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A Bibliometric Network Analysis of Green Information Technology and Green Information Systems Research Cover

A Bibliometric Network Analysis of Green Information Technology and Green Information Systems Research

Open Access
|Apr 2022

Abstract

Background: In recent years, the concepts of Green Information Technology and Green Information Systems (Green IT/IS) have attracted the attention of many researchers. Several environmental and sustainability studies have suggested that smart usage of Green IT/IS is one of the most important enablers for sustainable development in organizations and plays an essential role in greening the planet.

Objectives: This paper aims to examine the development of the Green IT/IS field based on the published works. The focus is on analysing the keywords of related papers obtained from the Web of Science database.

Methods/Approach: Based on the two-mode network of papers and keywords, the analysis of co-occurrence of keywords is provided. The most frequent keywords discovered by the temporal network analysis are presented from the perspective of the most prominent journals.

Results: The main pillars of knowledge in Green IT/IS research are highlighted, and a chronological map of the field is provided.

Conclusions: Green IT/IS’s studied field shows constant growth in the last decades, and the results indicate the trends of future development in the field. The paper is one of the first studies that apply the bibliographic network analysis approach to the field of Green IT/IS.

DOI: https://doi.org/10.2478/bsrj-2021-0017 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 17 - 45
Submitted on: Apr 8, 2021
Accepted on: Aug 9, 2021
Published on: Apr 10, 2022
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2022 Anja Žnidaršič, Daria Maltseva, Alenka Brezavšček, Matjaž Maletič, Alenka Baggia, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution 4.0 License.