Ting-Peng Liang
National Sun Yat-sen University
201 Papers
1.4K Citations
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. Previous affiliations of Ting-Peng Liang include Purdue University & City University of Hong Kong.
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Papers
Promoting the Integration of Users and Developers to Achieve a Collective Mind through the Screening of Information System Projects
TL;DR: In this article, the authors propose a model that establishes how directed screening of projects to consider user-related criteria can improve the active participation of users by fostering trust, knowledge exchange, and a collective mind in the project team among users and developers.
Retailing in Electronic Commerce: Products and Services
Efraim Turban,David King,Jae Kyu Lee,Ting-Peng Liang,Ting-Peng Liang,Deborrah C. Turban +5 more
- 01 Jan 2015
TL;DR: In the early 1990s, entrepreneur Jeff Bezos saw an opportunity rather than a business problem. He decided that books were the most logical product for selling online as mentioned in this paper and began selling books online.
What in Consumer Reviews Affects the Sales of Mobile Apps: A Multifacet Sentiment Analysis Approach
TL;DR: Although consumers’ opinions on product quality occupies a larger portion of consumer reviews, their comments on service quality have a stronger unit effect on sales rankings, and the empirical analysis illustrates the value of the proposed multifacet sentiment analysis (MFSA) approach.
The Spread and Impact of Fake News on Social Media: A Systematic Literature Review and Future Research Agenda
Jithesh Arayankalam,Satish Krishnan,Aelita Skaržauskiene˙,Vipin Chandra Saini,Mohan Tanniru,Ting-Peng Liang,Ernest Yoder,Yu-Chen Yang +7 more
- 19 Jan 2023
TL;DR: A systematic literature review as discussed by the authors organized the fragmented literature on fake news, focusing on the psychosocial antecedents of its spread on social media and the impact due to such spread.
Internet-based selling technology and e-commerce growth: a hybrid growth theory approach with cross-model inference
TL;DR: Both endogenous variables and exogenous variables drive the GDP-normalized level of B2C e-commerce revenues over time, and it is useful to include an embedded technology adoption function in a modeling specification for growth, since growth is founded on the availability of relevant IT infrastructure that is made possible by the available venture capital.