科学计量学
创业
知识管理
定性比较分析
宏
集合(抽象数据类型)
文献计量学
社会学
过程(计算)
区域科学
数据科学
社会科学
政治学
图书馆学
计算机科学
法学
程序设计语言
操作系统
机器学习
作者
Anton Klarin,Yuliani Suseno
标识
DOI:10.1177/00076503221101611
摘要
This article maps existing research from 5,874 scholarly publications on social entrepreneurship (SE) utilizing scientometrics. The mapping indicates a taxonomy of five clusters: (a) the nature of SE, (b) policy implications and employment in relation to SE, (c) SE in communities and health, (d) SE personality traits, and (e) SE education. We complement the scientometric analysis with a systematic literature review of publications on SE in the Financial Times 50 list (FT50) and Business & Society and propose a multistage, multilevel framework that highlights the clusters of existing research on SE based on their stage and level of analysis. This review study also helps outline a set of future research directions, including studies examining (a) the process stage at the micro-level and macro-level, (b) linkages across levels and stages, (c) linkages across stages over time or longitudinal studies, (d) SE in resource-constrained environments, (e) technological advancement and its impact on SE, (f) the types of social enterprises and their outcomes, and (g) various emerging topics in SE.
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