A two-level investigation of information systems outsourcing
Communications of the ACM
Decision Support Systems - Special issue on economics of electronic commerce
What makes Internet users visit cyber stores again? key design factors for customer loyalty
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Client satisfaction with outsourced IT services: a transaction-cost approach
ICIS '99 Proceedings of the 20th international conference on Information Systems
Information Systems Outsourcing; Myths, Metaphors, and Realities
Information Systems Outsourcing; Myths, Metaphors, and Realities
Assessing the Risk of IT Outsourcing
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Journal of Management Information Systems - Special section: Strategic and competitive information systems
WSEAS Transactions on Information Science and Applications
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The population of using network is rising year by year because of the network prevailed. The maturation of e-commerce environment makes the business opportunity of the network limitless. According to network auction and relevant literature of network marketing, the behavior that consumers adopted the network platform and e-shopping has been common in recent years. But the mechanism of network shopping is often interfered by the human factors. Network platform manufacturer is hard to grasp consumers' behaviors and intentions. Moreover, confusing marketing methods leads e- sopping is hard to be flourishing development. In addition there are a few quality researches in consumers' points of view in behaviors of e-shopping. Thus, this research will study interactive qualitative research, IQA and combine with Theory of Transaction Cost, TCT. Regarding domestic university student as the research objects and selecting the graduate student with e-shopping experience to make up the member of community probe into the model of consumers vs. e-shopping platform. This research finds out the common experience in group's interview, and through Affinity and Theoretical Coding. It will see relatively the representative Affinities including convenience, interface, procedure design, freight charges, security and after-sale service, etc. Last, through Group Composition form finishes the analyzing among the relation of every Affinity. The result has found as the behavior of purchasing on line, there was a huge different between men and women. Girls think interface designing and security are important reasons to influence other factors. Men, then, think interfaces designing and after-sale service are more important. Based on the considered relation, women obviously have priority relation. Besides interface designing, groups have no connection. It is obviously men and women have loud difference to influence e-shopping behaviors.