Browsing by Author "Liou, Jyh-Hwa"

Now showing 1 - 4 of 4

A social fundraising mechanism for charity crowdfunding
(2020-02-01)
Li, Yung-Ming
;
Wu, Jhih-Dong
;
Hsieh, Chin-Yu
;
Liou, Jyh-Hwa
;
資訊管理與財務金融系註：原資管所+財金所
In recent years, as the world has witnessed many social issues and environmental disasters, philanthropic giving has become widespread. Today, crowdfunding platforms have also become popular, and charities often use these to fundraise. However, they rarely utilize the power of social networking to assist a fundraiser in discovering potential donors, and this is especially true for small organizations and individuals. In this research, we propose a recommendation mechanism for social fundraising that analyzes the donor's preferences, the relationship between the donor and fundraiser, and the characteristics of the fundraising dynamics to promote the spread of philanthropic fundraising. The proposed mechanism can effectively discover appropriate donors and relevant campaigns to expedite the fundraising process and improve its success rate.
A Social Recommendation Mechanism for Crowdfunding
(2017-01-01)
Li, Yung-Ming
;
Liou, Jyh-Hwa
;
Li, Yi-Wen
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
In recent years, a new kind of fund-raising mode crowdfunding, is gradually arising. Through the rapid spread of the Internet, customers can show their creativity and ideas on the fundraising platform and attract backers to invest extensively in support of the count painting or product development. However, according to fund-raising platform statistics, we found that the success rate of fund-raising plans is less than half. Therefore, the purpose of this study is to propose a backers recommendation mechanism, which integrates information from fundraising and social networking platforms, considering the factors of social relationship, user preferences and background analysis, to help creators improve the success rate of crowdfunding.
Creating social intelligence for product portfolio design
(2014-10-01)
Li, Yung-Ming
;
Chen, Hsuan-Ming
;
Liou, Jyh-Hwa
;
Lin, Lien-Fa
;
資訊管理與財務金融系註：原資管所+財金所
Increasing numbers of people are using social media to express their personal experiences. Recently, these plentiful user-generated data sources have been utilized promisingly by enterprises for product creation. In this research, we propose a social intelligence mechanism that can extract and consolidate the reviews expressed via social media and derive insights (product feature specification and feature importance) to help enterprises make decisions on developing next-generation products by analyzing the reviewers\' knowledge and authority and their opinion sentiment toward the target products. The experimental results obtained using Epinions.com show that the proposed mechanism outperforms other benchmark approaches in market trend prediction and customer acceptance. (C) 2014 Elsevier B.V. All rights reserved.
Diffusing mobile coupons with social endorsing mechanism
(2019-02-01)
Li, Yung-Ming
;
Liou, Jyh-Hwa
;
Ni, Ching-Yuan
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
With the popularity of social media and mobile device, vendors have more distribution channels for digital coupons than ever before. However, coupon redemption rates are unacceptable to venders. The important factor driving coupon receivers to redeem mobile coupons is an understanding of them. The purpose of this study is to propose a new social coupon endorsing mechanism, which aims to identify those endorsers who have coupon proneness and a high sharing willingness for coupon diffusion, with a recommended list of coupon receivers. Our experimental results show that our proposed mechanism effectively propagates mobile coupon or discount information by helping consumers to more efficiently gather coupons which fit their preferences and location, and to save money. It also helps vendors propagate mobile coupons to the target consumers in an efficient way.