Template-Type: ReDIF-Article 1.0
Author-Name: Mario Andaru Fatah
Author-Workplace-Name: Economics and Business Faculty, Sebelas Maret University, Surakarta, Indonesia.
Author-Name: Y Anni Aryani
Author-Workplace-Name: Economics and Business Faculty, Sebelas Maret University, Surakarta, Indonesia.
Title: Adopción de big data: ¿tiene un gran impacto en el éxito del crowdfunding en las pymes?
Abstract: Purpose  –  One  of  the  problems  of  MSMEs  is  the  limited  capital  they have to build their business. The presence of the Crowdfunding platform is a solution for MSMEs to find investors to fund their busi-nesses. The problem is, not all investors want to fund these MSMEs and  as a result, many MSMEs do not get funds from crowdfunding. The purpose of this research is to find out whether the adoption of Big Data can affect crowdfunding success. In this case, making in-vestors does it feel more confident about investing?Design/methodology/approach  –  This  study  collects  articles  regarding  the  adoption  of  big  data  in  SMEs  in  the  Emerald  Insight  Database. Furthermore, we also collected articles from the research conducted  by  Deng  et  al.  in  2022  regarding  factors  influencing  crowdfunding success.Findings – We found that the adoption of big data may  represent several factors that influence crowdfunding success. In other words, if MSMEs actors apply big data to their business, it is very likely that they will gain the  investors ´ trust and receive the funds they need.Originality/value – This research provides an overview for MSMEs actors  to    consider  the  adoption  of  big  data  in  their  business.  If  MSMEs actors have implemented it, then apart from having a good effect  on  business  operations,  they  will  also  find  it  easier  to  get  crowdfunding success.
Classification-JEL: G24-L13-D62
Keywords: big data adoption-SMEs big data-crowdfunding success
Journal: Proyecciones
Pages: 50-63
Issue: 17
Number: 6
Year: 2022-2023
Month: May-April
DOI:https://doi.org/10.24215/26185474e027
File-URL: https://revistas.unlp.edu.ar/proyecciones/article/view/14811
File-Format: Application/pdf
Handle: RePEc:lap:proyec:32