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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.
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Knowledge evolution strategies and organizational performance: A strategic fit analysis

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.
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Special Section: Customer-Centric Information Systems

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.