Identifying Challenges of Internet of Things on Construction Projects Using Fuzzy Approach

Abstract

This study presents a fuzzy decision-making trial and evaluation laboratory (DEMATEL) analysis of the internet challenges of the internet of things (IoT) implementation of construction projects in Nigeria. The identification of the IoT challenges was carried out through a thorough literature search and discussions with 27 built environmental experts. In addition, DEMATEL, an expert judgement-based tool, was used to pick, design, and evaluate a structural model consisting of a causal relationship between defined IoT challenges. Subsequently, the fuzzy DEMATEL was deployed with a view to constructing a structural relationship between the various challenging factors by visualising the dynamic associations between them. Based on the findings of the literature survey and expert evaluation, 18 obstacles to the implementation of IoT in construction projects were classified into cause and effect classes based on their relative parameters of impact. The results suggest that 8 challenges were categorised into the cause group, while 10 were listed into the impact group. The results of this study will enable construction companies, construction industry experts, project managers in Nigeria to enhance their search to design and execute an effective and productive IoT application for their construction projects.

Deterrents to the IoT for smart buildings and infrastructure development: A partial least square modeling approach

“…The discovery that technical barriers substantially influence IoT implementation in advancing smart constructions and infrastructure within the construction sector aligns with a prior study that has recognized technical hindrances to adopting IoT. Amade & Nwakanma (2021) [ 43 ]conducted a study that revealed that technical barriers, including interoperability and integration with legacy systems, were major impediments to the adoption of IoT in the construction sector. This study's distinctive contribution lies in its concentration on building sector and its recognition of particular technical barriers exclusive to this setting, such as industry fragmentation and coordination [ 24 , 56 ].…”

“…Subsequently, a preliminary survey was administered to assess the dependability and authenticity of the survey instrument. The results were subjected to Exploratory Factor Analysis (EFA) to detect any possible shortcomings in the questionnaire [ 43 , 56 ]. The questionnaire for the main survey was modified based on the pilot survey results.…”

“… Literature review and case studies Limited discussion on IoT implementation challenges. [ 19 , 42 , 43 ] 2 Identifies knowledge and financial constraints as significant barriers to IoT adoption. Survey and statistical analysis Limited examination of technical barriers.…”