Haijing Hao

Haijing received her Ph.D. in Information Systems Management, Carnegie Mellon University (CMU), 2012. Her dissertation received the William W. Cooper Doctoral Dissertation Award at CMU, entitled, Social Influence on Information Technology Adoption and Sustained Use in Healthcare: A Hierarchical Bayesian Learning Method Analysis. Haijing was awarded 2020 Grace Hopper Celebration (GHC) Faculty Scholarship. Haijing is an Associate at Asia Center, Harvard University (2014 - 2019; 2021 - present), a visiting scholar at the Media Lab, MIT (2018 - 2019), a steering committee member of Boston CHI, ACM (2016 - present), the secretary of SIG Health, AIS (2018 - present ), and a board member of Cambridge Community Television (CCTV) (2021 - present).

Education

• Carnegie Mellon University - Heinz College of Information Systems and Public Policy - Doctor of Philosophy (PhD), Information Systems Management 2005 - 2012
• Information Systems and Public Policy - Master of Science (M.S.), Public Policy and Management 2003 - 2005
• Capital University of Economics and Business - Master of Economics, Software Process Improvement and CMMM
• Yanshan University - Bachelor of Engineering, Computer Science

Teaching Interests

Database management and SQL for analytics, data driven decision making, data visualization for business.

Research Interests

Haijing's research interests include technology adoption, online health communities/online doctor reviews, econometrical modeling, Bayesian learning models, and text mining. She has published in Information Systems Research (ISR), Journal of Medical Internet Research (JMIR), International Journal of Medical Informatics, International Journal of Public Health, Electronic Commerce Research, IEEE Transactions on Engineering Management etc. She was quoted by The Economist magazine, July 2014 on online doctor reviews in China.

Awards and Honors

• 2022, PI Health Thought Leadership Network Seed Funding: Examining the Elderly’s Digital Technology Competence to Survive the COVID-19 Pandemic, Bentley University
• 2022, Co-PI FAC Fall Research Grant: Analysis of Emotions and User Contribution in Online Cancer Communities, Bentley University
• 2021, PI FAC Summer Research Grant: Text mining Medical Error Reports, Bentley University
• 2020, Grace Hopper Celebration Faculty Scholarship 2020, GHC Scholarships Program, AnitaB.org
• 2020, PI Health Thought Leadership Network Seed Funding: Understanding the Research and Policy Landscape related to Healthcare for the Homeless, Bentley University
• 2013, The William W. Cooper Doctoral Dissertation Award, Carnegie Mellon University
• 2011, Best Student Paper Award, Workshop on Health IT and Economics, Washington, DC.
• 2011, Selected Fellow of Doctoral Internationalization Consortium in Information Systems, Foster School, University of Washington, Seattle, WA.
• 2011, Selected Fellow of 5th Doctoral Consortium on Sociotechnical Issues in Medical Informatics, The American Medical Informatics Association
• 2010, Outstanding Teaching Assistant Award, Carnegie Mellon University
• 2004, William Cooper Scholarship, Heinz School, Carnegie Mellon University
• 2003, William Cooper Scholarship, Heinz School, Carnegie Mellon University

Publications

Journal Articles

• Liu, Y., Hao, H., Sharma, M., Harris, Y., Scofi, J., Trepp, R., Farmer, B., Ancker, J., Zhang, Y. (2022). Clinician Acceptance of Order Sets for Pain Management: A Survey in Two Urban Hospitals. Applied Clinical Informatics. 13(02) 447-455. (Link)
• Hao, H., Garfield, M., Purao, S. (2022). The Determinants of Length of Homeless Shelter Stays: Evidence-Based Regression Analyses. International Journal of Public Health. (Link)
• Yuan, X., Hao, H., Guan, C., Pentland, A. (2022). Which factors affect the performance of technology business incubators in China? An entrepreneurial ecosystem perspective. PLOS ONE. (Link)
• Purao, S. R., Hao, H., Meng, C. (2021). The Use of Smart Home Speakers by the Elderly: Exploratory Analyses and Potential for Big Data. Big Data Research. (Link)
• Zhang, W., Xu, W., Hao, H., Zhu, D. (2020). Cost-sensitive multiple-instance learning method with dynamic transactional data for personal credit scoring. Expert Systems with Applications, (157) (Link)
• Hao, H., Levkoff, S., Wang, W., Zhang, Q., Chen, H., Zhu, D. (2020). Studying Online Support for Caregivers of Patients with Alzheimer’s Disease in China: A Text-mining Approach to Online forum in China. International Journal of Healthcare Information Systems and Informatics, (2020) 4 (Link)
• Soltanisehat, L., Alizadeh, R., Hao, H., Choo, K. R. (2020). Technical, Temporal, and Spatial Research Challenges and Opportunities in Blockchain-Based Healthcare: A Systematic Literature Review. IEEE Transactions on Engineering Management, (2020) Sept. 1-16. (Link)
• Hao, H., Padman, R., Sun, B., Telang, R. (2019). Modeling social learning on consumers' long-term usage of a mobile technology: a Bayesian estimation of a Bayesian learning model. Electronic Commerce Research, (19) 1-12.
• Zhang, T., Zhang, W., Xu, W., Hao, H. (2018). Multiple instance learning for credit risk assessment with transaction data. Knowledge-Based Systems, (161) 65-77 (Link)
• Hao, H., Padman, R. (2018). An empirical study of opinion leader effects on mobile technology implementation by physicians in an American community health system. Health Informatics Journal, (24) 3 323-333. (Link)
• Hao, H., Padman, R., Sun, B., Telang, R. (2018). Quantifying the Impact of Social Influence on the Information Technology Implementation Process by Physicians: A Hierarchical Bayesian Learning Approach. Information Systems Research, (29) 1 25-41. (Link)
• Hao, H., Zhang, K., Wang, W., Gao, G. (2017). A tale of two countries: International comparison of online doctor reviews between China and the United States. International Journal of Medical Informatics, (99) 37-44. (Link)
• Hao, H., Zhang, K. (2016). The Online Voice of Health Consumers in China: A Text Mining Approach to Online Doctor Reviews. Journal of Medical Internet Research. (Link)
• Hao, H. (2015). The Development of Online Doctor Reviews in China: An Analysis of the Largest Online Doctor Review Website in China. Journal of Medical Internet Research. (Link)
• Caulkins, J., Hao, H. (2008). Modelling drug market supply disruptions: Where do all the drugs not go?. Journal of Policy Modeling, (30) 2 251-270.

Books

• Zhan, J., Hao, H., Li, X. (2003). eGov: eBusiness Strategies for Government (translation). China Machine Press
• Yang, Y., Hao, H. (2002). Software Project Management and CMM. People’s Posts and Telecom Press, China
• Yang, Y., Hao, H., , . (2001). CMM Methods and Applications. People’s Posts and Telecom Press, China