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Aalto, L, Sirola, P, Kalliomäki-Levanto, T, Lahtinen, M, Ruohomäki, V, Salonen, H and Reijula, K (2019) User-centric work environments in modular healthcare facilities. Engineering, Construction and Architectural Management, 26(06), 1047–62.

Daniel, E I and Pasquire, C (2019) Creating social value within the delivery of construction projects: the role of lean approach. Engineering, Construction and Architectural Management, 26(06), 1105–28.

Du, J, Wang, Q and Shi, Q (2019) Description–experience gap under imperfect information. Engineering, Construction and Architectural Management, 26(06), 1151–70.

Edwards, P and Bowen, P (2019) Language and communication issues in HIV/AIDS intervention management in the South African construction industry. Engineering, Construction and Architectural Management, 26(06), 962–88.

Li, L, Li, Z, Li, X and Wu, G (2019) A review of global lean construction during the past two decades: analysis and visualization. Engineering, Construction and Architectural Management, 26(06), 1192–216.

Lingard, H, Zhang, R P and Oswald, D (2019) Effect of leadership and communication practices on the safety climate and behaviour of construction workgroups. Engineering, Construction and Architectural Management, 26(06), 886–906.

Munir, M, Kiviniemi, A and Jones, S W (2019) Business value of integrated BIM-based asset management. Engineering, Construction and Architectural Management, 26(06), 1171–91.

Seadon, J and Tookey, J E (2019) Drivers for construction productivity. Engineering, Construction and Architectural Management, 26(06), 945–61.

Shalaby, A and Hassanein, A (2019) A decision support system (DSS) for facilitating the scenario selection process of the renegotiation of PPP contracts. Engineering, Construction and Architectural Management, 26(06), 1004–23.

Shrestha, K, Shrestha, P P and Lidder, M (2019) Life-cycle cost comparison of chip seal and striping: in-house workers versus private contractors. Engineering, Construction and Architectural Management, 26(06), 927–44.

Shrestha, P P, Shrestha, K K and Zeleke, H B (2019) Probability of change orders and the effect on cost and schedule for new public school buildings. Engineering, Construction and Architectural Management, 26(06), 1087–104.

Shurrab, J, Hussain, M and Khan, M (2019) Green and sustainable practices in the construction industry. Engineering, Construction and Architectural Management, 26(06), 1063–86.

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, 26(06), 989–1003.

• Type: Journal Article
• Keywords: Knowledge sharing; Knowledge management; Construction; Supply chain management; Supply chain; Engineering; Principal–agent theory; Novel model; Industrial construction supply chain; Incentive model;
• ISBN/ISSN: 0969-9988
• URL: https://doi.org/10.1108/ECAM-05-2018-0218
• Abstract:
  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. 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. 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. 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. 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. 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.

Yalcinkaya, M and Singh, V (2019) Exploring the use of Gestalt’s principles in improving the visualization, user experience and comprehension of COBie data extension. Engineering, Construction and Architectural Management, 26(06), 1024–46.

Zhu, F, Sun, M, Wang, L, Sun, X and Yu, M (2019) Value conflicts between local government and private sector in stock public-private partnership projects. Engineering, Construction and Architectural Management, 26(06), 907–26.

Zohrehvandi, S and Khalilzadeh, M (2019) APRT-FMEA buffer sizing method in scheduling of a wind farm construction project. Engineering, Construction and Architectural Management, 26(06), 1129–50.