
4)
It is useful, when conceptualizing innovation, to
consider whether other words suffice. Invention - the
creation of new forms, compositions of matter, or processes - is
often confused with innovation. An improvement on an existing form,
composition or processes might be an invention, an innovation, both
or neither if it is not substantial enough. It can be difficult to
differentiate change from innovation. According to business
literature, an idea, a change or an improvement is only an
innovation when it is put to use and effectively causes a social or
commercial reorganization.
Innovation occurs when someone uses an invention
or an idea to change how the world works, how people organize
themselves, or how they conduct their lives. In this view
innovation occurs whether or not the act of innovating succeeds in
generating value for its champions. Innovation is distinct from
improvement in that it permeates society and can cause
reorganization. It is distinct from problem solving and may cause
problems. Thus, in this view, innovation occurs whether it has
positive or negative results.
Innovation in organizations
A convenient definition of innovation from an
organizational perspective is given by Luecke and Katz (2003), who
wrote:
- "Innovation . . . is generally understood as the successful introduction of a new thing or method . . . Innovation is the embodiment, combination, or synthesis of knowledge in original, relevant, valued new products, processes, or services.
Innovation typically involves creativity, but is not
identical to it: innovation involves acting on the creative ideas
to make some specific and tangible difference in the domain in
which the innovation occurs. For example, Amabile et al (1996)
propose:
- ''"All innovation begins with creative ideas . . . We define innovation as the successful implementation of creative ideas within an organization. In this view, creativity by individuals and teams is a starting point for innovation; the first is necessary but not sufficient condition for the second".
For innovation to occur, something more than the
generation of a creative idea or insight is required: the insight
must be put into action to make a genuine difference, resulting for
example in new or altered business processes within the
organisation, or changes in the products and services
provided.
A further characterization of innovation is as an
organizational or management process. For example, Davila et al
(2006), write:
- "Innovation, like many business functions, is a management process that requires specific tools, rules, and discipline."
From this point of view the emphasis is moved
from the introduction of specific novel and useful ideas to the
general organizational processes and procedures for generating,
considering, and acting on such insights leading to significant
organizational improvements in terms of improved or new business
products, services, or internal processes.
Through these varieties of viewpoints, creativity
is typically seen as the basis for innovation, and innovation as
the successful implementation of creative ideas within an
organization (c.f. Amabile et al 1996 p.1155). From this point of
view, creativity may be displayed by individuals, but innovation
occurs in the organizational context only.
It should be noted, however, that the term
'innovation' is used by many authors rather interchangeably with
the term 'creativity' when discussing individual and organizational
creative activity. As Davila et al (2006) comment,
- "Often, in common parlance, the words creativity and innovation are used interchangeably. They shouldn't be, because while creativity implies coming up with ideas, it's the "bringing ideas to life" . . . that makes innovation the distinct undertaking it is."
The distinctions between creativity and
innovation discussed above are by no means fixed or universal in
the innovation literature. They are however observed by a
considerable number of scholars in innovation studies.
Economic conceptions of innovation
Joseph
Schumpeter defined economic innovation in The Theory of
Economic Development, 1934, Harvard University Press, Boston.
- The introduction of a new good — that is one with which consumers are not yet familiar — or of a new quality of a good.
- The introduction of a new method of production, which need by no means be founded upon a discovery scientifically new, and can also exist in a new way of handling a commodity commercially.
- The opening of a new market, that is a market into which the particular branch of manufacture of the country in question has not previously entered, whether or not this market has existed before.
- The conquest of a new source of supply of raw materials or half-manufactured goods, again irrespective of whether this source already exists or whether it has first to be created.
- The carrying out of the new organization of any industry, like the creation of a monopoly position (for example through trustification) or the breaking up of a monopoly position''
Schumpeter's focus on innovation is reflected in
Neo-Schumpeterian economics, developed by such scholars as Christopher
Freeman and Giovanni
Dosi .
