Category Archives: Uncategorized

A selected literature review on the changing role of stakeholders as value creators

The purpose of this paper is to investigate the changing role of stakeholders in value creation since the inception of literature on stakeholders and sustainability from 1984 and 1987, respectively until 2015 and to understand interrelationships among key terms of stakeholder and sustainability literature. We explore the changing role of stakeholders as a source of value creation through extensive literature review by adopting text mining approach. VantagePoint is the tool used to facilitate text mining literature of sustainability and stakeholder and related literature from 1984 to 2015.

Findings
This paper reveals that the major trends in firm’s approach towards stakeholders has changed over the years from demonstration of compliance in 1984-1994, safeguarding of reputation from 1994 to 2004, to finally co-creating value with stakeholders from the period of 2004-2014.

Research limitations/implications
There have been extensive literature reviews done on stakeholder and sustainability literature, but only few have studied the integration of stakeholder and sustainability literature. This paper has used a novel approach, i.e. VantagePoint software to analyse the sustainability and stakeholder literature.

Originality/value
The changing role of stakeholders as a value creator have provided new research avenues in value creation process. The emerging challenge that firms now face is to co-create sustainable value by engaging both internal and external stakeholders.

http://www.emeraldinsight.com/doi/abs/10.1108/WJSTSD-01-2016-0002

Author(s): Shridhar M Samant and Shirish Sangle
Organization(s): National Institute of Industrial Engineering
Source: World Journal of Science, Technology and Sustainable Development
Year: 2016

The study of systems and methods for scientometric analysis of scientific publications

This paper provides an overview of the methods and systems that are applied for scientometric analysis of scientific publications. Methods to identify promising research directions are described. The results of an experimental study aimed at determining the directions of scientific research within the subject area of “regenerative medicine” by using various methods are presented. Conclusions are made about the prospects and shortcomings of the applied methods. Directions for further research are proposed.

http://link.springer.com/article/10.3103/S0147688215050068

Author(s): A. V. Shvets, D. A. Devyatkin, I. V. Smirnov, I. A. Tikhomirov, K. V. Popov, K. N. Yarygin
Organization(s): Russian Academy of Sciences
Source: Scientific and Technical Information Processing
Year: 2015

Map of science with topic modeling: Comparison of unsupervised learning and human-assigned subject classification

The delineation of coordinates is fundamental for the cartography of science, and accurate and credible classification of scientific knowledge presents a persistent challenge in this regard. We present a map of Finnish science based on unsupervised-learning classification, and discuss the advantages and disadvantages of this approach vis-à-vis those generated by human reasoning. We conclude that from theoretical and practical perspectives there exist several challenges for human reasoning-based classification frameworks of scientific knowledge, as they typically try to fit new-to-the-world knowledge into historical models of scientific knowledge, and cannot easily be deployed for new large-scale data sets. Automated classification schemes, in contrast, generate classification models only from the available text corpus, thereby identifying credibly novel bodies of knowledge. They also lend themselves to versatile large-scale data analysis, and enable a range of Big Data possibilities. However, we also argue that it is neither possible nor fruitful to declare one or another method a superior approach in terms of realism to classify scientific knowledge, and we believe that the merits of each approach are dependent on the practical objectives of analysis.

Full-text available at http://onlinelibrary.wiley.com/doi/10.1002/asi.23596/full

Author(s): Arho Suominen and Hannes Toivanen
Organization(s): VTT Technical Research Centre of Finland and Lappeenranta University of Technology
Source: Journal of the Association for Information Science and Technology
Year: 2015

Comparing methods to extract technical content for technological intelligence

We are developing indicators for the emergence of science and technology (S&T) topics. To do so, we extract information from various S&T information resources. This paper compares alternative ways of consolidating messy sets of key terms [e.g., using Natural Language Processing on abstracts and titles, together with various keyword sets]. Our process includes combinations of stopword removal, fuzzy term matching, association rules, and term commonality weighting. We compare topic modeling to Principal Components Analysis for a test set of 4104 abstract records on Dye-Sensitized Solar Cells. Results suggest potential to enhance understanding regarding technological topics to help track technological emergence.

