Artificial Intelligence in Water Conservation : A Meta-Analysis Study

Authors

  •   Aaliyah Siddiqui Assistant Professor, Symbiosis Centre for Management Studies, Gat. No.167,168,169, Village Mauje Bhandewadi, Wathoda Layout, Nagpur - 440 008, Maharashtra
  •   Mujahid Siddiqui Deputy Director, Dr. Ambedkar Institute of Management Studies and Research, Deekshabhoomi, Nagpur - 440 010, Maharashtra
  •   Nirzar Kulkarni Associate Director, Dr. Ambedkar Institute of Management Studies and Research, Deekshabhoomi, Nagpur - 440 010, Maharashtra

DOI:

https://doi.org/10.17010/pijom/2022/v15i3/160407

Keywords:

Artificial Intelligence

, Bibliometric Analysis, Meta-Analysis, Technology Applications, Water Management.

JEL Classification Codes

, O330, M150, Q250.

Paper Submission Date

, May 5, 2021, Paper Sent Back for Revision, March 1, 2022, Paper Acceptance Date, March 10, Paper Published Online, March 15, 2022.

Abstract

In present times, the protection of the environment and the conservation of natural resources have emerged as the areas that need immediate attention for the survival and sustenance of the human population. One of the most prominent technological advancements is the surge of artificial intelligence (AI) in various fields. Research efforts to apply AI in water conservation (WC) have been made in multiple domains of study. This study involved a bibliographic analysis of such available documents in the combined field of AI and its application in WC. The analysis was performed using the two major databases of research literature: Web of Science and Scopus. Classification of the information was presented based on comprehensive research available, and then a screening was performed to find the open-access documents on the subject. Leading institutions and countries, most cited research works, leading authors, and the journals that contributed to this literature were presented through the analysis. We used VoS viewer and MS Power BI software for the keyword analysis and identification of contributing countries. The analysis of documents of the past two decades from 2000 – 2020 is presented in the study.

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Author Biographies

Aaliyah Siddiqui, Assistant Professor, Symbiosis Centre for Management Studies, Gat. No.167,168,169, Village Mauje Bhandewadi, Wathoda Layout, Nagpur - 440 008, Maharashtra

Assistant Professor

 

ORCID iD : https://orcid.org/0000-0003-0703-3705

Mujahid Siddiqui, Deputy Director, Dr. Ambedkar Institute of Management Studies and Research, Deekshabhoomi, Nagpur - 440 010, Maharashtra

ORCID iD : https://orcid.org/0000-0002-1881-7938

Nirzar Kulkarni, Associate Director, Dr. Ambedkar Institute of Management Studies and Research, Deekshabhoomi, Nagpur - 440 010, Maharashtra

ORCID iD : https://orcid.org/0000-0002-5947-3174

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Published

2022-03-16

How to Cite

Siddiqui, A., Siddiqui, M., & Kulkarni, N. (2022). Artificial Intelligence in Water Conservation : A Meta-Analysis Study. Prabandhan: Indian Journal of Management, 15(3), 24–41. https://doi.org/10.17010/pijom/2022/v15i3/160407

Issue

Volume 15, Issue 3, March 2022

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC

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