Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Understanding Factors Influencing Participants’ Knowledge Sharing Behavior in Megaproject Construction in China
Because of the complex relationships and information flows among multiple participants to pose challenge in megaproject management, knowledge sharing in a megaproject can avoid similar mistakes, improve work efficiency, and reduce failure risks so as to improve its performance. However, the formation of such organizational behavior has not been paid enough attention, and the related influencing and incentive factors have not been explored. The main aim of this paper is to explore the predictors of participants’ knowledge sharing behavior based on the theory of planned behavior (TPB), thus revealing how the behavioral intention attitude, subjective norms, and perceived behavioral control affect the intention of the knowledge sharing behavior in the megaproject construction. Data collected from the megaproject managers (116 samples) in China was tested based on TPB and the theory model was tested by using Smart-PLS software. The results demonstrate that the significance of factors affecting the behavioral intention of knowledge sharing can be calculated. The positive relationship between the behavioral intention and knowledge sharing behavior is verified. Four factors affecting participants’ knowledge sharing behavior are classified into benefit perception attitude, risk perception attitude, subjective norms, and perceived behavioral control. Based on the empirical analysis, subjective norms and perceived behavior control are positively correlated with the behavioral intention of knowledge sharing, while the influence of attitude (benefit perception and risk perception) is not verified. This study can contribute to the rapidly emerging research on complex governance of megaprojects from the perspective of knowledge sharing among multiple participants.
Understanding Factors Influencing Participants’ Knowledge Sharing Behavior in Megaproject Construction in China
Because of the complex relationships and information flows among multiple participants to pose challenge in megaproject management, knowledge sharing in a megaproject can avoid similar mistakes, improve work efficiency, and reduce failure risks so as to improve its performance. However, the formation of such organizational behavior has not been paid enough attention, and the related influencing and incentive factors have not been explored. The main aim of this paper is to explore the predictors of participants’ knowledge sharing behavior based on the theory of planned behavior (TPB), thus revealing how the behavioral intention attitude, subjective norms, and perceived behavioral control affect the intention of the knowledge sharing behavior in the megaproject construction. Data collected from the megaproject managers (116 samples) in China was tested based on TPB and the theory model was tested by using Smart-PLS software. The results demonstrate that the significance of factors affecting the behavioral intention of knowledge sharing can be calculated. The positive relationship between the behavioral intention and knowledge sharing behavior is verified. Four factors affecting participants’ knowledge sharing behavior are classified into benefit perception attitude, risk perception attitude, subjective norms, and perceived behavioral control. Based on the empirical analysis, subjective norms and perceived behavior control are positively correlated with the behavioral intention of knowledge sharing, while the influence of attitude (benefit perception and risk perception) is not verified. This study can contribute to the rapidly emerging research on complex governance of megaprojects from the perspective of knowledge sharing among multiple participants.
Understanding Factors Influencing Participants’ Knowledge Sharing Behavior in Megaproject Construction in China
Liu, Mingqiang (Autor:in) / Le, Yun (Autor:in) / Zhang, Xinyue (Autor:in)
Construction Research Congress 2020 ; 2020 ; Tempe, Arizona
09.11.2020
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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