Author(s): Nils C. Newman, Alan L. Porter, David Newman, Cherie Courseault Trumbach and Stephanie D. Bolan
Organization(s): Georgia Institute of Technology, University of California, University of New Orleans
Source: Journal of Engineering and Technology Management
Year: 2014
http://www.sciencedirect.com/science/article/pii/S0923474813000556

Clustering scientific documents with topic modeling

Topic modeling is a type of statistical model for discovering the latent “topics” that occur in a collection of documents through machine learning. Currently, latent Dirichlet allocation (LDA) is a popular and common modeling approach. In this paper, we investigate methods, including LDA and its extensions, for separating a set of scientific publications into several clusters. Continue reading Clustering scientific documents with topic modeling

2013 Global TechMining Conference Abstracts

Keynote

WEB AND OTHER UNSTRUCTURED DATA

Profiling Science and Innovation Policies of Obama Administration by Mining OSTP Web Resources
Zhixiong Zhang, Jianhua Liu, Yimin Zou, Jing Xie and Li Qian

Using Websites to Understand Factors Associated with Growth in Green Goods Companies
Jan Youtie, Philip Shapira and Sanjay Arora

Social media and innovation ecosystems: An Analysis of Twitter Microblogs About Graphene
Sanjay Arora and Jan Youtie

PATTERNS IN DATA

Study on the measurement of international knowledge flow based on the patent citation network
Xuanting Ye, Yun Liu and Jun Su    

Analysis on patent collaborative patterns for emerging technologies: a case study of Nano-Enabled Drug Delivery
Jing Ma, Xuefeng Wang, Donghua Zhu and Xiao Zhou
Presentation PowerPoint Slides

Ziriguidum in nursing data: Cofen´s Data Processing Methodology  
Marcelo Persegona, Gelson Luiz Albuquerque, Neyson Pinheiro Freire, Matheus Moreira Cruz, Gedalias Hugo De Oliveira Valentim, Gustavo Rocha Aquino González and João Carlos Felix Souza 
Presentation PowerPoint Slides

IMPACTS OF COLLABORATION IN S,T & I

Brokerage Role of Intermediaries in Innovation Networks: the Biopharmaceutical Innovation System in Taiwan
Shih-Hsin Chen

Internationalization of Nanotechnology R&D Process A Longitudinal Study for the Collaboration Mechanism in the Nanotechnology Innovation System
Sercan Ozcan and Nazrul Islam

Birds of a Feather Publish Together? Gender homophily and advisor-advisee collaborations
Diogo Pinheiro, Julia Melkers and Jan Youtie

Technology Mapping Process to the Exploration of Collaborative Innovation Mechanisms in the Case of Carbon Nanotubes 
Nazrul Islam and Sercan Ozcan

DEVELOPMENTS IN DATA

Is the content of academic patents also published in scientific journal articles? – Identifying, matching, and analyzing patent-paper-twins.
Friedrich Dornbusch and Rainer Frietsch

Author Disambiguation Engine and Analysis of Russian Science in Web of Science (2007-2011)
Ilya Ponomarev, Pawel Sulima, Eva Darian, Joshua Schnell, Ronan Sorensen, Brian Lawton, Ciaran Bogler, Etienne Godard and Victor Shyu

Exploring enhancements in the research literature base through TechMining
Fernando Palop, Alan L. Porter, Blanca De Miguel Molina and Andrés Avalos

Dynamics of change and interaction in the technoscientific knowledge structures underpinning emerging technologies – The case of iPSC technologies
Alfonso Avila-Robinson and Shintaro Sengoku

DEVELOPMENTS IN ANALYTICS

Precision and recall in classifying scientific literature: comparing topic modeling to Kernel-based spectral clustering
Arho Suominen, Stephen Carley, Hannes Toivanen and Alan Porter
Presentation PowerPoint Slides

Concepts and Lattices: An Investigation
Scott Cunningham and Jan Kwakkel

Group-Based Trajectory Modeling of Citations in Scholarly Literature: Dynamic Qualities of “Transient” and “Sticky Knowledge Claims”
Loet Leydesdorff and Susanne Baumgartner

