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Faculty & Research

Information Management and Data Science

Home > Faculty & Research > Faculty Profile

  • Deng Zhaohua

    Professor

  • Subordinate unit

    Department of Information Management and Data Science

  • Research Interests

    E-health, Consumer Behavior, Risk Management

  • Telephone

    +86-27-87556482

    E-mail

    zh-deng@hust.edu.cn

Research Interests

E-health, Consumer Behavior, Risk Management

Selected Academic Service

Associated Editor of Data Science and Management

Editorial Board Members of BMC Medical Informatics and Decision Making

Representative Research Papers

1. How Patients with Chronic Disease Create Value in Online Health Communities? A Mixed Methods Study from Social Technical Perspective. Information Technology and Management. 2024

2. How the linguistic style of medical crowdfunding charitable appeal influences individuals’ donations. Technological Forecasting & Social Change,2024,203: 123394

3. Sharing information about medical crowdfunding projects on social networking sites: the integration of attribution-affect model of helping and social capital theory. Information Technology and People,2024, DOI:10.1108/ITP-02-2023-012

4. Why to purchase health knowledge on online platforms? A two-phased SEM-ANN approach. Behavior and Information Technology, 2024, DOI:10.1080/0144929X.2024.2344088

5. Self-disclosure, social support and postpartum depressive mood in online social networks: a social penetration theory perspective. Information Technology & People.2023,36(1)

6. Netizens' concerns during COVID-19: a topic evolution analysis of Chinese social media platforms. KYBERNETES，2023，DOI:10.1108/K-04-2023-0583

7. What predicts patients' satisfaction and continuous use of intelligent medical guidance? the moderating effect of consulting experience. Behavior and Information Technology, 2024, DOI: 10.1080/0144929X.2023.2272191

8. More is better？Understanding the effects of online interactions on patients’ health anxiety. Journal of the Association for Information Society and Technology. 2023; 74:1243–1264.

9. Why doctors participate in teams of online health communities? A social identity and brand resource perspective. Information Systems Frontiers. 2023 https://doi.org/10.1007/s10796-023-10434-1

10. Knowledge transfer between physicians from different geographical regions in China’s online health communities. Information Technology and Management,2023. https://doi.org/10.1007/s10799-023-00400-3

11. Patient distrust toward doctors in online health communities: integrating distrust construct model and social-technical systems theory. Information Technology and People. 2023,36 (4) :1414-1438

12. Doctors' Provision of Online Health Consultation Service and Patient Review Valence: Evidence from a Quasi-Experiment. Information & Management. 2022, 59 (5)

13. How online health community participation affects physicians’ performance in hospitals: Empirical evidence from China. Information & Management, 2021, 58 (6)

14. How Does Service Price Influence Patient’s Sequent Decisions in Online Health Communities? Electronic Markets, 2021,31 (4) , pp.877-893.

15. Why online medical teams disband? The role of team diversity and leadership type, Information Technology & People, 2021, 34 (3)：1175-1199

16. What patients “see” doctors online during Cov-2019 in Wuhan? Journal of the American Medical Informatics Association, 2020, 27(7): 1067-1071

17. Online Service qualities in the multistage process and patients’ compliments: a transaction cycle perspective. Information & Management. 2020, 57(5):103230.

18. How doctors take initiatives in online healthcare communities, Industrial Management & Data Systems, 2020,120(7): 1401-1420.

19. Knowledge Collaboration among Physicians in Online Health Communities: A Transactive Memory Perspective, International Journal of Information Management, 2019, 49:13-33

20. Health information in the digital age: An empirical study of the perceived benefits and costs of seeking and using health information from online sources, Health Information and Libraries Journal, 2019, 36(2):153-167

21. Using Electronic Health Records Data to Evaluate the Impact of Information Technology on Improving Health Equity: Evidence from China. Journal of Medical Systems. 2019, 43:176-184

22. Online Effort and Reputation of Physicians on Patients’ Choice: 3-Wave Data Analysis of China’s Good Doctor Website, Journal of Medical Internet Research,2019, 21(3): e10170

23. Seeking and using intention of health information from doctors in social media: The effect of doctor-consumer interaction, International Journal of Medical Informatics, 2018，115: 106~113

24. A machine learning based approach to identify protected health information in Chinese clinical text. International Journal of Medical Informatics, 2018，116 , 24-32

25. Unhappy Patients Are Not Alike: Content Analysis of the Negative Comments from China's Good Doctor Website. Journal of Medical Internet Research,2018, 20 (1)

26. Understanding consumer health information seeking behavior from the perspective of the risk perception attitude framework and social support in mobile social media websites, International Journal of Medical Informatics, 2017, 105: 98~109

27. Knowledge sharing motivations in online health communities: A comparative study of health professionals and normal users. Computers in Human Behavior. 2017, 75 ,797-810

28. Information technology resource, knowledge management capability, and competitive advantage: The moderating role of resource commitment, International Journal of Information Management, 2016, 36(6): 1062~1074

29. How Environment Risks Moderate the Effect of Control on Performance in Information Technology Projects: Perspectives of Project Managers and User Liaisons, International Journal of Information Management, 2015, 35(1): 80~87

30. Understanding knowledge management capability in business process outsourcing: a cluster analysis, Management Decision, 2015, 53(1): 124~138

31. The health information seeking and usage behavior intention of Chinese consumers through mobile phones, Information Technology and People, 2015, 28(2): 405~423

32. Comparison of the middle-aged and older users’ adoption of mobile health services in China, International Journal of Medical Informatics, 2014, 83(3): 210~224

33. Understanding public users’ adoption of mobile health service, International Journal of Mobile Communications, 2013, 11(4): 351~373

34. Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China, International Journal of Information Management, 2010, 30(4): 289~300

35. Exploring Factors Affecting Chinese Consumers, Usage of Mobile Short Message Service for Personal Communication, Information Systems Journal, 2010, 20(2): 183~208

Address: School of Management, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, Hubei Province, China