Innovation is also studied by economists in a
variety of contexts, for example in theories of entrepreneurship or in
Paul
Romer's New Growth Theory.
Transaction cost and network theory perspectives
According to Regis Cabral (1998, 2003):
- "Innovation is a new element introduced in the network which changes, even if momentarily, the costs of transactions between at least two actors, elements or nodes, in the network."
Innovation and market outcome
Market outcome from innovation can be studied
from different lenses. The industrial organizational approach of
market characterization according to the degree of competitive
pressure and the consequent modelling of firm behaviour often using
sophisticated game theoretic tools, while permitting mathematical
modelling, has shifted the ground away from an intuitive
understanding of markets. The earlier visual framework in
economics, of market demand and supply along price and quantity
dimensions, has given way to powerful mathematical models which
though intellectually satisfying has led policy makers and managers
groping for more intuitive and less theoretical analyses to which
they can relate to at a practical level. Non quantifiable variables
find little place in these models, and when they do, mathematical
gymnastics (such as the use of different demand elasticities for
differentiated products) embrace many of these qualitative
variables, but in an intuitively unsatisfactory way.
In the management (strategy) literature on the
other hand, there is a vast array of relatively simple and
intuitive models for both managers and consultants to choose from.
Most of these models provide insights to the manager which help in
crafting a strategic plan consistent with the desired aims. Indeed
most strategy models are generally simple, wherein lie their
virtue. In the process however, these models often fail to offer
insights into situations beyond that for which they are designed,
often due to the adoption of frameworks seldom analytical, seldom
rigorous. The situational analyses of these models often tend to be
descriptive and seldom robust and rarely present behavioural
relationship between variables under study.
From an academic point of view, there is often a
divorce between industrial organisation theory and strategic
management models. While many economists view management models as
being too simplistic, strategic management consultants perceive
academic economists as being too theoretical, and the analytical
tools that they devise as too complex for managers to
understand.
Innovation literature while rich in typologies
and descriptions of innovation dynamics is mostly technology
focused. Most research on innovation has been devoted to the
process (technological) of innovation, or has otherwise taken a how
to (innovate) approach. The integrated innovation model of Soumodip
Sarkar goes some way to providing the academic, the manager and
the consultant an intuitive understanding of the innovation –
market linkages in a simple yet rigorous framework in his book ,
Innovation, Market Archetypes and Outcome- An Integrated
Framework.
The integrated model presents a new framework for
understanding firm and market dynamics, as it relates to
innovation. The model is enriched by the different strands of
literature - industrial organization, management and innovation.
The integrated approach that allows the academic, the management
consultant and the manager alike to understand where a product (or
a single product firm) is located in an integrated innovation
space, why it is so located and which then provides valuable clues
as to what to do while designing strategy. The integration of the
important determinant variables in one visual framework with a
robust and an internally consistent theoretical basis is an
important step towards devising comprehensive firm strategy. The
integrated framework provides vital clues towards framing a what to
guide for managers and consultants. Furthermore, the model permits
metrics and consequently diagnostics of both the firm and the
sector and this set of assessment tools provide a valuable guide
for devising strategy.
Sources of innovation
There are several sources of innovation. In the linear model the traditionally recognized source is manufacturer innovation. This is where an agent (person or business) innovates in order to sell the innovation. Another source of innovation, only now becoming widely recognized, is end-user innovation. This is where an agent (person or company) develops an innovation for their own (personal or in-house) use because existing products do not meet their needs. Eric von Hippel has identified end-user innovation as, by far, the most important and critical in his classic book on the subject, Sources of Innovation.Innovation by businesses is achieved in many
ways, with much attention now given to formal research
and development for "breakthrough innovations." But innovations
may be developed by less formal on-the-job modifications of
practice, through exchange and combination of professional
experience and by many other routes. The more radical and
revolutionary innovations tend to emerge from R&D, while more
incremental innovations may emerge from practice - but there are
many exceptions to each of these trends.
