{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T18:53:24Z","timestamp":1722970404884},"reference-count":20,"publisher":"IGI Global","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,10,1]]},"abstract":"<p>Consumer behaviors have always been the hot spot of the study. With the arrival of the network age and the popularity of e-commerce, the consumption pattern of shopping online is beginning. Until December of 2014, there were 649 million Internet users in China, and it's increasing. In the year of 2014, the number of most mainstream online shoppers has increased by 23.7% and shopping online has become an irresistible trend. New consumption mode can produce a new research subject, the study of Internet consumer behaviors becomes very important. This article used LocoySpider, a data mining software, to mine Taobao online reviews. Through the analysis of online reviews, we can study the effect of online reviews on consumer behaviors. During the study, we set the risk perception as intermediary variable. By the study, we can help the electronic commercial enterprises to attract customers, retain customers and reduce the information search cost.<\/p>","DOI":"10.4018\/jeco.2017100107","type":"journal-article","created":{"date-parts":[[2017,8,28]],"date-time":"2017-08-28T14:34:32Z","timestamp":1503930872000},"page":"83-94","source":"Crossref","is-referenced-by-count":7,"title":["The Online Reviews' Effects on Internet Consumer Behavior"],"prefix":"10.4018","volume":"15","author":[{"given":"Mingli","family":"Zhang","sequence":"first","affiliation":[{"name":"Yanshan University, School of Economics and Management, Qinhuangdao, China"}]},{"given":"Suyun","family":"Ding","sequence":"additional","affiliation":[{"name":"Yanshan University, School of Economics and Management, Qinhuangdao, China"}]},{"given":"Yuanwei","family":"Bian","sequence":"additional","affiliation":[{"name":"Yanshan University, School of Economics and Management, Qinhuangdao, China"}]}],"member":"2432","reference":[{"key":"JECO.2017100107-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2013.06.003"},{"issue":"6","key":"JECO.2017100107-1","first-page":"91","article-title":"A study on the effect of perceived website risk control on consumer behavior.","volume":"18","author":"C.-H.Chen","year":"2013","journal-title":"Industrial Engineering and Management"},{"key":"JECO.2017100107-2","author":"X.-P.Chen","year":"2012","journal-title":"Empirical approaches to the study of the organization and management"},{"issue":"1","key":"JECO.2017100107-3","first-page":"18","article-title":"Study on impact factors of voting for the helpfulness of online reviews in E-commerce.","volume":"34","author":"Z.-F.Chen","year":"2014","journal-title":"Journal of Modern Information"},{"issue":"1","key":"JECO.2017100107-4","first-page":"55","article-title":"Research of the perceived risk facets by consumers in internet shopping.","volume":"2","author":"D.-H.Dong","year":"2005","journal-title":"Chinese Journal of Management"},{"key":"JECO.2017100107-5","doi-asserted-by":"publisher","DOI":"10.1145\/1282100.1282158"},{"key":"JECO.2017100107-6","first-page":"19","article-title":"A study on review utility classification model of online review community.","volume":"6","author":"B.Gu","year":"2015","journal-title":"Research on Library Science"},{"issue":"10","key":"JECO.2017100107-7","first-page":"17","article-title":"An empirical study on the influence of perceived credibility of online consumer reviews.","volume":"32","author":"G.-Q.Guo","year":"2010","journal-title":"Contemporary Economy & Management"},{"issue":"8","key":"JECO.2017100107-8","first-page":"78","article-title":"Research on online impact factors of customer reviews usefulness based on movie reviews data.","volume":"13","author":"Y.-Y.Hao","year":"2010","journal-title":"Journal of Management Sciences in China"},{"key":"JECO.2017100107-9","author":"D. 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