Category Archives: Research Examples

Graphene enterprise: mapping innovation and business development in a strategic emerging technology

This paper explores enterprise development and commercialization in the field of graphene. Firm characteristics and relationships, value chain positioning, and factors associated with product entry are examined for a set of 65 graphene-oriented small and medium-sized enterprises located in 16 different countries. As well as secondary sources and bibliometric methods to profile developments in graphene, we use computerized data mining and analytical techniques, including cluster and regression modeling, to identify patterns from publicly available online information on enterprise web sites. We identify groups of graphene small and medium-sized enterprises differentiated by how they are involved with graphene, the materials they target, whether they make equipment, and their orientation toward science and intellectual property. In general, access to finance and the firms’ location are significant factors that are associated with graphene product introductions. We also find that patents and scientific publications are not statistically significant predictors of product development in our sample of graphene enterprises. We further identify a cohort of graphene-oriented firms that are signaling plans to develop intermediate graphene products that should have higher value in the marketplace. Our findings suggest that policy needs to ensure attention to the introduction and scale-up of downstream intermediate and final graphene products and associated financial, intermediary, and market identification support. The paper demonstrates novel data methods that can be combined with existing information for real-time intelligence to understand and map enterprise development and commercialization in a rapidly emerging and growing new technology.

for full-text, http://link.springer.com/article/10.1007/s11051-016-3572-1

Author(s): Philip Shapira, Abdullah Gök, Fatemeh Salehi
Organization(s): Manchester Institute of Innovation Research (University of Manchester)
Source: Journal of Nanoparticle Research
Year: 2016

Lessons from Ten Years of Nanotechnology Bibliometric Analysis

This paper summarizes the 10-year experiences of the Program in Science, Technology, and Innovation Policy (STIP) at Georgia Institute of Technology (Georgia Tech) in support of the Center for Nanotechnology in Society at Arizona State University (CNS-ASU) in understanding, characterizing, and conveying the development of nanotechnology research and application. This work was labeled “Research and Innovation Systems Assessment” or (RISA) by CNS-ASU.

RISA concentrates on identifying and documenting quantifiable aspects of nanotechnology, including academic, commercial/industrial, and government nanoscience and nanotechnology (nanotechnologies) activity, research, and projects. RISA at CNS-ASU engaged in the first systematic attempt of its kind to define, characterize, and track a field of science and technology. A key element to RISA was the creation of a replicable approach to bibliometrically defining nanotechnology. Researchers in STIP, and beyond, could then query the resulting datasets to address topical areas ranging from basic country and regional concentrations of publications and patents, to findings about social science literature, environmental, health, and safety research and usage, to study corporate entry into nanotechnology, and to explore application areas as special interests arose. Key features of the success of the program include:

  • Having access to “large-scale” R&D abstract datasets
  • Analytical software
  • A portfolio that balances innovative long-term projects, such as webscraping to understand nanotechnology developments in small and medium-sized companies, with research characterizing the emergence of nanotechnology that more readily produces articles
  • Relationships with diverse networks of scholars and companies working in the nanotechnology science and social science domains
  • An influx of visiting researchers
  • A strong core of students with social science, as well as some programming background
  • A well-equipped facility and management by the principals through weekly problem-solving meetings, mini-deadlines, and the production journal articles rather than thick final reports.

https://smartech.gatech.edu/handle/1853/55931?show=full

Author(s): Jan Youtie, Alan Porter, Philip Shapira, Nils Newman
Organization: Georgia Institute of Technology
Source: OECD Blue Sky Forum on Science and Innovation Indicators
Year: 2016

A bibliometric analysis of 50 years of worldwide research on statistical process control

An increasing number of papers on statistical process control (SPC) has emerged in the last fifty years, especially in the last fifteen years. This may be attributed to the increased global competitiveness generated by innovation and the continuous improvement of products and processes. In this sense, SPC has a fundamentally important role in quality and production systems. The research in this paper considers the context of technological improvement and innovation of products and processes to increase corporate competitiveness. There are several other statistical technics and tools for assisting continuous improvement and innovation of products and processes but, despite the limitations in their use in the improvement projects, there is growing concern about the use of SPC. A gap between the SPC technics taught in engineering courses and their practical applications to industrial problems is observed in empirical research; thus, it is important to understand what has been done and identify the trends in SPC research. The bibliometric study in this paper is proposed in this direction and uses the Web of Science (WoS) database. Data analysis indicates that there was a growth rate of more than 90% in the number of publications on SPC after 1990. Our results reveal the countries where these publications have come from, the authors with the highest number of papers and their networks. Main sources of publications are also identified; it is observed that the publications of SPC papers are concentrated in some of the international research journals, not necessarily those with the major high-impact factors. Furthermore, the papers are focused on industrial engineering, operations research and management science fields. The most common term found in the papers was cumulative sum control charts, but new topics have emerged and have been researched in the past ten years, such as multivariate methods for process monitoring and nonparametric methods.

