JOURNAL ARTICLE

SOCIAL ENTREPRENEURSHIP ECOSYSTEMS IN THE SCIENTIFIC LITERATURE: PATTERNS AND GROUPS, FACTORS AND ECOLOGICAL PROBLEM-SOLVING.

  • Published In: Journal of Developmental Entrepreneurship, 2023, v. 28, n. 2. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: BOZHIKIN, IVAN 3 of 3

Abstract

Research on social entrepreneurship (SE) has increased significantly over the past ten years, with growing interest in the ecosystems that support initiatives to address social problems with innovative solutions. Such ecosystems can facilitate solutions to society's wicked problems on a much larger scale. However, there is a lack of research on the nature of such ecosystems, the essential players in them and the factors driving their development and sustainability. The current study aims to fulfill this research gap. Based on a systematic literature review, the study analyzes 43 peer-reviewed papers related to SE ecosystems and SE efforts that address environmental problems. It is found that there are at least 24 patterns/ types of SE ecosystems classified into five general groups. Moreover, a diverse set of factors support SE ecosystems and facilitate them to thrive faster and more sustainably. These ecosystems often develop around particular social problems. Using environmental challenges as an example, four groups of significant environmental problems solved by SE ecosystems and SE are identified. The key findings are presented as a comprehensive study framework, which is the basis for a recommended research agenda. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Developmental Entrepreneurship. 2023/06, Vol. 28, Issue 2, p1
  • Document Type:Literature Review
  • Subject Area:Business and Management
  • Publication Date:2023
  • ISSN:1084-9467
  • DOI:10.1142/S1084946723500140
  • Accession Number:164881338
  • Copyright Statement:Copyright of Journal of Developmental Entrepreneurship is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.