Leveraging complexity for ecosystemic innovation

Russell, Martha G.; Smorodinskaya, Nataliya V.

doi:10.1016/j.techfore.2017.11.024

Cited by 181 publications

(150 citation statements)

References 44 publications

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“…These are characterized by cooperative and competitive strategies between a set of diverse actors in a business-friendly institutional context. They foster innovation processes or the exploitation of technological waves or market opportunities [20]. These phases prioritize growth and competitiveness due to the mastery of existing technological paradigms and market conditions.…”

Section: Discussionmentioning

confidence: 99%

“…In this paper, we follow in the footsteps of the innovation ecosystem as a complex adaptive system characterized by complex (formal, informal, organic, or institutional) relationships between heterogeneous actors, and by a mixed of top-down, bottom-up, and individual and collective initiatives that promote and foster the development of new products and services, as well as the co-evolution of heterogeneous players [20].…”

Section: Methodological Frameworkmentioning

confidence: 99%

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Toward an Evolutionary and Sustainability Perspective of the Innovation Ecosystem: Revisiting the Panarchy Model

Boyer

2020

Sustainability

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This paper proposes an evolutionary and sustainability perspective of the innovation ecosystem. This study revisits the Panarchy model in order to generate new perspectives on the innovation ecosystem. The Panarchy model describes the evolutionary nature of complex adaptive systems relying on four phases, without, however, being deterministic: exploitation, conservation, decline, and reorganization. When ecosystems face important shocks, adaptive mechanisms and properties within the ecosystem lead the ecosystem to a new reorganization phase, which gives birth to another exploitation phase. In this perspective, the innovation ecosystem allows the avoidance of technology lock-ins and structural and organizational rigidity by providing mechanisms to enhance both resilience and competitiveness. Innovation ecosystem sustainability relies on two major dual forces: the exploitative function and the generative or autopoiesis function. Therefore, evolutionary and sustainability perspectives remain the "natural home" for developing works and models about the innovation ecosystem, and instrumental for policy-makers and practitioners involved in innovation management. Sustainability 2020, 12, 3232 2 of 17The approach that developing innovation processes and competitive advantage relies on a business-friendly environment with complex relationships between actors is not new. The Marshallian hypothesis on "industrial districts" have already described the importance of geographic and relational proximity characterized by complementarities and interdependences between a diversity of economic actors regarding the competitiveness of a given territory [11]. Becattini, in the 1980s, expanded the concept of Industrial districts to characterize Italian districts' competitiveness [12]. Porter delved deeper into this concept and popularized, in the 1990s, the cluster concept, which is defined as a concentration of small, medium, or large firms, organizations, and institutions, which are in synergy in a particular technological field within a geographic area [13]. At the same time, evolutionary economists have developed the concept of the "innovation system" as incorporating the role of institutions in the structuring (at different scales: sector, territorial, or topological) of this strategic and interactionist environment favoring the development of innovation processes [14][15][16][17].Given such an abundant theoretical corpus, many are critical of and skeptical about the potential contribution of the innovation ecosystem concept. According to Oh et al., the added value this concept generates is so low that its mobilization exposes the researcher much more to questionable scientific rigor and invalid knowledge production. Its use can even lead to harmful and dangerous political and strategic choices [18]. Faced with these criticisms, the ecosystem concept has become a more and more contested concept, calling for more robust conceptual and theoretical foundations. In addition, these criticisms highlight the need for concrete operational...

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Section: Discussionmentioning

confidence: 99%

Section: Methodological Frameworkmentioning

confidence: 99%

Toward an Evolutionary and Sustainability Perspective of the Innovation Ecosystem: Revisiting the Panarchy Model

Boyer

2020

Sustainability

View full text Add to dashboard Cite

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“…Evolutionary and systemic theories of economic change are required to understand the evolving nature of clusters. Under this assumption, evolutionary economics, inspired by evolutionary biology and ecology, treats the economy like a complex adaptive system (Russell and Smorodinskaya, in press ) where different agents, for example, small and large firms, institutions, universities, investors and entrepreneurs, cooperate and compete to survive in the evolving environment. Evolution is then a process of continuous change (Brown and Eisenhardt, ).…”

Section: The Evolutionary Perspective: Toward Local Innovation Ecosysmentioning

confidence: 99%

Clusters as Innovation Engines: The Accelerating Strengths of Proximity

Ferràs-Hernández

Nylund

2018

European Management Review

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As economic competition is becoming global, innovation clusters emerge as a salient level of competitive analysis. We hence study when and how innovation clusters strengthen innovation at firm level. We review insights in this topic from different theoretical perspectives, for example, neoclassical economics, evolutionary economics, behavioral economics, strategic management and open innovation, in search of a comprehensive theoretical framework that explains the relationship between firm innovation and the concentration of innovative activities in the proximity. We then deduce five strengths which drive technological change in innovation clusters, namely attraction, information, interaction, anticipation, and rivalry. The model has implications for researchers, managers, and policymakers and contributes to our understanding of the acceleration of innovation within clusters.

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“…The innovation network of a company embraces heterogeneous and autonomous agents such as competitors, suppliers, customers, research centers, and other public institutions that interact pursuing the common goal of developing, exploiting, or commercializing an innovation [1,4]. In this sense, the properties of complex adaptive systems are adopted as perspective to study the features of the innovation ecosystems [15] and the industrial districts [1], characterized by a complex network of interorganizational relations.…”

Section: Open Innovation and Complexity Theorymentioning

confidence: 99%

“…Firstly, the close presence of different people willing to innovate within the same facility enables face-to-face meetings and the creation of multiple connections [10]. The co-location of networked agents and the collaboration between them are demonstrated having a crucial role in facilitating knowledge transfer, generating new ideas and transforming them into marketable innovative assets [15]. The business incubators show a commitment in open innovation activities, and at the same time, the tenant start-ups demonstrate an explicit attitude in the co-creation of new ideas with other actors [20].…”

Section: The Start-ups' Incubator As An Open Innovation Environmentmentioning

confidence: 99%

Framing Open Innovation in Start-Ups’ Incubators: A Complexity Theory Perspective

Battistella

Toni

Pessot

2018

Journal of Open Innovation: Technology, Market, and Complexity

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Recently, concepts and principles from the Complexity Theory (or, generally speaking, the complexity sciences) have been applied as a perspective for capturing the influence of the context, interaction, and adaption in the innovation processes, such as the ones enabled in the business incubators. The purpose of this paper is to implement a frame of reference for understanding the start-ups' incubator as a complex system where innovation, learning, and self-organization take place. We build on the interfaces between the Complexity Theory (i.e., complexity sciences) and Open Innovation literature to identify principles, patterns, and conditions that frame the incubation practices as simple rules aimed to sustain the innovation process towards the creation of new ventures. Results from the multiple case studies conducted in five incubators show that the features of variety, nonlinear interaction, interdependence, autonomy, and emergence of the incubation process framed as a complex system are enabled in different ways by the combination of the open innovation practices and services provided by the start-ups' incubators, including the provision of physical infrastructure, access to funding streams, experts/entrepreneurs networking, education/workshops, mentorship, and advice.

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Leveraging complexity for ecosystemic innovation

Cited by 181 publications

References 44 publications

Toward an Evolutionary and Sustainability Perspective of the Innovation Ecosystem: Revisiting the Panarchy Model

Toward an Evolutionary and Sustainability Perspective of the Innovation Ecosystem: Revisiting the Panarchy Model

Clusters as Innovation Engines: The Accelerating Strengths of Proximity

Framing Open Innovation in Start-Ups’ Incubators: A Complexity Theory Perspective

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