J
Jyun-Cheng Wang
Researcher at National Tsing Hua University
Publications - 38
Citations - 1351
Jyun-Cheng Wang is an academic researcher from National Tsing Hua University. The author has contributed to research in topics: The Internet & Social network analysis. The author has an hindex of 12, co-authored 36 publications receiving 1256 citations. Previous affiliations of Jyun-Cheng Wang include National Chung Cheng University.
Papers
More filters
Journal ArticleDOI
Data mining techniques for customer relationship management
TL;DR: While differing approaches abound in the realm of data mining, the use of some type of datamining is necessary to accomplish the goals of today’s customer relationship management philosophy.
Journal ArticleDOI
How online social ties and product-related risks influence purchase intentions: A Facebook experiment
Jyun-Cheng Wang,Ching-Hui Chang +1 more
TL;DR: It is found that the product information and recommendations provided by friends with whom consumers have strong ties are perceived as having a high level of diagnosticity, which increases the probability that the consumers will purchase the product in question.
Journal ArticleDOI
Recommending trusted online auction sellers using social network analysis
Jyun-Cheng Wang,Chui-Chen Chiu +1 more
TL;DR: A recommendation system that uses trading relationships to calculate level of recommendation for trusted online auction sellers and can provide warning several months ahead of officially released blacklists to help guard against possible seller collusion is presented.
Journal ArticleDOI
Social interaction and continuance intention in online auctions: A social capital perspective
Jyun-Cheng Wang,Ming-Jiin Chiang +1 more
TL;DR: The analytical results demonstrate that the influence of user interaction on continuance intention in online auctions is mediated by the creation of various dimensions of social capital at the community level.
Journal ArticleDOI
The effects of attention inertia on advertisements on the WWW
Jyun-Cheng Wang,Rong-Fuh Day +1 more
TL;DR: The results show that at different levels of depth in a meaningful path, the amount of attention allocated to the content of a web page is not the same, regardless of whether attention indexes were based on dwell time or the number of fixations.