Results found: 2

Search results

Search:
in the keywords: co-word analysis

Sort By:

Limit search:

Meta-analysis of the research impact of Baddeley’s multicomponent working memory model and Cowan’s embedded-processes model of working memory: A bibliometric mapping approach

100%

Gruszka A., Orzechowski J.

Polish Psychological Bulletin

2016

vol. 47

issue 1

1-11

In this study bibliometric mapping method was employed to visualise the current research trends and the impact of the two most influential models of working memory, namely: A. D. Baddeley and G. J. Hitch’s (1974) multicomponent working memory model and N. Cowan’s (1988) embedded-processes model of working memory. Using VOSviewer software two maps were generated based on the index-term words extracted from the research papers citing Baddeley (2000) and Cowan (2001), respectively. The maps represent networks of co-occurrences of index terms and can be interpreted as an indication of the main research fields related to the examined models of WM. The results of the analysis revealed that the spheres of influence of the two main conceptualisations of WM are rather different than similar. Although the first two clusters, i.e. “brain mapping” and “higher-level cognition and development” are present in both maps, their relative importance varies. The remaining clusters are unique to each map. Baddeley’s theory seems to have a greater influence on “neuropsychology”, while Cowan’s theory - on basic research on “biological systems”, including the nervous system in humans and animals. The second difference between these theories concerns their relations to functions and dysfunctions associated with particular sensory modalities: in Baddelay’s theory with the “auditory modality” cluster, and in Cowan’s - with the “visual modality” one.

Intellectual and cognitive structures of the agricultural competitiveness research under climate change and structural transformation

86%

García-Agüero A.-I., Teran-Yepez E., Batlles-delaFuente A., Belmonte-Ureña L. J., Camacho-Ferre F.

Oeconomia Copernicana

2023

vol. 14

issue 4

1175-1209

Research background: Although agricultural competitiveness is not a new topic, it is worth noting that it has recently come back to the attention of researchers due to various factors such as climate change, food security, price uncertainty, or structural transformation. Consequently, a growing number of articles have emerged on this subject, leading to shifts in overarching research trends and the structure of research within this domain. Purpose of the article: This study aims to facilitate a comprehensive understanding of the research constituents within the field of agricultural competitiveness. Additionally, it seeks to unveil the intellectual and cognitive frameworks spanning the years 1990 to 2022. This exploration will enable the identification of thematic clusters that both shape and guide the field, shedding light on current research trends. Methods: This research employs bibliometric analysis, specifically employing performance analysis and science mapping techniques like bibliographic coupling and co-word analyses. These tools are harnessed to scrutinize the constituents of research and the underlying intellectual and cognitive structures inherent to the agricultural competitiveness field. A dataset of 622 articles from the Web of Science database was subjected to analysis using the VOSviewer software. Findings & value added: The findings prominently illustrate a notable surge in research activity within this domain, with a substantial proportion of articles originating from the United States. The study further identifies six distinct research topics within agricultural competitiveness: (1) energy efficiency and bioenergy, (2) price fluctuation, uncertainty, and market behavior, (3) structural transformation of agriculture, (4) rural development, (5) policy issues, and (6) climate change. Moreover, the research offers insights into potential future research avenues. The uniqueness and value of this work stem from its pioneering approach, being the first to synthesize agricultural competitiveness research through an amalgamation of bibliometric techniques. Furthermore, the study contributes substantially to the theoretical advancement of agricultural competitiveness research.

Refine search results

1 Oeconomia Copernicana

1 Polish Psychological Bulletin

1 Batlles-delaFuente A.

1 Belmonte-Ureña L. J.

1 Camacho-Ferre F.

1 García-Agüero A.-I.

1 Gruszka A.

1 Orzechowski J.

1 Teran-Yepez E.

1 2023

1 2016

Search results

Meta-analysis of the research impact of Baddeley’s multicomponent working memory model and Cowan’s embedded-processes model of working memory: A bibliometric mapping approach

Intellectual and cognitive structures of the agricultural competitiveness research under climate change and structural transformation