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...

Full description

Bibliographic Details
Main Authors: Chien-Liang Lin, Zezhou Chen, Xinyue Jiang, Guan Lin Chen, Peiqi Jin
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.872532/full
_version_ 1811343090079760384
author Chien-Liang Lin
Chien-Liang Lin
Zezhou Chen
Xinyue Jiang
Guan Lin Chen
Peiqi Jin
author_facet Chien-Liang Lin
Chien-Liang Lin
Zezhou Chen
Xinyue Jiang
Guan Lin Chen
Peiqi Jin
author_sort Chien-Liang Lin
collection DOAJ
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.
first_indexed 2024-04-13T19:23:34Z
format Article
id doaj.art-7afee46749c5436d8fc8432903c0b8bc
institution Directory Open Access Journal
issn 1662-453X
language English
last_indexed 2024-04-13T19:23:34Z
publishDate 2022-08-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Neuroscience
spelling doaj.art-7afee46749c5436d8fc8432903c0b8bc2022-12-22T02:33:26ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2022-08-011610.3389/fnins.2022.872532872532Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content AnalysisChien-Liang Lin0Chien-Liang Lin1Zezhou Chen2Xinyue Jiang3Guan Lin Chen4Peiqi Jin5College of Science and Technology, Ningbo University, Ningbo, ChinaResearch Center for Ningbo Bay Area Development, Ningbo University, Cixi City, ChinaSchool of Economics, Zhejiang University of Technology, Hangzhou, ChinaCollege of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, ChinaDepartment of Distribution Management, Shu-Te University, Kaohsiung, TaiwanSchool of Foreign Language, Zhejiang University of Technology, Hangzhou, ChinaOver 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.https://www.frontiersin.org/articles/10.3389/fnins.2022.872532/fullNeuroISneurosciencebibliometric studymanagement information systemsVOSviewer
spellingShingle Chien-Liang Lin
Chien-Liang Lin
Zezhou Chen
Xinyue Jiang
Guan Lin Chen
Peiqi Jin
Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis
Frontiers in Neuroscience
NeuroIS
neuroscience
bibliometric study
management information systems
VOSviewer
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 NeuroIS
neuroscience
bibliometric study
management information systems
VOSviewer
url https://www.frontiersin.org/articles/10.3389/fnins.2022.872532/full
work_keys_str_mv AT chienlianglin rolesandresearchtrendsofneuroscienceonmajorinformationsystemsjournalabibliometricandcontentanalysis
AT chienlianglin rolesandresearchtrendsofneuroscienceonmajorinformationsystemsjournalabibliometricandcontentanalysis
AT zezhouchen rolesandresearchtrendsofneuroscienceonmajorinformationsystemsjournalabibliometricandcontentanalysis
AT xinyuejiang rolesandresearchtrendsofneuroscienceonmajorinformationsystemsjournalabibliometricandcontentanalysis
AT guanlinchen rolesandresearchtrendsofneuroscienceonmajorinformationsystemsjournalabibliometricandcontentanalysis
AT peiqijin rolesandresearchtrendsofneuroscienceonmajorinformationsystemsjournalabibliometricandcontentanalysis