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International Journal of Construction Management Volume 17, 2017 - Issue 1
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Original Articles

Integrating analytical hierarchy process and regression for assessing construction organizations’ performance

Emad ElwakilSchool of Construction Management, Purdue University, West Lafayette, Indiana, USACorrespondence[email protected]
Pages 76-88 | Published online: 23 Jun 2016

Citations (8)

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Read on this site (1)

Qais Amarkhil & Emad Elwakil. (2022) Construction organization success strategy in post-conflict environment. International Journal of Construction Management 22:4, pages 701-710.
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Articles from other publishers (7)

Alireza Moghayedi. (2022) Evaluating the impact of uncertainty events on the cost of highway construction project using Adaptive-Network-based Fuzzy Inference System. Proceedings of the Institution of Civil Engineers - Engineering Sustainability, pages 1-10.
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Qais Amarkhil & Emad Elwakil. (2021) Constraints and opportunities facing construction organization in post-conflict condition in Afghanistan. Journal of Financial Management of Property and Construction 26:3, pages 301-318.
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Gan Fui Yee, Suliadi Firdaus Sufahani, Mohd Helmy Abd Wahab & Syed Zulkarnain Syed Idrus. (2021) Analytical Hierarchical Process (AHP): statistical index and factors that influence the housing price in Kuala Lumpur. Journal of Physics: Conference Series 1793:1, pages 012028.
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Thikra Dawood, Emad Elwakil, Hector Mayol Novoa & José Fernando Gárate Delgado. (2021) 3D Interactive Modeling of Pipe Failure in Water Supply Systems. Journal of Contemporary Water Research & Education 171:1, pages 63-73.
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Thikra Dawood, Emad Elwakil, Hector Mayol Novoa & José Fernando Gárate Delgado. (2020) Pressure data-driven model for failure prediction of PVC pipelines. Engineering Failure Analysis 116, pages 104769.
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Zenith Rathore & Emad Elwakil. (2020) Hierarchical Fuzzy Expert System for Organizational Performance Assessment in the Construction Industry. Algorithms 13:9, pages 205.
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Mohammad Hossain, Ross Guest & Christine Smith. (2019) Performance indicators of public private partnership in Bangladesh. International Journal of Productivity and Performance Management 68:1, pages 46-68.
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