2023
DOI: 10.4038/cbj.v14i2.159
|View full text |Cite
|
Sign up to set email alerts
|

Social Entrepreneurship and Sustainable Development: A Bibliometric Analysis

Megha Garg,
Parveen Kumar

Abstract: Social entrepreneurship incorporates characteristics from several disciplines, but lacks a dominant framework and literature though it is a rapidly expanding area. Therefore, our paper aims to carry out bibliographic mapping of relevant publications with the help of Biblioshiny software (R studio) and VoSviewer based on the publications in the Scopus database. The primary outcomes indicated an upsurge in the interest of scholars particularly after 2015. The analysis displays that a significant number of public… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 53 publications
0
1
0
Order By: Relevance
“…These themes are derived from the thematic analysis of author keyword clusters and property values (density and centrality) define these themes explicitly. The vertical axis characterizes density, whereas the horizontal axis represents centrality [56]. The internal keyword connectivity predicts the density reflecting the degree of theme development whereas centrality is defined by the external relationships between the keywords, signifying the relevance of the themes [21].…”
Section: Thematic Mapmentioning
confidence: 99%
“…These themes are derived from the thematic analysis of author keyword clusters and property values (density and centrality) define these themes explicitly. The vertical axis characterizes density, whereas the horizontal axis represents centrality [56]. The internal keyword connectivity predicts the density reflecting the degree of theme development whereas centrality is defined by the external relationships between the keywords, signifying the relevance of the themes [21].…”
Section: Thematic Mapmentioning
confidence: 99%