Purpose -This study proposes a model of online purchase intentions. Four exogenous constructsnamely, personal awareness of security, personal innovativeness, perceived ease of purchasing, and perceived usefulness -have not only direct influences on attitudes and online purchase intentions, but also have indirect influences on online purchase intentions through the mediation of attitudes. Design/methodology/approach -Data were collected via questionnaires from customers of the leading internet service provider (ISP) in Taiwan. Structural equation modeling (SEM) was used to examine the model. Findings -The influences of personal innovativeness and perceived usefulness on attitudes and online purchase intentions are similar for males and females. The influences of personal awareness of security on both attitudes and online purchase intentions are strong for males, while no such effects exist for females. The influences of perceived ease of purchasing on both attitudes and online purchase intentions are stronger for females than for males. Research limitations/implications -There are several limitations. For example, there may exist common method variance, and the generalisability of the findings might be limited. Besides, this study is using only one product category, and customers' online purchase intentions may be only partially reflected due to the investigation of self-reports. Practical implications -By learning gender differences, e-tailers and advertisers can better target right consumers and consequently foster more positive attitudes and online purchase intentions. Originality/value -This study presents a thorough understanding on a model of online purchase intentions, and how gender moderates several paths of the model.

XML has already been the standard of data interchange on the Internet. Nowadays, a large amount of data is represented in XML format. However, most of the critical data in businesses are still stored in relational database management systems. It is difficult to query XML databases because of its textual format. This research intends to tackle this problem, and we proposed a system to manage XML documents that could be queried by the query language XQuery. XML documents are stored in relational format and the XQuery expressions are translated into appropriate SQL queries. The results of the SQL queries are transformed into XML documents. Comparing with LegoDB System, our system reduces processing time to search a relation configuration and proposes a better translating and executing technique which is more efficiently.

The technology of Radio Frequency Identification, namely RFID, has been widely used in service industry for identification. The RFID system is design for inexpensive and reliable purpose in automatic identification. However, very few researchers focused on remote control module in a long range and high speed environment. This study proposed a long range active tag technology and illustrated how to implement it in traffic management system for solving the problem of traffic crowding.

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