id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajceb-7634	Aghimien, Douglas Omoregie; Ikuabe, Matthew; Aigbavboa, Clinton; Oke, Ayodeji; Shirinda, Wealthy	Unravelling the Factors Influencing Construction Organisations’ Intention to Adopt Big Data Analytics in South Africa 	2021	20	.pdf	application/pdf	9878	510	44	While several studies have emerged on Big Data adoption, challenges, benefits and diffusion with other digital technologies within the construction industry (Bilal, et al., 2016; Koseleva and Ropaite, 2017; Moynihan, et al., 2017; Lu, et al., 2018), not much as surfaced on the factors that might influence construction organisations intention to adopt this beneficial technology. To determine the factors with greater impact on construction organisations intention to adopt BDA, Fuzzy Synthetic Evaluation (FSE), an application fuzzy set theory (Zhao, Hwang, and Gao, 2016), was adopted.	cache/ajceb-7634.pdf	txt/ajceb-7634.txt