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Sellers In Online Auction Markets: Introducing A Feedback-Based Classification, Radha Appan, Zhangxi Lin
Sellers In Online Auction Markets: Introducing A Feedback-Based Classification, Radha Appan, Zhangxi Lin
Journal of International Technology and Information Management
Trading in the online consumer-to-consumer (C2C) auction market necessitates buyers and sellers to engage in transactions with anonymous counterparts. The sequence of paying first and then taking delivery introduces a great amount of risk for potential buyers. In order to assist buyers in dealing with this risk, online auction markets (OAMs) are employing reputation-scoring systems and traders can be classified in terms of their online reputation scores. A review of the literature suggests a conspicuous absence of the study on any standard classification of sellers in OAMs. Lack of such a classification hinders systematic research and theory development. Therefore, a …
The Effects Of Personal Innovativeness , Perceived Risk , And Computer Self -Efficacy On Online Purchasing Intent, Randall J. Boyle, Cynthia P. Ruppel
The Effects Of Personal Innovativeness , Perceived Risk , And Computer Self -Efficacy On Online Purchasing Intent, Randall J. Boyle, Cynthia P. Ruppel
Journal of International Technology and Information Management
The rapid growth of e-commerce makes it important for the success of companies to understand both the factors that facilitate and are barriers to these transactions. Therefore, the purpose of this study is to investigate the relationships between perceived Internet risk, personal innovativeness and computer/web self-efficacy, and online purchases intentions as three of these factors. Results indicate that perceived Internet risk, personal innovativeness and computer/web self-efficacy are all strongly related to online purchasing intentions. There is also a strong relationship between computer self- efficacy and personal innovativeness, two of the values-compatibility variables related to intention to purchase on-line. Suggestions for …