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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Economic and social effects Engineering & Materials Science
Error correction Engineering & Materials Science
Finance Engineering & Materials Science
Health care Engineering & Materials Science
Industry Engineering & Materials Science
Supply chains Engineering & Materials Science
Sales Engineering & Materials Science
Information systems Engineering & Materials Science

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Research Output 2014 2019

  • 90 Citations
  • 4 h-Index
  • 11 Article
  • 2 Paper
  • 1 Chapter
4 Citations (Scopus)

Deep learning models for bankruptcy prediction using textual disclosures

Mai, F., Tian, S., Lee, C. & Ma, L., Apr 16 2019, In : European Journal of Operational Research. 274, 2, p. 743-758 16 p.

Stevens Institute of Technology

Research output: Contribution to journalArticle

Bankruptcy
Disclosure
Prediction
Forecasting
Neural Networks
Health care
Websites
Feedback
Healthcare
Physicians
2 Citations (Scopus)

The effect of online reviews on product sales: A joint sentiment-topic analysis

Li, X., Wu, C. & Mai, F., Mar 1 2019, In : Information and Management. 56, 2, p. 172-184 13 p.

Stevens Institute of Technology

Research output: Contribution to journalArticle

Sales
Industry
Online reviews
Sentiment
Rating
1 Citation (Scopus)

A Big-Data Approach to Understanding the Thematic Landscape of the Field of Business Ethics, 1982–2016

Liu, Y., Mai, F. & MacDonald, C., Feb 26 2018, (Accepted/In press) In : Journal of Business Ethics. p. 1-24 24 p.

Stevens Institute of Technology

Research output: Contribution to journalArticle

business ethics
history
time
Thematic
Business Ethics

An empirical investigation of the Baldrige framework using applicant scoring data

Mai, F., Ford, M. W. & Evans, J. R., Sep 3 2018, In : International Journal of Quality and Reliability Management. 35, 8, p. 1599-1616 18 p.

Stevens Institute of Technology

Research output: Contribution to journalArticle

Performance excellence
Scoring
Empirical investigation
Industry
Total quality management