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New Business Ecosystems and Innovation Strategic Choices in SMEs

Soufiane Mezzourh, Walid Nakara

To cite this version:

Soufiane Mezzourh, Walid Nakara. New Business Ecosystems and Innovation Strategic Choices in

SMEs. The Business Review, Cambridge, 2012. �hal-02525683�

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New Business Ecosystems and Innovation Strategic Choices in SMEs

Soufiane Mezzourh and Walid A. Nakara1

Abstract

The current paper seeks to develop existing theories around innovation ecosystems, where a major focus has been the relationships between and within firms in established ecosystems.

The paper extends current research to consider the manner in which new business ecosystems develop to support innovation and strategic choice. Using case study methodology to explore keystone innovations within a French SME, the concept of « keystone innovations » is introduced and a Cytoscape model of the e-book business in France developed. Results indicate direct implications for both innovation theory and management which are explored here as the basis for future research. The originality of this work lies partly in its acceptance that new business ecosystems develop to support innovation and in the exploration of their development reported.

Key-words: Business ecosystem; Innovation; Keystone species; Creative destruction; e-book

1 Correspondent author. Dr. Walid A. Nakara, Groupe Sup de Co Montpellier Business School, 2300, Avenue

des Moulins 34185 Montpellier Cedex 4 France. E-mail: w.nakara@montpellier-bs.com

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INTRODUCTION

The examination of innovation in nature (biomimicry) as a template for artificial innovation is relatively well established. In ‘Biomimicry’, Janine Benyus gives new impetus to the bionics program initiated half a century ago (Benyus, 2002), which argues that man should replicate the genius of nature in his work. This consideration of nature in the search for developments in organizational theory can be applied to business ecosystems and – indeed – research has been developed here with considerable success. Where ecosystems are developing, clear parallels have been developed between the manner in which developments occur in nature and organizations. In nature, ecosystems are born from the co-evolution of species. In business, ecosystems arise from the co-innovation of organizations. To use the term of economist Joseph Schumpeter, innovation serves a dual function: creating and destroying ecosystems without ever reaching equilibrium – the climax, as it would be termed by ecologists.

The current paper draws heavily upon established research in the field of business innovation

ecosystems (Adner, 2006; Adner & Kapoor, 2009), which has primarily focused upon

relationships between and within firms in established innovation ecosystems, but extends this

thinking to argue that it is innovation itself that creates ecosystems and causes their extinction

and to consider evidence of the dynamic nature of the process of creative destruction. Further,

the paper introduces the concept of « keystone innovations » to examine the evidence through

the use of Cytoscape modeling techniques applied here to a case study of the e-book business

in France. Lessons beneficial to both innovation theory and practice are suggested, alongside

areas where future research could be developed.

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FROM SYSTEMS TO ECOSYSTEMS OF INNOVATION

Innovation is clearly the result of complex interactions between multiple actors, such as universities, researchers and business as well as the economic and institutional environment.

In this systemic view of innovation, economics, sociology and more recently ecology, bring, each in its way, interesting answers.

Networks

From a biological vantage point, innovation is literally a network: “a good idea is a network", says Steve Johnson; “A specific constellation of neurons – thousands of them – fire in sync with each other for the first time in your brain, and an idea pops into your conscience. A new idea is a network of cells exploring the adjacent possible of connections that they can make in your mind”. Therefore, to better understand the nature of innovation, we’ll have to start by shaking ourselves free of this misconception: “An idea is not a single thing. It is more like a swarm” (Johnson, 2010).

The systemic nature of innovation is also visible at the “macro” level, i.e. in the society as a whole. In his famous book The Network Society, the Spanish sociologist Manuel Castells says: from the Industrial Revolution “the great lesson to be learned is that innovation is never isolated. It expresses both a state of knowledge, a specific institutional and industrial

environment, the skills and the capabilities required to define and solve a technical problem,

the economic mentality needed to make these applications viable, and a network of producers

and users likely to connect their experience in a cumulative fashion”.

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This is also the program carried by the French School of Sociology of Innovation since the early 1980s. Innovation is always in search of allies. It finds itself in a network of players who take it, support it, move it. “Innovation is the art of interesting an increasing number of allies who will make you stronger and stronger” (Akrich et al., 1988). This view of innovation has helped to handle the duality of innovations incorporating both technological and social dimensions and made it possible to reveal how complex and uncertain an innovation process often is (Phol et al., 2009).

