Game analysis of technology innovation alliance stability based on knowledge transfer

Jiang, Zhangsheng; Hao, Yunhong

doi:10.1007/s10588-011-9096-4

Cited by 7 publications

(5 citation statements)

References 24 publications

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“…This firm will be able to improve its position with and without alliance. In another study, Jiang and Hao (2013) introduced asymmetric learning as a factor for technology innovation alliance (TIA) instability. In his opinion, partners are more tolerant of sharing profits with each other when their knowledge acquisition in the TIA is symmetric rather than asymmetric.…”

Section: Discussionmentioning

confidence: 99%

Key success factors for stability of asymmetric technological collaborations: a bionic engineering approach

Ghazinoory,

Aghaei

2023

JBIM

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Purpose This study aims to investigate the importance and effect of asymmetric technological collaborations’ key success factors in developing countries. The number of collaborations between large enterprises and SMEs, known as asymmetric technological collaborations (ATC) is growing considerably. But this asymmetry in itself can increase the number and intensity of collaboration challenges. So far, limited studies have been conducted on the stability of ATCs, and most of them have been in the context of developed countries. Meanwhile, studying the strength and stability of collaboration in the nano industry with growing market value and increasing newcomers is of particular importance. Design/methodology/approach Here, with bionic engineering approach, we used chemistry for the first time to identify the main stability factors of ATCs and build our hypotheses and research model. To this end, we introduced the factors affecting the stability of the dative chemical bond as a bionic counterpart of corporate venture capital (CVC), which is a type of ATC, and proposed 4 hypotheses. We used structural equation modeling (SEM) with partial least squares (PLS) method to examine the hypothesized relationships. Findings The analysis of survey questionnaire data from 26 asymmetric collaborations in Iran’s nanotechnology industry shows that “learning of the acceptor company” with a negative effect, “network ties” and “development of the collaboration host region” with a positive effect and “diversity in the collaboration portfolio” with an inverted U-shaped effect are the most influential factors in the stability and continuity of CVCs, respectively. Originality/value The findings of this research can be the beginning of a broad path leading to exploring and getting inspiration from chemistry to analyze management issues.

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Section: Discussionmentioning

confidence: 99%

Key success factors for stability of asymmetric technological collaborations: a bionic engineering approach

Ghazinoory,

Aghaei

2023

JBIM

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“…They find that the participants will share the cumulative amount of knowledge in the leader-follower differential games; the optimal profits of agents and principal are increased as time progressed, and the agents' effort level of knowledge sharing eventually tending to stability. Jiang and Hao [41] establish a two stages decision-making model to investigate the influence of ownership level and learning ability on the stability of technology innovation alliance from the perspective of knowledge transfer. The Cournot-Nash equilibrium in their model can reveal when the parties decide to maintain or terminate the alliance.…”

Section: Knowledge Sharing Behavior Among Enterprisesmentioning

confidence: 99%

Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory

Kong

Zhu

2019

Sustainability

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Knowledge sharing behavior based on the cluster innovation network has become the primary measure for enterprises to realize sustainable innovation. In order to promote the proactive knowledge sharing behavior among enterprises in the long term, the dynamic evolutionary process and law of knowledge sharing in the network need to be further studied. As different from the hypothesis of the rational man in the classical game theory, this paper establishes an evolutionary game model of knowledge sharing behavior in the cluster innovation network based on the evolutionary game theory, and discusses how the bounded rational enterprises can achieve the evolutionary equilibrium through continuously adaptive learning and strategy optimization, further explores the influence factors on the evolutionary trajectory. Combined with mathematical derivation and simulation analysis, the following results are obtained: over time, the dynamic evolution of knowledge sharing behavior in the cluster innovation network is influenced by initial states of the system, but can always reach the evolutionary stable equilibrium; factors such as synergy revenue have a positive impact on the evolutionary results, while factors such as opportunity interest have a negative impact on the evolutionary results; the factor of revenue distribution has a U-shape relationship with the evolutionary results, and the factor of direct revenue has no effect on the results. The results are expected to have an implication for improving the sustainable innovation development of enterprises in the cluster innovation network.

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“…However, return expectations of the members, indeterminacy of the external environment and negative externality exert unfavorable effects on the stability of the Alliance. Jiang & Hao [28] analyzes the cooperation and stability of the Alliance by employing game theory. Song & Huang [29] have analyses on the stability of strategic alliance by applying hawk-dove game model in the perspective of asymmetric cooperation.…”

Section: ) Studies On the Quantitative Analysis Of The Stability Of mentioning

confidence: 99%

An Outlook on the Research Trends of the Stability of Industrial Technology Innovation Strategic Alliance

Guo¹,

Yang²

2017

Proceedings of the 2nd International Symposium on Business Corporation and Development in South-East and South Asia Under B$R I

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Abstract-Industrial Technology Innovation StrategicAlliance, as a new mode combining production, education and research, has attracted more and more attention. However, as the operating efficiency of the Alliance is not satisfied, the stability of the Alliance becomes the research focus. This paper, on the basis of literal review, points out the deficiency of current research and takes a look on the future research trends, which will lay a solid foundation on its theoretical and empirical study. Furthermore, it provides a reference for the steady operation and consistent development of Industrial Technology Innovation Strategic Alliance under the background of promoting China's "Belt and Road Initiative".

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Game analysis of technology innovation alliance stability based on knowledge transfer

Cited by 7 publications

References 24 publications

Key success factors for stability of asymmetric technological collaborations: a bionic engineering approach

Key success factors for stability of asymmetric technological collaborations: a bionic engineering approach

Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory

An Outlook on the Research Trends of the Stability of Industrial Technology Innovation Strategic Alliance

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