Liying Yu

Prof. Liying Yu

Shanghai University
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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LYLiying Yu
Liying Yu
ZCZixuan Chen
Zixuan Chen
PYPinbo Yao
Pinbo Yao
HLHongda Liu
Hongda Liu
With the explosive growth of information and the increase of people’s fragmented time, the knowledge payment industry’s market size is growing. However, the heterogeneity between online knowledge payment behavior and traditional consumption gradually comes to the fore. It is of great practical significance to analyze the factors influencing users’ online knowledge payment behavior and clarify users’ online knowledge payment mechanism. Based on UTAUT theory, this study uses statistics, structural equation modeling, and mediating effect analysis to construct a theoretical model of the influencing factors of users’ payment behavior of knowledge payment platform from the user level, knowledge-provider level, and platform level. The findings show that content quality, peer influence, KOL influence, perceived interaction, effort expectation, and perceived trust significantly affect users’ willingness-to-pay and have an indirect effect on users’ paying behavior through their willingness-to-pay. Perceived cost, perceived interaction, content quality, peer influence, performance expectation, and effort expectation directly and significantly affect user paying behavior. By regulating the above elements, the improvement of customer attraction ability of online knowledge platforms can be realized.



1 May 2021 in Land
Verified
Journal Article
Open access
PDF file
HLHongda Liu
Hongda Liu
PYPinbo Yao
Pinbo Yao
XWXiaoxia Wang
Xiaoxia Wang
JHJialiang Huang
Jialiang Huang
LYLiying Yu
Liying Yu
Exploring the cohort behavior of local governments in green governance from the perspective of knowledge management can help promote the implementation of new development concepts. This article firstly explains the differentiation logic of local governments’ green governance cohort behavior based on the SECI expansion model. Secondly, by constructing a dynamic evolutionary game model, the conditions for the formation of positive and negative cohorts are analyzed. Finally, corresponding countermeasures are proposed. The results show that under the effect of knowledge management, the explicit and tacit knowledge, such as green governance ability and willingness of local government transform into each other, finally differentiates into four kinds of peer behavior states. Willingness stimulation, learning effect perception, complementary knowledge stock, knowledge synergy income, cooperation value-added income, punishment and reputation loss increase, which promotes local government green governance into a positive-peer state. Knowledge learning effect only exists in the early and middle stages of green governance, while the knowledge spillover effect has a more significant impact in the later stage of green governance; a higher gap between explicit knowledge and tacit knowledge, and a lower level of tacit knowledge and explicit knowledge, are conducive to the formation of positive-peer status.

9 May 2023 in Journal of Cleaner Production
Verified
Journal Article
Closed access
SZShaodong Zhao
Shaodong Zhao
LYLiying Yu
Liying Yu
ZZZiyuan Zhang
Ziyuan Zhang

13 December 2019 in Sustainability
Verified
Journal Article
Open access
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ADARDJOUMAN DIABATE
ARDJOUMAN DIABATE
HSHagan Sibiri
Hagan Sibiri
LWLinyu Wang
Linyu Wang
LYLiying Yu
Liying Yu
In most countries, small and medium-sized enterprises (SMEs) play a key role in driving sustainable economic growth and job creation; hence, the need to investigate factors (e.g., entrepreneurial factors) that influence SMEs’ sustainable growth (SMESG). This study provides an insight into entrepreneurs’ abilities (EAs) that affect SMESG in Côte d’Ivoire (a middle-income economy located in the West African region) and an assessment of the extent to which entrepreneurial orientation (EO) influences the EA–SMESG relationship. By using data from 320 Ivorian SMEs, the results of hypothesis testing confirm an association between SMESG and each EA dimension (creativity, risk control, relationship, and opportunity detection ability), learning ability excepted. As for the moderating effect of EO, the innovativeness in entrepreneurship positively and significantly regulates the EA–SMESG relationship; proactiveness positively regulates the relationship between almost all EA dimensions and SMESG; and risk tendency regulates the relationship EA–SMESG for creativity and risk-control ability. Based on major findings, management implications are formulated in relation to promoting SMEs’ sustainable growth. For example, in light of the impact of EA on SMESG, development actors can increase the efficiency of Ivorian SMEs through actions aiming at strengthening the abilities of entrepreneurs and managers.