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Holistic Algorithms for Examining the Non-Performance of Lean Method of Construction for Accelerating Efficient Utilization of Lean Construction Methods in Ghana

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Napoleon Kuebutornye Dk, Michael Tsorgali, Nongiba Alkanam Kheni

Summary

Researchers investigated the barriers to adoption of lean construction methods in Ghana using a mixed-methods approach combining questionnaires with NVivo 11 qualitative analysis. The study identified key non-performance factors limiting efficient and sustainable project delivery among operational managers and construction industry personnel.

Lean construction process is key to efficient, sustainably and economical project delivery success of construction project; however, globally, LC is a critical tool in construction project management in the construction industry; especially in the developing economies of which Ghana is no exception. This study sought to examine nonperformance of lean construction method to enable efficient utilization of lean construction methods for sustainably, economical and proficient project delivery in Ghana. The study adopted mixed research approach. Using empirical data obtained from administration of questionnaires to Operational Managers/Staff and Expect personnel in Ghana; the data was analyzed using NVivo 11 software method. The study indicated that the surveyed participants across the cases had limited understanding, familiarity, and usage of lean construction methods. The study further revealed that the lean implementation challenges identified, in addition to the key indicators which represent the performance of LCM, were all significantly negative from the statistics of the study, establishing the non-performance of LC in Ghana. The study concluded that the adoption of lean principles will lead to more economical and sustainable projects in the industry. As a recommendation, it was suggested that management develop LC policies to guide the implementation and commit to the methods to enable efficient utilization of LC. Keywords: Lean, Construction, Method, Efficient, Utilization, DOI: 10.7176/IKM/14-2-02 Publication date: March 31 st 2024

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