Mahed Maddah, PhD

Biography

Dr. Mahed Maddah’s research interests include data quality, user-generated content, health informatics, health information exchange, and design science research. His research lies at the intersection of Information Systems, Artificial Intelligence, and digital health, examining how individuals and organizations create, evaluate, and act upon information in digitally mediated environments, with a particular emphasis on trust and decision-making.

Dr. Maddah’s work has been published in leading journals such as MIS Quarterly, International Journal of Medical Informatics, Information Systems Management, Computers in Human Behavior: Artificial Humans, and Scandinavian Journal of Information Systems, as well as top information systems and business conferences. His 2019 MIS Quarterly paper was selected as the Journal’s Paper of the Year and received the AIS College of Senior Scholars’ Best Information Systems Publications Award.

Honors and Recognitions

• Sawyer Business School, Immersive Learning Teaching Award, 2023 & 2024
• Sawyer Business School, Research Grant, 2023, 2024 & 2025
• CTSE, Thank-A-Prof recognition, 2023
• Awarded MISQ Paper of the Year, 2019
• Best Information Systems (IS) Publications Award by the AIS College of Senior Scholars, 2019

Recent Intellectual Contributions

Maddah, M., Mirzaei, T., & Aguirre-Urreta, M. (2025). Navigating mobile device heightened use: an integrated model to assess mobile user engagement. Journal of Systems and Information Technology, 27(3), 365-392.

Esmaeilzadeh, P., Maddah, M., & Mirzaei, T. (2025). Using AI chatbots (eg, CHATGPT) in seeking health-related information online: The case of a common ailment. Computers in Human Behavior: Artificial Humans, 3, 100127.

Hasavari, S., Maddah, M., & Esmaeilzadeh, P. (2025). Government oversight and institutional influence: Exploring the dynamics of individual adoption of spot bitcoin ETPs. Journal of Risk and Financial Management, 18(4), 175.

Esmaeilzadeh, P., & Maddah, M. (2024). Robotic companions and healthy aging: A mixed-methods exploration of older adults' perspectives and insights. Technology in Society, 78, 102689.

Maddah, M., Esmaeilzadeh, P., & Mirzaei, T. (2024). An experimental study to examine relationships between IT identity and users’ post-adoption behaviors for different types of health applications. Information Systems Management, 41(3), 238-264.

Maddah, M., & Esmaeilzadeh, P. (2023). Lying in online social networks: A bug or a feature. Journal of Information, Communication and Ethics in Society, 21(4), 438-451.

Maddah, M., Lukyanenko, R., VanderMeer, D., & Samuel, B. (2020, January). Data collection interfaces in online communities: The impact of data structuredness and nature of shared content on perceived information quality. In Proceedings of the 53rd Hawaii International Conference on System Sciences.

Esmaeilzadeh, P., Mirzaei, T., & Maddah, M. (2020). The effects of data entry structure on patients’ perceptions of information quality in Health Information Exchange (HIE). International journal of medical informatics, 135, 104058.

Lukyanenko, R., Parsons, J., Wiersma, Y. F., & Maddah, M. (2019). Expecting the unexpected: Effects of data collection design choices on the quality of crowdsourced user-generated content. MIS Quarterly, 43(2), 623-648.

Lukyanenko, R., Parsons, J., Wiersma, Y. F., Sieber, R., & Maddah, M. (2016). Participatory design for user-generated content: Understanding the challenges and moving forward. Scand. J. Inf. Syst., 28(1), 2.