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Development of a conceptual benchmarking framework for the construction industry

Joseph Kwame Ofori Kuragu

International Journal of Business Performance Management2025https://doi.org/10.1504/ijbpm.2025.143645article
AJG 1
Weight
0.37

What the paper says

Existing benchmarking frameworks and performance measurement tools are not suitable for the construction industry due to the industry's peculiarities.This paper explores the development of a dedicated benchmarking framework for the construction industry which can be used by construction firms to benchmark their performance against the performance of global leaders.Existing benchmarking frameworks and global performance ranking models identified from literature were reviewed.The strengths and weaknesses of the frameworks and models were identified and have been adapted in developing the benchmarking framework dedicated to the construction industry.The framework was tested using validation interviews with four international construction industry experts and later through an online survey of construction professionals.The benchmarking framework in this paper is the first such framework dedicated to the construction industry.It provides a simple, cost-effective approach to benchmarking that construction firms, including those with little to no benchmarking experience can use.

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https://doi.org/https://doi.org/10.1504/ijbpm.2025.143645

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@article{joseph2025,
  title        = {{Development of a conceptual benchmarking framework for the construction industry}},
  author       = {Joseph Kwame Ofori Kuragu},
  journal      = {International Journal of Business Performance Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijbpm.2025.143645},
}

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Development of a conceptual benchmarking framework for the construction industry

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.