Abstracts – Browse Results
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Amies, P, Jin, X and Senaratne, S (2025) Achieving Design-Phase Success in Dam Construction: An Exploration of Project Success Elements Through Factor Analysis and Structural Equation Modeling. International Journal of Construction Education and Research, 21(04), 554–84.
Amoah, C and Le Roux, L (2025) Students’ Challenges with Online Remote Teaching and Learning in South Africa. International Journal of Construction Education and Research, 21(04), 533–53.
Ata, O W, Alsalfiti, M S and Rabaya, K S (2025) Building Information Modeling Adoption in the Palestinian Construction Industry: Influencing Factors, External Determinants, and Technology Acceptance. International Journal of Construction Education and Research, 21(04), 482–532.
- Type: Journal Article
- Keywords: BIM adoption; TAM; organizational culture; top management support; PLS-SEM;
- ISBN/ISSN: 1557-8771
- URL: https://doi.org/10.1080/15578771.2024.2423611
- Abstract:
Building Information Modeling (BIM) is a worldwide spreading technology for the Architecture, Engineering, and Construction (AEC) industry that allows for continuous modification and improvement of building models, resulting in improved quality and cost savings in the project. The study aims to investigate the adoption pattern of BIM in the Palestinian market and identify significant factors that influence the adoption process, including top management support, organizational culture, and the number of experts and technicians. A structured questionnaire was developed, distributed electronically, and 168 valid responses were received, leading to a margin error of 4.4% and a response rate of 67.2%. A model, based on the Technology Acceptance Model (TAM) was developed and partial least squares structural equation modeling (PLS-SEM) was utilized to evaluate the measurement model’s reliability and validity, test hypotheses regarding the relationships between constructs, and assess the impact of various factors on the intention to adopt BIM within the construction industry. Six external influences on acceptance are highlighted. Individual and organizational acceptance drivers are identified, including top management support, ease of use, and competitive landscape. Government policies impact adoption and results stress internal and external considerations for BIM adoption.
Farnsworth, C B, South, A J, Barrett-Rodriguez, T J, Wells, M B, Smith, J P and Bingham, E D (2025) Assessing the Effects of Hurricanes Irma and Maria on the Commercial and Civil Construction Industry in Puerto Rico. International Journal of Construction Education and Research, 21(04), 461–81.
Govender, N, Laryea, S and Watermeyer, R (2025) Factors Influencing the Quality of Project Documents Produced by Construction Professionals in South Africa. International Journal of Construction Education and Research, 21(04), 585–613.
Smith, J P, Burgett, J M and Ghosh, S (2025) Work Values and Related Construction Industry Perceptions of US Undergraduate Construction Management Students. International Journal of Construction Education and Research, 21(04), 444–60.