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The analogy with biological ecosystems One expects there to be a conceptual analogy between an innovation ecosystem and the biological ecosystems observed in nature. The biological ecosystem is a system that includes all living organisms (biotic factors) in an area as well as its physical environments (abiotic factors) functioning together as a unit. It is characterized by one or more equilibrium states, where a relatively stable set of conditions exist to maintain a population or nutrient exchange at desirable levels. The ecosystem has certain functional characteristics that specifically regulate change or maintain the stability of a desired equilibrium state. In the biological system, the equilibrium state is described by modeling the energy dynamics of the ecosystem operations? 1 In this context, the energy is simply the way the predator-prey relationship and the plants transfer energy; calories are burned consuming prey, thereby transferring the energy of the prey to the predator and as plants die and decompose, their energy is transferred to the soil where it is taken up again by other plants. Because the energy dynamics are a complex function, an ecosystem can only be considered as a whole, not piecemeal, as every part of the ecosystem has a functional effect on another. In summary, a biological ecosystem is a complex set of relationships among the living resources, habitats, and residents of an area, whose functional goal is to maintain an equilibrium sustaining state.
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What is an Innovation Ecosystem?
By Deborah J. Jackson
National Science Foundation, Arlington, VA
The analogy with biological ecosystems
One expects there to be a conceptual analogy between an innovation ecosystem and the biological
ecosystems observed in nature. The biological ecosystem is a system that includes all living organisms
(biotic factors) in an area as well as its physical environments (abiotic factors) functioning together as a
unit. It is characterized by one or more equilibrium states, where a relatively stable set of conditions
exist to maintain a population or nutrient exchange at desirable levels. The ecosystem has certain
functional characteristics that specifically regulate change or maintain the stability of a desired
equilibrium state.
In the biological system, the equilibrium state is described by modeling the energy dynamics of the
ecosystem operations?1 In this context, the energy is simply the way the predator-prey relationship and
the plants transfer energy; calories are burned consuming prey, thereby transferring the energy of the prey
to the predator and as plants die and decompose, their energy is transferred to the soil where it is taken up
again by other plants. Because the energy dynamics are a complex function, an ecosystem can only be
considered as a whole, not piecemeal, as every part of the ecosystem has a functional effect on another.
In summary, a biological ecosystem is a complex set of relationships among the living resources,
habitats, and residents of an area, whose functional goal is to maintain an equilibrium sustaining state.

1
http://www.sustainablescale.org/ConceptualFramework/UnderstandingScale/BasicConcepts/EcosystemFunctionsS
ervices.aspx
1
In contrast, an innovation ecosystem models the economic rather than the energy dynamics of the
complex relationships that are formed between actors or entities whose functional goal is to enable
technology development and innovation. In this context, the actors would include the material resources
(funds, equipment, facilities, etc.) and the human capital (students, faculty, staff, industry researchers,
industry representatives, etc.) that make up the institutional entities participating in the ecosystem (e.g. the
universities, colleges of engineering, business schools, business firms, venture capitalists (VC), industry-
university research institutes, federal or industrial supported Centers of Excellence, and state and/or local
economic development and business assistance organizations, funding agencies, policy makers, etc.). The
innovation ecosystem comprises two distinct, but largely separated economies, the research economy,
which is driven by fundamental research, and the commercial economy, which is driven by the
marketplace. By design, the two economies are weakly coupled because the resources invested in the
research economy must be derived from the commercial sector. This definition includes government
research and development (R&D) investments which are ultimately derived from tax revenues. In order
to foster the serendipitous investigations that are essential to innovative discovery, it is also important that
the incentives driving the research economy be decoupled from the financial incentives driving the
commercial economy.
Why do we care about developing the innovation ecosystem?
