SDG 3: Good Health & Well-Being - Ensure healthy lives and promote well-being for all at all ages
SDG 4: Quality Education - Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
SDG 5: Gender Equality - Achieve gender equality and empower all women and girls
SDG 8: Decent Work and Economic Growth - Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all
SDG 9: Industry, Innovation, and Infrastructure - Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
SDG 10: Reduced Inequalities - Reduce inequality within and among countries
SDG 16: Peace, Justice, and Strong Institutions - Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels
Professor Strong researches the most effective ways that businesses, nonprofits and healthcare organizations can use computing technologies such as database systems, electronic health records systems, and mobile apps.
Liu, Z., Agu, E., Pedersen, P., Lindsay, C., Tulu, B., & Strong, D. (2021). Comprehensive Assessment of Fine-Grained Wound Images Using a Patch-Based CNN With Context-Preserving Attention. IEEE open journal of engineering in medicine and biology, 2, 224-234.
Strong, D. M., Volkoff, O., Johnson, S. A., Pelletier, L. R., Tulu, B., Bar-On, I., ... & Garber, L. (2014). A theory of organization-EHR affordance actualization. Journal of the association for information systems, 15(2), 2.
Volkoff, O., & Strong, D. M. (2013). Critical realism and affordances: Theorizing IT-associated organizational change processes. MIS quarterly, 819-834.
Strong, D. M., & Volkoff, O. (2010). Understanding Organization—Enterprise system fit: A path to theorizing the information technology artifact. MIS quarterly, 731-756.
Volkoff, O., Strong, D. M., & Elmes, M. B. (2007). Technological embeddedness and organizational change. Organization science, 18(5), 832-848.
Lee, Y. W., Strong, D. M., Kahn, B. K., & Wang, R. Y. (2002). AIMQ: a methodology for information quality assessment. Information & management, 40(2), 133-146.
Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of management information systems, 12(4), 5-33.