The BIT faculty actively engage in research on security and privacy issues facing businesses and society. Research in this area includes studying, how GDPR consent requirements affect business performance, how the way consent choices are presented affect privacy decisions, whether security fear appeals are effective if they interrupt tasks, how multilevel privacy decisions are made, and how to predict users’ susceptibility to phishing, among other topics.
Venkatesh, V. (2022). Adoption and use of AI tools: A research agenda grounded in UTAUT. Annals of Operations Research, 308(1-2), 641-652.
Schuetz, S., & Venkatesh, V. (2020). The rise of human machines: How cognitive computing systems challenge assumptions of user-system interaction. Journal of the Association for Information Systems, 21(2), 460-482.
Zhang, M., Wang, L., Li, Y., & Wang, G. A. (2022). C2C interaction in the online review system: Effect of other customers’ responses on subsequent review volume. Tourism Management, 93, 104622.
Liu, X., Wang, G. A., Fan, W., & Zhang, Z. (2020). Finding useful solutions in online knowledge communities: A theory-driven design and multilevel analysis. Information Systems Research, 31(3), 731-752.
Gruss, R., Abrahams, A. S., Fan, W., & Wang, G. A. (2018). By the numbers: The magic of numerical intelligence in text analytic systems. Decision Support Systems, 113, 86-98.
Goldberg, D. M., Khan, S., Zaman, N., Gruss, R. J., & Abrahams, A. S. (2022). Text mining approaches for postmarket food safety surveillance using online media. Risk Analysis, 42(8), 1749-1768.
Goldberg, D. M., & Abrahams, A. S. (2022). Sourcing product innovation intelligence from online reviews. Decision Support Systems, 157, 113751.
Zaman, N., Goldberg, D. M., Abrahams, A. S., & Essig, R. A. (2021). Facebook hospital reviews: automated service quality detection and relationships with patient satisfaction. Decision Sciences, 52(6), 1403-1431.
Şeref, O., Fan, Y. J., Borenstein, E., & Chaovalitwongse, W. A. (2018). Information-theoretic feature selection with discrete k-median clustering. Annals of Operations Research, 263(1-2), 93-118.