Identifying the dissension in management and business research in Latin America and the Caribbean via co-word analysis

Julián D. Cortés ()
Additional contact information
Julián D. Cortés: Universidad del Rosario

Scientometrics, 2022, vol. 127, issue 12, No 16, 7125 pages

Abstract: Abstract Management and business-related research (MBR) exhibits a disciplinary dissension path and a lack of cumulative knowledge development. This study aims to find and discuss evidence of MBR dissension and to identify intellectual/methodological bridges as potential pillars for cumulative knowledge development in Latin America and the Caribbean (LAC). A co-word network analysis of 22,000 + keywords sourced from 4600 + articles published between 1998 and 2017 by authors affiliated with LAC institutions showed a network’s decreasing density and modularity in addition to a noticeable increase in the number of communities detected. The prominence and consistency of sustainability-related topics in LAC among the networks’ principal components and key-terms with higher betweenness could be explained by global solution-oriented agreements such as the MDGs/SDGs. In contrast, MBR topics are not yet core issues on the SDG agenda. Methods from the sciences/disciplines heading toward consensus (e.g. mathematical models, computer simulation) showed a higher and consistent betweenness than MBR methods and mainstream topics, such as the case study or marketing or leadership.

Keywords: Business Management and Accounting; Developing countries; Co-word analysis; Network Analysis (search for similar items in EconPapers)
JEL-codes: M10 M40 O30 Z1 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11192-021-04259-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:127:y:2022:i:12:d:10.1007_s11192-021-04259-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-021-04259-5

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().