Evaluating tacit knowledge diffusion with algebra matrix algorithm based social networks

Song, Liang‐Nian; Ma, Yizhong

doi:10.1016/j.amc.2022.127125

Cited by 5 publications

(2 citation statements)

References 43 publications

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“…The technical component consists of technical know-how which applies to a specific context [30]. The tacit knowledge diffusion depends on the decision-making of tacit knowledge owners and the expression of explicit knowledge carriers [31]. Knowledge transfer has important implications for the success of entrepreneurial firms, innovation, and organizational form [32].…”

Section: Methods and Motivationmentioning

confidence: 99%

Construction and Application of Cloud Computing Model for Reciprocal and燙ollaborative Knowledge Management

Li¹,

Bian²,

Guan³

et al. 2023

Computers, Materials &Amp; Continua

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Promoting the co-constructing and sharing of organizational knowledge and improving organizational performance have always been the core research subject of knowledge management. Existing research focuses on the construction of knowledge management systems and knowledge sharing and transfer mechanisms. With the rapid development and application of cloud computing and big data technology, knowledge management is faced with many problems, such as how to combine with the new generation of information technology, how to achieve integration with organizational business processes, and so on. To solve such problems, this paper proposes a reciprocal collaborative knowledge management model (RCKM model) based on cloud computing technology, reciprocity theory, and collaboration technology. RCKM model includes project group management and cloud computing technology, which can realize management, finance, communication, and quality assurance of multiple projects and solve the problem of business integration with knowledge management. This paper designs evaluation methods of tacit knowledge and reciprocity preference based on the Bayesian formula and analyzes their effect with simulation data. The methods can provide quantitative support for the integration of knowledge management and business management to realize reciprocity and collaboration in the RCKM model. The research found that RCKM model can fully use cloud computing technology to promote the integration of knowledge management and organizational business, and the evaluation method based on the Bayesian formula can provide relatively accurate data support for the evaluation and selection of project team members.

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Section: Methods and Motivationmentioning

confidence: 99%

Construction and Application of Cloud Computing Model for Reciprocal and燙ollaborative Knowledge Management

Li¹,

Bian²,

Guan³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…Knowledge spillover, knowledge diffusion, knowledge transfer, and independent learning of innovative subjects all contribute to knowledge flow through the mobility of talents, technology transfer, and collaborative innovation. The purpose of knowledge exchange and the generation of new knowledge can be achieved in which tacit knowledge is more influential and difficult to quantify in comparison with explicit knowledge for innovation (Song & Ma, 2022).…”

Section: Space Of Flowsmentioning

confidence: 99%

Spatio-Temporal Evolution and Mechanisms of Inter-city Cooperative Innovation Network in Sichuan and Chongqing

Wang

2024

SSSR

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This study examines the spatio-temporal heterogeneity and proximity mechanisms of innovation networks in Sichuan and Chongqing by social network analysis and a stochastic actor-oriented model. The findings reveal the following: (1) The quantity of innovation collaborations has significantly increased, resulting in a denser network. A core-periphery structure has emerged, with Chengdu and the Chongqing Central Urban Area serving as the core; (2) Chengdu has played a leading role in the network, while the cities in the Chongqing Central Urban Area have progressively gained importance since 2010, acting as a hub for innovation resource gathering and transit. However, there is a clear tendency toward innovative cooperation between cities within the province; (3) The initial establishment of innovation linkages incurs costs, with endogenous variables playing significant roles in network evolution. Multi-dimensional proximity has positive effects on network evolution, although the level of GDP per capita somewhat hinders innovative cooperation.

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Evaluating the wisdom of scholar crowds from the perspective of knowledge diffusion

Song,

Zhu,

Yin

2024

Scientometrics

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Evaluating tacit knowledge diffusion with algebra matrix algorithm based social networks

Cited by 5 publications

References 43 publications

Construction and Application of Cloud Computing Model for Reciprocal and燙ollaborative Knowledge Management

Construction and Application of Cloud Computing Model for Reciprocal and燙ollaborative Knowledge Management

Spatio-Temporal Evolution and Mechanisms of Inter-city Cooperative Innovation Network in Sichuan and Chongqing

Evaluating the wisdom of scholar crowds from the perspective of knowledge diffusion

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