Past Member

Haijing Hao

Former Visiting Scholar
Publication

Modeling social learning on consumers’ long-term usage of a mobile technology: a Bayesian estimation of a Bayesian learning model

Hao, H., Padman, R., Sun, B. et al. Electron Commer Res (2018). https://doi.org/10.1007/s10660-018-09324-5

Publication

Multiple Instance Learning for Credit Risk Assessment with Transaction Data

Tao ZHANG, Wei ZHANG, Wei XU, Haijing, HAO. Knowledge-Based Systems, Volume 161, 1 December 2018, Pages 65-77.

Publication

An empirical study of opinion leader effects on mobile technology implementation by physicians in an American community health system

Hao and Padman. Health Informatics Journal, published online Dec. 21, 2016. Published Sept. 1, 2018.

Publication

The Online Voice of Health Consumers in China: A Text Mining Approach to Online Doctor Reviews

Hao H, Zhang K. The Voice of Chinese Health Consumers: A Text Mining Approach to Web-Based Physician Reviews. J Med Internet Res 2016;18(5):e108. URL: https://www.jmir.org/2016/5/e108. DOI: 10.2196/jmir.4430

Publication

Quantifying the Impact of Social Influence on the Information Technology Adoption Process by Physicians: A Hierarchical Bayesian Learning

H Hao, R Padman, B Sun, R Telang. Information Systems Research, 2018, 29(1), pp. 25–41. https://doi.org/10.1287/isre.2017.0746

Publication

A tale of two countries: International comparison of online doctor reviews between China and the United States

Haijing Hao, Kunpeng Zhang, Weiguang Wang, Gordon Gao. A tale of two countries: International comparison of online doctor reviews between China and the United States. International Journal of Medical Informatics. Volume 99, 2017, Pages 37-44, ISSN 1386-5056, https://doi.org/10.1016/j.ijmedinf.2016.12.007.

Publication

The Development of Online Doctor Reviews in China: An Analysis of the Largest Online Doctor Review Website in China

Hao H The Development of Online Doctor Reviews in China: An Analysis of the Largest Online Doctor Review Website in China. J Med Internet Res 2015;17(6):e134. URL: https://www.jmir.org/2015/6/e134. DOI: 10.2196/jmir.4365