The two ways to increase economic output within an economy are to (i) increase the number of inputs in
the productive process, or (ii) think of new ways to get more output from the same number of inputs. The
latter is the essence of what is broadly meant by Schumpeter’s concept of innovation2, which is defined as
“the introduction of new or significantly improved products (goods or services), processes, organizational
methods, and marketing methods in internal business practices or the marketplace”. Innovation is
believed to be the fundamental source of significant wealth generation within an economy. This belief is

2Schumpetersawinnovationasthecriticaldimensionofeconomicchange.
http://en.wikipedia.org/wiki/Joseph_Schumpeter
2
foundation of the current administration’s strategy for the economic recovery3 and undergirds the
National Science Foundation’s efforts to nourish the nation’s innovation ecosystem4. In particular,
because high-tech industries offer higher growth potential, the best way to spur job creation and economic
growth is by facilitating more efficient translation of budding innovations from the research economy into
the commercial sector. Given today’s economic downturn, with its high unemployment rates and low tax
revenues, federal, state, and local government entities are now actively seeking new ways to grow their
economies by creating jobs. The higher growth rate for high-tech industries, in particular, offers a strong
incentive for government entities to actively develop and nurture innovation ecosystems that leverage
fundamental technology research within academe, and industry.
An important feature of an innovation ecosystem is that the resources available to the research economy
are coupled to the resources generated by the commercial economy, usually as some fraction of the profits
in the commercial economy. Another feature is that entities within the ecosystem are either
geographically localized or strategically linked to focus on developing a specific technology. Silicon
Valley is the best known example of a geographically localized ecosystem. Two high profile examples of
attempts to seed the development of strategically linked ecosystems are the Department of Energy’s
Innovation Ecosystem Development Initiative5 which is focused on speeding up the adoption of energy
innovations and the European Innovation Initiative’s Digital Ecosystem technologies6 that focuses on
developing business systems based on information and communications technology. These national and
international level strategic initiatives are just two examples; clearly innovation ecosystems can be
structured around almost any subject matter. On a smaller scale, the Engineering Research Centers
(ERC) program7 at the National Science Foundation systematically funds potentially transformative

3ExecutiveOfficeofthePresident(2009).AstrategyforAmericanInnovation:DrivingtowardsSustainableGrowth
andQualityJobshttp://whitehouse.gov/assets/documents/SEPT_20_InnovationWhitepaperFINAL.pdf.
4TheRoleoftheNationalScienceFoundationintheInnovationEcosystem;
http://www.nsf.gov/eng/iip/innovation.pdf
5http://www.topgovernmentgrants.com/grants_gov_display.php?program=DEFOA0000356
6http://www.digitalecosystems.org/
7http://www.ercassoc.org/
3
engineering systems and then fosters the development of innovation ecosystems centered on the
engineered system’s technologies. This program, which originated more than 25 years ago within the
NSF’s Engineering Directorate, has been very effective at initiating and maturing ecosystems that are
stable enough for the ERCs to continue operating after the initial NSF funding terminates after 10 years.
Currently, 82% of the graduated ERCs continue to embody the primary characteristics of an ERC (i.e. the
integration of research, education, and industry as an organizing principle and the maintenance of an
engineered systems focus). 8
An innovation ecosystem is said to be thriving and healthy when the resources invested in the research
economy (either through private, government, or direct business investment) are subsequently replenished
by innovation induced profit increases in the commercial economy. At that point, the two economies
(research and commercial) exist in balanced equilibrium and the innovation ecosystem is deemed to be
healthy. This is expressed by the following equation,

&∆
1
∆
&
1
& 
&
fundamental research. The result is a feedback loop, known as the virtuous cycle, which is depicted in
Figure 1.

, (1)
where   is defined as the initial profit before the investments in fundamental research are made, is
defined as profits corrected for investment, , , is defined as the
commercial economy’s research investment in the research economy, and ∆ is the innovation induced
growth in the economy. Thus a small amount of the profit, , is reinvested in order to finance
8JamesE.Williams,Jr.andCourtlandS.Lewis,PostGraduationStatusofNationalScienceFoundationEngineering
ResearchCenters:ReportofaSurveyofGraduatedERCs,PreparedfortheNationalScienceFoundationbySciTech
CommunicationsLLC,January2010.