Today, to say that innovation involves networks of diverse actors is a commonplace, as the vision of the solitary innovator or that of the heroic entrepreneur is out of modern taste.

Innovation is no longer “innovation-of" nor “innovation-by”, it is certainly “innovation-with”!

Now, it is measured less by the products or services it creates than by the length and the richness of the business networks that it can weave (Chesbrough, 2003). In fact, “very few firms can successfully ‘got it alone’, says D. Teece. “To be successful, firms must form linkages, upstream and downstream, lateral and horizontal” (Teece, 1992).

Innovation Systems

The concept of ‘Innovation System’ (IS) is the culmination of several projects that have

wished to integrate the institutional dimension in the economic analysis of technical change

and its effects on economic performance in the long term (Amable, 2002). Innovation is

regarded as a process of producing new knowledge and skills that enhance organizational

learning. Two main components are generally attributed to the SI: (1) organizations, such as

businesses, universities and public or private research centers; and (2) institutions or any

common habits, standards, routines, established practices, rules and laws that are intended to

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direct and/or regulate the relationships and interactions among individuals, groups and organizations (Lorenzi & Villemeur, 2009).

This distinction is at the junction of institutional and evolutionary economics. The first one, in the tradition of North (1990), emphasizes the distinction between organizations (the players of the game) on one hand, and institutions (the rules of the game) on the other. Evolutionary economics, in the tradition of Nelson (Nelson, 1993), argues the hypothesis that organizations and institutions are “knowledge processors” in interaction with each other. Innovation depends on knowledge generated from both sides, but the process of creating novelty influences this knowledge in return, hence the evolutionary nature of the innovation process.

The SI concept, like any new theoretical construct, has not escaped criticism. Some authors have denounced in particular its technological determinism that obscures the effect of other economic and social variables on innovation (Lundvall, 1992). Indeed, it is quite obvious that factors such as price, motivation, competition plays a significant role in the production of new products and services.

It is with the aim of overcoming these shortcomings that the broader conception of ‘Social System of Innovation and Production (SSIP) was introduced (Amable, 2002). This new version of innovation system encompasses both science, technology, industry, education, relationships at work and the financial system. Innovation is therefore part of a multidisciplinary system, both human and socio-technical (Callon, 1985).

Innovation ecosystems

The concept of innovation ecosystem (IE) does not contrast with the concept of SI nor with its

SSIP extension. However, it differs from both by an extra dimension: and ecological one. The

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ecological metaphor is probably the one that portrays innovation the most given the high degree of uncertainty, complexity and fragility that implies.

According to the Millennium Ecosystem Assessment: “an ecosystem is a dynamic complex of plant, animal, and microorganism communities and their non-living environment interacting as a functional unit. Human beings are an integral part of ecosystems. Ecosystems vary enormously in size. A temporary pond in a tree hollow and an ocean basin can both be ecosystems”.

We owe to the American economist Michael Rothschild one of the first transpositions of the concept of ecosystem in the business world. In his reference book Bionomics, the author argues that “a capitalist economy is better viewed as a living ecosystem” (Rothschild, 1990).

We find the same phenomena and mechanisms operating in one or the other (ecology and economy) such as competition, specialization, evolution, etc., says the author. However, although they share the same architecture, the ecological and economic systems have two inverted channels: the food chain is a network limited by resources (“resource-limited”), whereas the value chain network is limited by demand (“consumer-limited”). Consequently, the behavior of economic agents in one will be the inverted image of the behavior of ecological species in the other.

The second major contribution is Professor James Moore’s of the Harvard Business School (Moore, 1996). He is convinced that the use of ecological metaphor would be beneficial both to theory and practice of corporate strategy. By seeing borders everywhere (segments, niches, markets, industries, etc.), Moore argues, businessmen and managers embrace a rather weak and far too simplistic vision of the reality. This vision must be abandoned in favor of an

“ecosystem approach” precisely closer to reality, where the players are diverse and actually

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maintain complex relationships, sometimes rival, sometimes cooperative; sometimes direct, sometimes indirect.

