Lecturer | Operations and Information Management
3525 Grainger Hall
(608) 263-1664
Biography
Michael Hernke is a Lecturer at the Wisconsin School of Business and an affiliate of the Nelson Institute for Environmental Studies. He teaches Business Analytics, Sustainable Approaches to System Improvement, and the WSB Excel Proficiency Course. Michael earned an undergraduate degree in Marketing and a doctorate in Operations & Information Management, both from UW-Madison. His current research projects consider organizational approaches to global resource constraints, dynamics of micro to macro resource efficiency, and synergy between sustainability science and global health.
Research
Selected Published Journal Articles
Jacobson, T. & Kler, J. & Hernke, M. & Braun, R. & Meyer, K. & Funk, W. (2019). Direct human health risks of increased atmospheric carbon dioxide Nature Sustainability
Robèrt, K. & Hernke, M. & Fortney, L. & Podein, R. (2018). Systems thinking for global health and sustainable development Oxford Textbook of Nature and Public Health
Isil, O. & Hernke, M. (2017). The triple bottom line: a critical review from a transdisciplinary perspective Business Strategy and the Environment
Finster, M. & Hernke, M. (2014). Benefits organizations pursue when seeking competitive advantage by improving environmental performance Journal of Industrial Ecology
Hernke, M. & Podein, R. (2011). Sustainability, Health and Precautionary Perspectives on Lawn Pesticides, and Alternatives EcoHealth
Teaching
Undergraduate Courses
Sustainable Approaches to System Improvement (OTM 370), Summer 2019.
Business Analytics II (BUS 307), Spring 2018.
The course emphasizes hands on experience with many commonly used analytic methodologies using the modelling and optimization tools available on almost every professional desktop. The focus is predictive and prescriptive analytics. Predictive approaches u
Business Analytics II (BUS 307), Summer 2018.
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Business Analytics II (BUS 307), Fall 2018.
Emphasis on hands-on experience with many commonly used analytic methodologies using the modeling and optimization tools available on almost every professional desktop. The focus is predictive and prescriptive analytics. Predictive approaches use historic
Business Analytics II (BUS 307), Spring 2019.
Emphasis on hands-on experience with many commonly used analytic methodologies using the modeling and optimization tools available on almost every professional desktop. The focus is predictive and prescriptive analytics. Predictive approaches use historic
Graduate Courses
Eve MBA: Data to Decisions (BUS 765), Summer 2018.
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