Category Archives: Research Examples

Qualitative Patents Evaluation Through the Analysis of Their Citations. Case of the Technological Sectors in the Basque Country

Citation analysis, Patents, Research Examples, ST&I indicators

Patents are an output of the level of innovation of a company or region. Patent quantitative studies are performed by simply counting the number of these documents. For the qualitative evaluation, there is a certain consensus among the authors to consider the citations as the most adequate indicator. However, this indicator presents several problems regarding its correct interpretation. In the present study, in order to avoid the typical citation interpretation biases, a precise methodology is presented. As an illustrative example, we present a comparative study of the quality of patents in technological sectors of the Basque Country region over the period 1991–2011.

DOI
https://doi.org/10.1007/978-3-319-96005-0_28

Author(s): J. Gavilanes-Trapote, Ernesto Cilleruelo-Carrasco, I. Etxeberria-Agiriano, Gaizka Garechana, Alejandro Rodríguez Andara
Organization(s): University of the Basque Country
Source: Engineering Digital Transformation. Lecture Notes in Management and Industrial Engineering. Springer, Cham
Year: 2018

Additive Manufacturing and Supply Chain: A Review and Bibliometric Analysis

Research Examples, Research profiling, Research Type

The additive manufacturing studies has been increased in the last years, positioning in the scientific community. This paper analyze the literature about the relation between Additive Manufacturing and Supply Chain, with the final purpose of giving an exhaustive vision and to present and initial parameter in future researches. Using a bibliometric analysis 497 published articles in the last 25 years were evaluated, 78 articles of which were selected that are related in the AM and SC topic, identifying the publishing tendency, the principles authors and the impact of the articles and the magazines. Also, there are knowledge networks and geographic location of the most influential countries.

DOI https://doi.org/10.1007/978-3-319-96005-0_39

Author(s): Jairo Nuñez, Ángel Ortiz, Manuel Arturo Jiménez Ramírez,Jairo Alexander González Bueno, Marianela Luzardo Briceño
Organization(s): Pontificia Bolivariana University
Source: Engineering Digital Transformation. Lecture Notes in Management and Industrial Engineering. Springer, Cham
Year: 2018

Collaboration Towards a More Inclusive Society: The Case of South African ICT4D Researchers

Network analysis, Research Examples, ST&I policy

In this study, research collaboration in the context of South African Information and Communication for Development (ICT4D) researchers was investigated using a mixed methods approach. South Africa, a country with stark development challenges and on the other hand a well-established ICT infrastructure, provides an appropriate context for ICT4D research. Firstly, a quantitative analysis of South African research collaboration between 2003 and 2016 was conducted to determine the existing research collaboration patterns of South African ICT4D researchers. This is based on the publications in three top ICT4D journals namely the Electronic Journal of Information Systems in Developing Countries (EJISDC), Information Technologies & International Development (ITID), and Information Technology for Development (ITD). The results show that most co-authored papers were intra-institutional collaborations, with limited inter-institutional collaboration between South African authors or between South African and other African authors. Secondly, interviews were conducted with South African researchers who emerged as inter- and intra-institutional collaborators to gain insight into the technology, drivers and barriers affecting South African research collaboration. We report our findings and discuss the implications for employing research collaboration as a mechanism for addressing inequality and supporting inclusion.

DOI
https://doi.org/10.1007/978-3-319-99605-9_6

Author(s): Judy van Biljon, Filistea Naude
Organization(s): University of South Africa
Source: This Changes Everything – ICT and Climate Change: What Can We Do? (IFIP International Conference on Human Choice and Computers 2018)
Year: 2018

Business intelligence through patent filings: An analysis of IP management strategies of ICT companies (full-text)

CTI, Patents, Research Examples, Strategic planning, Tech mining

Business intelligence enables enterprises to make effective and good quality business decisions. In the knowledge economy, patents are seen as strategic assets for companies as they provide a competitive advantage and at the same time ensure the freedom to operate and form the basis for new alliances. Publication or disclosure of intellectual property (IP) strategy based on patent filings is rarely available in the public domain. Because of this, the only way to understand IP strategy is to look at patent filings, analyze them and, based on the trends, deduce strategy. This paper tries to uncover IP strategies of five US and Indian IT companies by analyzing their patent filings. Gathering business intelligence via means of patent analytics can be used to understand the strategies used by companies in advocating their patent portfolio and aligning their business needs with patenting activities. This study reveals that the Indian companies are far behind in protecting their IPs, although they are now on course correction and have started aggressively protecting their inventions. It is also observed that the rival companies in the study are not directly competing with each other in the same technological domain. Different patent filing strategies are used by firms to gain a competitive advantage. Companies make use of disclosure as strategy or try to cover many aspects of a technology in a single patent, thereby signaling their dominance in a technological area and at the same time as they add information.

