EVALUATING THE ACCEPTANCE OF ARTIFICIAL INTELLIGENCE ENABLED BUILDING INFORMATION & MODELLING THROUGH TECHNOLOGY ACCEPTANCE MODEL FOR CONSTRUCTION INDUSTRY

Abstract

The architecture, engineering, and construction (AEC) sector and industry in India is currently undergoing a period of transition due to the constant and rapid advancements in technology. One of the latest technological developments in the AEC industry is “Building Information & Modelling (BIM)”. While many architects have incorporated this high-tech tool into their offices, only a small number of architectural firms in India have implemented BIM on their projects, and even then, not in its entirety. As a result of low adoption rates among architects and designers, BIM is still considered to be in its early stages of implementation in India. The construction industry in India accounts for at least 5% of the nation's GDP and contributes 78% to the gross capital formation related with the sector of built environment. “Building Information & Modelling (BIM)” has immense potential and capabilities to improve and enhance society in terms of building construction and design. BIM helps achieve these goals by reducing costs, diminishing human errors, aggregating productivity, and decreasing time taken for the successful project delivery to ensure that the intended quality output across all associated spheres in the AEC sector and industry is of the highest quality at both the micro and macro level. The digitalization of the construction industry has the ability to vastly improve industry practices. Despite this, traditional construction methods remain the norm in current construction project management practices. The application and use of fully automated AI enabled technological techniques in the construction industry is not yet widespread, which may explain the slow adoption of digital growth, especially and more specifically in most of the developing countries. This study is aimed towards assessing and investigating the level of acceptance for the incorporation of “Building Information & Modeling (BIM)” and “Artificial Intelligence (AI)” in the construction sector and industry. The objective of this study is to determine how well “Building Information & Modelling (BIM)” and “Artificial Intelligence (AI)” are received in the construction sector. The “Technology Acceptance Model (TAM)” was used in the study to accomplish this goal. According to TAM, the user's acceptance of an information system can be assessed using elements like perceived usefulness (PU), perceived ease of use (PEOU), attitudes towards using (ATU), and behavioral intents to use (BUI). A survey was done among professionals in the construction business using a questionnaire that was created based on the TAM constructs. According to the study, professionals' attitudes towards utilizing Building Information Modelling (BIM) and their perceptions of its value both affected their behavioral intention to use BIM. Overall, the study showed that respondents accepted BIM to a high degree. The results provide us a deeper knowledge of BIM user adoption in the building sector. It is advised to employ workshops and seminars to educate experts in the building sector about the value and application of BIM. Additionally, educational institutions that offer programs connected to building should think about incorporating BIM into their courses. Additionally, clients should be urged to insist on the usage of BIM in their projects.