<abstract xmlns="http://www.w3.org/1999/xhtml">

<bold>Background:</bold> 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.
<bold>Objectives:</bold> 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.
<bold>Methods/Approach:</bold> 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.
<bold>Results:</bold> The main pillars of knowledge in Green IT/IS research are highlighted, and a chronological map of the field is provided.
<bold>Conclusions:</bold> 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.
</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.

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

International Laboratory for Applied Network Research

National Research University, Higher School of Economics

Business Systems Research Journal

This work is licensed under the Creative Commons Attribution 4.0 International License.

Background: In recent years, the concepts of Green Information Technology and Green Information Systems (Green IT/IS) have attracted the attention of many...

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

Online veröffentlicht: 10. Apr. 2022

Seitenbereich: 17 - 45

Eingereicht: 08. Apr. 2021

Akzeptiert: 09. Aug. 2021

DOI: https://doi.org/10.2478/bsrj-2021-0017

Schlüsselwörter
Green Information System, Green Information Technology, bibliographic networks

© 2021 Anja Žnidaršič et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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

Online veröffentlicht: 10. Apr. 2022

Seitenbereich: 17 - 45

Eingereicht: 08. Apr. 2021

Akzeptiert: 09. Aug. 2021

DOI: https://doi.org/10.2478/bsrj-2021-0017

SchlüsselwörterGreen Information System, Green Information Technology, bibliographic networks

© 2021 Anja Žnidaršič et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Green Information System, Green Information Technology, bibliographic networks