https://ojs.hh.se/index.php/JISIB/article/view/322/pdf

Author(s): Shabib-Ahmed Shaikh, Tarun Kumar Singhal
Organization(s): Symbiosis International University (SIU), Symbiosis Centre for Management Studies
Source: Journal of Intelligence Studies in Business
Year: 2018

Assessing manufacturing strategy definitions utilising text-mining

Biz lit, Research Examples, Research profiling, Tech mining

The variations in Manufacturing Strategy (MS) definitions create confusion and lead to lack of shared understanding between academic researchers and practitioners on its scope. The purpose of this study is to provide an empirical analysis of the paradox in the difference between academic and industry definitions of MS. Natural Language Processing (NLP) based text mining is used to extract primary elements from the various academic, and industry definitions of MS. Co-word and Principal Component Analysis (PCA) provide empirical support for the grouping into nine primary elements. We posit from the terms evolution analysis that there is a stasis currently faced in academic literature towards MS definition while the industry with its emphasis on ‘context’ has been dynamic. We believe that the proposed approach and results of the present empirical analysis can contribute to overcoming the current challenges to MS design and deployment – imprecise definition leading to its inadequate operationalisation.

https://www.tandfonline.com/doi/full/10.1080/00207543.2018.1512764

Author(s): Sourabh Kulkarni, Priyanka Verma, R. Mukundan
Organization(s): National Institute of Industrial Engineering
Source: International Journal of Production Research
Year: 2018

 

Exploration of people centric organizational health dimensions: a study of Indian R&D organization

Biz lit, Data Type, Research Examples, Research profiling, Research Type, Strategic planning

The purpose of this paper is to identify the dimensions of organizational health with the help of existing literature and focus group discussion on organizational health. The study also tries to categorize various antecedents and consequences of organizational health.

Literature review was conducted with limited search word on organizational health using databases like Emerald, Ebsco and Science direct. Focus group discussions were performed at Central Salt and Marine Chemicals Research Institute and National Metallurgical Laboratory – laboratories of Council of Scientific and Industrial Research, an Indian R&D organization. A total of 29 male and 6 female respondents participated in the focus group discussion.

The results showed that various dimensions of organizational health which were found using focus group discussions were in congruence with the literature reviewed on organizational health. The findings of focus group discussion also listed the antecedents and consequences of organizational health in an R&D organization.

The literature presented conflicting views on organizational health construct. The focus group discussion provided clarity on the dimensions of organizational health. An empirical research can be done on organizational health considering dimensions identified during the focus group discussion.

https://doi.org/10.1108/ICT-04-2018-0038

Author(s): Anupama Singh, Sumi Jha
Organization(s): National Institute of Industrial Engineering
Source: Industrial and Commercial Training
Year: 2018

Identify Potential Opportunity for Research Collaboration Using Bibliometrics

Network analysis, Research Examples, Research profiling, Research Type

In recent decades, there has been a notable shift toward R&D that crosses disciplines and organizational boundaries. One reason is because of the complexity and scope of the problems that society is currently facing (e.g., global warming, emerging infectious diseases, and loss of natural resources). These problems require innovative solutions that integrate knowledge from different disciplines. The concept of networking R&D is therefore increasingly important. However, the main challenge in initiating any cross discipline development is how to identify the potential groups of experts for collaboration and which areas of expertise they specialize in. One common expert identification method is based on social connections, i.e., ask people and follow referrals until finding someone with appropriate expertise. However, this could be a time-consuming and biased task. Fortunately with the availability and accessibility of research literature and the advancement in information retrieval, natural language processing, and machine learning, potential experts can be identified automatically from such information sources.

This study aims to apply bibliometric analysis of research publications to discover potential research collaboration among key researchers. To address this challenge, two research questions are needed to be answered: (1) who are the key researchers/practitioners in the specified field? and (2) are there any forms of collaboration or linkages among these experts in the field?