Regarding user
innovation, rarely user innovators may become entrepreneurs, selling
their product, or more often they may choose to trade their
innovation in exchange for other innovations. Nowadays, they may
also choose to freely reveal their innovations, using methods like
open
source. In such networks
of innovation the creativity of the users or communities of
users can further develop technologies and their use.
Whether innovation is mainly supply-pushed
(based on new technological possibilities) or demand-led
(based on social needs and market requirements) has been a hotly
debated topic. Similarly, what exactly drives innovation in
organizations and economies remains an open question.
More recent theoretical work moves beyond this
simple dualistic problem, and through empirical work shows that
innovation does not just happen within the industrial supply-side,
or as a result of the articulation of user demand, but through a
complex processes that links many different players together - not
only developers and users, but a wide variety of intermediary
organistions such as consultancies, standards bodies etc. Work on
social networks suggests that much of the most successful
innovation occures at the boundaries of organisations and
industries where the problems and needs of users, and the potential
of technologies can be linked together in a creative process that
challenges both.
Value of experimentation in innovation
When an innovative idea requires a new business
model, or radically redesigns the delivery of value to focus on the
customer, a real world experimentation approach increases the
chances of market success. New business models and customer
experiences can’t be tested through traditional market research
methods. Pilot programs for new innovations set the path in stone
too early thus increasing the costs of failure.
Stefan Thomke of Harvard Business School has
written a definitive book on the importance of experimentation.
Experimentation Matters argues that every company’s ability to
innovate depends on a series of experiments [successful or not],
that help create new products and services or improve old ones.
That period between the earliest point in the design cycle and the
final release should be filled with experimentation, failure,
analysis, and yet another round of experimentation. “Lather,
rinse, repeat,” Thomke says. Unfortunately, uncertainty often
causes the most able innovators to bypass the experimental
stage.
In his book, Thomke outlines six principles
companies can follow to unlock their innovative potential.
- Anticipate and Exploit Early Information Through ‘Front-Loaded’ Innovation Processes
- Experiment Frequently but Do Not Overload Your Organization.
- Integrate New and Traditional Technologies to Unlock Performance.
- Organize for Rapid Experimentation.
- Fail Early and Often but Avoid ‘Mistakes’.
- Manage Projects as Experiments.
Thomke further explores what would happen if the
principles outlined above were used beyond the confines of the
individual organization. For instance, in the state of Rhode
Island, innovators are collaboratively leveraging the state's
compact geography, economic and demographic diversity and
close-knit networks to quickly and cost-effectively test new
business models through a real-world experimentation lab.
Diffusion of innovations
Once innovation occurs, innovations may be spread from the innovator to other individuals and groups. This process has been studied extensively in the scholarly literature from a variety of viewpoints, most notably in Everett Rogers' classic book, The Diffusion of Innovations. However, this 'linear model' of innovation has been substantinally challenged by scholars in the last 20 years, and much research has shown that the simple invention-innovation-diffusion model does not do justice to the multilevel, non-linear processes that firms, entrepreneurs and users participate in to create successful and sustainable innovations.Rogers proposed that the life cycle of
innovations can be described using the ‘s-curve’ or diffusion
curve. The s-curve maps growth of revenue or productivity
against time. In the early stage of a particular innovation, growth
is relatively slow as the new product establishes itself. At some
point customers begin to demand and the product growth increases
more rapidly. New incremental innovations or changes to the product
allow growth to continue. Towards the end of its life cycle growth
slows and may even begin to decline. In the later stages, no amount
of new investment in that product will yield a normal rate of
return.
The s-curve is derived from half of a normal
distribution curve. There is an assumption that new products are
likely to have "product Life". i.e. a start-up phase, a rapid
increase in revenue and eventual decline. In fact the great
majority of innovations never get off the bottom of the curve, and
never produce normal returns.
