Wenjie Wu

Dr. Wenjie Wu


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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29 June 2022 in Journal of Happiness Studies
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Journal Article
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LLLiping Liao
Liping Liao
WWWenjie Wu
Wenjie Wu
CZChenglei Zhang
Chenglei Zhang


20 November 2023 in Health & Place
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Journal Article
Closed access
DWDi Wei
Di Wei
YLYi Lu
Yi Lu
XWXueying Wu
Xueying Wu
HHHung Chak Ho
Hung Chak Ho
WWWenjie Wu
Wenjie Wu
YWYuan Wang
Yuan Wang

23 March 2020 in Informatica
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Journal Article
Open access
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NZNing Zhu
Ning Zhu
Tomas BalezentisTomas Balezentis
Tomas Balezentis
ZYZhiqian Yu
Zhiqian Yu
WWWenjie Wu
Wenjie Wu
Publisher: Vilnius University Institute of Data Science and Digital Technologies, Journal: Informatica, Title: Multi-Directional Meta-Frontier DEA Model for Total Factor Productivity Growth in the Chinese Banking Sector - A Disaggregation Approach, Authors: Ning Zhu, Tomas Baležentis, Zhiqian Yu, Wenjie Wu , Departing from conventional TFP index without variable-specific analysis, this paper applies a novel Malmquist productivity index on the basis of the multi-directional efficiency analysis to investigate not only the overall total factor productivity growth, but also the variable-specific productivity growth in the Chinese banking sector. Moreover, considering heterogenous types of banks, the metafrontier framework is taken into account. It is found that the total factor productivity tended to decline in the Chinese banking during 2005–2015 with technological change being the main source of regress. The large state-owned commercial banks performed better than the small-medium commercial banks in terms of total factor productivity growth.

1 January 2024 in Mathematical Biosciences and Engineering
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Journal Article
Open access
PDF file
SLSong Liu
Song Liu
GLGusong Luo
Gusong Luo
YCYonglong Cai
Yonglong Cai
WWWenjie Wu
Wenjie Wu
WLWeitao Liu
Weitao Liu
WTWenxuan Tan
Wenxuan Tan
Self-service technology (SST) is a logistic innovation in e-commerce that enhances last-mile delivery efficiency in supply chain management. By combining Innovation Diffusion Theory with Resource Matching Theory, we proposed a comprehensive framework to explain the relationships between beliefs, attitude, and intention in Guanzhou, China. The findings revealed that attitude played a crucial role in influencing consumer intention to adopt SST and that attitude has direct and indirect effects. Additionally, consumer perceptions of compatibility, relative advantage, reliability, and complexity indirectly affected their adoption intention through attitude. These factors had positive and negative effects. The results highlighted the importance of attitudes as immediate predictors of intention, as consumer attitudes (favorable and unfavorable) were shaped by their perceptions. We conclude by recommending strategies to promote positive attitudes toward SST and enhance safety, efficiency, and the overall user experience.