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题目:The Different Behaviors between Product Searchers and Website Searchers
时间:2018年7月17日(周二)上午10:30
地点:经济与管理学院学术报告厅(南校区信远楼2区324)
报告人:Bin Zhu
报告人简介:
 
Dr. Bin Zhu is an Associate Professor of Business Information Systems in the College of Business. Prior to OSU she was an assistant professor at Boston University. She earned her Ph.D. in Management Information Systems from University of Arizona. Her current research interests include business intelligence, information analysis, social network, human-computer interaction, information visualization, computer-mediated communication, and knowledge management systems. She has been a lead author for papers that have appeared in Information Systems Research, Decision Support Systems, Journal of the American Society for Information Science and Technology, IEEE Transaction on Image Processing, and D-Lib Magazine. Her research also received an IBM faculty award.  She leads the OSU MBA Business Analytics track. Her teaching interests are business analytics, data management, data/text mining, business process, and management information systems.
 
报告摘要
E-commerce websites such as amazon.com, Walmart.com, etc. serve as online retail stores where customers go for online shopping. People usually use two types of key terms to access an e-commerce website through search engine. They can either use product-related terms, such as the product category or the product brand, or use the name of the website itself.  It is apparent that users using these two types of key words may have different expectations when arrive the e-commerce website and may revisit the website through different paths. While various studies have dedicated themselves to improve the effectiveness and efficiency of search engine marketing, we have not yet found studies that provide a thorough understanding of the difference between product searchers and website searchers when they visit an e-commerce website, while such understanding plays a crucial role in the design of the e-commerce website itself and the design of its marketing strategy. To bridge the gap, the paper investigates the behavioral difference between e-commerce website visitors using different types of key terms. We developed the hypotheses based on theories in purchase funnel, carryover and spillover effect, and active and passive search. The hypotheses were tested using the data collected from a major e-commerce website from China. We believe that our results make significant academic contribution and have important practical implications.
 
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