4
Needs
Capabilities
NewProducts,
Features,orProcesses
R&DResource
Investments
Fundamental
Technology
Breakthroughs
Increased Sales
andProfits
ResearchEconomy CommercialEconomy
Figure 1. Virtuous cycle depicting how R&D resource investments are replenished through increased
profits in the commercial economy in a thriving innovation ecosystem.
When the innovation induced growth in profits exceeds the initial R&D investment, instead of being
balanced, the innovation ecosystem is said to be growing. Clearly the goal of most of today’s government
entities that fund innovation is to put their economies into a growth phase with increasing taxable
earnings:

&∆  
1
∆ . (2)
Innovation spectrum
The challenge to creating growth in an innovation ecosystem is figuring out how to turn the
breakthroughs of R&D efforts into products that lead to profits. Achieving this goal is complicated by the
fact that the two economies operate on different reward systems, thereby making it challenging to link
5
discoveries derived from fundamental research with innovative products that can translate into profits in
the market place.
Another challenge is the scarcity of implementation resources, , for technology demonstration and
development. In Figure 2, the innovation spectrum shows the distribution of resources invested in
activities aimed at discovery, technology demonstration, technology development, and
commercialization. At the far left of the spectrum (i.e. where academic research is concentrated), there is
a heavy concentration of government investment in fundamental research; while to the far right of the
spectrum (i.e. in the commercial marketplace) there is a much higher level of industry investment in direct
product development. This gap in resources for technology demonstration and development (TD&D) is
colloquially known as the Valley of Death. The actors engaged in moving innovations from discovery
through commercialization are academia, small businesses, the investor community, and commercial
industry. For these actors, it is within this valley that many potential innovations die for lack of the
resources to develop them to a stage where industry or the investor community can recognize their
commercial potential and assess the risk associated with bringing them to market.
&
One might naively assume that the most effective way of helping the ecosystem to thrive is by
substantially increasing TD&D resources available in the Valley of Death. Though this may successfully
move more innovations into the commercial sphere, it doesn’t guarantee a thriving innovation ecosystem
because the assumption fails to account for resource limitations and other uncertainties that could limit
growth and profits in the marketplace. To properly account for these uncertainties, a better understanding
of the difficult-to-model economic dynamics within the ecosystem is needed. However, when the system
is required to satisfy the constraints of the virtuous cycle, a simple resource projection of the model
reveals that the effect of increasing the TD&D investments further reduces the ecosystem’s aggregated
profits, thereby requiring a larger innovation induced profit, ∆, to complete the virtuous cycle as in
equation 3,
6
1

&∆
&

. (3)
To make things worse, 99.9% of the TD&D enterprises presented to investors fail9, which means that
the magnitude of the losses from the failed TD&D investments, , in equation 3 can be significant.
The high loss rate can be mitigated by teaming with professionals experienced in translating technologies
across the gap such as successful entrepreneurs, angel investors, or venture capitalists. But even with the
extensive resources and thorough due diligence practices of venture capitalists, only one out of every 10
of venture capitalist investments are considered to be commercial successes10. The reason that venture
capitalists cannot guarantee the success of the innovation enterprises they select is because there are many
uncontrollable factors in the marketplace that cause enterprises to fail. Common reasons11 for failure are
misjudging the marketplace, government created roadblocks in approval (FDA, FCC, FAA, etc.), no
market for the product; stronger competition than expected; technologies that do not work as expected;
bad management decisions; bad luck; the required funding outgrowing possible financial rewards;
unexpected government changes to laws or regulations, etc.