Regarding the concept of business ecosystem, some have been interested more on ecosystems with high technological content and where the actors are particularly engaged in R&D and innovation. According to Adner, ecosystems of innovation can be defined as “collaborative arrangements through which firms combine their individual offerings into a coherent, customer-facing solution” (Adner, 2006). It is the process by which organizations come together to co-design, co-produce and co-service the needs of customers” (Dooley and O’Sulliven, 2007).

Finally, companies adapt not only to established business ecosystems. When they have the necessary resources and capabilities for innovation, firms can also build new ecosystems (Teece, 2007). And to do so, it is essential to build solid and sustaining partnerships and collaborations with other companies, entities, institutions, etc. More importantly, they should be continuously on the look-out for changes that occur in both products and technology, but also in consumer habits.

KEYSTONE INNOVATIONS : EVIDENCE FROM THE E-BOOK BUSINESS IN FRANCE

The case of Cytale, as we shall see, tells the inspiring story of a young French start-up who

tried to build an ecosystem of the e-book (tablet) in France in the late 1990s. Although,

despite a dynamic entrepreneurship and an outstanding technology, the Cybook, which was

regarded back then as the most successful e-book of his generation, turned out to be a

commercial failure. The failure of Cytale in building a new ecosystem confirms to us, as we

shall see, the systemic and complex nature of innovation. It also sheds light on the importance

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for an innovative company to adopt the right “lens” in order to better identify, better yet mastering the so called keystone innovations in a given business ecosystem.

A start-up called Cytale

The creation of a start-up aimed at revolutionizing how people read means for authors, editors and readers significant changes in the habits and practices for some, in standards and technologies for others. Such transformation might not be necessarily a source of satisfaction or benefit for all stakeholders, innovation then becomes a threat to the established ecosystem.

The natural reaction of species that feel threatened is to reject any intrusion. It is called the instinct of self-preservation. How the innovator is going to introduce innovation within an ecosystem is therefore just as important as how he intends to interest the users and customers.

The e-book was presented for the first time at the Salon du Livre 2000. In particular, one could discover the Cybook, a tablet designed and produced by the French start-up Cytale. It was the only e-book in the French market and was regarded by the press as the most accomplished of its generation. Cytale was founded by three renowned business angels: Marc Vasseur, General Manager of one of the world's leading genomics companies; Lewiner Jacques, director of the ESPCI, a fertile inventor and incubator of many start-ups; last but not least, Jacques Attali, economist and writer, special adviser to Francois Mitterrand and founder of projects that leverage new technologies in the fields of culture and microfinance (Nauroy, 2006).

The company was able to gather around the biggest names of the French edition industry.

Besides, they had outstanding profiles, some of them were art lovers, others literature

enthusiasts. Finally, Cytale was an amazing crossroads of trades. The company managed to

integrate virtually the entire value chain. Yet this did not prevent our French start-up to enter

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bankruptcy as early as February 2002, that is to say barely two years after the event of the Cybook at the Salon du Livre.

The long zoom approach

Innovation is not a Goldberg machine. Its ins can be as unpredictable as its outs. In fact, it is by a circuitous route, sometimes well hidden, through multiple connections and by trial and error that innovation shapes up (The Loarne and Blanco, 2009). The uncertainty and complexity inherent to the phenomenon of innovation indeed requires a regular rethinking of the ecosystem beyond its borders. The more complex innovation the more difficult the building of an ecosystem and the more a wide prism will be needed.

This is the reason why we decided to take a “long zoom” approach (Johnson, 2010). The author calls, roughly, that we observe the phenomena of innovation “from a distance” because it is often difficult to say with certainty what gave birth to this particular innovation and which caused that particular change. Thomas Kuhn’s thesis on scientific revolutions demonstrated eloquently this reality (Kuhn, 1962).

global evolution Ecosystems

Species Brains

Cells

nature Culture Ideas

Workplaces Organizations

Settlements information networks

Figure 1. The long zoom approach

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The e-book, like any major technological breakthrough, is the synthesis of different fields of knowledge: the binary encoding described by Claude Shannon in the late 1930s, wave optics and the invention of the first liquid crystal display by Gene Dolgoff in 1968; markup language through the invention of GML by Charles Goldfarb, Edward Mosher and Raymond Lorie of IBM in 1969; digital electronics and the invention of the microprocessor by two Intel engineers Marcian Hoff and Federico Faggin at the end of the 1960s ; electrochemistry and the proposal of the first model of lithium-ion battery by American Stanley Whittingham in 1970; power electronics and the invention of the Flash Memory by Dr. Fujio Masuoka of Toshiba in 1980; electromagnetism and the development of the first electronic paper from the 1970s by Nick Sheridon at Xerox PARC, and more recently electrophoresis and the invention of Electronic Ink by Joseph Jacobson of MIT in the early 1990s. Although all the knowledge needed was available in the late 1950s, the first eBook did not come to life till 1996.

