Abstract
The construction industry is termed as a highly risky industry, considering the alarming rate of recurring challenges and its negative impact on the economy, man, and his environment. This study aimed to develop a framework using knowledge management in tackling recurring problems in the Nigerian construction industry. The data instrument was a well-designed questionnaire directed at construction professionals. Out of the 80 questionnaires distributed, the study used 78 (97.5%) questionnaires for analysis. The study identified corruption, inadequate planning measures, and reduced government policies as the main factors influencing recurring project management challenges in the Nigerian construction industry. The study revealed significant knowledge management strategies used by Nigerian construction professionals, which include the use of emails, face-to-face interactions, and brainstorming sessions. The knowledge management strategies are further classified into data mining based, traditional based, and mobile technology-based knowledge management strategies in the construction sector. The primary benefits associated with knowledge management mechanisms in the construction industry include high growth performance, aid decision making, and innovation in the construction sector. Further classification showed that these benefits are mainly performance-based and collaboration and learning-based benefits. The study proposed a knowledge management framework for tackling recurring challenges in the Nigerian construction industry. Some recommendations drawn from the findings and conclusions can be found in this study.
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The authors appreciate the kind efforts of Covenant University through its Centre for Research, Innovation, and Discovery in paying for the article processing charge of this article.
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Oluwamayowa, A., Adedeji, A., Sanjay, M., Faith, A. (2020). Empirical Framework for Tackling Recurring Project Management Challenges Using Knowledge Management Mechanisms. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12254. Springer, Cham. https://doi.org/10.1007/978-3-030-58817-5_67
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