Cooperation in R&amp;D in the pharmaceutical industry: Technological and clinical trial networks in oncology

Fiori, Giovana Maria Lanchoti; Basso, Fernanda Gisele; Porto, Geciâne Silveira

doi:10.1016/j.techfore.2021.121426

Cited by 6 publications

(2 citation statements)

References 47 publications

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“…In addition, collaborative innovation relationships formed between subjects through resource sharing, information exchange, and cooperative interaction can achieve improved innovation performance [17]. As a consequence, collaborative innovation has become a vital innovation strategy [27] and an effective approach for conducting S&T innovation [13,25,28]. For S&T innovation in the military sector, the generation of new military S&T achievements requires multiple stages such as basic research, S&T research, and innovation industry chain integration, etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on military-civilian collaborative innovation of science and technology based on a stochastic differential game model

Liang,

Kang

et al. 2024

PLoS ONE

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The construction of an integrated national strategic system and capability is an essential goal of implementing the strategy of military-civilian integration in the contemporary era. And the collaborative innovation of military-civilian S&T is an inevitable choice to achieve this goal. Due to the dynamic, complex, and stochastic characteristics of military-civilian S&T collaborative innovation, the level of S&T innovation is highly volatile. This paper takes the internal and external stochastic disturbance factors of military-civilian S&T collaborative innovation as the perspective, studies the strategy selection problem of military-civilian S&T collaborative innovation under military domination, constructs a differential game model to explore the innovation strategies under the non-cooperative model without military subsidies, the non-cooperative model with military subsidies, and the collaborative model. Finally, we use numerical experiments to verify the validity of the conclusions. The study shows that: (1) Within a reasonable range of values of the benefit distribution coefficient, the system can achieve the Pareto optimum, and the collaborative model is conducive to improving the S&T innovation level and the optimum benefit level of the system. (2) Military subsidies can increase the benefits of the system and the parties involved to achieve Pareto improvement. (3) The level of S&T innovation under the collaborative model has dynamic evolutionary characteristics of maximum expectation and variance. As the intensity of disturbance increases, the stability of the system may be destroyed. Risk-averse civil enterprises prefer the cooperative mode, whereas risk-averse civil enterprises prefer the non-cooperative model.

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Section: Literature Reviewmentioning

confidence: 99%

Research on military-civilian collaborative innovation of science and technology based on a stochastic differential game model

Liang,

Kang

et al. 2024

PLoS ONE

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“…Government initiatives and support programs have played a role in nurturing Berlin's startup ecosystem. These initiatives include funding opportunities, infrastructure development, and efforts to simplify bureaucratic processes for startups (Fiori, et. al., 2022, Qiu, et.…”

Section: Case Studiesmentioning

confidence: 99%

Entrepreneurial Ecosystems in the Usa: A Comparative Review With European Models

Sunday Tubokirifuruar Tula,

Onyeka Chrisanctus Ofodile,

Chinwe Chinzo Okoye

et al. 2024

Int. j. manag. entrep. res

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This Review provides a concise overview of a comparative review exploring entrepreneurial ecosystems in the United States and their counterparts in Europe. The examination seeks to identify key characteristics, strengths, and challenges within these ecosystems, shedding light on the factors influencing entrepreneurship on both sides of the Atlantic. The entrepreneurial landscape in the United States has long been considered a global benchmark, characterized by a dynamic ecosystem that nurtures innovation, risk-taking, and venture capital. This review engages in a comparative analysis, juxtaposing the American entrepreneurial ecosystem with models prevalent in Europe. It delves into the structural elements, support mechanisms, and cultural factors that shape and differentiate these ecosystems. In the USA, a robust ecosystem is marked by a convergence of factors such as world-class universities, a prolific venture capital landscape, and a culture that embraces risk and failure as integral to the entrepreneurial journey. The review scrutinizes how these elements contribute to the rapid formation and scaling of startups, fostering a culture of innovation and resilience. Contrastingly, European entrepreneurial ecosystems exhibit a diverse range of models influenced by regional variations in culture, regulatory environments, and historical contexts. The analysis probes into the strengths and challenges inherent in these ecosystems, exploring how they navigate issues such as access to capital, risk aversion, and the balance between innovation and regulatory frameworks. The comparative review aims to distill insights that can inform policymakers, entrepreneurs, and stakeholders on both sides of the Atlantic. By understanding the nuances of each ecosystem, the goal is to identify transferable best practices, foster cross-cultural collaborations, and contribute to the evolution of more resilient and globally competitive entrepreneurial environments. In summary, this review illuminates the distinct characteristics of entrepreneurial ecosystems in the USA and Europe, offering a comparative lens to understand the intricacies that drive innovation and economic growth. As the global landscape continues to evolve, this review serves as a valuable resource for shaping policies, fostering collaboration, and advancing the collective understanding of what propels successful entrepreneurship in diverse and dynamic contexts. Keywords: Entrepreneurial, Ecosystem, European, Models, Policies.

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Unlocking Creativity: The Impact of Inventors’ Knowledge Complementarity and Substitutability in Moderating Structural Holes

Wang,

2024

J Knowl Econ

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Cooperation in R&D in the pharmaceutical industry: Technological and clinical trial networks in oncology

Cited by 6 publications

References 47 publications

Research on military-civilian collaborative innovation of science and technology based on a stochastic differential game model

Research on military-civilian collaborative innovation of science and technology based on a stochastic differential game model

Entrepreneurial Ecosystems in the Usa: A Comparative Review With European Models

Unlocking Creativity: The Impact of Inventors’ Knowledge Complementarity and Substitutability in Moderating Structural Holes

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