Ying Zhao

Prof. Ying Zhao


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 March 2014 in Journal of the Association for Information Science and Technology
Verified
Journal Article
Closed access
PDF file
RDRobert M. Davison
Robert M. Davison
COCarol X.J. Ou
Carol X.J. Ou
MMMaris G. Martinsons
Maris G. Martinsons
YZYing Zhao
Ying Zhao
RDRong Du
Rong Du

1 February 2020 in Information Systems and e-Business Management
Verified
Journal Article
Closed access
PDF file
LZLiang Zhou
Liang Zhou
LZLin Zhang
Lin Zhang
YZYing Zhao
Ying Zhao
RZRuoshu Zheng
Ruoshu Zheng
KSKaiwen Song
Kaiwen Song



4 July 2021
Verified
Book Chapter
Closed access
PDF file
ALAobo Lyu
Aobo Lyu
XCXian Cheng
Xian Cheng
YZYing Zhao
Ying Zhao
LZLiang Zhou
Liang Zhou
HFHongjiao Fu
Hongjiao Fu

1 January 2025 in Sage Open
Verified
Journal Article
Open access
YZYing Zhao
Ying Zhao
LJLi Jia
Li Jia
ZLZhou Liang
Zhou Liang
ZSZhou Sijia
Zhou Sijia
The rapid proliferation of multiple terminals in online communities has significantly transformed user behavior, making the effective management of these terminals crucial for user acquisition, retention, activation, and conversion. Despite the growing importance of multi-terminal environments, existing research has largely overlooked the interaction effects among terminals. To address this gap, this study investigates how multiple terminals interact in an online channel, specifically focusing on user transfer behavior between PC terminals and mobile terminals in an online Question-and-Answer (Q&A) community. Grounded in brand extension and expectation confirmation theories, we propose a theoretical model to examine the interaction effects among multiple terminals in Zhihu, a representative online Q&A community in China. We use SEM to analyze the data. Findings indicate that both substitution and synergy effects exist among multiple terminals, with the synergy effect being significantly stronger than the substitution effect. Furthermore, the results reveal that perceived quality, perceptual fit, expectation confirmation, and relative advantages affect the interaction among multiple terminals. Specifically, perceived quality and perceptual fit play significant roles in generating the synergy effect, while expectation confirmation and relative advantages drive the substitution effect. This study proposes a comprehensive framework for understanding multi-terminal interactions. The model holds both theoretical and practical relevance, as it helps in understanding user behavior in multiple terminal environments and provides implications for the design of multiple terminal strategies.