Title :
Empirical Study of Social Features´ Roles in Buyers´ Complex Decision Making
Author_Institution :
Dept. of Comput. Sci., Hong Kong Baptist Univ., Hong Kong, China
Abstract :
This paper aims at studying the roles of social features (as obtained from social networking sources) in buyers´ decision process when they are searching for products to buy. Through close observation of users´ objective behavior, we have discovered the importance of different types of social features in supporting users to achieve a confident decision at the end. Improving suggestions are further derived on how to better present the social information and combine them with static product attributes to enhance current online decision supports.
Keywords :
consumer behaviour; data mining; decision making; social networking (online); buyer decision; online decision support; product searching; social feature; social information; static product attribute; user observation; Communities; Decision making; Digital cameras; Filtering; Information processing; Social network services; Empirical study; Flickr; social features;
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on
Conference_Location :
Odense
Print_ISBN :
978-1-4244-7787-6
Electronic_ISBN :
978-0-7695-4138-9
DOI :
10.1109/ASONAM.2010.61