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Adzivor, E K, Emuze, F and Das, D K (2023) Indicators for safety culture in SME construction firms: a Delphi study in Ghana. Journal of Financial Management of Property and Construction, 28(03), 293-316.
Badenfelt, U (2010) I trust you, I trust you not: a longitudinal study of control mechanisms in incentive contracts. Construction Management and Economics, 28(03), 10.
Bradley, P E (2010) An ultrametric interpretation of building related event data. Construction Management and Economics, 28(03), 26.
Chao, L-C (2010) Estimating project overheads rate in bidding: DSS approach using neural networks. Construction Management and Economics, 28(03), 99.
Chen, H, Jin, Z, Su, Q and Yue, G (2021) The roles of captains in megaproject innovation ecosystems: the case of the Hong Kong‐Zhuhai‐Macau Bridge. Engineering, Construction and Architectural Management, 28(03), 662-80.
Costa, M and Lisboa, I (2023) Default prediction of small and medium enterprises: Portuguese construction sector. Journal of Financial Management of Property and Construction, 28(03), 439-58.
Fan, R Y C, Ng, S T and Wong, J M W (2010) Reliability of the Box–Jenkins model for forecasting construction demand covering times of economic austerity. Construction Management and Economics, 28(03), 54.
Fernando, S, Panuwatwanich, K and Thorpe, D (2021) Introducing an innovation promotion model for construction projects. Engineering, Construction and Architectural Management, 28(03), 728-46.
Gorod, A, Hallo, L, Statsenko, L, Nguyen, T and Chileshe, N (2021) Integrating hierarchical and network centric management approaches in construction megaprojects using a holonic methodology. Engineering, Construction and Architectural Management, 28(03), 627-61.
Hu, X, Nor, E and Hooy, C W (2023) Do political connections cause over-indebtedness? Empirical evidence from China’s listed construction firms. Journal of Financial Management of Property and Construction, 28(03), 477-97.
Jewell, C, Flanagan, R and Anaç, C (2010) Understanding UK construction professional services exports: definitions and characteristics. Construction Management and Economics, 28(03), 9.
Jiang, W, Ding, L and Zhou, C (2021) Cyber physical system for safety management in smart construction site. Engineering, Construction and Architectural Management, 28(03), 788-808.
Jones, S M, Ross, A and Sertyesilisik, B (2010) Testing the unfolding model of voluntary turnover on construction professionals. Construction Management and Economics, 28(03), 85.
Lawal, H S, Ahmadu, H A, Abdullahi, M, Yamusa, M A and Abdulrazaq, M (2023) Modeling duration of building renovation projects. Journal of Financial Management of Property and Construction, 28(03), 423-38.
Liu, H, Yu, Y, Sun, Y and Yan, X (2021) A system dynamic approach for simulation of a knowledge transfer model of heterogeneous senders in mega project innovation. Engineering, Construction and Architectural Management, 28(03), 681-705.
- Type: Journal Article
- Keywords: driving mechanism; influencing factors; innovations in mega projects; knowledge transfers; partner heterogeneity; system dynamics
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-01-2020-0077
- Abstract:
Purpose: The owners of mega projects typically assemble multiple academic research units and enterprises to form an innovation alliance, which carries out knowledge transfer and knowledge creation targeting technical challenges in the process of engineering construction. Due to high technical and management complexity of mega projects, factors affecting knowledge transfer among innovation subjects are complex and diverse. This study proposes a mixed system dynamics (SD) method to build and simulate the process of knowledge transfer in mega projects innovation and analyzes the driving mechanism that enhances knowledge stock of enterprises and engineering innovation results. Design/methodology/approach: First, this paper proposes a conceptual model for knowledge transfer in mega projects by adopting event analysis of the data gained from investigations and interviews. Then, a qualitative model of knowledge transfer that considers mutual influences of the owner, academic research unit and enterprises is developed. Based on that, mathematical relationship among variables of the qualitative model is determined and a quantitative model of knowledge transfer that considers heterogeneity of knowledge sender is built. Finally, simulation is achieved using Vensim software. Findings: The factors affecting knowledge stock of enterprises are analyzed from three aspects: (1) the individual motives and capability of academic research units and enterprises; (2) the gap between academic research units and enterprises; (3) the heterogeneity of academic research units. The results show that the willingness and capability of knowledge reception by enterprises, specific knowledge transfer context such as relational distance and organization distance between academic research units and enterprises and academic research units with high knowledge stock have key influences on the knowledge stock of enterprises. Research limitations/implications: Factors affecting knowledge transfer within the alliance of innovation in mega projects and their correlations are highly complicated and difficult to determine. Despite massive investigations and interviews on many long-span bridges in China in this study, it is barely possible to directly obtain accurate data for all variables in the model. Limitations of historical data result in limitations on applications of the proposed model. Practical implications: By building the mega projects knowledge transfer model and conducting simulation analysis, this paper has generated practical values for the owners of mega projects on fostering, organizing, coordinating and managing of innovations. Especially, this study provides specific strategies and suggestions on selection of innovation subjects, motivation and guaranteed efficiency of knowledge transfer and knowledge creation of academic research units and enterprises. Originality/value: This study proposes a conceptual model for factors affecting knowledge transfer that applies to innovations in mega project context, which fills the gap in the research of knowledge management in mega project innovations. Additionally, combining with the method of SD, the unique role of owner in knowledge transfer of mega projects and the differences among various knowledge senders and their influences on knowledge stocks of enterprises are thoroughly considered, and the research method of modeling and simulation of knowledge transfer mechanism is supplemented and extended.