A Research Value Responsiveness Index for Government Collaborator Involvement in University-Industry Partnerships
Stephen Carley

DEVELOPMENTS IN TECHMINNG INDICATORS

Is interdisciplinarity a relevant criterion for the selection of project proposals by funding agencies? A case study implementing a text-mining-based indicator
Dominique Besagni, Marianne Hörlesberger, Edgar Schiebel, Ivana Roche and Claire François
Presentation PowerPoint Slides

Clubbing Effect of Chinese Research: An Explorative Study in Nanotechnology
Li Tang, Philip Shapira and Jan Youtie

Impacts of an Interdisciplinary Research Center on Participant Publication and Collaboration Activities
Pamela Bishop
Presentation PowerPoint Slides

S-CURVE ANALYSIS AND TECHNOLOGY LIFE CYCLE Application in series of data of articles and patents
Jhon Wilder Zartha Sossa, Fernando Palop, Bibiana Arango Alzate, Fabian Mauricio Velez Salazar and Andres Felipe Avalos Patiño

DETECTING AND EVALUATING THE EMERGENCE OF S & T: ACTIVITIES IN FORESIGHT AND UNDERSTANDING FROM SCIENTIFIC EXPOSITION

Finding Patterns of Emergence in Science and Technology
Dewey Murdick

ARBITER: Toward the Automated Detection of Technoscientific Emergence from Full-Text Publications and Patents
Olga Babko-Malaya

Copernicus: Towards a Computable, Generalized Model of Technical Emergence and Innovation
Jeffrey Alexander
Presentation PowerPoint Slides

Validating Emerging Topics in Science and Technology
Kevin Boyack
Presentation PowerPoint Slides

APPLICATIONS IN S, T, & I

Quantitative Analysis of Technology Futures: Techniques, Contexts, and Organizations
Tommaso Ciarli, Alex Coad and Ismael Rafols

Research on Tech-Mining with Knowledge-based ST&I Strategy for Decision-Makers
Alfred Li-Ping Cheng

Delivering TechMining Techniques inside a Regional Innovation System, RIS targeted to Institutions and Firms
Fernando Palop and Jenny Marcela Sanchez-Torres

Bi-directional Decision Making Innovation Model for Big Data: Combination of Target-Driven and Data-Driven Methods
Yi Zhang, Donghua Zhu, Xuefeng Wang, Jing Ma and Alan Porter
Presentation PowerPoint Slides

Multi-Media Poster Session and Reception

Measuring Technology Transfer of Chinese Universities
Long Tan, Yun Liu and Bingbing Sun

The Trajectory of Rice Technology: Mapping the Evolution of Research since the Green Revolution
Tommaso Ciarli and Ismael Rafols

Webscraping of Library and Information Science by using Web Of Science (2003-2012): A Scientometric Perspective
Jabeen Munazza, Yun Liu, Wai Fanyuan, Wang Wenping, and Long Tan

Defining Industrial Districts: A Case of an Emerging local Nanotechnology Agglomeration
Fernando Palop, Scott Cunningham and Blanca De Miguel Molina

Profiles Research Network Software: Discovering and Visualizing the Social Networks of Scientists
Griffin Weber

Recent Developments on Knee Prosthesis Technology: A patent analysis
Marisela Rodriguez Salvador and Alejandro Palacios Mata

Keyword Field Cleaning Through ClusterSuite: A Term-Clumping Tool for VantagePoint Software
John Obrien, Stephen Carley and Alan Porter

Construction of product-based supply chain networks using novel database integrating trade data into technological patents
Jongsoek Kang, Ohjin Kwon, Jaeyoung Yoo and Youngho Moon

Technological trends on Dengue Virus diagnosis through patent and literature analysis
Norma Garcia-Calderon and Daniel Barron-Pastor

Technological trends on Candida glabrata diagnosis through patent and literature analysis
Daniel Barron-Pastor and Norma Garcia-Calderon

Assessing the Predictive Power of the H Index across Multiple Fields
Stephen Carley

Women and publishing: The case of Quebec’s nanotechnology research for water applications
Gita Ghiasi Hafezi