http://www.scielo.br/scielo.php?pid=S0104-530X2016005013101&script=sci_arttext&tlng=en

Author(s): Fabiane Letícia Lizarelli, Nayara Cristini Bessi, Pedro Carlos Oprime , Roniberto Morato do Amaral, Subhabrata Chakraborti
Organization(s): Universidade Federal de São Carlos – UFSCar
Source: Gestão & Produção
Year: 2016

Case study of patents related to captopril, Squibb’s first blockbuster

Arterial hypertension affects over one billion people around the world, making the prevention and treatment of this disease vital. Despite the efforts made to develop new antihypertensive drugs, few new therapies have become available. Angiotensin-converting enzyme (ACE) inhibitors have heralded major steps forward in the treatment of arterial hypertension and cardiovascular diseases since the first compound of this class, captopril, was approved for clinical use in 1981.

In this review, the authors investigated the patent documents that cite the priority patent for captopril, Squibb’s first blockbuster, or any other patent from its patent family. The documents were classified into the following: new compounds, new compositions, treatment, process (preparation of a compound), use of a compound, and process for the preparation of an intermediate. Therefore, the readers can identify potential innovations in the field.

The pharmaceutical sector has attempted to provide significant technological developments on anti-hypertensive drugs based on the patenting of captopril, including the development of new compositions further comprising an ACE inhibitor and other antihypertensive agent, along with dual action compounds, novel molecules with dual activity. The target is to find a new agent with better blood pressure-lowering efficacy, improved safety and good tolerability profile.

http://www.tandfonline.com/doi/abs/10.1080/13543776.2016.1227321

Author(s): Adelaide Maria de Souza Antunes, Rafaela Di Sabato Guerrante, Jorge de Paula Costa Ávila, Flavia Maria Lins Mendes
Organization(s): Federal University of Rio de Janeiro (UFRJ)/National Institute of Industrial Property (INPI-Brazil)
Source: Expert Opinion on Therapeutic Patents
Year: 2016

Xylose utilization in ethanol production: a patent landscape

Bioethanol is considered as one of the best alternatives to fossil fuels as unwanted biomass is converted into fuel ethanol. As there is increasing demand for fuel ethanol, researchers have started looking for some better ways to produce ethanol. In light of the present scenario, we have attempted to develop a global patent landscape view of xylose utilization in ethanol production. Our country-specific patent analysis has revealed that most of the research on xylose-utilizing ethanol production is carried out in the USA followed by China and Sweden. Moreover, it has been found that more patent applications/grants have been claimed for processes, followed by recombinant strains. Patent publication trends for genes and enzymes have shown that most of the research is focused on the xylA gene and xylulokinase. Assignee patenting trends suggest that Du Pont is the major player in xylose-utilizing ethanol production research. Additionally, analysis based on micro-organisms used in xylose-utilizing ethanol production revealed that most of the research has been performed using Saccharomyces cerevisiae to enhance the ethanol yields.
http://onlinelibrary.wiley.com/doi/10.1002/bbb.1664/full

Author(s): Pratap Devarapalli, Nishad Deshpande, Rajkumar R Hirwani
Organization(s): CSIR-Unit for Research and Development of Information Products
Source: Biofuels, Bioproducts and Biorefining
Year: 2016

Intangible Heritage and Gastronomy: The Impact of UNESCO Gastronomy Elements

The objective of this study is two-fold: on the one hand, to determine whether literature has studied the relationship between intangible heritage and gastronomy; on the other, we have explored the use of UNESCO-recognized elements for marketing purposes. Two research questions have been addressed: (a) Is there a specific definition of gastronomy as intangible heritage? and (b) can the UNESCO-recognized elements be used for marketing purposes? We have used a method that combines content analysis and network analysis via the identification and study of keywords. The results showed a definition of gastronomy as intangible world heritage would be required. We have also observed that the use of the UNESCO-recognized elements, for marketing purposes, could be an opportunity for differentiating place’s identity.