9JeffryA.Timmons,AndrewZacharakis,andStephenSpinelli,BusinessPlansthatWork,McGrawHillCompanies,
2004,p.17
10http://ezinearticles.com/?ImproveVentureCapitalReturnsWithIPPortfolioManagement&id=1420039
11http://www.questia.com/googleScholar.qst?docId=5001285456
7
Resources
LevelofDevelopme nt
Inventing Commercializing
Discovery Developmen t Commer cializati on
Academia
SmallBusiness
Investors
Industry
Tec hn o lo g y
Demonstra tion
Government Industry,Investors,
and6.3Government
Investment
NewProducts,
Features,orProcesses
R&DResource
Investments
Fundamental
Technology
Breakthroughs
IncreasedSales
andProfits
Research Economy CommercialEconomy
Figure 2. This figure links the innovation Spectrum to the two economies in the virtuous cycle; thereby
illustrating the projection, along the different development stages, of the available resources within an
ecosystem for discovery, technology development, and commercialization
Statistically, 50% of the venture capitalists investment portfolios fail outright, 30% are marginal in that
they don’t fail, but also don’t experience growth, 10% grow at a rate of about twenty percent a year, and
8
10% grow fast enough to provide returns in excess of 1000%. Venture capitalists only classify an
investment enterprise as successful if its return on investment (ROI) exceeds a factor of 10. The reason
venture capitalists require a minimum ten-fold ROI is to ensure that they can recover their investments on
the other nine investments that “fail”. Like the venture capitalists, the innovation ecosystem must
experience enough earnings growth to recover all investments in the TD&D to be considered healthy and
thriving.
The high risk to investors leads to several important conclusions about healthy conditions that define
innovation ecosystems. First, the increased productivity from successful enterprises must be profitable
enough to compensate for the monetary investment in fundamental research and for the aggregated
investment in both the successful and the failed TD&D ventures. Because there is a high probability most
enterprises launched in the ecosystem will fail, a healthy ecosystem should also be structured to handle
failures in a way that encourages terminating losing investments early in order to facilitate more efficient
utilization of ecosystem resources. Ideally, the ecosystem is structured to efficiently recover and recycle
any resources (including human capital) that are released upon the failure of individual enterprises.
Because resources within the ecosystem are limited, the dynamics of success and failure within the Valley
of Death represents an important mechanism for regulating the consumption of the ecosystem’s resources.
Nurturing the culture of the innovation ecosystem
In the context of nurturing the culture of the innovation ecosystem, successful enterprises are considered
to be those that are self-sustaining. Given that standard, the above statistics on venture capitalists success
rates suggests that at least 50% of the venture capitalist investments in a technology arena become viable
enough to contribute to the ecosystem’s culture by helping to create jobs, helping to shape the
competitive environment, and through participation in the ecosystem’s ideation and innovation dialogs.
Besides assembling the actors who will contribute to the innovation ecosystem, a healthy ecosystem also
provides a mechanism for building relationships and other intangibles between the actors and entities. It
9
is the development of these relationships that help facilitate deals when the need arises. In addition,
finding ways to quickly identify and root-out failing ventures while simultaneously accelerating the
passage of winning ventures through the Valley of Death facilitates the efficiency and sustainability of
the innovation economy.
Turning Valley of Death into a Challenge Basin
What are some of the intangible ways of enhancing the odds that emerging technology innovations will
successfully bridge the Valley of Death? There is no set recipe for developing relationships within an
ecosystem because it depends on the specifics of the technology, the cultures of the ecosystem entities,
and the personalities of the players. The best way to describe how to approach the development of these
relationships is to start by viewing the “valley” in a metaphorical sense (see Figure 3). In this context, the
intangible relationships of the innovation ecosystem comprise everything one does to the infrastructure to
effectively move the research side of the valley wall further to the right; or to move the commercial side
of the valley wall further to the left thereby improving the odds of an innovative venture successfully
spans the Valley of Death. For example, training a cadre of champions to shepherd ventures toward
commercial success represents a technology push that effectively moves the valley wall to the right.
