Barriers to Using Cloud Computing in Sustainable Construction in Nigeria: A Fuzzy Synthetic Evaluation

Abstract

This study aims to assess the barriers impeding cloud computing (CC) applicability in sustainable construction. A total of 11 barriers in the use of CC were identified for the literature review. A questionnaire survey was used to collect the data from construction stakeholders. In total, 101 valid responses were obtained and analyzed using mean ranking, normalized value (NV), overlapping analysis, Kruskal–Wallis H test, exploratory factor analysis (EFA), and fuzzy synthetic evaluation (FSE). The EFA extracted four interrelated components: social, economic, expertise, and connectivity. These components were exported for mathematical analyzing using the FSE technique. As a result, the FSE indicated that connectivity is the highest-impacted component, while the overall impact level of barriers is inclined to high regarding CC applicability in sustainable construction. This is due to other components having an average to high impact level. In this regard, the findings reflect the actual current status of developing countries in using CC in sustainable construction. These research findings will allow construction stakeholders to take proactive steps toward increasing the use of CC in their current and future sustainable construction. Decision-makers could also make accurate decisions that are well-informed in managing CC barriers. This paper provides stakeholders, researchers, and decision-makers with a list of CC barriers that hinder developing countries.

Analyzing the Critical Parameters for Implementing Sustainable AI Cloud System in an IT Industry Using AHP-ISM-MICMAC Integrated Hybrid MCDM Model

“…Oke et al [45] investigated CC barriers using exploratory factor analysis (EFA) and partial least square (PLS)-SEM for developing a sustainable construction environment and concluded that social barriers are the most challenging ones. Omer [46] further considered a case study on sustainable construction to analyze 11 CC barriers under a fuzzy environment.…”

Drivers for design for deconstruction (DfD) implementation among design professionals

“…The MSR, standard deviation, and normalization technique were further used to rank the drivers for DfD implementation in the GCI. The NV indicates adjusting the survey items to standardized values between zero and one (Omer et al, 2023). In this manner, the variable that has the highest mean value converts to one, while the least mean value is converted to zero.…”

“…Equation ( 1) is used to compute the NV of the various drivers. According to Omer et al (2023), an NV of 0.60 was used to detect the crucial variables. In this regard, all the variables/drivers with NV of 0.60 and above were considered crucial to implementing DfD in the GCI.…”