Patent overlay maps: Spain and the Basque Country
Javier Gavilanes, Rosa Rio-Belver, Ernesto Cilleruelo, Gaizka Garechana, Jaso Larruscain

Text Mining in Mining: Tailings Dam Water Treatment and Reutilization
Yolanda Mendez-Torres, Daniel Barron-Pastor and Norma Garcia-Calderon

5-Minute Power Talk Presentations

Measuring Technology Transfer of Chinese Universities
Long Tan, Yun Liu and Bingbing Sun

The Trajectory of Rice Technology: Mapping the Evolution of Research since the Green Revolution
Tommaso Ciarli and Ismael Rafols

Webscraping of Library and Information Science by using Web Of Science (2003-2012): A Scientometric Perspective
Jabeen Munazza, Yun Liu, Wai Fanyuan, Wang Wenping, and Long Tan

Defining Industrial Districts: A Case of an Emerging local Nanotechnology Agglomeration
Fernando Palop, Scott Cunningham and Blanca De Miguel Molina

Profiles Research Network Software: Discovering and Visualizing the Social Networks of Scientists
Griffin Weber

Technology Mining in Cost Estimation
Cherie Courseault Trumbach

Recent Developments on Knee Prosthesis Technology: A patent analysis
Marisela Rodriguez Salvador and Alejandro Palacios Mata    

2012 Global TechMining Conference Abstracts

TechMining and Innovation

Bibliometric perspectives on medical innovation using the medical subject headings (MeSH) of PubMed
Loet Leydesdorff, Daniele Rotolo and Ismael Rafols

Discovering emerging technology trends: with TRIZ and technology roadmapping
Yi Zhang, Alan Porter, Ying Guo and Xiao Zhou

Tracing promising nanotechnologies for diseases prevalent in ageing populations
Douglas Robinson, Ying Guo, Alan Porter

TechMining — Tools

Assessing a technique for mining topic trends in bibliographic databases
Keith Nelms

Multiple perspectives on bibliometric data: Combining different science mapping approaches using VOSviewer
Nees Jan van Eck and Ludo Waltman

Visualization of relational bibliometric data with the software tool BibTechMon
Edgar Schiebel

TechMining — for Foresight and Innovation

Using four-quadrant charts for two technology forecasting indicators: R&D momentum and technology readiness levels
David Li Tang, Erica Wiseman and Jean Archambeault

S&T-Function-Application Cross-charting: An approach to visualize the bridges across the gap between R&D and applications
Ying Guo and Alan Porter

Patent analysis and technology foresight on micro/nano power generation
Shu Fang, Xian Zhang, Yuexian Zhu, Lidan Gao, Hongshen Pang and Xinjin Fu

Industrial innovation path selection based on TRIZ theory
Xiao Zhou, Yi Zhang, Ying Guo and Donghua Zhu

TechMining — Process

Formulating a transformative research strategy for technology mining in the STI environment
Richard Klavans and Kevin W. Boyack

Empirical study of constructing a knowledge organization system of patent documents using topic modeling
Zhengyin Hu, Shu Fang, Xian Zhang, Tian Liang and Yi Zhang

How to build your own citation index: First-hand experience with Web of Science, Scopus, and CSA reference data
William Dinkel, Frank Sawitzki and Andreas Strotmann

The contribution of a syntactic-semantic approach to the search for complementary literatures for scientific or technical discovery
Jose M. Vicente-Gomila

TechMining — Indicators

The use of citation speed to understand the effects of a multi-institutional science center
Jan Youtie

Measuring interdisciplinarity at the National Science Foundation
Leah Nichols

Breakthrough Paper Indicator 2.0: improving the accuracy of outstanding papers prediction by using interdisciplinarity, geographical diversity, and prestige measures of citations
Ilya Ponomarev, Duane Williams, Joshua Schnell and Laurel Haak

Evaluating the outcomes of government funded research programs: measuring interdisciplinarity through text analysis of abstracts of award-derived publications
John Chase, Christina Freyman and John Byrnes

TechMining – Profiling Applications

Nanomaterials Patenting in Brazil: some considerations for the regulatory framework in the country
Maria Simone de M Alencar, Leonardo da Silva Sant’Anna and Aldo Pacheco Ferreira

