Travis Horsley

This study will discuss the quantifiable data that can be gathered from publically available web sources regarding the innovation pathway of Small and Medium Size Enterprises (SMEs) within the Green Goods and Services (GGS) sector. A series of 50 publically available SMEs within the green goods industry in the United States will be chosen. Of particular interest is an understanding of the innovation pathways of these green firms based on their external relationships overtime alongside metrics measuring for the control variables in this ecosystem (type of industry, business size, growth per year, year of establishment, etc.). Of equal importance is an understanding of the outputs of the SME, and in particular on how the firm can go about integrating more green products into its product line. Knowledge of the innovation processes taken by firms to arrive at the fabrication of green goods will allow for a shift in industry-wide thinking on how the private sector can target their products in such a way that it can mitigate climate change, excess waste, and pollution.
A current look at a variety of websites for GGS manufacturers in the United States show that the production and manufacturing of "green" products is a trend that will continue to increase into the near future. These SMEs do not produce their widgets in a vacuum. As such, of interest is to know how external actors (government via policy, consumer/clients via purchasing choice, financial institutions, etc.) have prompted internal change over the lifespan of a company as to shift and/or grow a company’s green goods offering. Because no firm is the same in their innovation pathway, this paper will attempt to answer the following questions: Do similarities in innovation pathways exist between firms in the green goods industry? Does the presence of an external partner affect the innovation pathway, and ultimately product pipeline of a green goods firm?

Haiti is the poorest country in the western hemisphere. After the 2010 earthquake, much of the infrastructure in the capital area was destroyed, including many hospitals and clincics. The paper-based records stored within were destroyed. Many tent-hospitals staffed by international volunteers had to treat trauma patients without any sort of medical record. An electronics health record (EHR) system could have maintained records for use in this crisis. This paper analyzes several EHR systems that have been implemented in the past in countries with HDI similar to Haiti, develops a typology for analyzing these systems, and proposes a path toward implementing a new EHR system.

The T2P framework is designed to forecast potential public policy implications of emerging technologies using known policy outcomes of preceding and analogous technologies. The purpose of this T2P case study is to forecast the potential policy outcomes of targeted nanovector chemotherapy by examining the policy outcomes of the preceding technology, traditional chemotherapy, and four analogous technologies: beneficial insect pest control, antibiotics, Six Sigma and computer virus removal software. The case study will show the step by step analysis of the technology using the T2P framework. It will begin with a brief background on the history and applications of targeted nanovector chemotherapy, then it will review the assumptions of the T2P framework in general and assumptions that were made in this particular analysis, and finally it will review the properties analysis of the emerging, preceding, and analogous technologies, and explain why these technologies are relevant for forecasting the public policy outcomes of targeted nanovector chemotherapy.

This paper presents results from a pilot study of small and medium-sized enterprises (SMEs) based on a web-scraping and content analysis of current and archived nanotechnology enterprise web sites. We use this approach to explore nanotechnology SMEs transitions from discovery to commercialization and understand how transitions vary by SME characteristics, technology and market sectors. Our findings suggest that although the idealized linear innovation model is present, important instances of divergence exist. Cluster analysis uncovered sectoral differences but even more distinctions based on the age, funding source, and research intensity.