Liu, Y, Amini-Abyaneh, A, Hertogh, M, Houwing, E J and Bakker, H (2021) Collaborate to learn and learn to collaborate: a case of exploitative learning in the inter-organizational project. Engineering, Construction and Architectural Management, 28(03), 809-30.
Lowe, R (2000) Defining and meeting the carbon constraints of the 21st century. Building Research & Information, 28(03), 159–75.
Machado, M V, Roche, P M L, Mustieles, F and Oteiza, I d (2000) The fourth house: the design of a bio climatic house in Venezuela. Building Research & Information, 28(03), 196–211.
MacIntyre, S, McCord, M, Davis, P T, Zacharopoulos, A and McCord, J A (2023) A spatial examination of solar PV adopters in Northern Ireland: the role of housing market and socio-economic characteristics. Journal of Financial Management of Property and Construction, 28(03), 317-50.
Okanlawon, T T, Oyewobi, L O and Jimoh, R A (2023) Evaluation of the drivers to the implementation of blockchain technology in the construction supply chain management in Nigeria. Journal of Financial Management of Property and Construction, 28(03), 459-76.
Pellegrini-Masini, G, Bowles, G, Peacock, A D, Ahadzi, M and Banfill, P F G (2010) Whole life costing of domestic energy demand reduction technologies: householder perspectives. Construction Management and Economics, 28(03), 29.
Saka, N and Arowoiya, V (2023) An assessment of the linkages between the construction and other sectors of the Nigerian economy. Journal of Financial Management of Property and Construction, 28(03), 351-73.
Sang, L, Yu, M, Lin, H, Zhang, Z and Jin, R (2021) Big data, technology capability and construction project quality: a cross-level investigation. Engineering, Construction and Architectural Management, 28(03), 706-27.
Smyth, H (2010) Construction industry performance improvement programmes: the UK case of demonstration projects in the ‘Continuous Improvement’ programme. Construction Management and Economics, 28(03), 70.
Stewardson, A, Edwards, D J, Asamoah, E, Aigbavboa, C O, Lai, J H K and El-Gohary, H (2023) The late payment epidemic in UK construction. Journal of Financial Management of Property and Construction, 28(03), 374-97.
Thilakarathne, N, Rathnasinghe, A P, Kulatunga, U, Thurairajah, N and Weerasinghe, L (2023) An investigation of the conflict management strategies in international construction joint ventures of Sri Lanka. Journal of Financial Management of Property and Construction, 28(03), 273-92.
Thormark, C (2000) Including recycling potential in energy use into the life cycle of buildings. Building Research & Information, 28(03), 176–83.
Treloar, G J, Fay, R, Love, P E D and Iyer-Raniga, U (2000) Analysing the life-cycle energy of an Australian residential building and its householders. Building Research & Information, 28(03), 184–95.
Zeng, R, Chini, A and Ries, R (2021) Innovative design for sustainability: Integrating embodied impacts and costs during the early design phase. Engineering, Construction and Architectural Management, 28(03), 747-64.
Zhang, J, Li, H, Li, V, Xia, B and Skitmore, M (2021) Internal relationships of market-oriented EFQM enablers in the Chinese construction industry. Engineering, Construction and Architectural Management, 28(03), 765-87.