Collaborative Innovation in Emerging Economies: Case of India and China

Pai, Da-Chang; Tseng, Chun‐Yao; Liou, Cheng-Hwai

doi:10.5172/impp.2012.1312

Cited by 3 publications

(3 citation statements)

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“…Taking a broader approach, Karna, Täube, and Sonderegger (2013) examined characteristics of MNE subsidiaries embedded in networks within geographic clusters (such as Bangalore) and their impact on innovation through knowledge flows. Likewise, Pai, Tseng, and Liou (2012) offered a solution to the problem of low effectiveness of R&D spending; examining patent data, they found that in India, collaboration with participants from advanced countries on innovations were more effective than independent work.…”

Section: Micro/process Studiesmentioning

confidence: 99%

Innovation in India: A review of past research and future directions

et al. 2015

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The rapid economic growth that India enjoyed following the start of its economic reforms in 1991 has led to a growing scholarly interest in Indian organizations and management practices. In this paper, we bring together extant yet dispersed research on one important and salient element of Indian economic growth: innovation. We organize and review the substantive innovation research in India based on its scope and focus, and find that it has yielded unique insights about India's innovation systems and processes at both the institutional and firm levels. Three interesting trends emerge from this review of the literature. First, a growing body of research has started identifying innovation phenomena unique to India, such as Bfrugal innovation^and the related notion of Bjugaad.^Second, a discernible arc in Indian innovation research can be observed, that is, a shift from a focus on the role of the state to the role of MNEs and Indian businesses in innovation. Finally, unlike much innovation research elsewhere, there appears to be significant interest in innovation that serves the need of the

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Section: Micro/process Studiesmentioning

confidence: 99%

Innovation in India: A review of past research and future directions

et al. 2015

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“…Sufficient related research has been conducted on S&T collaborations using data from the USPTO (Ma, Lee, and Chen 2009;Pai, Tseng, and Liou 2012). Results from these studies indicate that assignees are generally associated with patent and intellectual property rights (IPRs) for commercialisation purposes.…”

Section: Methodsmentioning

confidence: 98%

China's patterns of international technological collaboration 1976–2010: a patent analysis study

Wang

Ren

Zhang

et al. 2014

Technology Analysis & Strategic Management

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This study focuses on the trajectories and patterns of China's international collaborations over the period 1976-2010, using patent statistics and association analysis methods. The results identify those government policies that have significantly encouraged changes in the scale and scope of China's collaborations since 1997. The USA and Taiwan are major international collaborators with China, and the top cooperative entities are large-scale multi-national firms, which specialise in production, sales research and development of information or electronics technology; in contrast, universities and research institutions have a negligible presence in international collaborative patenting. This study finds that although China has developed significant international collaborative networks since the 1990s, it still needs to extend these ties to an even greater range of international partners and establish a broader scope of research interests.

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“…Therefore, how to achieve cooperative innovation is a major issue faced by companies in their future development. The data on patent certification and granting published by the United States Patent and Trademark Office (USPTO) show that in developing countries, cooperative innovation is more effective than independent innovation [5] . In other words, the current innovation is gradually shifting to systematization and networking.…”

Section: Introductionmentioning

confidence: 99%

Research on Influencing Factors of Innovation Network Performance of Industrial Enterprises above Designated Size in Nanjing Based on System Dynamics

Yi-bin

Fang²

2021

Complex Syst. Model. Simul.

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Based on the method of system dynamics, this paper simulates the cycle of collaborative innovation network, involving enterprises, government, research institutions, and science and technology intermediaries from the perspective of capital flow. The results of model analysis show that among the influencing factors, the number of innovation achievements is the most complex variable, and the influence of patent elimination rate is the most significant. The number of Research and Development (R&D) projects is most sensitive to the positive impact of the number of technology intermediaries, and with the passage of time, this kind of effect gradually increases. At the same time, the total industrial assets are positively affected by the intensity of enterprise innovation investment, but there is about three years delay in this effect.

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Collaborative Innovation in Emerging Economies: Case of India and China

Cited by 3 publications

References 0 publications

Innovation in India: A review of past research and future directions

Innovation in India: A review of past research and future directions

China's patterns of international technological collaboration 1976–2010: a patent analysis study

Research on Influencing Factors of Innovation Network Performance of Industrial Enterprises above Designated Size in Nanjing Based on System Dynamics

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