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Proceedings of the ... Americas Conference on Information Systems. Americas Conference on Information Systems最新文献

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Organizing Equity Exchanges 组织股权交易
Torsten Schaper
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引用次数: 1
Mashups: An Approach to Overcoming the Business/IT Gap in Service-Oriented Architectures mashup:一种在面向服务的体系结构中克服业务/IT差距的方法
Stefan Bitzer, M. Schumann
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引用次数: 14
Evaluation of Decision Rules Used for IT Portfolio Management: An Inductive Approach 用于IT投资组合管理的决策规则评价:一种归纳方法
Prasanna P. Karhade, M. Shaw, Ramanath Subramanyam
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引用次数: 11
Pricing Strategy in Online Retailing Marketplaves of Homogeneous Goods: Should High Reputation Seller Charge More? 同质商品在线零售市场的定价策略:信誉高的卖家是否应该收取更高的费用?
Richard Yuewen Liu, K. Wei, Hua-ping Chen
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引用次数: 9
Consumer's Online Shopping Influence Factors and Decision-Making Model 消费者网上购物影响因素及决策模型
Xiangbin Yan, Shi Dai
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引用次数: 14
iPhone or Kindle: Competition of Electronic Books Sales iPhone还是Kindle:电子书销售的竞争
Li Chen
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引用次数: 6
Behavioral Targeting: A Case Study of Consumer Tracking on Levis.com 行为定位:以Levis.com为例
Catherine Dwyer
Behavioral targeting is an online marketing method that collects data on the browsing activities of consumers, in order to „target‟ more relevant online advertising. It places digital tags in the browsers of web site visitors, using these tags to track and aggregate consumer behavior. The vast majority of data is collected anonymously, i.e., not linked to a person‟s name. However, behavioral targeting does create digital dossiers on consumers with the aim of connecting browsing activity to a tagged individual. This tagging is largely invisible to consumers, who are not asked to explicitly give consent for this practice. By using data collected clandestinely, behavioral targeting undermines the autonomy of consumers in their online shopping and purchase decisions. In order to illustrate the nature of consumer tracking, a case study was conducted that examined behavioral targeting within Levis.com, the e-commerce site for the Levis clothing line. The results show the Levis web site loads a total of nine tracking tags that link to eight third party companies, none of which are acknowledged in the Levis privacy policy. Behavioral targeting, by camouflaging the tracking of consumers, can damage the perceived trustworthiness of an e-commerce site or the actor it represents. The risks behavioral targeting presents to trust within ecommerce are discussed, leading to recommendations to reestablish consumer control over behavioral targeting methods.
行为定位是一种在线营销方法,它收集消费者的浏览活动数据,以便“定位”更相关的在线广告。它在网站访问者的浏览器中放置数字标签,使用这些标签来跟踪和汇总消费者行为。绝大多数数据是匿名收集的,也就是说,与个人姓名无关。然而,行为定位确实创建了消费者的数字档案,目的是将浏览活动与被标记的个人联系起来。这种标签对消费者来说基本上是不可见的,他们没有被要求明确地同意这种做法。通过使用秘密收集的数据,行为定位破坏了消费者在网上购物和购买决策中的自主权。为了说明消费者跟踪的本质,我们进行了一个案例研究,研究了Levis服装系列的电子商务网站Levis.com的行为定位。结果显示,Levis网站总共加载了9个追踪标签,链接到8家第三方公司,但没有一家在Levis的隐私政策中得到承认。通过掩饰对消费者的跟踪,行为定位可能会损害电子商务网站或其所代表的参与者的可信赖性。讨论了行为定位给电子商务中的信任带来的风险,并建议重新建立消费者对行为定位方法的控制。
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引用次数: 33
How the Website Usability Elements Impact Performance 网站可用性元素如何影响性能
Muhammad Aljukhadar, S. Sénécal
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引用次数: 13
The Commercial Open Source Business Model 商业开源商业模式
D. Riehle
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引用次数: 44
Sloppy Tags and Metacrap? Quality of User Contributed Tags in Collaborative Social Tagging Systems 邋遢标签和Metacrap?协同社会标签系统中用户贡献标签的质量
Hongwei Zhu, Harris Wu
There have been an increasing number of social tagging systems on the web that allow users to contribute tags collaboratively to describe various resources. As the number of tags continue to grow, it is important that we can describe and measure their quality. There have been conflicting opinions about the quality of user-contributed tags but the issue has not been systematically studied. In this work-in-progress paper, we propose a preliminary methodology for assessing tag quality. The methodology identifies three aspects of tag quality in a social tagging system: individual tags, collections of tags, and the association of the tags with the corresponding resources. The proposed methodology is being empirically evaluated using the tags of several social tagging systems. In addition to validating and refining the tag quality assessment methodology, the empirical analysis is expected to provide new findings about various properties of the tags. These findings will be used to improve the design of tagging systems by incorporating mechanisms that induce the contribution of high quality tags.
网络上有越来越多的社会标签系统,允许用户协作贡献标签来描述各种资源。随着标签数量的不断增长,我们能够描述和衡量它们的质量是很重要的。关于用户贡献标签的质量,一直存在着相互矛盾的观点,但这一问题尚未得到系统的研究。在这篇正在进行的论文中,我们提出了一种评估标签质量的初步方法。该方法确定了社会标签系统中标签质量的三个方面:单个标签、标签集合以及标签与相应资源的关联。所提出的方法正在使用几个社会标签系统的标签进行经验评估。除了验证和完善标签质量评估方法外,实证分析有望提供有关标签各种属性的新发现。这些发现将被用来改进标签系统的设计,通过纳入机制,诱导高质量标签的贡献。
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引用次数: 2
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Proceedings of the ... Americas Conference on Information Systems. Americas Conference on Information Systems
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