http://www.tandfonline.com/doi/abs/10.1080/15428052.2015.1129008

Author(s): María de Miguel Molina, Blanca de Miguel Molina, Virginia Santamarina Campos, María del Val Segarra Oña
Organization: Universitat Politecnica de Valencia
Source: Journal of Culinary Science & Technology
Year: 2016

A methodology for technology trend monitoring: the case of semantic technologies

This paper introduces a systematic technology trend monitoring (TTM) methodology based on an analysis of bibliometric data. Among the key premises for developing a methodology are: (1) the increasing number of data sources addressing different phases of the STI development, and thus requiring a more holistic and integrated analysis; (2) the need for more customized clustering approaches particularly for the purpose of identifying trends; and (3) augmenting the policy impact of trends through gathering future-oriented intelligence on emerging developments and potential disruptive changes. Thus, the TTM methodology developed combines and jointly analyzes different datasets to gain intelligence to cover different phases of the technological evolution starting from the ‘emergence’ of a technology towards ‘supporting’ and ‘solution’ applications and more ‘practical’ business and market-oriented uses. Furthermore, the study presents a new algorithm for data clustering in order to overcome the weaknesses of readily available clusterization tools for the purpose of identifying technology trends. The present study places the TTM activities into a wider policy context to make use of the outcomes for the purpose of Science, Technology and Innovation policy formulation, and R&D strategy making processes. The methodology developed is demonstrated in the domain of “semantic technologies”.
http://link.springer.com/article/10.1007/s11192-016-2024-0

Author(s): Oleg Ena, Nadezhda Mikova, Ozcan Saritas, Anna Sokolova
Organization(s): National Research University Higher School of Economics
Source: Scientometrics
Year: 2016

Inequalities in scholarly knowledge: Public value failures and their impact on global science

There is a growing body of literature that acknowledges the overall trends in publication patterns in the least economically advantaged countries. The pattern shows that there are disparities between the Global North and Global South with regard to indexed publication output. Few studies, however, empirically assess the impact that this systematic disparity has on global scientific knowledge. This paper examines this systematic disparity by (1) analysing the co-authorship patterns of the least economically advantaged countries using bibliometric analysis of the Web of Science ISI database, and (2) applying the public-value failure mapping tool to identify potential failures in the scientific scholarship. Our analysis provides strong evidence of public value failures in global scholarly publication output. The paper contributes to the science policy and public value failure literatures using novel theoretical and methodological approaches to explore issues of equity and inequality in global science.

http://www.tandfonline.com/doi/abs/10.1080/20421338.2016.1147204

Author(s): Thema Monroe-White and Thomas S. Woodson
Organization(s): Stony Brook University
Source: African Journal of Science, Technology, Innovation and Development
Year: 2016

Early social science research about Big Data

Recent emerging technology policies seek to diminish negative impacts while equitably and responsibly accruing and distributing benefits. Social scientists play a role in these policies, but relatively little quantitative research has been undertaken to study how social scientists inform the assessment of emerging technologies. This paper addresses this gap by examining social science research on ‘Big Data’, an emerging technology of wide interest. This paper analyzes a dataset of fields extracted from 488 social science and humanities papers written about Big Data. Our focus is on understanding the multi-dimensional nature of societal assessment by examining the references upon which these papers draw. We find that eight sub-literatures are important in framing social science research about Big Data. These results indicate that the field is evolving from general sociological considerations toward applications issues and privacy concerns. Implications for science policy and technology assessment of societal implications are discussed.

http://spp.oxfordjournals.org/content/early/2016/06/23/scipol.scw021.abstract

Author(s): Jan Youtie, Alan L. Porter and Ying Huang
Organization(s): Georgia Institute of Technology, Beijing Institute of Technology
Source: Science and Public Policy
Year:
2016

Leveraging patent landscape analysis and IP competitive intelligence for competitive advantage

Patent landscape and the accompanying IP competitive intelligence involves understanding and anticipating the competitive environment within which a company operates. More specifically, IP competitive intelligence highlights emerging IP risks, provides patent portfolio benchmarking, monitors competitor technology development efforts, and predicts commercialization of technology.

This paper provides a framework for patent landscape and IP competitive intelligence as driven by strategic intent. This paper advocates the benefits of both “quantitative” statistical analysis and “qualitative” human intelligence for IP competitive intelligence. Moreover, this paper defines four Levels of IP analysis with pruned examples for effective competitive intelligence.

http://www.sciencedirect.com/science/article/pii/S0172219016000193

Author: Yateen R. Pargaonkar
Organization: Chevron Energy Technology Company
Source: World Patent Information
Year: 2016