2011
DOI: 10.1007/978-3-642-20042-7_55
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Antecedents of Team Creativity and the Mediating Effect of Knowledge Sharing: Bayesian Network Approach to PLS Modeling as an Ancillary Role

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Cited by 5 publications
(3 citation statements)
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References 29 publications
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“…Members in organization may get creative ideas when they share their ideas with others and when they discuss ideas. Lee et al (2011) argued that knowledge sharing was a critical facilitator of creative ideas, and was a primary factor to facilitate organizational creativity and innovation. Furthermore, knowledge sharing could also stimulate individual creativity (Chen and Chen 2010), because knowledge sharing could help collaboration within an organization, and could also improve the domain knowledge (Amin et al 2011).…”
Section: Knowledge Sharing and Individual Creativitymentioning
confidence: 99%
“…Members in organization may get creative ideas when they share their ideas with others and when they discuss ideas. Lee et al (2011) argued that knowledge sharing was a critical facilitator of creative ideas, and was a primary factor to facilitate organizational creativity and innovation. Furthermore, knowledge sharing could also stimulate individual creativity (Chen and Chen 2010), because knowledge sharing could help collaboration within an organization, and could also improve the domain knowledge (Amin et al 2011).…”
Section: Knowledge Sharing and Individual Creativitymentioning
confidence: 99%
“…Knowledge sharing has an impact on the innovation of employees (Perry-smith, 2006; Thompson and Heron, 2006; Lee et al , 2011), while individual knowledge sharing is also influenced by personal perceptions, such as perceived relative advantage, happiness and subjective well-being (Lin et al , 2009). Knowledge sharing thus may play a mediation role in the relationship of subjective well-being and innovation behavior.…”
Section: Theory and Hypothesesmentioning
confidence: 99%
“…The publications by , Anderson and Vastag (2004), Lauría and Duchessi (2006), Gupta and Kim (2008), and Lee et al (2011) are among the few in which theories are extended to decision support tools. These authors deployed standard methods such as exploratory, confirmatory factor analysis and SEM to capture causal mechanisms and to evaluate theoretical models.…”
Section: Probabilistic Causal Modeling Overviewmentioning
confidence: 99%