Business Management Dynamics

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ISSN: 2047-7031

bmd Business and Management Dynamics bmd
ISSN: 2047-7031  
Volume  11   Issue 01  2021  
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Article Abstract
Toward Prosocial Microfinance and Crowdlending Campaigns Using Inclusive Natural Language Processing
Keywords:  Work Orientation, Gender, Case Study, Qualitative Inquiry
Matthew D. Chung , Arun Aryal & Andre S. Avramchuk
Prosocial microfinance institutions have struggled to scale up their efforts toward alleviating poverty while continuing to reach the suitable borrowers without overburdening them with debt. Peer-to-peer crowdfunding organizations try to address this challenge by connecting socially conscious lenders with small-scale entrepreneurs through storytelling. Prior studies described such storytelling as a powerful source of knowledge managed to determine whether a microloan proposal is attractive to potential lenders and ultimately funded. Researchers also devised important categories into which they screen the language within the borrowers' narratives to indicate the prevalence of certain keywords in the stories. To further examine the impact of the borrowers' stories on the likelihood of speedy and successful funding, this paper reviews relevant research and practice and suggests applying natural language processing in a bottom-up approach, where the entirety of narratives is considered for holistically managing information within the narratives and producing the storytelling themes organically, without preconceived categories. This might help aspiring small-scale entrepreneurs and their potential microlenders find the right fit quicker, reducing the opportunity cost and making crowdfunding campaigns more successful.
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