The idea of an electronic book per se appears for the first time in 1972 in the mind of Alan Kay, the Dynabook, designed in the Xerox research center. But it took more than two decades before the pieces fell into place – the launching of Project Gutenberg; the Internet, online publishing, etc. In 1996, prototypes and marketing efforts multiply without success: The Everybook's Dedicated, Librius.com’s Millennium eBook, Hiebook and Echyon (two South Korean tablets), Tetrawave’s Alphabook, the tbook in Great Britain and the reader MyFriend in Italy. Some of what we might today call the first generation of e-books had a dual screen (i.e. Everybook), others announced the later Pocket PCs, PDAs and Tablet PCs of which the demand was growing rapidly (Lorenzo, 2008).

A long zoom view of the e-book, as we have described before, would probably have helped

Cytale to anticipate some of its choices, in particular technology and policy decisions, which

turned out to be particularly disadvantageous. For example, a first long zoom shot would have

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been decisive in the selection of the eBook itself as it was anything but an innovation in the late 1990s! (As have been admitted by CEOs later). Another long zoom would have been decisive also in following what other innovative companies were doing elsewhere, in terms of battery and (electronic) ink, which Cytale got it wrong more than once. Finally, and this may be the most important point, the long zoom approach would have allowed Cytale to better identify and seize innovations that were holding up the ecosystem of the eBook back then. It is precisely this species of innovation, as we shall see, that we must “trace” very closely.

Keystone innovations

A keystone species” is a species that has a disproportionate effect on its environment relative to its biomass. Such species play a critical role in maintaining the structure of an ecological community, affecting many other organisms in an ecosystem and helping to determine the types and numbers of various other species in the community. The role that a keystone species plays in its ecosystem is analogous to the role of a keystone in an arch. While the keystone is under the least pressure of any of the stones in an arch, the arch still collapses without it.

Similarly, an ecosystem may experience a dramatic shift if a keystone species is removed, even though that species was a small part of the ecosystem by measures of biomass or productivity. It has become a very popular concept in conservation biology.

Table 1. Technological innovations in the e-book ecosystem

1 Processor 11 Modem (RTC)

2 PCM (Pulse Code Modulation) 12 CytalePage

3 Chipset 13 Lithium Battery (Polymer/Ion)

4 USB Standard 14 XML (language extensible de balisage)

5 Memory 15 Intel NVRAM (Non Volatile RAM)

6 IRDA Standard 16 DRM (Digital Rights Management) 7 OEB (Open E-Book) 17 NFI (Near Field Imaging)

8 Operating System 18 SSL (Secure Sockets Layer)

9 PCMCIA Format 19 Electronic ink

10 @folio 20 Screen (LCD)

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Regarding the e-book, it is possible to list no fewer than twenty innovations (mainly technological, but not only, see table 1) that underlie, or allow the ecosystem to function.

However, the importance of these technologies varies according to their impact on the ecosystem structure. Keystone innovations of the e-book (first generation) are: the processor, the memory, the screen, the battery and the operating system.

Figure 2. Keystone innovations in the e-book ecosystem

To better visualize interaction networks between and within ecosystems, a Cytoscape modeling may be judicious. Cytoscape is a bioinformatics software platform developed by the prestigious Institute of Systems Biology. It was originally designed for research in biology to visualize molecular interaction networks and metabolic pathways, with their notes, profiles and other associated attributes. Today, Cytoscape is a genetic open source platform that allows visual display and analysis of complex networks.

