Barriers to the Implementation of Radio Frequency Identification (RFID) for Sustainable Building in a Developing Economy

Abstract

Sustainability principles need to be applied at all the stages of the decision-making process concerning the building of urban housing to realize maximum benefits without compromising the project’s function. This paper aims to investigate the applicability of radio frequency identification (RFID) and identify the barriers that impede its successful adoption in building projects to achieve sustainability in building. The literature was reviewed, and data were derived by complementing the quantitative technique. A questionnaire was employed to gather data from 107 stakeholders in the building industry in Nigeria. The data were scrutinized using the exploratory factor analysis (EFA) technique. The partial least square structural equation modeling (PLS-SEM) was also applied to create a model for embracing RFID tools for sustainable building. The results of EFA revealed that the RFID barriers could be classified into significant constructs: infrastructure, immaturity, privacy, and security. The PLS-SEM model revealed that infrastructure was the most significant barrier to RFID implementation in the building industry. Thus, this study’s findings could aid decision makers in facilitating sustainability approaches in buildings projects through RFID implementation. These results would further lay the basis for objectively measuring and valuing the diverse barriers impacting RFID implementation.

Decision Making Model for Identifying the Cyber Technology Implementation Benefits for Sustainable Residential Building: A Mathematical PLS-SEM Approach

“…This may be assessed using Harman's single-factor evaluation of model structures, which reveals different structural measurements [28]. In this research, the single-factor test was utilized to assess the standard method's variance [57]. If the total variance of the components is less than 50%, then the common method bias has no impact on the results [28].…”

“…Discriminant validity denotes that the phenomenon being assessed is empirically distinct and shows that no measures can identify the phenomenon being studied in SEM [56]. Campbell and Fiske [57] argued that for discriminatory validity to be proven, the similarity across measures need not be too great.…”

“…Respondents judged the benefits of cyber technology based on their knowledge and experience using a 5-point Likert scale, with 5 being extremely high, 4 being high, 3 being average, 2 being small, and 1 denoting no or a very small. This scale was used in some previous studies [57][58][59][60][61][62][63][64]. In this study, convenience sampling approaches were used.…”