10
Figure 3. The innovation ecosystem consists of the actors, entities, and intangibles. The intangibles are
the complex relationships that effectively move the valley walls inward and the valley floor upward in
order to replace the deep walled Valley of Death with the gentle slope of a challenge basin.
Ideally, healthy ecosystems that have made such human capital investments also find ways to keep their
champions engaged and circulating within the innovation ecosystem by providing a means of subsistence
or other incentives for them to elect to stay within the ecosystem. For example, ecosystems benefit from
the by actively engaging the marginal and moderate growth enterprises that are considered to be failures
by venture capitalist standards because they don’t produce large enough profits. In contrast, within the
innovation ecosystem, these enterprises bring value because (i) they have sustainable cash flows that
don’t impact the to they can serve as habitats for champions between enterprise ventures. It is a common
wisdom in the circles of investors that the experience of failure is just as valuable on the resumes of
champions as the experience of success. Indeed, some have argued that the experience of failure is more
valuable, because it teaches the champions when best to cut their losses. Thus even failed enterprises
bring valuable lessons and experience into the culture of the ecosystem.
An effective strategy for moving the commercial side of the valley wall further to the left would be to find
ways of lowering the perceived risk for investors. For example, ecosystems that find ways to translate
knowledge of discoveries developed in the research community into a context that is relevant to the
industry investors reduce the perceived risk for the investor so that he/she might be inclined to invest in
the technology at an earlier stage. Another approach would be for the researchers to find ways to
establish regular brainstorming dialogs with members of the investor communities about nascent
technology and it potential capabilities thereby leveraging the industry and investor community’s first-
hand knowledge of the market sectors and the unfilled needs that a nascent technology might potentially
address.
11
Beyond the intangibles, there are infrastructure investments that are designed to benefit the innovation
ecosystem as a whole which can reduce the negative impact of failures on the virtuous cycle’s feedback
loop. For example, putting in place rapid prototyping infrastructure is beneficial to the innovation
ecosystem because it (i) lowers the entry costs for start-ups to engage in innovation and (ii) it raises the
success rate by increasing the number of attempts at translating the Valley of Death. It is the type of
investment that government entities may be more willing to make because it spreads their risk among a
larger number of ventures, thereby increasing the chances that they will have invested in an enterprise
generates more revenue and creates jobs. The best examples of this are the Semiconductor Research
Corporation (SRC) for integrated electronics 12 and the ERC proof of concept testbeds. The Engineering
Research Center for Structured Organic Particulate Systems (C-SOPS), for example, recently established
a continuous tablet manufacturing prototype testbed facility13,14 for the benefit the pharmaceutical
industry. Other infrastructure investments might involve creating institutional positions and career
pathways that allow champions and other actors involved in the innovation process to reside within the
ecosystem between ventures (for example, innovation post docs, professors of practice, etc), thus creating
a ready manpower pool which is available for launching innovation enterprises.
In summary, fundamental research is a necessary ingredient for the development of transformational
innovations that have potential for delivering significant economic growth. Ecosystems that reduce their
profits in order to invest in fundamental research begin to thrive when enough innovation induced profits
are generated to replenish the initial investment. Harkening back to the biological ecosystem, a close
analogy exists between the biological “nutrient exchange” processes that regulate the biological
equilibrium and the “innovation cocktail” (i.e. fundamental knowledge, intellectual property,
implementation know-how, marketplace knowledge, creative ideas, management savvy, human

12SemiconductorResearchCorporation—http://www.src.org/
13http://showcase.ercassoc.org/accomplishments/2010/2010CSOPS1Dpharmaprocess_DLCLedit.html
14http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0951845
12
13
resources, infrastructure resources, and financial resources) that regulate the equilibrium of the
virtuous cycle.
