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.
Papers
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A semantic-expansion approach to personalized knowledge recommendation
TL;DR: An Internet recommendation system that allows customized content to be suggested based on the user's browsing profile is developed and shows that the semantic-expansion approach outperforms the traditional keyword approach in catching user interests.
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Research Landscape of Business Intelligence and Big Data analytics: A bibliometrics study
Ting-Peng Liang,Yu-Hsi Liu +1 more
TL;DR: The findings indicate that Computer Science and management information systems are two core disciplines that drive research associated with Big Data and Business Intelligence.
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Effect of use contexts on the continuous use of mobile services: the case of mobile games
Ting-Peng Liang,Yi-Hsuan Yeh +1 more
TL;DR: Results from a study of continuous use of mobile services in different use contexts as defined by task and consumption place suggest that service providers need to take into account the impact of use contexts and the needs of specific users when they design mobile services.
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A Framework for Adopting Collaboration 2.0 Tools for Virtual Group Decision Making
TL;DR: A fit-viability model is used to help assessing whether social software fit a decision task and what organizational factors are important for such tools to be effective.
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A growth theory perspective on B2C e-commerce growth in Europe: An exploratory study
TL;DR: Three related theories are proposed to describe the underlying mechanism for growth in e-commerce revenues at the national level and the results show the differential efficacy of internal and external drivers as endogenous and exogenous precursors of e- commerce growth across the countries for a number of different modeling specifications.