DocumentCode
3502829
Title
Getting to Know Websites through Uncertainty Reduction Strategies: Which Strategies Are Used More, and Which Are Better? An Empirical Study of First-Time Visitors
Author
Sia Choon Ling ; Luo Chuan ; Bernard, Thibault ; Cheng Yian ; Shi Yani ; Chen Huaping
Author_Institution
Dept. of Inf. Syst., City Univ. of Hong Kong, Kowloon
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
3845
Lastpage
3848
Abstract
Uncertainty reduction is an important precondition for various facilitators of Internet shopping behaviors, visitors dealing with an online store will require sufficient information so as to reduce their uncertainty of the Web site. Uncertainty reduction theory has identified four strategies for the visitors to lower their uncertainty. Since different Internet strategies have different efficiency and effectiveness at conveying different levels of information, and not all tasks have the same information need, the relative effectiveness of these technologies at supporting these strategies to reduce uncertainty is still unclear. This research designs two laboratory experiments to investigate how the initial visitors will use different types of uncertainty-reducing technological support, how different task types and different levels of presented information would lead to greater uncertainty reduction. The results would inform practitioners on how these strategies could be useful to reduce uncertainty surrounding new online stores, and ultimately to promote Internet commerce.
Keywords
Web sites; behavioural sciences; electronic commerce; retailing; Internet commerce; Internet shopping behavior; Web site; first-time visitor; information need; online stores; uncertainty reduction; Availability; Business; Context; Information resources; Information systems; Internet; Laboratories; Management information systems; Technology management; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.951
Filename
4340726
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