The e-book ecosystem consists of a collection of innovations that differ in nature and degree,

innovations that can be shared with other ecosystems (“embedded circles” in figure 2). The

innovations we have coined “keystone” (1, 5, 8, 13, 20, see Table 1) are those that maintain

the balance of the ecosystem at a given time. In other words, the ecosystem evolves along

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with the links and nodes woven by novelty. A strong link between two innovations (bold lines, figure 2) means that they are closely tied, for example in terms of resources complementarity (as we shall see).

The failure of Cytale in building a new ecosystem can be explained precisely by a series of unfortunate (miscalculated) choices in the acquisition and the development of key technologies necessary to design the Cybook.

- For its e-book, Cytale chose a Motorola processor that proved to be both “undersized”

and very close to obsolescence. Following the split between Motorola and Microsoft in the second half of the year 1999, the latter “will develop later the future versions of Windows CE without ensuring full compatibility of its system with this group of processors. On the other hand, Motorola stopped developing its MPC processors when Cytale was expecting the next generation to market its product” (Nauroy 2007). The company will be forced later to change the motherboard, an operation which will prevent a commercial release in December 2000.

- If this was indeed a dying generation of microprocessors that Cytale has chosen, it was an uncertain generation of lithium battery (polymer) that the company has selected first, before going back on the Lithium Ion, much effective but heavier and certainly bulkier.

- The company chooses to use a Windows CE operating system instead of Linux, yet more reliable. But Cytale had to adopt a “corporate model” to meet the demand of the publishers.

Most of these choices have proved to be irreversible, as it is often the case of innovation

projects. Cytale had to build an ecosystem around robust and reliable keystone species while

considering the nature and importance of the links between the “nodes” (depending on their

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strength and weakness). Apart from the screen display which was quite satisfactory, the other technologies were either suboptimal or that are been superseded.

D. Teece showed in a pioneering article that a company which is about to develop an innovation that requires a specific input may find itself in need of a partner (Teece, 1986).

The concept of “co-specialization” illustrates this reality: when two actors work closely together and that everyone has mastered a technology or a capability, the value-added, both to the innovator and the partner, is greater than the sum of the value-added of each actor separately (synergy). The author uses the term “complementarity” to designate this ability to achieve higher profits in pairs.

For Cytale, this kind of benefit was difficult to achieve. Most of the technologies needed to design the Cybook have been internalized, to the point of developing a proper system of formatting and editing. For some components, the top management has recognized (a posteriori) that the company could probably have benefited from the support of a partner or

two (including innovations keystones).

LESSONS LEARNED AND FURTHER RESEARCH

Innovation remains one of the most potent ways to add value, providing organizations with

the ability to adapt to change and stimulate new growth. But this ability seems to be more and

more arduous to develop, let alone to sustain, as the uncertainty and the complexity of almost

everything are growing exponentially. As a result, very few firms can successfully got it

alone. They must form linkages, upstream and downstream, lateral and horizontal, co-design,

co-produce and co-service the needs of customers. The ecological metaphor of “the

ecosystem” illustrates superbly this kind of networks as turbulent and fragile.

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This paper contributes to previous research by introducing the concept of “keystone innovations” and how they affect business ecosystems. Our analysis shows that a sufficiently distant and distanced (in time and space) is needed to capture the ins and outs of innovation. It allows managers and entrepreneurs to see a bigger picture and to avoid bad strategic choices as showed in the Cytale case. The one we used here (the long zoom view) is but one angle among others. We then presented the concept of keystone innovations as the essential building block for managing innovation within ecosystems. It views innovation as occurring across a network of strategic nodes that holds up the entire ecosystem. The management of keystone innovations is a necessity to be in the game of creative destruction. This provides interesting input for further research both conceptually and methodologically:

- Promoting and favoring an “ecosystemic” representation of innovation (Cytoscape- like) instead of conventional and rather static matrix or curve-like diagrams. This provides a more accurate image of the reality of innovation phenomena ;

- The concept of “keystone innovations” is a powerful ecological metaphor and a useful tool to better spot and assess the kind of innovations that matter the most within (or across) the ecosystem(s). Given the complexity of such an ecological notion, it certainly merits further and deeper conceptualization ;

- In such a context (an “ecosystemic” one), the Actor-Network Theory (Latour, 2007, Law and Lassard, 1999) is a pertinent avenue worth exploring.

With these challenges in mind, we believe managers and entrepreneurs should take the

ecosystemic metaphor more seriously in their day to day practice of management instead of

clinging to an out of date (even dangerous) traditional economic view where firms seem to be

floating islands in a vast and calm blue ocean of markets.