HPV and dengue vaccines: patent and lliterature social network analysis (SNA) and the implications for innovation health policy in innovative developing countries (IDC)
Priscila Rohem-Santos, Claudia Chamas and Carlos Morel

Key research area identification and trace analysis: a case study based on nano-optoelectronic devices
Zongying Tan and Xiangli Zhu

Terahertz science, technology and application trends
Fan Yang
TechMining — Automating

Automated methods to link federally funded research projects to biomarker development and FDA-approved products
Duane Williams, Sandeep Patel, Elizabeth Hsu, James Corrigan and Joshua Schnell

Evaluating institutions for innovation: automated content analysis of patents and matching
Gabriel Chan

Implementing strategic information by using APA (Automatic Patent Analysis) – Example in the field of steels for high temperature applications
Henri Dou and Daniel Coelho

TechMining — Novel Data

Discipline mapping
Mari Jibu

Identifying the intelligence value of web resources based on a knowledge object grid
Zhixiong Zhang, Yimin Zou, Jianhua Liu, Jing Xie and Li Qian

Comparing the impact of different funding modes
Peter Van Den Besselaar and Stefan de Jong

Open Interactive Session

The emergence of a new technology: a multi-perspective analysis on the case of human papilloma virus (HPV) molecular diagnostic tests
Daniele Rotolo, Michael Hopkins and Ismael Rafols

Assessing university research output deploying freely accessible bibliometric tools
Rosa Río-Belver, Juncal Zabalza, Ernesto Cilleruelo, Gaizka Garechana and Javier Gavilanes

Visualization of relational bibliometric data with the software tool BibTechMon
Edgar Schiebel

Capturing new developments in an emerging technology: An updated search strategy for identifying nanotechnology research output
Sanjay Arora, Alan Porter, Jan Youtie and Philip Shapira

Mapping structure and evolution of science
Xiaomei Wang, Tao Han and Jun Wang

Chinese patent activity analysis about vibration reduction control technology in high speed railway vehicle systems
Fan Zhang

Analyzing the impact of research policy with an ego network analysis
Arho Suominen

Detecting domain dynamics: Association Rule Extraction and diachronic clustering techniques in support of expertise

Extended Abstract – EXTENDING TECHMINING METHODS session at “1st Global TechMining Conference” 2011

Author(s): Ivana Roche, Maha Ghribi, Nathalie Vedovotto, Claire François, Dominique Besagni, Pascal Cuxac (INIST-CNRS); and Dirk Holste, Marianne Hörlesberger, Edgar Schiebel (Austrian Institute of Technology)

Identifying the evolution trends of a scientific domain can be hugely interesting for the scientific research policy makers. The evolutions of a scientific domain can be studied by associating clustering techniques, generating a representation of the publication scientific landscape based on its extracted terminology, with a diachronic analysis of clustering results obtained at two different times. This work, developed in the context of a European project, aims to propose an alternative way by producing an assisted diachronic analysis of clustering results decreasing the load of the expertise phase. Continue reading Detecting domain dynamics: Association Rule Extraction and diachronic clustering techniques in support of expertise

Analyzing Metrics for Tech Mining Methodologies

Extended Abstract – EXTENDING TECHMINING METHODS session at “1st Global TechMining Conference” 2011

Author(s): ARHO SUOMINEN (University of Turku)

What measures or metrics of technological development are visible and practically attainable within bibliometric data? Are the metrics attained objective, reproducible and valid across a variety of technologies? Continue reading Analyzing Metrics for Tech Mining Methodologies

Using Bibliographic Coupling as a Measure of Centerness in R&D Assessment

Extended Abstract – EXTENDING TECHMINING METHODS session at “1st Global TechMining Conference” 2011

Author(s):Jan Youtie, Julia Melkers, Luciano Kay (Georgia Institute of Technology)

This paper explores the use of bibliometrics in R&D assessment. In particular, we put forth a bibliographic-coupling based indicator as a measure of “centerness” and present its characteristics relative to the experience of an NSF science center. Continue reading Using Bibliographic Coupling as a Measure of Centerness in R&D Assessment