Maseeh College of Engineering and Computer Science

Technology managers meeting

Engineering Technology Management Research

Engineering Technology Management is for engineers or scientists ready for the next career step. Our programs prepare graduates for leadership at the intersection of management and technology. ETM's experienced instructors build on returning students' backgrounds in engineering and technology, teaching business fundamentals, adaptability, and the skills to collaborate effectively with non-technical colleagues. Develop competencies in business, project and product management, and leadership in flexible programs designed for working professionals.

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.

Find out more about Dr. Anderson's research on PDXScholar.

Contact Dr. Anderson | Dr. Anderson's Research Website

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.

Find out more about Dr. Daim's research on PDXScholar.

Contact Dr. Daim  |  Dr. Daim's Research Website

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.

Find out more about Dr. Jetter's research on PDXScholar.

Contact Dr. Jetter  |  Dr. Jetter's Research Website

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.

Find out more about Dr. Weber's research on PDXScholar.

Contact Dr. Weber