T
Ting-Peng Liang
Researcher at National Sun Yat-sen University
Publications - 201
Citations - 11845
Ting-Peng Liang is an academic researcher from National Sun Yat-sen University. The author has contributed to research in topics: Information system & Decision support system. The author has an hindex of 48, co-authored 198 publications receiving 10335 citations. Previous affiliations of Ting-Peng Liang include Purdue University & City University of Hong Kong.
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Journal ArticleDOI
Regret avoidance as a measure of DSS success: An exploratory study
TL;DR: This exploratory study extends prior research on DSS evaluation by proposing regret avoidance as an additional measure of DSS success, demonstrating DSS use significantly reduces regret in situations involving low user satisfaction.
Proceedings ArticleDOI
Social commerce: an e-commerce perspective
TL;DR: This paper identifies those areas of e-commerce which are impacted by social commerce, namely as the delivery of E-commerce activities in social networks and by social software tools.
Journal ArticleDOI
Knowledge evolution strategies and organizational performance: A strategic fit analysis
Deng-Neng Chen,Ting-Peng Liang +1 more
TL;DR: The concept from natural evolution is used to define two knowledge evolution strategies: knowledge mutation that relies on internal knowledge sources and knowledge crossover that takes advantage of external sources such as online communities and professional consultants.
Journal ArticleDOI
Special Section: Customer-Centric Information Systems
Ting-Peng Liang,Mohan Tanniru +1 more
TL;DR: Ting-Peng Liang's primary research interests include electronic commerce, knowledge management, intelligent systems, and strategic applications of information systems.
Proceedings ArticleDOI
Effect of personalization on the perceived usefulness of online customer services: a dual-core theory
TL;DR: A dual core theory that takes into account both economic factors (measured by perceived reduction in transaction costs) and emotional factors (referred to as the perceived care) in their effect on the perceived usefulness of providing personalized customer services suggests that e-tailers may use personalized services strategically to increase customer care, rather than just focusing on providing economic benefits.