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(4), pp. 482-532. ISSN 1557-8771
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | building information modelling adoption; organizational culture; PLS-SEM; TAM; top management support |
| Index terms: | influencing factor, building information modelling, validity, government policy, construction industry, determinant, cost saving, technology acceptance model, structural equation modelling, top management, questionnaire, partial least square, technology acceptance, organizational culture |
| Subjects: | acoustic properties, innovation and technology management, public policy, evaluation and assessment methods, industry analysis, statistical analysis, information systems, sociology, management, economics, risk assessment, data collection methods |
| Topics: | Risk Management, Engineering Principles, Organizational Design, Digital Applications, Governance, Research Practice, Cost Management |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here