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Collaborative Innovation in Construction Supply Chain under Digital Construction: Evolutionary Game Analysis Based on Prospect Theory

Auteur(s):
ORCID


Médium: article de revue
Langue(s): anglais
Publié dans: Buildings, , n. 7, v. 14
Page(s): 2019
DOI: 10.3390/buildings14072019
Abstrait:

In the context of Digital Construction (DC), collaborative innovation in the construction supply chain (CSC) is crucial for long-term competitiveness. However, transparent information flows and fickle market circumstances hinder enterprises from actively participating in collaborative innovation, making it challenging to establish effective incentive mechanisms. To achieve sustained and stable collaborative innovation, an evolutionary game model of collaborative innovation between core enterprises and member enterprises in the CSC under DC based on Prospect Theory is constructed. Five equilibrium scenarios and evolutionary stability strategies are analyzed, and the corresponding stability conditions are obtained. Finally, the impact of different parameters on strategy selection are analyzed by numerical simulation. The results indicate that the balance between knowledge sharing and knowledge leakage is the premise of the positive impact of DC technology on collaborative innovation. Moreover, the adjustment of gain sensitivity and loss sensitivity is the key to enhancing managerial enthusiasm for collaborative innovation. Furthermore, the design of income distribution and innovation incentives must adhere to the reciprocity principle, while subsidies from owners demonstrate a prominent positive impact on collaborative innovation. This paper systematically expounds the dynamic influence of DC technology application, knowledge spillover effects, and managerial cognitive structures while confirming the intrinsic effect of innovation incentive mechanisms. It provides substantial theoretical reference and management enlightenment for promoting the development of collaborative innovation in the CSC under DC.

Copyright: © 2024 by the authors; licensee MDPI, Basel, Switzerland.
License:

Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original.

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  • Reference-ID
    10795143
  • Publié(e) le:
    01.09.2024
  • Modifié(e) le:
    01.09.2024
 
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