Innovative companies will typically be working on
new innovations that will eventually replace older ones. Successive
s-curves will come along to replace older ones and continue to
drive growth upwards. In the figure above the first curve shows a
current technology. The second shows an emerging
technology that current yields lower growth but will eventually
overtake current technology and lead to even greater levels of
growth. The length of life will depend on many factors.
Goals of innovation
Programs of organizational innovation are
typically tightly linked to organizational goals and objectives, to
the business plan, and to market competitive positioning.
For example, one driver for innovation programs
in corporations is to achieve growth objectives. As Davila et al
(2006) note,
- "Companies cannot grow through cost reduction and reengineering alone . . . Innovation is the key element in providing aggressive top-line growth, and for increasing bottom-line results" (p.6)
In general, business organisations spend a
significant amount of their turnover on innovation i.e. making
changes to their established products, processes and services. The
amount of investment can vary from as low as a half a percent of
turnover for organisations with a low rate of change to anything
over twenty percent of turnover for organisations with a high rate
of change.
The average investment across all types of
organizations is four percent. For an organisation with a turnover
of say one billion currency units, this represents an investment of
forty million units. This budget will typically be spread across
various functions including marketing, product design, information
systems, manufacturing systems and quality assurance.
The investment may vary by industry and by market
positioning.
One survey across a large number of manufacturing
and services organisations found, ranked in decreasing order of
popularity, that systematic programs of organizational innovation
are most frequently driven by:
- Improved quality
- Creation of new markets
- Extension of the product range
- Reduced labour costs
- Improved production processes
- Reduced materials
- Reduced environmental damage
- Replacement of products/services
- Reduced energy consumption
- Conformance to regulations
These goals vary between improvements to
products, processes and services and dispel a popular myth that
innovation deals mainly with new product development. Most of the
goals could apply to any organisation be it a manufacturing
facility, marketing firm, hospital or local government.
Failure of innovation
Research findings vary, ranging from fifty to
ninety percent of innovation projects judged to have made little or
no contribution to organizational goals. One survey regarding
product innovation quotes that out of three thousand ideas for new
products, only one becomes a success in the marketplace. Failure is
an inevitable part of the innovation process, and most successful
organisations factor in an appropriate level of risk. Perhaps it is
because all organisations experience failure that many choose not
to monitor the level of failure very closely. The impact of failure
goes beyond the simple loss of investment. Failure can also lead to
loss of morale among employees, an increase in cynicism and even
higher resistance to change in the future.
Innovations that fail are often potentially
‘good’ ideas but have been rejected or ‘shelved’ due to budgetary
constraints, lack of skills or poor fit with current goals.
Failures should be identified and screened out as early in the
process as possible. Early screening avoids unsuitable ideas
devouring scarce resources that are needed to progress more
beneficial ones. Organizations can learn how to avoid failure when
it is openly discussed and debated. The lessons learned from
failure often reside longer in the organisational consciousness
than lessons learned from success. While learning is important,
high failure rates throughout the innovation process are wasteful
and a threat to the organisation's future.
The causes of failure have been widely researched
and can vary considerably. Some causes will be external to the
organisation and outside its influence of control. Others will be
internal and ultimately within the control of the organisation.
Internal causes of failure can be divided into causes associated
with the cultural infrastructure and causes associated with the
innovation process itself. Failure in the cultural infrastructure
varies between organisations but the following are common across
all organisations at some stage in their life cycle (O'Sullivan,
2002):
- Poor Leadership
- Poor Organisation
- Poor Communication
- Poor Empowerment
- Poor Knowledge Management
Common causes of failure within the innovation
process in most organisations can be distilled into five types:
- Poor goal definition
- Poor alignment of actions to goals
- Poor participation in teams
- Poor monitoring of results
- Poor communication and access to information
Effective goal definition requires that
organisations state explicitly what their goals are in terms
understandable to everyone involved in the innovation process. This
often involves stating goals in a number of ways. Effective
alignment of actions to goals should link explicit actions such as
ideas and projects to specific goals. It also implies effective
management of action portfolios. Participation in teams refers to
the behaviour of individuals in and of teams, and each individual
should have an explicitly allocated responsibility regarding their
role in goals and actions and the payment and rewards systems that
link them to goal attainment. Finally, effective monitoring of
results requires the monitoring of all goals, actions and teams
involved in the innovation process.
