Table 1.

The drivers behind the AI application in construction projects.

Code	Variables	[45]	[37]	[49]	[25]	[23]	[21]	[34]	[50]	[28]	[33]	[24]	[29]	[17]
D1	The use of AI in boosting its overall adoption			*		*		*						*
D2	AI's role in the quickly expanding field of AI applications in the construction industry		*		*	*			*		*		*	*
D3	The application of AI in the improvement of clients' experience and expectations					*			*			*		*
D4	Development in construction is a driver of AI adoption					*					*			*
D5	Enhanced cyber security in construction technologies as a promotion of the use of AI		*	*		*							*	*
D6	The use of AI is influenced by major investment in its application by the big players in the construction industry			*		*		*			*		*
D7	The rapid advancement of technology in the construction sector serves as a boost for the use of AI		*			*				*	*
D8	The vast opportunities inherent in the industry as a result of technological advancement are a driver of AI adoption					*						*		*
D9	The incorporation of smarter software into the construction sector is a means of improving the adoption of AI					*		*				*		*
D10	Rapid development of the use of AI influencing the use of AI	*	*			*			*		*		*
D11	The potential of AI to overcome information challenges serves as a huge influence on its use		*			*								*
D12	The ability of AI to monitor and observe construction proceedings influences its utilization	*		*				*					*	*
D13	The potential of AI having a considerable relative advantage over other forms of technologies in construction is a good driver for its use				*				*		*			*
D14	The fact that AI is compatible with other technologies is being pointed to as an influencer in its adoption		*	*	*						*			*
D15	The interface of AI even at the experimental stages of construction gives it an edge and improves its likelihood of adoption		*	*			*		*			*		*