The Effect of Consumer Shopping Motivations on Online Auction Behaviors: An Investigation of Searching, Bidding, Purchasing, and Selling

The purposes of the study were to: 1) identify the underlying dimensions of consumer shopping motivations and attitudes toward online auction behaviors; 2) examine the relationships between shopping motivations and online auction behaviors; and 3) examine the relationships between shopping attitudes and online auction behaviors. Students (N = 341) enrolled at the University of North Texas completed self-administered questionnaires measuring shopping motivations, attitudes, online auction behaviors, and demographic characteristics. Using multiple regression analyses to test the hypothesized relationships, shopping motivations and shopping attitudes were significantly related to online auction behaviors. Understanding the relationships is beneficial for companies that seek to retain customers and increase their sales through online auction

Link-based similarity search to fight web spam

www.ilab.sztaki.hu/websearch We investigate the usability of similarity search in fighting Web spam based on the assumption that an unknown spam page is more similar to certain known spam pages than to honest pages. In order to be successful, search engine spam never appears in isolation: we observe link farms and alliances for the sole purpose of search engine ranking manipulation. The artificial nature and strong inside connectedness however gave rise to successful algorithms to identify search engine spam. One example is trust and distrust propagation, an idea originating in recommender systems and P2P networks, that yields spam classificators by spreading information along hyperlinks from white and blacklists. While most previous results use PageRank variants for propagation, we form classifiers by investigating similarity top lists of an unknown page along various measures such as co-citation, companion, nearest neighbors in low dimensional projections and SimRank. We test our method over two data sets previously used to measure spam filtering algorithms. 1

Global dynamic E-marketplaces, and their role in the internet-based economy

Collaboration capabilities are what will most probably create the gap between winners and losers in business-to-business (B2B) commerce. In this context, the electronic marketplace (EM) comes as a medium for trade and collaboration, and a common entry point where partners can share business processes and adopt a decentralized business model fuelled by market evolution. The thesis illustrates the advantages of collaborative business and presents the information technologies that support it. The purpose of this thesis is to educate both the author and the reader on the technology and infrastructure that supports collaborative business and to posit that among the three major information technology infrastructures that enable B2B commerce, the EM model provides significant advantages for individual companies and industries compared to Electronic Data Interchange (EDI) and Peer-to-Peer (P2P). The thesis identifies key tools and value-added services EM\u27s should provide their participants to meet the requirements of modern companies and the Internet-based economy. Finally, the thesis suggests potential impacts of EM\u27s on the modern business ecosystem