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PERCEPTION OF INTERNET SHOPPING: A STUDY ON THE EXPERIENCED AND INEXPERIENCED INTERNET SHOPPERS FOR COLLEGE STUDENTS

机译:互联网购物的看法:大学生有经验丰富,营业的互联网购物者的研究

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Over the past decade, Internet shopping has grown substantially. Although the fast advancing information infrastructure makes the connectivity possible to reach almost anywhere in the world, it does not necessarily ensure a successful development of Internet shopping platform for every Internet shoppers. The important factor that could influence the diffusion of Internet commerce can be the difference of the perception on the Internet shopping. A factor that could influence the perception is the difference in internet shopping experience of internet buyers. To examine the effect of internet shopping experience on the perception for Internet shopping, Internet shoppers from two markedly different groups - experience and inexperienced group - were chosen, and the perception for Internet shopping of experienced Internet shoppers is contrasted with those of inexperienced internet shoppers. Using the variables identified by the literature, this study identified differences in perception on Internet shopping between U.S. And Korean shoppers and also identified the particular variables that facilitate or hinder the Internet shoppers in each country. In order to reach a proper subset of Internet shoppers, more than 100 experienced and inexperienced Internet shoppers in the U.S. Colleges were chosen. For the analysis of data, multivariate analysis of variance (MANOVA), analysis of variance (ANOVA), and factor analysis were utilized. The results indicate that the perceptions of Internet shoppers in the two groups are different in some of the variables identified in this study.
机译:在过去十年中,互联网购物已经大幅增长。虽然快速推进信息基础设施使得可以实现几乎可以到达世界上任何地方的连接,但它并不一定确保为每个互联网购物者提供互联网购物平台的成功开发。可能影响互联网商务扩散的重要因素可能是对互联网购物的看法的差异。可能影响知识的一个因素是互联网买家互联网购物体验的差异。为了审查互联网购物经验对互联网购物感知的影响,从两个明显不同的群体的互联网购物者 - 被选中,经验和缺乏经验的群体 - 有经验丰富的互联网购物者的互联网购物的看法与营业型互联网购物者的互联网购物相比对比。使用文献所识别的变量,本研究确定了美国和韩国购物者之间对互联网购物的看法的差异,并确定了促进或阻碍每个国家互联网购物者的特定变量。为了达到适当的互联网购物者的子集,在美国学院的互联网上有超过100名经验丰富的互联网购物者。为了分析数据,利用多元差异分析(MANOVA),方差分析(ANOVA)和因子分析。结果表明,两组互联网购物者的看法在本研究中识别的一些变量中是不同的。

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