30th Anniversary of Applied Intelligence: A combination of bibliometrics and thematic analysis using SciMAT

López-Robles, José Ricardo; Cobo, Manuel J.; Gutiérrez-Salcedo, María; Martínez-Sánchez, M. A.; Gamboa-Rosales, Nadia-Karina; Herrera‐Viedma, Enrique

doi:10.1007/s10489-021-02584-z

Cited by 49 publications

(45 citation statements)

References 28 publications

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“…(4) Burst detection analysis reflects the merging trends of keywords, authors, and references by detecting the citation frequency in each time interval (Zhou et al 2019 ). (5) Thematic evolution analysis illustrates the development of the field, the shift in research directions, and trends in the field by analyzing the evolutionary paths of themes based on the measurements of centrality and density (López-Robles et al 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Sustainable business model innovation literature: a bibliometrics analysis

2022

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Sustainable business model innovation (SBMI) has received growing attention since it can provide sustainable competitive advantages for corporations under a dynamic external environment. This paper aims to understand the current situations and progress of SBMI research by conducting a bibliometric study of the existing literature. By collecting data from Web of Science and using bibliometric tools, the basic characteristics of SBMI research are first presented to show the productivity and citations of publications utilizing recognized bibliometric indicators. Then, the cooperation networks among countries/regions, institutions, and authors are drawn to determine their collaborative relationships. Furthermore, keyword analysis is presented to explore the evolution of the hotspots and themes of SBMI research through co-occurrence analysis, burst detection analysis, and thematic evolution analysis. Finally, we integrate the antecedents-decisions-outcomes framework for SBMI research. The findings in this study indicate that the development of SBMI research is positive and that greater collaboration among institutions and authors is required to explore the internal drivers and design SBMI as well as other topics to be developed.

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Section: Methodsmentioning

confidence: 99%

Sustainable business model innovation literature: a bibliometrics analysis

2022

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“…BibExcel, developed by Olle Person, is specialized document measurement software aimed at assisting a user in analyzing bibliographic data or any data of a textual nature formatted in a similar manner [90]. The generated data files can be imported to Excel or any program that takes tabbed data records, for further processing [91,92]. CiteSpace is a free available Java-based software package, jointly developed by the team of Dr. Chen Chaomei at Drexel University and specially used for mapping scientific knowledge, by which duplicate removal of data can be conducted [93,94].…”

Section: Data Analysis Methodsmentioning

confidence: 99%

Research Progress of Urban Floods under Climate Change and Urbanization: A Scientometric Analysis

et al. 2021

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Urban floods research has been attracting extensive attention with the increasing threat of flood risk and environmental hazards due to global climate change and urbanization. However, there is rarely a comprehensive review of this field and it remains unclear how the research topics on urban floods have evolved. In this study, we analyzed the development of urban floods research and explored the hotspots and frontiers of this field by scientific knowledge mapping. In total, 3314 published articles from 2006 to 2021 were analyzed. The results suggest that the number of published articles in the field of urban floods generally has an upward trend year by year, and the research focus has shifted from exploring hydrological processes to adopting advanced management measures to solve urban flood problems. Moreover, urban stormwater management and low impact development in the context of climate change and urbanization have gradually become research hotspots. Future research directions based on the status and trends of the urban floods field were also discussed. This research can not only inspire other researchers and policymakers, but also demonstrates the effectiveness of scientific knowledge mapping analysis by the use of the software CiteSpace and VOSviewer.

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“…Lochmiller (2021) performed thematic analysis using structured qualitative data collected from focus groups. Lopez-Robles et al (2021) by combining two methods of bibliometrics and thematic analysis using SciMAT performed the thematic analysis in AI. They identified the main thematic areas in this area.…”

Section: Literature Reviewmentioning

confidence: 99%

Infoecology of the deep learning and smart manufacturing: thematic and concept interactions

Asemi

Kő

Asemi

2021

LHT

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PurposeThis infecological study mainly aimed to know the thematic and conceptual relationship in published papers in deep learning (DL) and smart manufacturing (SM).Design/methodology/approachThe research methodology has specific research objectives based on the type and method of research, data analysis tools. In general, description methods are applied by Web of Science (WoS) analysis tools and Voyant tools as a web-based reading and analysis environment for digital texts. The Yewno tool is applied to draw a knowledge map to show the concept's interaction between DL and SM.FindingsThe knowledge map of DL and SM concepts shows that there are currently few concepts interacting with each other, while the rapid growth of technology and the needs of today's society have revealed the need to use more and more DL in SM. The results of this study can provide a coherent and well-mapped road map to the main policymakers of the field of research in DL and SM, through the study of coexistence and interactions of the thematic categories with other thematic areas. In this way, they can design more effective guidelines and strategies to solve the problems of researchers in conducting their studies and direct. The analysis results demonstrated that the information ecosystem of DL and SM studies dynamically developed over time. The continuous conduction flow of scientific studies in this field brought continuous changes into the infoecology of subjects and concepts in this area.Originality/valueThe paper investigated the thematic interaction of the scientific productions in DL and SM and discussed possible implications. We used of the variety tools and techniques to draw our own perspective. Also, we drew arguments from other research work to back up our findings.

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30th Anniversary of Applied Intelligence: A combination of bibliometrics and thematic analysis using SciMAT

Cited by 49 publications

References 28 publications

Sustainable business model innovation literature: a bibliometrics analysis

Sustainable business model innovation literature: a bibliometrics analysis

Research Progress of Urban Floods under Climate Change and Urbanization: A Scientometric Analysis

Infoecology of the deep learning and smart manufacturing: thematic and concept interactions

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