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Forecasting the probability of successful deployment of internet of things and cloud computing in the building sector through consistent fuzzy preference relations method

Arpit Solanki (Department of Civil Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, India)
Debasis Sarkar (Department of Civil Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, India)

World Journal of Engineering

ISSN: 1708-5284

Article publication date: 30 April 2024

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Abstract

Purpose

This study aims to identify significant factors, analyse them using the consistent fuzzy preference relations (CFPR) method and forecast the probability of successful deployment of the internet of things (IoT) and cloud computing (CC) in Gujarat, India’s building sector.

Design/methodology/approach

From the previous studies, 25 significant factors were identified, and a questionnaire survey with personal interviews obtained 120 responses from building experts in Gujarat, India. The questionnaire survey data’s validity, reliability and descriptive statistics were also assessed. Building experts’ opinions are inputted into the CFPR method, and priority weights and ratings for probable outcomes are obtained to forecast success and failure.

Findings

The findings demonstrate that the most important factors are affordable system and ease of use and battery life and size of sensors, whereas less important ones include poor collaboration between IoT and cloud developer community and building sector and suitable location. The forecasting values demonstrate that the factor suitable location has a high probability of success; however, factors such as loss of jobs and data governance have a high probability of failure. Based on the forecasted values, the probability of success (0.6420) is almost twice that of failure (0.3580). It shows that deploying IoT and CC in the building sector of Gujarat, India, is very much feasible.

Originality/value

Previous studies analysed IoT and CC factors using different multi-criteria decision-making (MCDM) methods to merely prioritise ranking in the building sector, but forecasting success/failure makes this study unique. This research is generally applicable, and its findings may be utilised for decision-making and deployment of IoT and CC in the building sector anywhere globally.

Keywords

Acknowledgements

The authors would like to thank Pandit Deendayal Energy University, PDEU and all concerned transportation authorities for providing the necessary facilities to carry out this investigation.

Citation

Solanki, A. and Sarkar, D. (2024), "Forecasting the probability of successful deployment of internet of things and cloud computing in the building sector through consistent fuzzy preference relations method", World Journal of Engineering, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/WJE-06-2023-0161

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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