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Full-Text Articles in Engineering
Supporting Sustainable Technology Cluster Development: A Performance Measurement Problem, Elizabeth Gibson
Supporting Sustainable Technology Cluster Development: A Performance Measurement Problem, Elizabeth Gibson
Engineering and Technology Management Faculty Publications and Presentations
Managers require metrics to measure organizational performance. However, metrics used by organizations that support technology cluster development are poorly understood in the literature. The most frequently referenced indicator for cluster development is regional economic and jobs data. These macro level indicators are not sufficient to measure the performance inside the cluster, leaving champions and policy makers to struggle with ad-hoc trial and error experimentation. The difficulty in defining and developing a performance measurement system is addressed. This paper lays the groundwork for improved approaches towards measuring the performance of technology cluster initiatives.
Siting A Wind Farm In Oregon: Considering A Hierarchical Decision Model With Four Scenarios, Diane Yates
Siting A Wind Farm In Oregon: Considering A Hierarchical Decision Model With Four Scenarios, Diane Yates
Engineering and Technology Management Faculty Publications and Presentations
This paper primarily serves two purposes: first, it looks to develop a methodology that takes scenarios and certain hard-to-measure intangibles such as politics, social impact, and even religion; as well as more tangible and measurable variables such as environmental impacts, cost and types of materials, storage and wind turbine technologies, to name a few, that then could be used as input to a decision-making model on where to build a wind farm. The hierarchical decision model (HDM) then analyzes these variables, based on an independent judging panel, in order to come up with a recommendation for the best site on …
Assessing Emerging Automotive Technologies For The Future, Aurobindh Kalathil Puthanpura, Rafaa Khalifa, Leong Chan
Assessing Emerging Automotive Technologies For The Future, Aurobindh Kalathil Puthanpura, Rafaa Khalifa, Leong Chan
Engineering and Technology Management Faculty Publications and Presentations
A scenario-based multi-attribute decision-making (MADM) methodology has been developed and applied for the selection of automotive technology. The present study discusses, what are the problems for the current automotive technologies are, what requirements are outlined in the literatures and government guidelines/publications, considering different aspects of technological needs, public needs, policy measures etc. A set of criteria are developed, which cover multiple perspectives; reflecting the diverse stakeholders in the technology assessment, acquisition and adoption, in this case the government, the general public which includes drivers and pedestrians, automobile manufacturers. Three emerging technologies (Vehicle-to-Vehicle communication, Vehicle-to- Infrastructure and Full autonomous) were identified …