Pathways From Discovery To Commercialization: Using Web Sources To Track Small And Medium-Sized Enterprise Strategies In Emerging Nanotechnologies, Jan Youtie, Diana Hicks, Philip Shapira, Travis Horsely
Oct 2012
Pathways From Discovery To Commercialization: Using Web Sources To Track Small And Medium-Sized Enterprise Strategies In Emerging Nanotechnologies, Jan Youtie, Diana Hicks, Philip Shapira, Travis Horsely
Diana Hicks
There is a growing need for fresh and systematic evidence about company innovation in emerging technologies such as nanotechnology. It is particularly important to track shifts from discovery to commercialization at the later stages of the innovation process, where diverse product and financial strategies may be pursued. This paper presents results from a pilot study of 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 novel approach to explore nanotechnology SMEs transitions from discovery to commercialization and understand how transitions vary by SME characteristics, technology …
A Boosted-Trees Method For Name Disambiguation, Jian Wang, Kaspars Berzins, Diana Hicks, Julia Melkers, Fang Xiao, Diogo Pinheiro
Jan 2012
A Boosted-Trees Method For Name Disambiguation, Jian Wang, Kaspars Berzins, Diana Hicks, Julia Melkers, Fang Xiao, Diogo Pinheiro
Diana Hicks
This paper proposes a method for classifying true papers of a set of focal scientists and false papers of homonymous authors in bibliometric research processes. It directly addresses the issue of identifying papers that are not associated (“false”) with a given author. The proposed method has four steps: name and affiliation filtering, similarity score construction, author screening, and boosted trees classification. In this methodological paper we calculate error rates for our technique. Therefore, we needed to ascertain the correct attribution of each paper. To do this we constructed a small dataset of 4,253 papers allegedly belonging to a random sample …
Performance-Based University Research Funding Systems, Diana Hicks
Dec 2011
Performance-Based University Research Funding Systems, Diana Hicks
Diana Hicks
The university research environment has been undergoing profound change in recent decades and performance-based research funding systems (PRFSs) are one of the many novelties introduced. This paper seeks to find general lessons in the accumulated experience with PRFSs that can serve to enrich our understanding of how research policy and innovation systems are evolving. The paper also links the PRFS experience with the public management literature, particularly new public management, and understanding of public sector performance evaluation systems. PRFSs were found to be complex, dynamic systems, balancing peer review and metrics, accommodating differences between fields, and involving lengthy consultation with …
Powerful Numbers Or A Short Reflection On Influential Analyses In The History Of Science Of Science Policy, Diana Hicks
Dec 2011
Powerful Numbers Or A Short Reflection On Influential Analyses In The History Of Science Of Science Policy, Diana Hicks
Diana Hicks
The quantitative analysis of issues relevant to science policy has a history dating back several decades. Over that time, there have been occasions in which scholarly analyses have escaped from the ivory tower and made an impact on policy discussions or on policy itself. In this paper, I review some of these occasions, looking at what type of analyses were used, who used such analyses, and for what purposes.
Bibliometrics As A Tool For Research Evaluation, Diana Hicks, Julia Melkers
Dec 2011
Bibliometrics As A Tool For Research Evaluation, Diana Hicks, Julia Melkers
Diana Hicks
Creative use of bibliometric analysis in evaluation offers an unparalleled opportunity to take advantage of the rich information embedded in the written products of scientific work to track the output and influence of funded scholars. Many metrics and techniques have been developed: from publication and citation counts to percentile rankings, h-index, impact factor, maps of the knowledge landscape, maps of geographical distribution, and metrics of interdisciplinarity and specialization. Analysis can demonstrate evolution over long periods of time, and can draw quantitative comparisons among subgroups or with others anywhere in the world. It would be dangerous to consider such data and …
