Detecting Knowledge structures in Impact Investment for Social EnterpriseDetecting Knowledge structures in Impact Investment for Social Enterprise
- Other Titles
- Detecting Knowledge structures in Impact Investment for Social Enterprise
- Authors
- Duong Thuy Vy Pham; 최재원
- Issue Date
- 2020
- Publisher
- 한국인터넷전자상거래학회
- Keywords
- Social Economy; Social Enterprise; Impact Investment; Research Trends; Text Mining
- Citation
- 인터넷전자상거래연구, v.20, no.2, pp.51 - 63
- Journal Title
- 인터넷전자상거래연구
- Volume
- 20
- Number
- 2
- Start Page
- 51
- End Page
- 63
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/3602
- DOI
- 10.37272/JIECR.2020.04.20.2.51
- ISSN
- 1598-1983
- Abstract
- Investors around the world are making impact investments to unleash the power of capital for good. The growing impact investment market provides capital to address the world’s most pressing challenges in sectors such as climate change, sustainable agriculture, renewable energy, conservation, etc and affordable and accessible basic services including housing, healthcare, and education. Social impact investing is becoming a hot issue in the social enterprises field recently. However, there is a lack of research on the practical measures for social impact investment. Therefore, in this study, we want to confirm the research trend by collecting data related to social impact investment in recent 5 years. In this study, social impact investment related papers from 2015 to 2020, March were collected using smart medical topics, and the social impact investment papers were rearranged based on this. Research trend analysis uses LDA topic modeling technique for topic information of theses, constructs topic network based on relation of topics, and tries to find out the main future research trends through topic.
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