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Traditionally, the innovation process has been of a closed nature because research or development projects are generated inside the company and brought to the market by a company. However, Chesbrough (2003) formulated the open innovation paradigm, assuming that companies can and should use external and internal ideas as well as external and internal market paths in search of new opportunities for their development. Openness to innovation requires cooperation with other market players, therefore some kind of partnership is necessary to co-create value with various stakeholders. The partners share their knowledge and experience as well as the benefits of jointly conducted innovative projects. Managing this type of partnership is now considered one of the key competences of the organization. However, the issue of managing the innovation ecosystem as the most mature form of open innovation has been relatively poorly researched. We do not know much about what organizational and legal solutions are adopted by companies in partnerships for the development of innovation, what a model of cooperation could look like or how to manage such a partnership. How far should we formalize these processes? While searching for answers to these questions, the author decided to conduct empirical research in 2019 among the consortium members of Group Azoty Puławy (nitrogen fertilizers production), based on an in-depth, partially structured interview, supported by an analysis of several selected innovation ecosystems of global chemical groups (BASF, MONSANTO, SOLVAY and YARA). Group Azoty Puławy is part of Group Azoty, the second largest producer of mineral fertilizers in Europe. In 2019, Group Azoty Puławy generated revenues of EUR 845.4 million and profit of EUR 70.7 million. The results for the first nine months of 2020 were EUR 533.7 million and EUR 37.2 million, respectively (Group Azoty Puławy interim reports 2020; 2021). The subject of the research was a consortium established in 2011 by Group Azoty Puławy in order to implement joint innovation projects. In the period between 2011 and 2016, consortium members submitted 22 initiatives, 6 of which were completed by 2016. After five years of operation, the consortium consisted of 12 members, including 5 representatives of scientific institutions, 3 producers of agricultural products and 4 organizations representing agricultural entrepreneurs. The purpose of the research was to assess the degree of openness of project participants to cooperation during the construction phase and the management phase of the consortium. The research of innovation consortium of the Group Azoty Puławy shows the following: During the construction phase, the members of the consortium were open to the accession of new partners, however selectively, i.e. according to the leader’s instructions. The selection of partners was complementary and concerned entities serving the same market segment as leaders. During the management phase of the consortium, the solution that gave the leader the greatest power had the largest number of followers. Most of the respondents were in favour of a formalized cooperation strategy, i.e. the one based on standardizing relations between partners. The respondents were open to both formal (specific, contractual) and informal (relational) mechanisms in building and managing a partnership.
... From this perspective, the concept of ecosystem was emerged and has been dealt with in wide range of studies such as science ecosystem, technology ecosystem, innovation and business ecosystem in the literature on strategy and innovation. The innovation ecosystem has been defined as the complex relationships that are formed between actors or entities whose functional goal makes technology innovation possible (Jackson, 2011). The actors contain the material resources and the human capital that make up the institutional entities participating in the ecosystem. ...
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The concept of “innovation ecosystem” involves a comprehensive and quite complex understanding of science and technology (S&T), and its consequent impact to the society. Defined as the “economic dynamics of the complex relationships between actors and entities whose functional goal is to enable technology development and innovation,” innovation ecosystem primarily focuses on the interplay between two interdependent systems – the (1) “knowledge economy,” driven by fundamental research, and (2) “commercial economy,” driven by the marketplace. In this regard, the so-called “Endogenous Growth Theory” serves to further emphasize the importance of interaction and mutual reinforcement between technological innovation and economic growth. Research suggest that on one hand, technological innovation will result in new products, processes and markets; and, on the other, economic growth will facilitate research and development (R&D) that will, in turn bring about innovation. Many modern-day societies aim at building a healthy innovation ecosystem, in order to achieve and attain sustainable growth of their national economy. Despite this seemingly manifest global trend, however, some countries are still left behind because they tend to neglect S&T and R&D in the equation – one of which is the Philippines. Therefore, it is not a surprise that the Philippine economy remains at a low-level equilibrium, brought about by this “vicious circle of scant technological innovation, eroding competitiveness, weak economic growth, middling investment in S&T/R&D, and so on.”
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