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The incentive mechanism of knowledge sharing in the industrial construction supply chain based on a supervisory mechanism

Qiankun Wang (Department of Management Engineering, School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China)
Qiao Shi (Department of Management Engineering, School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 26 February 2019

Issue publication date: 10 July 2019

Abstract

Purpose

Knowledge sharing is an important way to improve the knowledge system of industrial construction, and the supervision mechanism is an important way to improve the efficiency of knowledge sharing. However, some research works and practices indicate that the effects of applying the supervision mechanism are not obvious. Therefore, the purpose of this paper is to propose an incentive method of knowledge sharing based on the supervision mechanism for promoting knowledge sharing among member enterprises in the industrial construction supply chain.

Design/methodology/approach

A basic incentive model and an optimization model of knowledge sharing in the industrial construction supply chain based on the supervision mechanism were developed via the principal–agent theory. Weighted coefficients of explicit and implicit knowledge sharing were introduced into the basic model, while the supervision reward was added into the basic model of the optimization model. The effect of these two models was compared and analyzed via numerical simulation.

Findings

The optimal incentive coefficient and effort level of knowledge sharing can be obtained by solving the two aforementioned models. The results of the comparison between the two models indicate that the introduction of a supervisory reward improved the effort level and expected earnings produced by knowledge sharing, but reduced the confirmed equal earnings of member enterprises in the industrial construction supply chain.

Research limitations/implications

Mutual transformation between tacit and explicit knowledge was not considered, and supervisory costs were also not considered, in the estimation of the output of knowledge sharing.

Practical implications

The new models proposed by this study provide theoretical guidance for the design of knowledge sharing incentive measures in the industrial construction supply chain based on the supervision mechanism. The findings suggest that member enterprises should pay attention to the costs of knowledge sharing, in order to obtain more benefits.

Originality/value

This study introduced the weight coefficients of explicit and implicit knowledge sharing into a previous incentive model, proposed an incentive optimization model of knowledge sharing in the industrial construction supply chain based on a supervisory mechanism, and revealed the change rules of related variables that affect the model with the change in weight coefficients. The findings verify the effectiveness of introducing supervisory reward measures and extend the range of theoretical application.

Keywords

Acknowledgements

The research is supported by the Key Project in the National Science & Technology Pillar program during the 12th Five-Year Plan Period (No. 201530). In addition, many experts and students also gave his valuable suggestions to this paper, and the authors express gratitude to them all.

Citation

Wang, Q. and Shi, Q. (2019), "The incentive mechanism of knowledge sharing in the industrial construction supply chain based on a supervisory mechanism", Engineering, Construction and Architectural Management, Vol. 26 No. 6, pp. 989-1003. https://doi.org/10.1108/ECAM-05-2018-0218

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited