• Title/Summary/Keyword: Online Fundraising

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Impact of Target Amounts on Donation Behavior: Insights from GoFundMe Data

  • Sohyeon Park
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.3
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    • pp.305-312
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    • 2024
  • This field study explores how varying target amounts influence donation behavior using real-world data from the online fundraising platform GoFundMe. We analyzed donation data across four different target amounts and found significant differences in donation patterns. Lower target amounts were found to encourage higher individual donations, while excessively high targets were less effective. The data revealed that donors tend to be more responsive to campaigns with achievable goals, possibly due to a perceived higher impact of their contributions. Conversely, campaigns with unrealistically high targets often struggled to gain traction, suggesting a potential donor deterrent effect. We believe these findings provide practical insights for nonprofits on setting realistic and achievable target amounts to maximize donations. Our study underscores the importance of strategic target setting in enhancing fundraising outcomes. We conclude that this insight has significant implications for how non-profit organizations approach their fundraising strategies, potentially improving the effectiveness of online charitable campaigns.

Financial Sustainability of Nonprofit Organizations: Determinants of Fundraising Campaigns on Donation Intention

  • PARK, Hayoung;CHO, Yooncheong
    • The Journal of Industrial Distribution & Business
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    • v.11 no.3
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    • pp.19-28
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    • 2020
  • Purpose: As nonprofit organizations have made strides in international development, ensuring financial resources has become pivotal to determine what nonprofits strive for and how they perform with the budget generated without efforts for profit-making. The purpose of this research aims to investigate the determinants of donation intention that are affected by television fundraising campaigns in order to improve financial sustainability. This study applied the effects of emotional sympathy, economic value, accountability, relevance, and sustainability on donation intention. Research design, data, and methodology: This study collected data via an online survey by classifying respondents based on donation experiences and applied statistical analyses such as factor analysis, regression, and ANOVA. This study selected television fundraising campaigns aligned with criteria of the Sustainable Development Goals (SDGs). Results: The results of this study showed that emotional sympathy was a dominant variable regardless of previous donation experiences, while economic value was significant for inexperienced donors. Conclusions: The results provide implications to nonprofit organizations for fundraising as to what aspects need to be addressed in order to draw donors' motivation for giving behavior. Given efforts for successful implementation of development agenda, it is fundamental to establish financial sustainability of nonprofit organizations and build up public awareness.

A Dynamic Analysis on Value Chain Model of E-Commerce - The Case of Online Book Market - (전자상거래의 가치사슬모형에 관한 동태적 분석 - 온라인 서점시장을 중심으로 -)

  • Lee Young-Chan;Seo Chang-Gab
    • Proceedings of the Korea Association of Information Systems Conference
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    • 2004.05a
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    • pp.316-335
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    • 2004
  • This paper builds a system dynamics model analyzing first mover effect and growth strategy of online retailer, a major segment of B2C e-commerce. The dynamic model in this paper is calibrated to the online book market and Yes24.com as major test cases. The model consists of eight key value chain sectors. Five of these(Users, Site Operations, Human Resources, Financial Accounting, and Fundraising) are internal to the company, and three others(Market, Financial Market, and Relative Performance) are external to the company. With the model, this paper suggests research propositions representing positive feedback loops and negative feedback loops that lead to corporate growth and limits to growth according to dynamic causal relationships among eight key value chain sectors, and simulate these propositions.

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A Classification of Online Fundraising (온라인 모금의 유형 분석 -국내 온라인 모금사이트를 중심으로-)

  • Lee, Sang-Hyuk;Kim, In-Gyu;Park, Cheol
    • 한국IT서비스학회:학술대회논문집
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    • 2009.11a
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    • pp.279-284
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    • 2009
  • 본 연구는 최근 사회적 이슈가 되고 있는 기부활동이 온라인상에서 어떻게 진행되고 있는지 알아보기 위해 국내 온라인 모금 사이트를 조사 분석하였다. 이 연구에서는 온라인을 이용한 다양한 방법의 모금활동들을 분류하고 정의함 으로, 온라인 모금의 유형 분류와 각 유형의 장단점을 파악하였다. 그 결과 온라인 모금의 유형을 기존홈페이지를 활용한 회원 모집 채널을 확장한 '모금기관홈페이지', 온라인 모금을 위한 전용 컨텐츠를 제작한 '모금전용사이트', 개인 홈페이지, 블로그 등에 달 수 있는 아이콘 배너 소스를 제공하여 이를 통한 홍보 및 회원을 개발하는 '아이콘 배너 공유', 기부 인프라를 갖춘 기부 포탈과의 제휴, 쇼핑몰, 은행, 카드사 등의 마일리지 제휴, 핸드폰을 이용한 모바일 제휴 등으로 분류하였다. 그 밖의 후원 상품으로 등록된 제품 판매 시 일정 수익을 연계기관으로 후원하는 '후원쇼핑', 기업과 모금기관이 공동으로 실행하는 '공동 캠페인', 메일을 통한 모금 요청하는 '메일링'등의 온라인 모금 유형들이 있었다. 이를 통해 기존의 비영리 기관들과 향후 온라인 모금을 진행 할 비영리 기관들에게 온라인 모금 활동에 시사점을 제시하였고, 향후 진행 발전될 온라인모금 활동의 가능성과 보완 사항 등 시사점을 제시하였다.

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Online Document Mining Approach to Predicting Crowdfunding Success (온라인 문서 마이닝 접근법을 활용한 크라우드펀딩의 성공여부 예측 방법)

  • Nam, Suhyeon;Jin, Yoonsun;Kwon, Ohbyung
    • Journal of Intelligence and Information Systems
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    • v.24 no.3
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    • pp.45-66
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    • 2018
  • Crowdfunding has become more popular than angel funding for fundraising by venture companies. Identification of success factors may be useful for fundraisers and investors to make decisions related to crowdfunding projects and predict a priori whether they will be successful or not. Recent studies have suggested several numeric factors, such as project goals and the number of associated SNS, studying how these affect the success of crowdfunding campaigns. However, prediction of the success of crowdfunding campaigns via non-numeric and unstructured data is not yet possible, especially through analysis of structural characteristics of documents introducing projects in need of funding. Analysis of these documents is promising because they are open and inexpensive to obtain. We propose a novel method to predict the success of a crowdfunding project based on the introductory text. To test the performance of the proposed method, in our study, texts related to 1,980 actual crowdfunding projects were collected and empirically analyzed. From the text data set, the following details about the projects were collected: category, number of replies, funding goal, fundraising method, reward, number of SNS followers, number of images and videos, and miscellaneous numeric data. These factors were identified as significant input features to be used in classification algorithms. The results suggest that the proposed method outperforms other recently proposed, non-text-based methods in terms of accuracy, F-score, and elapsed time.