ETM Faculty Research
Research at ETM provides a link between engineering, science, and management disciplines. It results in theory, methods, and actionable recommendations that help organizations achieve strategic and operational objectives through technology.
Research groups are organized by full-time faculty, who each bring unique expertise and interests to their group. Ph.D. students and MS students, who are working on their capstone, choose the research advisor who best fits their interests. View the Student Research page for more information.
Extreme Technology Analytics (ETA) - Dr. Timothy R. Anderson
Extreme Technology Analytics (ETA) develops new methodologies for solving technology problems through data analytics. It incorporates new approaches in open-source analysis tools, and applies them to diverse application areas. Among others, the team developed TFDEA (Technology Forecasting – DEA) to forecast future capabilities of emerging technology, e.g. in military aviation and microprocessor technology.
Technology Evaluation - Dr. Tugrul U. Daim
Dr. Daim’s research group helps companies and other organizations in technology-based industries identify current and future technology needs, implement plans to meet those needs, and steer their R&D in the right direction. The research group develops and applies strategic tools, such as technology roadmaps (TRMs), structured decision-processes for technology assessment, and scenario planning. This work benefits diverse organizations, including utilities, transportation infrastructure providers, and health care organizations.
Cognition and Innovation - Dr. Antonie J. M. Jetter
Dr. Jetter’s research group works to understand innovation through the lens of cognition - how people share their knowledge, combine it in novel ways, change their perspective, and learn from experimentation. The team creates tools and models that aid human cognition so that individuals, teams, and communities can solve "wicked" problems. Much of the work uses Fuzzy Cognitive Mapping (FCM) to help the team collect, research, and modify the mental models of experts and laypeople. The work occurs in collaboration with different industries, including offshore oil and gas, wearable devices, and natural resource management.
Knowledge, Learning, Intellectual Capital (KLIC) - Dr. Charles M. Weber
Knowledge, Learning, Intellectual Capital (KLIC) research investigates how the lifeblood of the technology industry - organizational knowledge - is created and applied. Dr. Weber’s team seeks to understand how different types of knowledge are created and how they contribute to value creation, when and how these types of knowledge come together to lead to radical performance improvements, and how the value of knowledge can be used to build competitive advantage. Dr. Weber’s team uses diverse qualitative and quantitative research techniques, including interviews, social network analysis, cognitive mapping, and surveys to research organizational learning in networks of companies and individuals.