Predicting the success possibility of internet of things and cloud computing implementation in the construction sector: a case study from Gujarat, India

This study aims to identify important factors, analyze them through the Analytical Hierarchy Process (AHP), Consistent Fuzzy Preference Relations (CFPR), and Survey, and predict the possibility of successful implementation of the Internet of Things (IoT) and Cloud Computing (CC) in the construction sector of Gujarat, India. Previous studies primarily focused on ranking factors through various Multi Criteria Decision Making (MCDM) methods, but this research uniquely predicts success/failure. From past studies, twenty important factors were identified, and a questionnaire survey, along with personal interviews, collected one hundred twenty responses from construction experts in Gujarat, India. The responses were analyzed using AHP, CFPR, and Survey to identify important factors and predict success/failure. The findings show that the most important factor is cost and connectivity issues, with priority weights of 0.1644 (AHP), 0.0836 (CFPR), and 0.0530 (Survey) and predicted success/failure weights of AHP (0.7465/0.2535), CFPR (0.7473/0.2527), and Survey (0.7418/0.2582). According to the prediction values, the possibility of success is twice that of failure, indicating that IoT and CC can be successfully implemented in the construction sector of Gujarat, India. The findings of this study can guide decisions on implementation, predict success/failure, aid in future planning, determine necessary improvements, and evaluate associated risks and benefits. These findings have broad applicability and can be used to implement IoT and CC within the construction sector globally.