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REFERENCES

Adner R., (2006), « Match Your Innovation Strategy to Your Innovation Ecosystem », Harvard Business Review, No. 84 (April), pp. 98-107.

Akrich M., Callon M., Latour B., (1988), « A quoi tient le succès des innovations », Gérer et Comprendre, Juin 1988.

Amable B. Petit P., (2002), « La diversité des systèmes sociaux d'innovation et de production dans les années 90 », dans J.P. Touffut (ed.) Institutions et innovation, De la recherche aux systèmes sociaux d'innovation, Éditions Albin Michel, Paris.

Benyus J., (2002), Biomimetics: Innovation Inspired by Nature, Harper Perennial, New York.

Callon M., (1985), « Les aspects économiques et sociologiques dans les actions de recherche du programme de maîtrise de l’énergie », La Documentation française.

Castells M., (1998), La Société en réseaux, Fayard, Paris.

Chesbrough H.W., (2003), « The Era of Open Innovation », MIT Sloan Management Review, No. 44 (April), pp. 34-41.

Dooley L. and O’Sullivan D., (2007), « Managing within distributed innovation », International Journal of Innovation Management, Vol. 11, No. 3 (Sept), pp. 397-416.

Johnson S., (2010), Where good ideas come from: The Natural History of Innovation, Riverhead, New York.

Kuhn T., (1962), La structure des révolutions scientifiques. Flammarion, Paris.

Latour, B., (2007, Reassembling the Social: An Introduction to Actor-Network-Theory, Oxford University Press, USA.

Law J. and Hassard J., (1999), Actor-Network-Theory and after, Wiley-Blackwell.

Le Loarne S., Blanco S., (2009), Management de l’innovation, Pearson Education, Paris.

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Lorenzi J-H., Villemeur A., (2009), L’innovation au cœur de la nouvelle croissance, Economica, Paris.

Lorenzo S. (2008), Gutenberg 2.0 : le futur du livre, M21 Editions, Paris.

Lundvall B-A., (1992), National Systems of Innovation: Toward a Theory of Innovation and Interactive Learning, Printer Publisher, London.

Moore J.F., (1996), The Death of Competition: Leadership and Strategy in the Age of Business Ecosystems, Harper Business, New York.

Nauroy D., (2006), « L’échec du livre électronique Cybook : une innovation en mal de traduction », Hermès, n°45.

Nauroy D., (2007), L’échec du livre électronique de Cytale au prisme des processus de traduction, Presse de l’enssib, Villeurbanne.

Nelson R.R., (1993), National Innovation Systems: A Comparative Analysis, Oxford University Press, New York.

North D., (1990), Institutions, Institutional Change and Economic Performance, Cambridge University Press, New York.

Phol H., Styhre A., and Elmquist M., (2009), « The concept of interessement: The story of a power-split technology for hybrid electric vehicles », International Journal of Innovation Management, Vol. 13, No. 1 (March), p. 47-64.

Rothschild M., (1990), Bionomics: Economy as Ecosystem, Fitzhenry & Whiteside Lts., Ontario.

Schumpeter J.A., (1935), Théorie de l’évolution économique : Recherche sur le profit, le crédit, l’intérêt et le cycle de conjoncture, Dalloz, Paris.

Schumpeter J.A., (1942), Capitalisme, Socialisme et Démocratie, Payot, Paris.

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Teece, D., (1986), « Profiting from Technological Innovation: Implications for Integration, Collaboration, Licensing and Public Policy », Research policy, No. 15, pp. 285-305.

Teece, D., (1992), « Competition, Cooperation, and Innovation: Organizational Arrangements for Regimes of Rapid Technological Progress », Journal of Economic Behavior and Organization, No. 8, pp. 1-25.

Teece, D., (2007), « Explicating Dynamic Capabilities: The Nature and Microfoundations of (Sustainable) Entreprise Performance », Strategic Management Journal, No. 29, pp.

1319-1350.

Dr. Walid A. Nakara is member of the Montpellier Labex Entrepreneurship, Montpellier,

France. This ‘laboratory of excellence’ is part of a French government fund recognizing and

promoting performing research initiatives in human and natural sciences.

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