Innovation Indicators

Bloch, Carter; López-Bassols, Vladimir

doi:10.1787/9789264056213-3-en

Cited by 6 publications

(1 citation statement)

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“…We argue that emerging economies exhibit peculiarities that not only justify but also demand specific research attention and that prevent the direct transferability of findings from studies conducted in European or OECD settings (e.g. Bloch and Lopes-Bassols, 2010). In Turkey, specific mechanisms to support external cooperation for research and development (R&D) and innovation activities have been implemented since the early 2000s.…”

Section: Optimal Cooperation For Innovationmentioning

confidence: 98%

Cooperation for innovation: more is not necessarily merrier

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Yurtseven

2021

EJIM

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PurposeEmbracing a large set of innovation objectives and collaborating with diverse partners have been promoted as a means to improve innovation performance. However, empirical evidence on the relationships between breadth of objectives, breadth of cooperation and innovation performance is limited, particularly in the context of emerging economies. A larger number of objectives and cooperation partners inevitably increases the complexity in organizational alignment, and cooperation eventually leads to diminishing returns. This study adds to the debate on the costs and benefits of cooperation for innovation. Understanding the optimal levels of the breadth of objectives and cooperation supports managerial decision-making and productivity in the practice of cooperation for innovation.Design/methodology/approachOperationalizing breadth of innovation objectives and cooperation via the Turkish Community Innovation Survey data, self-reports reflecting 5,863 firm-level responses between 2006 and 2008 are analysed using tobit and probit models. The maximum likelihood estimator is used to find the optimal levels for breadth of objectives and cooperation.FindingsFirms with greater breadth of innovation objectives experience higher innovation performance; those with greater breadth of cooperation also experience higher innovation performance, but our results indicate the existence of optimal levels of breadth for both innovation objectives and cooperation.Research limitations/implicationsThe authors extend the logic that there is no safety in numbers in cooperation for innovation. If the aim is to enhance innovation performance, managers and policymakers need to pay attention to the number of innovation objectives and the amount of cooperation pursued by firms. However, innovation success may be closely associated with a firm's dynamic capabilities and ability to mobilize its resources. Drawing on organizational learning theories, future research could explore why a lower than maximum level of cooperation may be more conducive to reaching levels of enhanced innovation performance and whether this level is influenced by cognitive processes.Originality/valueThe authors draw attention to the ideal number of innovation objectives and number of cooperating partners required to enhance innovation performance, thus contributing to the debate on the complex relationships between innovation, performance and cooperation in the unique setting of a large developing economy.

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Section: Optimal Cooperation For Innovationmentioning

confidence: 98%