Cargando…
Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis
Over the past decade, neuroscience has been integrated into information systems as a new methodology and perspective to study and solve related problems. Therefore, NeuroIS has emerged as a new cutting-edge research field. This review aimed to identify, summarize, and classify existing NeuroIS publi...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382099/ https://www.ncbi.nlm.nih.gov/pubmed/35992932 http://dx.doi.org/10.3389/fnins.2022.872532 |
_version_ | 1784769226070818816 |
---|---|
author | Lin, Chien-Liang Chen, Zezhou Jiang, Xinyue Chen, Guan Lin Jin, Peiqi |
author_facet | Lin, Chien-Liang Chen, Zezhou Jiang, Xinyue Chen, Guan Lin Jin, Peiqi |
author_sort | Lin, Chien-Liang |
collection | PubMed |
description | Over the past decade, neuroscience has been integrated into information systems as a new methodology and perspective to study and solve related problems. Therefore, NeuroIS has emerged as a new cutting-edge research field. This review aimed to identify, summarize, and classify existing NeuroIS publications through knowledge mapping and bibliometric analysis. To effectively understand the development trend of NeuroIS, this study referred to the journal selection index of the Association of Business Schools in 2021 and journals above three stars in the field of information management as the main selection basis. A total of 99 neuroscience papers and their citation data were included from 19 major information systems journals of SCI/SSCI. This study analyzed bibliometric data from 2010 to 2021 to identify the most productive countries, universities, authors, journals, and prolific publications in NeuroIS. To this end, VOSviewer was used to visualize mapping based on co-citation, bibliographic coupling, and co-occurrence. Keywords with strong citation bursts were also identified in this study. This signifies the evolution of this research field and may reveal potential research directions in the near future. In selecting research methods and analysis tools for NeuroIS, content analysis was used to further conclude and summarize the relevant trends. Moreover, a co-citation network analysis was conducted to help understand how the papers, journals, and authors in the field were connected and related, and to identify the seminal or pioneering major literature. For researchers, network maps visualized mainstream research and provided a structural understanding of NeuroIS. The review concludes by discussing potential research topics in this field. |
format | Online Article Text |
id | pubmed-9382099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93820992022-08-18 Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis Lin, Chien-Liang Chen, Zezhou Jiang, Xinyue Chen, Guan Lin Jin, Peiqi Front Neurosci Neuroscience Over the past decade, neuroscience has been integrated into information systems as a new methodology and perspective to study and solve related problems. Therefore, NeuroIS has emerged as a new cutting-edge research field. This review aimed to identify, summarize, and classify existing NeuroIS publications through knowledge mapping and bibliometric analysis. To effectively understand the development trend of NeuroIS, this study referred to the journal selection index of the Association of Business Schools in 2021 and journals above three stars in the field of information management as the main selection basis. A total of 99 neuroscience papers and their citation data were included from 19 major information systems journals of SCI/SSCI. This study analyzed bibliometric data from 2010 to 2021 to identify the most productive countries, universities, authors, journals, and prolific publications in NeuroIS. To this end, VOSviewer was used to visualize mapping based on co-citation, bibliographic coupling, and co-occurrence. Keywords with strong citation bursts were also identified in this study. This signifies the evolution of this research field and may reveal potential research directions in the near future. In selecting research methods and analysis tools for NeuroIS, content analysis was used to further conclude and summarize the relevant trends. Moreover, a co-citation network analysis was conducted to help understand how the papers, journals, and authors in the field were connected and related, and to identify the seminal or pioneering major literature. For researchers, network maps visualized mainstream research and provided a structural understanding of NeuroIS. The review concludes by discussing potential research topics in this field. Frontiers Media S.A. 2022-08-03 /pmc/articles/PMC9382099/ /pubmed/35992932 http://dx.doi.org/10.3389/fnins.2022.872532 Text en Copyright © 2022 Lin, Chen, Jiang, Chen and Jin. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Lin, Chien-Liang Chen, Zezhou Jiang, Xinyue Chen, Guan Lin Jin, Peiqi Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis |
title | Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis |
title_full | Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis |
title_fullStr | Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis |
title_full_unstemmed | Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis |
title_short | Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis |
title_sort | roles and research trends of neuroscience on major information systems journal: a bibliometric and content analysis |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382099/ https://www.ncbi.nlm.nih.gov/pubmed/35992932 http://dx.doi.org/10.3389/fnins.2022.872532 |
work_keys_str_mv | AT linchienliang rolesandresearchtrendsofneuroscienceonmajorinformationsystemsjournalabibliometricandcontentanalysis AT chenzezhou rolesandresearchtrendsofneuroscienceonmajorinformationsystemsjournalabibliometricandcontentanalysis AT jiangxinyue rolesandresearchtrendsofneuroscienceonmajorinformationsystemsjournalabibliometricandcontentanalysis AT chenguanlin rolesandresearchtrendsofneuroscienceonmajorinformationsystemsjournalabibliometricandcontentanalysis AT jinpeiqi rolesandresearchtrendsofneuroscienceonmajorinformationsystemsjournalabibliometricandcontentanalysis |