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Title:Chinese individual investors’ information-seeking behavior on the web
Author(s):Li, Yuelin; Liu, Jiqun
Subject(s):Information-seeking behavior
Investors
Browsing
Information-seeking pattern
Abstract:This study explores what types of information Chinese individual investors seek on the web and how they seek information online, based on 19 semi-structured in-depth interviews conducted in China. The results indicate that investors seek different types of information online, such as policy information, individual stock information, economic information, industrial information, and unexpected event information. Policy information is the most important for the investors, followed by individual stock information. The study also identifies several investors’ information-browsing patterns, such as focused, main-complementary, parallel, referenced, and goal-driven. The study indicates that investment context in China, the way of supporting information provision, and information-seeking tasks and goals greatly shape investors' information-seeking behavior. The study helps researchers understand characteristics of investors' information-seeking behavior. As well, it informs online investment information provision and organization and has implications for interface design of online information systems.
Issue Date:2017
Publisher:iSchools
Citation Info:Li, Y., & Liu, J. (2017). Chinese Individual Investors’ Information-Seeking Behavior on the Web. In iConference 2017 Proceedings (pp. 66–78). https://doi.org/10.9776/17011
Series/Report:iConference 2017 Proceedings
Genre:Conference Paper/Presentation
Type:Text
Language:English
URI:http://hdl.handle.net/2142/96685
DOI:https://doi.org/10.9776/17011
Rights Information:Copyright 2017 Yuelin Li and Jiqun Liu
Date Available in IDEALS:2017-07-27


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