Contribution of Internet of things in water supply chain management: A bibliometric and content analysis

Abstract

Purpose

This paper aims to identify the role of internet of things (IoT) in water supply chain management and helps to understand its future path from the junction of computer science and resource management.

Design/methodology/approach

The current research was studied through bibliometric review and content analysis, and various contributors and linkages were found. Also, the possible directions and implications of the field were analyzed.

Findings

The paper’s key findings include the role of modern computer science in water resource management through sensor technology, big data analytics, IoT, machine learning and cloud computing. This, in turn, helps in understanding future implications of IoT resource management.

Research limitations/implications

A more extensive database can add up to more combinations of linkages and ideas about the future direction. The implications and understanding gained by the research can be used by governments and firms dealing with water management of smart cities. It can also help find ways for optimizing water resources using IoT and modern-day computer science.

Originality/value

This study is one of the very few investigations that highlighted IoT’s role in water supply management. Thus, this study helps to assess the scope and the trend of the case area.

Citation

Velani, A.F., Narwane, V.S. and Gardas, B.B. (2023), "Contribution of Internet of things in water supply chain management: A bibliometric and content analysis", Journal of Modelling in Management, Vol. 18 No. 2, pp. 549-577. https://doi.org/10.1108/JM2-04-2021-0090