Pengzhu Zhang

Pengzhu Zhang


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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3 April 2017 in Journal of Management Information Systems
Verified
Journal Article
Closed access
RGRuYi Ge
RuYi Ge
JFJuan Feng
Juan Feng
BGBin Gu
Bin Gu
PZPengzhu Zhang
Pengzhu Zhang
This study examines the predictive power of self-disclosed social media information on borrowers’ default in peer-to-peer (P2P) lending and identifies social deterrence as a new underlying mechanism that explains the predictive power. Using a unique data set that combines loan data from a large P2P lending platform with social media presence data from a popular social media site, borrowers’ self-disclosure of their social media account and their social media activities are shown to predict borrowers’ default probability. Leveraging a social media marketing campaign that increases the credibility of the P2P platform and lenders disclosing loan default information on borrowers’ social media accounts as a natural experiment, a difference-in-differences analysis finds a significant decrease in loan default rate and increase in default repayment probability after the event, indicating that borrowers are deterred by potential social stigma. The results suggest that borrowers’ social information can be used not only for credit screening but also for default reduction and debt collection.

1 November 2018 in International Journal of Medical Informatics
Verified
Journal Article
Closed access
SHShitong Huang
Shitong Huang
JLJia Li
Jia Li
PZPengzhu Zhang
Pengzhu Zhang
WZWeiqiang Zhang
Weiqiang Zhang

7 April 2017 in Journal of Medical Internet Research
Verified
Journal Article
Open access
YLYingjie Lu
Yingjie Lu
YWYang Wu
Yang Wu
JLJingfang Liu
Jingfang Liu
JLJia Li
Jia Li
PZPengzhu Zhang
Pengzhu Zhang
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet

Mingyan WANGMingyan WANG
Mingyan WANG
PZPengzhu Zhang
Pengzhu Zhang
CZCheng-Yang Zhou
Cheng-Yang Zhou
NLNeng-Ye Lai
Neng-Ye Lai
With the aging of the population and the upgrading of the consumption structure of national health demand in China, it has become a new trend for the public to actively seek health products and services on social networks. Based on the theory of reasoned behavior and the theory of expectancy confirmation, this study aims to analyze the cognitive factors and their effects on WeChat users’ purchase intention in the process of health product consumption. Considering that safety is a key feature of health products that distinguishes them from other consumer products, the “satisfaction” concept in the expectancy confirmation model is replaced by “trust” in this study. Two hundred and two (202) valid samples were collected by a questionnaire survey to analyze their intentions to buy health products on WeChat. Theoretical models and corresponding research hypotheses were verified by structural equation modeling. The research results show that emotional price and emotional experience are positively correlated with trust and purchase intention. There is an obvious negative correlation between privacy invasion and trust. Expectation confirmation is positively associated with trust. Moreover, the intermediary test shows that trust has completely mediated between emotional price and purchase intention, and trust also has a full intermediary effect on expectation confirmation and purchase intention.

18 July 2009 in Journal of Nanoparticle Research
Verified
Journal Article
Open access
PDF file
XLXuan Liu
Xuan Liu
PZPengzhu Zhang
Pengzhu Zhang
XLXin Li
Xin Li
HCHsinchun Chen
Hsinchun Chen
YDYan Dang
Yan Dang
XWXianwen Wang
Xianwen Wang
China, Russia, and India are playing an increasingly important role in global nanotechnology research and development (R&D). This paper comparatively inspects the paper and patent publications by these three countries in the Thomson Science Citation Index Expanded (SCI) database and United States Patent and Trademark Office (USPTO) database (1976–2007). Bibliographic, content map, and citation network analyses are used to evaluate country productivity, dominant research topics, and knowledge diffusion patterns. Significant and consistent growth in nanotechnology papers are noted in the three countries. Between 2000 and 2007, the average annual growth rate was 31.43% in China, 11.88% in Russia, and 33.51% in India. During the same time, the growth patterns were less consistent in patent publications: the corresponding average rates are 31.13, 10.41, and 5.96%. The three countries’ paper impact measured by the average number of citations has been lower than the world average. However, from 2000 to 2007, it experienced rapid increases of about 12.8 times in China, 8 times in India, and 1.6 times in Russia. The Chinese Academy of Sciences (CAS), the Russian Academy of Sciences (RAS), and the Indian Institutes of Technology (IIT) were the most productive institutions in paper publication, with 12,334, 6,773, and 1,831 papers, respectively. The three countries emphasized some common research topics such as “Quantum dots,” “Carbon nanotubes,” “Atomic force microscopy,” and “Scanning electron microscopy,” while Russia and India reported more research on nano-devices as compared with China. CAS, RAS, and IIT played key roles in the respective domestic knowledge diffusion.

1 June 2005 in Decision Support Systems
Verified
Journal Article
Closed access
PZPengzhu Zhang
Pengzhu Zhang
JSJingle Sun
Jingle Sun
HCHsinchun Chen
Hsinchun Chen