Browsing by Author "Li, Yung-Ming"

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A Criterion of Heat Transfer Deterioration for Supercritical Organic Fluids Flowing Upward and Its Heat Transfer Correlation
(2020-02-01)
Li, Yung-Ming
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Liaw, Jane-Sunn
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Wang, Chi-Chuan
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機械工程學系
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Department of Mechanical Engineering
The main objective of this study was to develop the supercritical heat transfer correlation applicable for organic fluids when flowing upward in smooth tubes based on the available experimental data. The organic fluids contain R-22, R-134a, R-245fa and Ethanol and the associated heat transfer characteristics were compared with non-organic fluids like water and carbon-dioxide (CO2). It was found that the limit heat flux may result in heat transfer deterioration (HTD) of organic fluid and the corresponding values are much smaller than water or CO2. A new criterion to predict the HTD was developed and this criterion yields the best predictive ability against database. It was found that HTD occurs can be well described by the acceleration parameter evaluated at the wall condition rather than at bulk condition. For estimation of the supercritical heat transfer coefficient (HTC) for organic fluid, the present study proposes a new correlation with a physically based correction factor, which gives satisfactory predictions against the HTC of supercritical organic fluid. The new correlation can offer the smallest average deviation of 0.007 and standard deviation of 0.181 among the existing correlations.
A Diffusing Path Planning Mechanism for Marketing Information Propagation over Social Media
(2013-01-01)
Li, Yung-Ming
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Lai, Cheng-Yang
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
Social media are gaining importance as a component of marketing strategies. Many of them, such as social networking site, blogosphere, and microblogosphere, have been seeking business opportunities and establishing brand expression in recent years. Online marketing information diffusion becomes the critical business model for online social networks. Marketers attempt to diffuse advertisements for reaching potential customers through the Internet. However, current marketing research discovered possible influencers but not appropriate support them to diffuse advertisements. In this research, a diffusing path planning mechanism for advertisement was developed for supporting influencers to propagate marketing information and supporting marketers to evaluate possible reward under different marketing strategies.
A diffusion mechanism for social advertising over microblogs
(2012-12-01)
Li, Yung-Ming
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Shiu, Ya-Lin
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
Social media have increasingly become popular platforms for information dissemination. Recently, companies have attempted to take advantage of social advertising to deliver their advertisements to appropriate customers. The success of message propagation in social media depends greatly on the content relevance and the closeness of social relationships. In this paper, considering the factors of user preference, network influence, and propagation capability, we propose a diffusion mechanism to deliver advertising information over microblogging media. Our experimental results show that the proposed model could provide advertisers with suitable targets for diffusing advertisements continuously and thus efficiently enhance advertising effectiveness. (C) 2012 Elsevier B.V. All rights reserved.
A diffusion planning mechanism for social marketing
(2017-07-01)
Li, Yung-Ming
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Lai, Cheng-Yang
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Lin, Lien-Fa
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資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
Social media is gaining importance as a component of marketing strategies. Many types of social media, such as social networking sites, blogospheres and micro-blogospheres, have been seeking business opportunities and establishing brand expression in the recent years. Online marketing information diffusion has become the critical business model of online social networks. However, most of the current marketing studies on discovering potential influences do not appropriately support them to diffuse advertisements. Therefore, marketing information may be lost during the diffusion process and cannot be sent to potential customers successfully. In this research, a diffusion path planning mechanism for advertisements is developed to help influencers to propagate marketing information and help marketers to evaluate possible rewards under different marketing strategies. Our experimental results show that the proposed mechanism can significantly improve the diffusion process of advertising messages and decrease marketing uncertainty. (C) 2016 Elsevier B.V. All rights reserved.