Innovation can fail if seen as an organisational
process whose success stems from a mechanistic approach i.e. 'pull
lever obtain result'. While 'driving' change has an emphasis on
control, enforcement and structure it is only a partial truth in
achieving innovation. Organisational gatekeepers frame the
organisational environment that "Enables" innovation; however
innovation is "Enacted" - recognised, developed, applied and
adopted - through individuals.
Individuals are the 'atom' of the organisation
close to the minutiae of daily activities. Within individuals
gritty appreciation of the small detail combines with a sense of
desired organisational objectives to deliver (and innovate for) a
product/service offer.
From this perspective innovation succeeds from
strategic structures that engage the individual to the
organisation's benefit. Innovation pivots on intrinsically
motivated individuals, within a supportive culture, informed by a
broad sense of the future.
Innovation, implies change, and can be counter to
an organisation's orthodoxy. Space for fair hearing of innovative
ideas is required to balance the potential autoimmune exclusion
that quells an infant innovative culture.
Measures of innovation
Individual and team-level assessment can be conducted by surveys and workshops. Business measures related to finances, processes, employees and customers in balanced scorecards can be viewed from the innovation perspective (e.g. new product revenue, time to market, customer and employee perception & satisfaction). Organizational capabilities can be evaluated through various evaluation frameworks e.g. efqm (European foundation for quality management) -model.The OECD Oslo Manual from 1995 suggests standard
guidelines on measuring technological product and process
innovation. Some people consider the Oslo Manual
complementary to the Frascati
Manual from 1963. The new Oslo manual from 2005 takes a wider
perspective to innovation, and includes marketing and
organizational innovation. Other ways of measuring innovation have
traditionally been expenditure, for example, investment in R&D
(Research and Development) as percentage of GNP (Gross National
Product). Whether this is a good measurement of Innovation has been
widely discussed and the Oslo Manual has incorporated some of the
critique against earlier methods of measuring. This being said, the
traditional methods of measuring still inform many policy
decisions. The EU Lisbon
Strategy has set as a goal that their average expenditure on
R&D should be 3 % of GNP.
The Oslo Manual is focused on North America,
Europe, and other rich economies. In 2001 for Latin America and the
Caribbean countries it was created the Bogota
Manual
Many scholars claim that there is a great bias
towards the "science and technology mode" (S&T-mode or
STI-mode), while the "learning by doing, using and interacting
mode" (DUI-mode) is widely ignored. For an example, that means you
can have the better high tech or software, but there are also
crucial learning tasks important for innovation. But these
measurements and research are rarely done.
Public awareness
Public awareness of innovation is an important part of the innovation process. This is further discussed in the emerging fields of innovation journalism and innovation communication.See also
- Artistic Invention
- Creative destruction
- Creative problem solving
- Theories of technology
- Diffusion (anthropology)
- Ecoinnovation
- Emerging technologies
- Hype cycle
- Individual capital
- Induced innovation
- Ingenuity
- Invention
- Innovation Economics
- List of emerging technologies
- Open Innovation
- Patent
- Public domain
- Research
- Timeline of invention
- Toolkits for User Innovation
- User innovation
- Value network
- .
- OECD The Measurement of Scientific and Technological Activities. Proposed Guidelines for Collecting and Interpreting Technological Innovation Data. Oslo Manual. 2nd edition, DSTI, OECD / European Commission Eurostat, Paris 31 Dec 1995.
- Diffusion of Innovation
- Perspectives on Technology
- The Theory of Economic Development
- Innovation and Incentives
- Stimulating creativity
References
External links
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