2011 ◽  
Vol 14 (02) ◽  
pp. 111-131 ◽  
Author(s):  
FRANK E. WALTER

Despite the fact that social networks are ubiquitous on the Internet, only few websites exploit the potential of combining user communities and online marketplaces. Not many platforms allow users to engage in a phenomenon called "group buying" — buyers joining groups, or coalitions, to bundle their purchasing power towards sellers. We argue that this may be due to a lack of face-to-face interaction on the Internet; often, users do not know which other users to trust, which makes them suspicious of engaging in online business, in particular if many unknown other parties are involved. This situation, however, can be alleviated by leveraging the social networks of users: based on who a user knows and is connected to, a trust metric — for example, the TrustWebRank metric developed by us — can be computed to assess who else may be considered trustworthy to that user. In this paper, we build a simple agent-based model of coalition formation among agents in the setting of group buying in an electronic marketplace. In this model, agents use their trust relationships in order to determine who to form coalitions with. We show that this leads agents to experience high utility and that agents are able to learn who is trustworthy and who is not, even when they have no initial knowledge about the trustworthiness of other agents. This work may provide the foundation for a real-world application of an online coalition formation platform for e-commerce built on a social networking platform such as Facebook.


Mathematics ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 906
Author(s):  
Shen-Tsu Wang ◽  
Meng-Hua Li ◽  
Chun-Chi Lien

The rise of the internet has led to rapid development of online group buying, and with the various functions and analysis tools provided on the internet, consumers are making more purchases than ever before. In addition to attracting consumers to buy products or services via online shopping platforms, the industry’s online group buying market allows customers to enjoy preferential prices together. Consumers can bargain through large-scale purchases. Through quantity-based pricing, the effect of the decline on consumers’ expected price will be enhanced, and consumers will be able to purchase products at lower prices, which encourages more consumers to join group buying schemes. In terms of product cost, online shopping operations enable manufacturers to save shop setup and inventory costs, and some of these cost savings may be reflected in the selling price, which can enable customers to obtain products at lower prices. The grey decision model is used for further in-depth exploration. The purpose of this study is to use the grey correlation ranking and grey multi-attribute decision-making (TOPSIS) process to further determine the optimal shelf-time, inventory quantity, and selling price (key parameters) of commodities, in order to design a plan that makes maximum profit for the industry and provides the best service to customers.


2016 ◽  
Vol 4 (12) ◽  
pp. 230-235
Author(s):  
Li Weili Weili

Since the 90s of last century, due to the rapid development of network technology, human society has entered the network era. At present, the Internet has basically achieved the full coverage and full integration of college students, network life has become a basic li festyle for college students. The network, as a “double edged sword”, not only opens up a new era and a new space of ideological education of college students, but also has brought great challenges to the ideological education in colleges and universities. This paper focuses on the impacts and causes of the network on the ideological education of college students in order to put forward effective and feasible countermeasures aiming to promote the ideological education of college students.


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