A recommender mechanism for social knowledge navigation in an online encyclopedia
(2014-09-01)
Li, Yung-Ming
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Lin, Lien-Fa
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Lin, Yu-Hui
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
In today\'s world, knowledge is important for constructing core competitive advantages for individuals and organizations. Recently, Web 2.0 applications and social media have provided a convenient medium for people to share knowledge over the Internet. However, the huge amount of created knowledge can also leads to the problem of information overload. This research proposes a social knowledge navigation mechanism that utilizes the techniques of relevant knowledge network construction, knowledge importance analysis, and knowledge concept ontology construction to generate a visualized recommendation of a knowledge map of sub-concept and knowledge of an article reading sequence for supporting learning activities related to a free online encyclopedia. The results of experiments conducted on Wikipedia show that the proposed mechanism can effectively recommend useful articles and improve a knowledge seeker\'s learning effectiveness. (C) 2014 Elsevier Ltd. All rights reserved.
A social appraisal mechanism for online purchase decision support in the micro-blogosphere
(2014-03-01)
Li, Yung-Ming
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Lai, Cheng-Yang
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
Owing to the plentiful participation of knowledgeable users, an online social network could be seen as a large group of experts that support the decisions of online users. Collective opinions solicited from friends are largely beneficial for online purchase support and can create significant opportunities for sales. In this paper, a social appraisal mechanism composed using the methodologies of social companionship analysis, collective opinion analysis, and consensus decision analysis is proposed for the online users of the micro-blogosphere. The proposed mechanism can successfully summarize collective opinions and expedite the decision-making process that characterizes users' purchasing behaviors. (C) 2013 Elsevier B.V. All rights reserved.
A social endorsing mechanism for target advertisement diffusion
(2015-12-01)
Lin, Lien-Fa
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Li, Yung-Ming
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Wu, Wen-Hsiang
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
Social media plays an increasingly important role in people\'s daily lives and attracts companies to conduct marketing activities. Determining how to effectively utilize this new media to distribute promotional advertisements to suitable customers is thus an important issue. In this research, an endorser-based social diffusing mechanism, which considers the factors of users\' preferences, influence, and diffusion power, is proposed to enhance the effectiveness of target advertising by discovering the most appropriate endorsers that can propagate the ads to the identified target users. Our experimental results show the proposed model can appropriately enhance satisfaction and target delivery rate. (C) 2015 Elsevier B.V. All rights reserved.
A social fundraising mechanism for charity crowdfunding
(2020-02-01)
Li, Yung-Ming
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Wu, Jhih-Dong
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Hsieh, Chin-Yu
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Liou, Jyh-Hwa
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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
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Liou, Jyh-Hwa
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Li, Yi-Wen
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資訊管理與財務金融系註：原資管所+財金所
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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.
A social recommendation mechanism for enhancing 020 e-commerce
(2017-01-01)
Lin, Lien-Fa
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Li, Yung-Ming
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
O2O business model synergize the efficiency improved from online retailing and value created from physical customer experience. Nowadays, while many O2O apps and services have been proposed, the study of the accuracy of customer targeting and the effectiveness of advertising in a dynamic environment are big challenges currently faced by O2O e-commerce. In this paper, we proposed a novel social recommendation mechanism for enhancing O2O e-commerce, by incorporating the techniques of context-awareness and social referral. The proposed mechanism could identify the most suitable ads for targeted users in a changing environment, and could significantly improve the effectiveness of advertising by taking the influence of friends into consideration.
A social recommender mechanism for e-commerce: Combining similarity, trust, and relationship
(2013-06-01)
Li, Yung-Ming
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Wu, Chun-Te
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Lai, Cheng-Yang
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
Online business transactions and the success of e-commerce depend greatly on the effective design of a product recommender mechanism. This study proposes a social recommender system that can generate personalized product recommendations based on preference similarity, recommendation trust, and social relations. Compared with traditional collaborative filtering approaches, the advantage of the proposed mechanism is its comprehensive consideration of recommendation sources. Accordingly, our experimental results show that the proposed model outperforms other benchmark methodologies in terms of recommendation accuracy. The proposed framework can also be effectively applied to e-commerce retailers to promote their products and services. (C) 2013 Elsevier B.V. All rights reserved.