The analysis can identify experts whose relationships have already been established as well as for those who never know each other, yet seem to share similar research interests. The latter case can be considered as a hidden network in which the collaboration among those experts can also be initiated.

https://www.questia.com/library/journal/1G1-555989434/identify-potential-opportunity-for-research-collaboration

Author(s): Nathasit Gerdsri, Alisa Kongthon
Organization(s): National Electronics and Computer Technology Center, Mahidol University
Source: International Journal of Business
Year: 2018

MAPPING OF THE BRAZILIAN SCIENTIFIC PUBLICATION ON FACILITY LOCATION (full-text)

Research Examples, Research profiling

Mathematical models are relevant to indicate the optimal location of facilities and, consequently, help in the search for efficiency in the supply chain. Although facility location problems are consolidated in the Operational Research field, few publications are dedicated to investigate the profile of the academic production (the amount of paper published), aiming to direct new studies on the subject and propose models that solve the current challenges. Thus, this paper aims to present a scientometric analysis of the articles on facility location published in the Web of Science, in order to verify the profile of Brazilian scientific production. As result, approximately 2% of the papers have researchers affiliated to Brazilian institutions. The interest for the subject is recent, with emphasis on universities. Brazil maintains an intense international collaboration network, cooperating with 45 different countries, especially USA. Finally, there is opportunity for publications that include the environmental dimention to mathematical models and for expansion in company-university-government collaboration.

http://dx.doi.org/10.1590/0101-7438.2018.038.02.0307

Author(s): Vanessa de Almeida Guimarães, Glaydston Mattos Ribeiro, Maxwel de Azevedo-Ferreira
Organization(s): Centro Federal de Educação Tecnológica Celso Suckow da Fonseca – CEFET/RJ, Programa de Engenharia de Transportes – COPPE/UFRJ
Source: Pesquisa Operacional
Year: 2018

Identifying translational indicators and technology opportunities for nanomedical research using tech mining: The case of gold nanostructures

Research Examples, Research Type, ST&I indicators

Clinical translation of scientific discoveries from bench to bedside is typically a challenging process with sporadic progress along its trajectory. Analyzing R&D can provide key intelligence on advancing biomedical innovation in target domains of interest. In this study, we explore the feasibility of using a streamlined tech mining approach for identification of translational indicators and potential opportunities, using observable markers extracted from selected research literature. We apply this strategy to analyze a set of 23,982 PubMed records that involved gold nanostructures (GNSs) research. Nine indicators are generated to assess what different GNSs research activities had achieved and to predict where GNSs research will likely go. We believe such analysis can provide useful translation intelligence for researchers, funding agencies, and pharmaceutical and biotech companies.

https://doi.org/10.1016/j.techfore.2018.08.002

Author(s): Jing Ma, Natalie F. Abrams, Alan L. Porter, Donghua Zhu, Dorothy Farrell
Organization(s): Shenzhen University, NIH, Beijing Institute of Technology
Source: Technological Forecasting and Social Change
Year: 2018

A case study on the use of machine learning techniques for supporting technology watch

Research Examples, Research Type, ST&I indicators, Tech mining

Technology Watch human agents have to read many documents in order to manually categorize and dispatch them to the correct expert, that will later add valued information to each document. In this two step process, the first one, the categorization of documents, is time consuming and relies on the knowledge of a human categorizer agent. It does not add direct valued information to the process that will be provided in the second step, when the document is revised by the correct expert.

This paper proposes Machine Learning tools and techniques to learn from the manually pre-categorized data to automatically classify new content. For this work a real industrial context was considered. Text from original documents, text from added value information and Semantic Annotations of those texts were used to generate different models, considering manually pre-established categories. Moreover, three algorithms from different approaches were used to generate the models. Finally, the results obtained were compared to select the best model in terms of accuracy and also on the reduction of the amount of document readings (human workload).

https://doi.org/10.1016/j.datak.2018.08.001

Author(s): Alain Perez, Rosa Basagoiti, Ronny Adalberto Cortez, Felix Larrinaga, Ekaitz Barrasa, Ainara Urrutia
Organization(s): Mondragon Unibertsitatea
Source: Data & Knowledge Engineering
Year: 2018