文献类型：期刊文献

英文题名：Impact of Online Review Grouping on Consumers' System Usage Behavior: A System Restrictiveness Perspective

作者：Li, Jia[1];Li, Xinmiao[2];Yen, David C.[3];Zhang, Pengzhu[4]

机构：[1]East China Univ Sci & Technol, Sch Business, Shanghai, Peoples R China;[2]Shanghai Univ Finance & Econ, Sch Informat Management & Engn, Shanghai, Peoples R China;[3]SUNY Coll Oneonta, Sch Business & Econ, Oneonta, NY 13820 USA;[4]Shanghai Jiao Tong Univ, Coll Econ & Management, Shanghai, Peoples R China

年份：2016

卷号：24

期号：4

起止页码：45

外文期刊名：JOURNAL OF GLOBAL INFORMATION MANAGEMENT

收录：;EI(收录号：20164603018986);WOS:【SSCI(收录号:WOS:000391134200003)】；

语种：英文

外文关键词：Electronic Commerce; Interactive Decision Aids; Message Grouping; Online Review; System Restrictiveness; System Usage

摘要：Information overload is one of the major challenges for online shoppers. One possible solution to this aforementioned problem is to take advantage of the interactive decision aids (IDAs). Prior studies on IDAs have mainly focused on information overload problems caused by the products (e.g., recommendation agents) and hence, have overlooked the information overload problems related to online reviews. However, online reviews are becoming more popular and turning into a major information source in consumer purchase decisions. To bridge this gap, this study investigates the effect of message grouping, an IDA approach supporting review browsing, onto the consumer's information processing and system usage intention. An experiment with a one-factor, three-level design was conducted to test the proposed research model. It is noted that grouping customer reviews into task-related categories significantly increases users' perceived usefulness, system satisfaction and intention to use the system next time. However, grouping customer reviews into task-distracting categories may significantly decrease users' perceived usefulness, system satisfaction and intention to use the system.