A holistic knowledge sharing framework in high-tech firms: game and co-opetition perspectives

Shih, Meng Hsun; Tsai, Hsien Tang; Wu, Ching‐Yuan; Lu, Chung Han

doi:10.1504/ijtm.2006.010272

Cited by 47 publications

(26 citation statements)

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“…Prior studies investigating coopetition strategies suggest that coopetition appears as an industry related phenomenon (Czakon et al, 2014) as it is identified especially in high-tech and dynamic industries characterized by variability, complexity and high uncertainty (Gnyawali & Park, 2009;Ritala, 2012;Shih, Tsai, Wu, & Lu, 2006). These dynamic environmental conditions might suggest that coopetitors would display cultural traits characteristic for adhocracy model being the most suitable for active, energetic and creative working environments.…”

Section: Organizational Culture Frameworkmentioning

confidence: 99%

Organizational culture and coopetition: An exploratory study of the features, models and role in the Polish Aviation Industry

Klimas

2016

Industrial Marketing Management

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Section: Organizational Culture Frameworkmentioning

confidence: 99%

Organizational culture and coopetition: An exploratory study of the features, models and role in the Polish Aviation Industry

Klimas

2016

Industrial Marketing Management

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“…Based on these studies, we apply GT to evaluate KS behavior of employees in this study. This approach for analyzing KS behavior has not been used widely, except in studies by Alton (2003), Yin and Zhang (2005), Shih et al (2006) and Hanan and Khaled (2007). In these studies, the two choices for each player are either to share or to not share their knowledge.…”

Section: Game Theorymentioning

confidence: 99%

Knowledge sharing: game and reasoned action perspectives

Hsu

Oh³

2009

Industrial Management &Amp; Data Systems

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Purpose - The purpose of this paper is to investigate knowledge sharing (KS) to characterize its behavior in companies based on the concepts of theory of reasoned action and game theory (GT). Design/methodology/approach - The paper proposes two models: Model A: KS process is constructed by capturing personal psychological feelings; and Model B: KS process is not only constructed by personal psychological feelings but also takes into consideration other people's decisions. By comparing the two knowledge-sharing models' predictability performance, the authors are able to characterize the process of KS. Findings - The results show that different companies require different models. On average, Model B with game concept has lower predictive accuracy than the Model A without game concept. Research limitations/implications - The paper provides practical implications for manager to frame effective KS policies and also suggests future studies to improve measurement. Originality/value - The values of this paper are: provide a methodology to determine whether individuals analyze decisions of others in making KS decisions; test the predictive ability of GT analysis in a KS modeling, and build a single-instance two-person game to characterize individuals' tacit KS behavior

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“…Ding and Huang [33] came to conclusions that facilitate knowledge creation by building a game framework, claiming that a certain proportion of leaders and followers may lead to unstable cooperation. Shih et al [34] believe that learning types and stimuli have an impact on knowledge sharing in collaborative teams. Li and Jhang [35] hold that investment in information technology and incentive mechanisms are conducive to improving knowledge benefits.…”

Section: Literature Reviewmentioning

confidence: 99%

Evolutionary Game Analysis on Knowledge-Sharing Behavior in the Construction Supply Chain

Hao

Huang

et al. 2019

Sustainability

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With the increasingly fierce global competition, supply chain members have to collaborate to respond to constant changes. Efficient knowledge sharing is the basis for the collaborative operation of the supply chain. Combined with evolutionary game theory, this paper studies the evolution path and stable strategies of knowledge-sharing behavior between construction supply chain enterprises, analyzing the factors that influence the establishment of a knowledge-sharing alliance. A numerical simulation is conducted to verify theoretical results and the effects of parameter adjustments on behavioral evolution. The results indicate that under different income relationships, knowledge-sharing behavior in construction supply chains presents different evolutionary trajectories. In addition, the probability of accepting the sharing strategy is positively correlated with the penalty coefficient, incentive coefficient, trust level, and synergy coefficient and negatively correlated with cost. This study provides a new perspective and theoretical guidance for establishing stable knowledge collaboration between enterprises and promoting the sustainable development of the construction supply chain.

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A holistic knowledge sharing framework in high-tech firms: game and co-opetition perspectives

Cited by 47 publications

References 0 publications

Organizational culture and coopetition: An exploratory study of the features, models and role in the Polish Aviation Industry

Organizational culture and coopetition: An exploratory study of the features, models and role in the Polish Aviation Industry

Knowledge sharing: game and reasoned action perspectives

Evolutionary Game Analysis on Knowledge-Sharing Behavior in the Construction Supply Chain

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