A social recommender mechanism for location-based group commerce
(2014-08-01)
Li, Yung-Ming
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Chou, Chia-Ling
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Lin, Lien-Fa
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
With the rapid growth of social media platforms, numerous group commerce websites, which exploit both the advantages of price discounts and experience value, have emerged. Moreover, the popularity of sophisticated mobile devices brings great commercial opportunities for local store to gain publicity. In this research, considering user preference, geographic convenience, and friends\' influence, a group-coupon recommender system is proposed for promoting location-sensitive products. The results of experiments conducted on Facebook indicate that the proposed mechanism could accurately recommend products and satisfactorily provide a companion list of to customers, significantly increasing willingness to purchase by taking advantage of the power of social influence. (C) 2014 Elsevier Inc. All rights reserved.
A social referral appraising mechanism for the e-marketplace
(2017-04-01)
Lai, Cheng-Yang
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Li, Yung-Ming
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Lin, Lien-Fa
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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, in order to achieve word-of-mouth marketing, many marketers and individual sellers are actively engaged in achieving positive ratings in the e-marketplace. Although many seller review mechanisms have been developed, e-commerce market operators and consumers still face trust fraud issues. Trust is one of the major issues that confuse online purchase activities. In this paper, we develop a social referral mechanism to verify sellers based on the experiences of friends within a buyer's social network. The proposed framework estimates the trust values of sellers from the perspective of the social network in order to stop buyers from making transactions with fraudulent sellers in the online marketplace. (C) 2016 Elsevier B.V. All rights reserved.
A Social Referral Mechanism on e-Marketplace
(2013-01-01)
Lai, Cheng-Yang
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Li, Yung-Ming
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
With the popularity of social media, in order to achieve the word-of-mouth marketing, many marketers and individual sellers are actively engaged in getting positive ratings on e-marketplace. Although there are many seller review mechanisms developed, the electronic commerce market operators and the consumers are still facing the trust fraud challenge. Trust is one of major issues that baffle online purchase activities. In this paper, we develop a seller referral mechanism to verify sellers based on the experience of friends within a buyer\'s social network. The proposed framework estimates trust values of sellers from the perspective of social network for helping buyers prevent making transactions with the fraudulent sellers in the online marketplace.
A social route recommender mechanism for store shopping support
(2017-02)
Li, Yung-Ming
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Lin, Lien-Fa
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Ho, Chun-Chih
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
To survive in a fiercely competitive business environment, it has become increasingly important for physical retailers to provide customers with services offering a better shopping experience. Many renovate and enlarge their shopping spaces to make their stores more enjoyable places to visit. The growth in social media and the use of mobile devices provide retailers with an opportunity to offer a context-aware guidance service to enhance customers\' in-store shopping experience. In this research, by extracting and analysing shopping information (shopping context, visiting trajectory) and social information (user\'s interest, friends\' influence), a contextual store shopping recommendation system is proposed to provide an appropriate route for first-time customers or those who are unfamiliar with a retailer\'s shopping space. Our experimental results show that the proposed model is effective in providing an appropriate shopping route and enhancing users\' shopping experience, which could significantly improve the profitability and competitive advantage of the retailers. (C) 2016 Elsevier B.V. All rights reserved.
A synthetical approach for blog recommendation: Combining trust, social relation, and semantic analysis
(2009-04-01)
Li, Yung-Ming
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Chen, Ching-Wen
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
Weblog is a good paradigm of online social network which constitutes web-based regularly updated journals with reverse chronological sequences of dated entries, usually with blogrolls on the sidebars, allowing bloggers link to favorite site which they are frequently visited. In this study we propose a blog recommendation mechanism that combines trust model, social relation and semantic analysis and illustrates how it can be applied to a prestigious online blogging system - wretch in Taiwan. By the results of experimental study, we found a number of implications from the Weblog network and several important theories in domain of social networking were empirically justified. The experimental evaluation reveals that the proposed recommendation mechanism is quite feasible and promising. (C) 2008 Elsevier Ltd. All rights reserved.
