Exploring radio frequency identification tools for sustainable construction projects: a hybrid structural equation modeling and deep neural network approaches

Autor: Ahmed Farouk Kineber, Ayodeji Emmanuel Oke, Nehal Elshaboury, Mohamed Elseknidy, Mohammad Alhusban, Ahmad Zamil, Ayman Altuwaim

Publikováno v: Cogent Engineering, Vol 11, Iss 1 (2024)

The wireless use of radio frequency waves for data acquisition and transfer is known as Radio Frequency Identification (RFID). RFID-based systems have been applied in various fields, including building construction and maintenance. This study aims to

Externí odkaz: https://doaj.org/article/da41199ecb9443e7a69204a8e3421bcc

Agile project management for sustainable residential construction: A study of critical success factors

Autor: Ahmed Farouk Kineber, Ayodeji Emmanuel Oke, Nehal Elshaboury, Ziyad Abunada, Mohamed Elseknidy, Ahmad Zamil, Mohammad Alhusban, Samuel Adebobola Ilori

Publikováno v: Frontiers in Built Environment, Vol 10 (2024)

Sustainability principles should be incorporated into all decision-making stages for residential construction projects to ensure maximum revenue while maintaining essential residential building services. This study identifies and analyzes the critica

Externí odkaz: https://doaj.org/article/268f3b061cba460d8523fbd7e6e60c2d

The effect of organizational culture on the organizational commitment: Evidence from hotel industry

Autor: Nael Sarhan, Ayman Harb, Fayiz Shrafat, Mohammad Alhusban

Publikováno v: Management Science Letters, Vol 10, Iss 1, Pp 183-196 (2020)

This study seeks to investigate the association between organizational culture and employees' commitment in the Jordanian hotel sector. The data that were gathered from 248 hotel employees, were about the respondents' organizational culture and its i

Externí odkaz: https://doaj.org/article/c1482b046aa44417b2f95177a2719f32

The application of 'deep learning' in construction site management: scientometric, thematic and critical analysis

Autor: Faris Elghaish, Sandra T. Matarneh, Mohammad Alhusban

Publikováno v: Elghaish, F, Matarneh, S T & Alhusban, M 2021, ' The application of “deep learning” in construction site management: scientometric, thematic and critical analysis ', Construction Innovation . https://doi.org/10.1108/CI-10-2021-0195

Purpose The digital construction transformation requires using emerging digital technology such as deep learning to automate implementing tasks. Therefore, this paper aims to evaluate the current state of using deep learning in the construction manag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ecfd9eff359744095e380dc57ab6d00
https://pure.qub.ac.uk/en/publications/b4bcdf25-a193-440d-8a41-6800144a5236

Procurement Route and Building Information Modelling (BIM) Implementation Effect on Sustainable Higher Education Refurbishment Projects

Autor: Mark Gaterell, Mohammad Alhusban, Mark Danso-Amoako, Salam Al bizri

Publikováno v: Building Information Modelling, Building Performance, Design and Smart Construction ISBN: 9783319503455

Procurement routes currently applied in higher education (HE) predate the use of life cycle Building Information Modelling (BIM) for the delivery of construction projects. To date, little has been done to align the various procurement routes used in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3391ea0ab82e9194d3440d5b251c0ba3
https://doi.org/10.1007/978-3-319-50346-2_8