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Abdullahi, B, Ibrahim, Y M, Ibrahim, A and Bala, K (2019) Development of e-tendering evaluation system for Nigerian public sector. Journal of Engineering, Design and Technology , 18(01), 122–49.

Acheamfour, V K, Kissi, E, Adjei-Kumi, T and Adinyira, E (2019) Review of empirical arguments on contractor pre-qualification criteria. Journal of Engineering, Design and Technology , 18(01), 70–83.

Adu, E T and Opawole, A (2019) Assessment of performance of teamwork in construction projects delivery in South-Southern Nigeria. Journal of Engineering, Design and Technology , 18(01), 230–50.

Dadzie, J, Runeson, G and Ding, G (2019) Assessing determinants of sustainable upgrade of existing buildings. Journal of Engineering, Design and Technology , 18(01), 270–92.

Hellas, M S, Chaib, R and Verzea, I (2019) Artificial intelligence treating the problem of uncertainty in quantitative risk analysis (QRA). Journal of Engineering, Design and Technology , 18(01), 40–54.

Hulio, Z H and Jiang, W (2019) An assessment of effects of non-stationary operational conditions on wind turbine under different wind scenario. Journal of Engineering, Design and Technology , 18(01), 102–21.

Ibn Majdoub Hassani, Z, El Barkany, A, Jabri, A, El Abbassi, I and Darcherif, A M (2019) Hybrid approach for solving the integrated planning and scheduling production problem. Journal of Engineering, Design and Technology , 18(01), 172–89.

Luo, Z, Chen, Y, Cen, K, Pan, H, Zhong, M and He, J (2019) Research on comprehensive environmental impact assessment of shale gas development. Journal of Engineering, Design and Technology , 18(01), 1–20.

Mengistu, D G and Mahesh, G (2019) Dimensions for improvement of construction management practice in Ethiopian construction industry. Journal of Engineering, Design and Technology , 18(01), 21–39.

Neshat, N, Hadian, H and Rahimi Alangi, S (2019) Technological learning modelling towards sustainable energy planning. Journal of Engineering, Design and Technology , 18(01), 84–101.

Othman, A A E and Khalil, M H (2019) Divergent heritage sustainability: a threefold approach through lean talent management. Journal of Engineering, Design and Technology , 18(01), 150–71.

Patel, T D, Haupt, T C and Bhatt, T (2019) Fuzzy probabilistic approach for risk assessment of BOT toll roads in Indian context. Journal of Engineering, Design and Technology , 18(01), 251–69.

Soltani, M, Aouag, H and Mouss, M D (2019) An integrated framework using VSM, AHP and TOPSIS for simplifying the sustainability improvement process in a complex manufacturing process. Journal of Engineering, Design and Technology , 18(01), 211–29.

Syed Abu Bakar, S P, Jaafar, M and Muhibudin, M (2019) Intensifying business success of Malaysian housing development firms through entrepreneurial learning. Journal of Engineering, Design and Technology , 18(01), 190–210.

Yap, J B H and Toh, H M (2019) Investigating the principal factors impacting knowledge management implementation in construction organisations. Journal of Engineering, Design and Technology , 18(01), 55–69.

  • Type: Journal Article
  • Keywords: Factor analysis; Learning organisation; Knowledge management; Knowledge creation; Construction industry;
  • ISBN/ISSN: 1726-0531
  • URL: https://doi.org/10.1108/JEDT-03-2019-0069
  • Abstract:
    Knowledge management (KM) is crucial to ensure construction organisations effectively take advantage of existing expertise, engendering faster and more effective decision-making. Most importantly, it helps organisations to learn from past experiences. Despite its increasing academic attention, the implementation of KM is still relatively slow across the construction industry. Therefore, the purpose of this study is to gain a renewed understanding of the extent of KM practices in construction. Design/methodology/approach Quantitative approach using a questionnaire survey was used to prioritise the 15 critical factors and 9 enables of knowledge creation. Finally, an exploratory factor analysis is used to determine the principal elements of successful KM implementation in construction. Findings KM in a construction organisation is significantly influenced by knowledge sharing, collaboration, learning from mistakes, employee training and knowledge strategy. On the other hand, knowledge is created mostly through project mistakes, individual constant self-improvement, challenging barrier, review session and brainstorming discussion. With factor analysis technique, three underlying factors impacting KM practices are capacity and capability improvement, long-term commitment and innovation and synergetic working culture. Research limitations/implications Questionnaire survey was used as the single data collection instrument. The findings of the current study shed light on the salient issues affecting KM practices in construction but may not generalise to organisations operating in other industries. Practical implications These findings can support first-order KM implementation decision-making and enable the exploitation of existing knowledge assets towards achieving sustainable development and competitive advantage. Originality/value Effective KM practices are about finding the best ways to deliver the right knowledge to the right person at the right time, enabling informed decision-making and improving operational efficiencies. The contribution of this study is built upon the examination of the underlying factors of KM implementation; the findings provide insights into the core aspects of KM practices, facilitating managers in prioritising KM strategies that are really going to make a difference.