Document Details

Document Type : Thesis 
Document Title :
SARRI’: INSPIRING HABITS OF CONTINUOUS GIVING BY LEARNING FROM SUCCESSFUL NON-PROFIT CROWDFUNDING CAMPAIGNS
ساري : عادات ملهمة من العطاء المستمر من خلال التعلم من حملات تمويل الجماعي الناجحة غير الربحية
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : Enabling social responsibility is a key goal of the Saudi 2030 vision and a strong factor for socioeconomic development of the MENA region in general. Our work explores how social responsibility can be enabled through inculcating habits of giving to nonprofit causes, using the KIVA crowdfunding platform, mobile technology and predictive analytics. We propose first that, based on prior research, the frequent involvement of a user in a successful campaign–by donating to it (even a small amount)–is an effective way to form the habit of giving/donation. Second, that in addition, involving the user in an optimal number of such campaigns in the shortest possible time is required for effective habit formation. As such, we investigate the factors that lead to nonprofit campaigns being funded quickly (within 12 days of origination at most), so that we can learn to effectively predict whether a new campaign would be successful within a short time. Campaigns predicted to be successful can be recommended to users through an effective interactive-design strategy within a suitable mobile application (as common to habit formation applications), and habits can thus be effectively formed. Our results show our current approach to be successful in our required context at predicting such campaigns, giving us hope that a full mobile solution that uses our analytics architecture would good strategy for habit formation. 
Supervisor : Dr. Sachi Arafat 
Thesis Type : Master Thesis 
Publishing Year : 1441 AH
2019 AD
 
Added Date : Sunday, October 13, 2019 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
فضيل اغوستا دارويسDarwis, Fadhil AgustaResearcherMaster 

Files

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 45095.pdf pdf 

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