Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research

Jia, Kan; Wang, Peng-Hui; Li, Yang; Chen, Zezhou; Jiang, Xinyue; Lin, Chien‐Liang; Chin, Tachia

doi:10.3389/fpsyg.2022.795039

Cited by 19 publications

(16 citation statements)

References 92 publications

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“…All articles in this study were obtained from the citation databases of the Science Citation Index (SCI) and Social Science Citation Index (SSCI) and were obtained from the Web of Science (WOS) created by the Institute of Science Information (ISI). Thus, high-quality literature datasets were provided, which can be used in bibliometric research and scientific research ( Vílchez-Román et al, 2020 ; Su et al, 2021 ; Tang et al, 2021 ; Jia et al, 2022 ). Despite the growing importance of neuroscience in the field of marketing, to date, less research has been conducted on the application of bibliometric methods in the field.…”

Section: Dataset and Research Methodologymentioning

confidence: 99%

“…However, data cleaning cannot be judged by other analysis tools or keywords and must be filtered manually. Therefore, in this study, based on the practices of Wang and Ngai (2020) and Jia et al (2022) , the collected samples were filtered manually. In filtering, two assistant university professors and two researchers of this study jointly read the abstract of the paper and confirmed whether the research topic and content were consistent with this research topic in multiple ways.…”

Section: Dataset and Research Methodologymentioning

confidence: 99%

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Bibliometric-Based Evaluation of the Neuromarketing Research Trend: 2010–2021

Zhu

Jin

et al. 2022

Front. Psychol.

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Neuromarketing has become a new and important topic in the field of marketing in recent years. Consumer behavior research has received increasing attention. In the past decade, the importance of marketing has also been recognized in many fields such as consumer behavior, advertising, information systems, and e-commerce. Neuromarketing uses neurological methods to determine the driving forces behind consumers’ choices. Various neuroscience tools, such as eye movements, have been adopted to help reveal how consumers react to particular advertisements or objects. This information can be used as the basis for new advertising campaigns and brand promotions. To effectively explore the research trends in this field, we must understand the current situation of neuromarketing. A systematic bibliometric analysis can solve this problem by providing publishing trends and information on various topics. In this study, journals that focused on neuromarketing in the field of marketing between 2010 and 2021 were analyzed. These journals were core journals rated by the Association of Business Schools with three or more stars. According to the data analysis results, neuromarketing has 15 main journals with relevant papers. Based on the data collected by the Web of Science (WOS), this study mainly collected 119 references and analyzed the most productive countries, universities, authors, journals, and prolific publications in the field of neuromarketing via Citespace. Through the analysis of knowledge maps, this study explored the mapping of co-citation, bibliographic coupling (BC), and co-occurrence (CC). Moreover, the strongest citation bursts were used to study popular research at different time stages and analyze the research trends of neuromarketing research methods and tools. This study provides an overview of the trends and paths in neuromarketing, which can help researchers understand global trends and future research directions.

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Section: Dataset and Research Methodologymentioning

confidence: 99%

Section: Dataset and Research Methodologymentioning

confidence: 99%

Bibliometric-Based Evaluation of the Neuromarketing Research Trend: 2010–2021

Zhu

Jin

et al. 2022

Front. Psychol.

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“…Consequently, four articles were excluded. Based on the literature screening criteria proposed by Su et al (2020) and Jia et al (2022), three team members independently examined the papers to screen out the articles that were inconsistent with the research topic. These controversial papers would be voted by our team to decide whether to be eliminated.…”

Section: Review Materialsmentioning

confidence: 99%

Knowledge Mapping of Volunteer Motivation: A Bibliometric Analysis and Cross-Cultural Comparative Study

Chen

Tang

2022

Front. Psychol.

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Volunteers play an indispensable role in several major events and activities. The purpose of this study is to review studies on volunteer motivation from 2000 to 2021 and to discover the development trends in this field. The Web of Science Core Collection is the main literature data resource, from which 162 papers on volunteer motivation published in the SSCI were selected. Using two visualization analysis tools, CiteSpace and VOSviewer, this study conducts bibliometric analysis and systematic review from multiple dimensions, identifying the authors, countries, institutions, and journals with high productivity in this field. Additionally, we explored highly cited papers, authors, and journals in this field. This study aims to find the research hotspots and theoretical basis through co-occurrence analysis and cluster analysis of keywords and explore the evolution through the time zone map drawn with CiteSpace. Moreover, we focus on the influence of Chinese and Western cultures (represented by China and the United States) on volunteer motivation. It was found that Chinese volunteers were more affected by collectivism, whereas American volunteers were more affected by individualism. The conclusion of this study constructs a clear framework for research on volunteer motivation, which provides researchers with a deeper and thorough understanding of the connotation of volunteer motivation, providing guidance and support for future research in this field.

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“…Journals of SSCI and SCI included in the Web of Science (WOS) were the main literature data resources. The WOS offers high-quality literature and is frequently used in bibliometric research ( Su et al, 2020 ; Jia et al, 2022 ). The search term rules in this study are as follows: TS = [(“fMRI” or functional magnetic resonance imaging) or (eye-tracking) or (event-related) or (electroencephalography or “EEG”) or (eye fixation related potential or “efrp”) or (neurois) or (Neuroscience) or (neuro information systems) or (neuro information systems)].…”

Section: Data Collectionmentioning

confidence: 99%

“…To reduce errors in the keyword search, irrelevant papers were excluded. The deletion rule is based on Wang and Ngai (2020) and Jia et al (2022) . The method in which Taskin and Al (2019) conducted a standardized process of data cleaning, including the standardization process of author names, was used as a reference in this study.…”

Section: Data Collectionmentioning

confidence: 99%

Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis

Lin

Chen²,

Jiang³

et al. 2022

Front. Neurosci.

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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.

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Research Landscape of Artificial Intelligence and e-Learning: A Bibliometric Research

Cited by 19 publications

References 92 publications

Bibliometric-Based Evaluation of the Neuromarketing Research Trend: 2010–2021

Bibliometric-Based Evaluation of the Neuromarketing Research Trend: 2010–2021

Knowledge Mapping of Volunteer Motivation: A Bibliometric Analysis and Cross-Cultural Comparative Study

Roles and Research Trends of Neuroscience on Major Information Systems Journal: A Bibliometric and Content Analysis

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