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Mohammad Alhusban ORCID

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Alhusban, Mohammad / Nasereddin, Mohammad / Alghossoon, Abdullah / Hatamleh, Muhammad T.: A hybrid conceptual procurement framework for BIM uptake to enhance buildings'' sustainability performance in the Jordanian public sector. In: International Journal of Building Pathology and Adaptation.

    https://doi.org/10.1108/ijbpa-07-2022-0109

  2. Kineber, Ahmed Farouk / Oke, Ayodeji Emmanuel / Elshaboury, Nehal / Abunada, Ziyad / Elseknidy, Mohamed / Zamil, Ahmad / Alhusban, Mohammad / Ilori, Samuel Adebobola (2024): Agile project management for sustainable residential construction: A study of critical success factors. In: Frontiers in Built Environment, v. 10 (Februar 2024).

    https://doi.org/10.3389/fbuil.2024.1442184

  3. Hatamleh, Muhammad T. / Alzarrad, Ammar / Alghossoon, Abdullah / Alhusban, Mohammad / Ogunrinde, Olugbenro: Strategies for improving project risk management via communication and integration: the case of Jordan. In: Engineering, Construction and Architectural Management.

    https://doi.org/10.1108/ecam-05-2024-0536

  4. Zamil, Ahmad M. / Kineber, Ahmed Farouk / Alhusban, Mohammad (2024): Unveiling the Impact of Psychological Factors on Consumer Purchase Intentions for Overall Sustainable Success in Green Residential Buildings: Using SEM-ANN Analysis. In: Civil Engineering Journal, v. 10, n. 5 (1 Mai 2024).

    https://doi.org/10.28991/cej-2024-010-05-07

  5. Alhusban, Mohammad / Elghaish, Faris / Hosseini, M. Reza / Mayouf, Mohammad: Revamping established project procurement approaches to support BIM implementation. In: Smart and Sustainable Built Environment.

    https://doi.org/10.1108/sasbe-05-2023-0134

  6. Alghossoon, Abdullah / Tarawneh, Ahmad / Hatamleh, Muhammad / Alhusban, Mohammad (2024): Generalizing AISC360–22's high-strength CFT member design equations for economical and safety-enhanced design. In: Journal of Constructional Steel Research, v. 215 (April 2024).

    https://doi.org/10.1016/j.jcsr.2024.108541

  7. Elghaish, Faris / Matarneh, Sandra T. / Alhusban, Mohammad (2022): The application of "deep learning" in construction site management: scientometric, thematic and critical analysis. In: Construction Innovation, v. 22, n. 3 (März 2022).

    https://doi.org/10.1108/ci-10-2021-0195

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