Analysis of emerging technology adoption for the digital content market
(2012-09-01)
Jin, Bih-Huang
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Li, Yung-Ming
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
The digital content market is undergoing an evolution in networking and digitalization technologies, offering diverse information and services. Due to the characteristics of these emerging technologies, the digital content market is growing rapidly and traditional content providers face service transformation decisions. While a majority of the previous technology adoption studies have focused on the viewpoints of users and customers, cost reduction, or electronic channel related technologies, in this research we analyze the emerging technology adoption decisions of competing firms for providing new content services from a strategic perspective. Utilizing game theoretical models, we examine the effects of market environments (technology cost, channel cannibalization, brand power, brand extension, information asymmetry and market uncertainty) on firms' adoption decisions. This research contributes a number of unique and interesting implications for the issues of emerging technology adoption for new content service provision.
Analysis of pricing strategies for community-based group buying: The impact of competition and waiting cost
(2012-07-01)
Li, Yung-Ming
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Jhang-Li, Jhih-Hua
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Hwang, Ting-Kai
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Chen, Ping-Wen
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資訊管理與財務金融系註：原資管所+財金所
Group buying is one of the major pricing mechanisms in which retailers can offer low group rates due to a saving on transaction costs and its target consumers are those with lower sensitivity on waiting time. Under group buying, group size significantly affects the waiting cost to which consumers have different tolerances. In this paper, we develop a two-stage pricing game to evaluate the impact of the waiting cost, competition, and group-facilitating technology on the profitability and efficiency of community-based group buying. Our results point out that when a monopolistic retailer operates a mixed channel, the retailer will charge a relatively high group rates in the group-buying channel to force most consumers to choose individual buying unless the transaction cost in the individual-buying channel is sufficiently high. If two competing retailers adopt different pure channels, investment in group-facilitating technology may weaken the profit of the retailer adopting community-based group buying when the actual selling-cost saving resulted from community-based group buying is not significant.
Analysis of scale effects in preer-to-peer networks
(2008-06-01)
Li, Yung-Ming
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Tan, Yong
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Zhou, Yong-Pin
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
In this paper, we study both positive and negative scale effects on the operations of peer-to-peer (P2P) file sharing networks and propose the optimal sizing (number of peers) and grouping (number of directory intermediary) decisions. Using analytical models and simulation, we evaluate various performance metrics to investigate the characteristics of a P2P network. Our results show that increasing network scale has a positive effect on the expected content availability and transmission cost, but a negative effect on the expected provision and search costs. We propose an explicit expression for the overall utility of a content sharing P2P community that incorporates tradeoffs among all of the performance measures. This utility function is maximized numerically to obtain the optimal network size (or scale). We also investigate the impact of various P2P network parameters on the performance measures as well as optimal scaling decisions. Furthermore, we extend the model to examine the grouping decision in networks with symmetric interconnection structures and compare the performance between random- and location-based grouping policies.
Analyzing Monetization Models for the Digital Content Services: Channel Ownership and Royalty Contracts
(2012-01-01)
Li, Yung-Ming
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Fang, Yuan
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Jin, Bih-Huang
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資訊管理與財務金融系註：原資管所+財金所
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Department of Information Management and Finance
The formats and access models of digital content are increasingly rich and diverse as the advancement of internet and mobile technologies. In this paper, utilizing a game theoretic model, we analyze the adoption and monetization models of heterogeneous content channels (mobile and website content). The pricing and advertising strategies of pay and advertisement-supported content under different channel and content ownership structures are examined. Furthermore, under asymmetric content ownership (only one of two channels own the content), popular monetary transfer contracts are realized to license the opponent channel. The impacts of market parameters (such as quality differentiation and online advertisement factors) on the development of business strategies are presented.