Determinants for Building information modeling adoption in Facilities Management in South Africa: An application of the UTAUT model
Abstract
Based on the diversity of the informational needs of an organisation, various information technology systems are introduced and used to support a wide range of Facilities Management (FM) information. The adoption of BIM in FM offers an opportunity for facilities managers to add value to the facilities planning, maintenance, occupation and operations management. Effective adoption of BIM in FM would require better knowledge of relevant and influential factors, which hitherto have not been explored adequately in emerging economy contexts such as South Africa. Therefore, this study aimed to identify and evaluate the determinants for adopting BIM for FM practice, using South Africa as context and the UTAUT model as a theoretical framework for examining determinants of BIM adoption in FM. Relevant literature review was complemented, and a survey strategy was used for data collection through the development of a questionnaire instrument. The results demonstrate a strong relationship between Performance Expectancy and Behavioural Intention, indicating the influence of organisations and senior management on BIM adoption in FM and that Attitude has a significant effect on Use Behaviour. The findings align with the UTAUT model and add to the body of practical reference BIM adoption in FM.
Keywords: BIM, Facilities Management, determinants, UTAUT model, information management
DOI: 10.54941/ahfe1002528
Cite this paper
More from this volume
- KONECT: Implementation and Extension of a Method for the Development of Safety-Critical Human-Machine Interaction Interfaces
- A new conceptual design for subsea charging station
- Concept for the Selection and Positioning of Sensor Technology in the Development of Advanced Systems
- Procedure Parsing: A Method for Parsing Handwritten Documents into Computer-Based Procedures
- Implementing Alexa virtual assistant in learning a new language: Students’ perception analysis
- Development of A Smart Database for Construction Inventory Management Using Deep Learning to Eliminate Supply Chain Bottlenecks Post COVID-19
- Architectural Approaches to Overcome Challenges in The Development of Data-Intensive Systems
- Fuzzy Choice – The Facebook Facade of The Triple Parliamentary Election Campaign 2021 In Bulgaria
- Integrating Human Survival Factor in Optimizing the Routing of Flying Ad-hoc Networks in Search and Rescue Tasks
- Football Matches Outcomes Prediction based on Gradient Boosting Algorithms and Football Rating System
- Human Factors and Strategic Decision Making: The Case of Humanitarian Logistics
- Digital Environments to Enable High-Quality Education for Disadvantaged and Disabled Learners in Bulgaria


AHFE Open Access