• 127 Citations
  • 2 h-Index
20132018
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Research Output 2013 2018

  • 127 Citations
  • 2 h-Index
  • 4 Article
  • 2 Conference contribution
2018
2 Citations (Scopus)
Data envelopment analysis
Industry
Mathematical models
Network development
Supply network

Learning from your friends' check-ins: An empirical study of location-based social networks

Qiu, L., Shi, Z. & Whinston, A. B., Jan 1 2018, In : Information Systems Research. 29, 4, p. 1044-1061 18 p.

Research output: Contribution to journalArticle

social network
learning
learning success
networking
customer
2017

When your app is under the spotlight

Liang, C., Shi, Z. & Santanam, R., Jan 1 2017, Internetworked World - 15th Workshop on e- Business, WeB 2016, Revised Selected Papers. Springer Verlag, Vol. 296. p. 110-116 7 p. (Lecture Notes in Business Information Processing; vol. 296).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Application programs
Update
Recommender systems
Product Space
Sales
2015

Representation, homophily, and polarization in the U.S. House of representatives in the twitter era

Mousavi, R., Gu, B., Vinze, A. & Shi, Z., 2015, 25th Annual Workshop on Information Technologies and Systems, WITS 2015. University of Texas at Dallas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Polarization
2014
105 Citations (Scopus)

Content sharing in a social broadcasting environment: Evidence from Twitter

Shi, Z., Rui, H. & Whinston, A. B., Mar 1 2014, In : MIS Quarterly: Management Information Systems. 38, 1, p. 123-142 20 p.

Research output: Contribution to journalArticle

Broadcasting
Maximum likelihood
Twitter
Follower
2013
20 Citations (Scopus)

Network structure and observational learning: Evidence from a location-based social network

Shi, Z. & Whinston, A. B., Oct 1 2013, In : Journal of Management Information Systems. 30, 2, p. 185-212 28 p.

Research output: Contribution to journalArticle

Computer science
Observational learning
Social networks
Network structure
Learning model