In the last 40 years, the aeronautical industry has managed to move from a specialized sector to a worldwide leading industry. Companies, governments and associations all over the world acknowledge the importance of the aviation industry in supporting global development and the economy. However, aviation will be facing new challenges related to sustainability and performance in a technological environment in evolution. To succeed, the aeronautical industry must keep innovation as one of its main assets. It must master a wide range of technologies and then collaborate to integrate them into an aircraft design and development program. A collaborative approach to innovation is key to achieve these goals. The main purpose of this paper is to analyze the structure of technological innovation networks in the aviation industry and to characterize the
map of the “Aviation Technology Space”. Two different approaches and methods are used. In one approach, we performed a bibliometric network analysis of aviation research scientific publications using a keyword co-occurrence analysis method to map the aerospace collaboration structures. Complementarily, we performed a patent analysis to evaluate the innovation capacity of the aviation industry in the cutting-edge technologies previously identified. From the results of this analysis, the paper provides recommendations for future innovation and research policies to allow the sector to fulfill the demanding goals by the year 2050.
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Author(s): Rosa Maria Arnaldo Valdés, Serhat Burmaoglu, Vincenzo Tucci, Luiz Manuel Braga da Costa Campos, Lucia Mattera, Víctor Fernando Gomez Comendador
Organization(s): Universidad Politécnica de Madrid, Katip Celebi University
Changes in global market conditions and regulatory policies have led to a greater focus on new product development (NPD). To survive and compete in the market, organisations need to develop a comprehensive understanding of NPD, including the past and present trends in NPD research. This study attempts to address this need by analysing scholarly literature on NPD published in last four decades, i.e. 1976–2017. Unlike previous literature reviews that focused on specific NPD aspects such as performance measurement or model selection/evaluation, this study adopts a holistic perspective. By analysing 381 articles on NPD, we shed light on the underlying research trends, common research characteristics as well the gaps in research and potential directions for future NPD research.
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Author(s): Neeraj Pandey, Avadhut Arun Patwardhan, and Swarnima Rao
Organization(s): National Institute of Industrial Engineering (NITIE), MIT School of Telecom Management (MITSOT)
Source: Int. Journal of Product Development
In the current hyper-competitive economy, it is increasingly important to understand how firms can and should access and leverage external resources, such as customer knowledge or supply-chain partners’ capabilities. In this paper, we report the results of bibliometric analyses on external resource management (ERM) research in nine representative journals, and elaborate the underlying patterns and dynamics in this relatively young research area. A total of 1290 articles ranging from year 2000 to 2015 were analyzed with text-mining and visualization methods. We found that the annual number of ERM publications is steadily increasing, and identified and described four distinct research clusters focusing on integration & operational effectiveness, innovation & value creation, inter-organizational relationships, and knowledge transfer & learning. The identification of research clusters and key works and authors in this multidisciplinary research field can assist future research in better positioning their studies and finding the key references across disciplinary silos.
Author(s): Johanna Bragge, Katri Kauppi, Tuomas Ahola, Anna Aminoff, Riikka Kaipia, Kari Tanskanen
Organization(s): Aalto University,Tampere University, Hanken School of Economics
Source: Journal of Business Research
Puberty research has been highly productive in the past few decades and is gaining momentum. We conducted an analysis of bibliographic data, including titles, abstracts, keywords, indexing terms, and citation data to assess the sheer numbers, audience and reach, publication types, and impact of puberty‐related publications. Findings suggest that puberty‐related publications are increasing in sheer numbers, and have reach in many fields as befits an interdisciplinary science. Puberty‐related publications typically have higher impact in terms of citations than the journal averages, among the journals that published the most studies on puberty. Limitations of the field and recommendations for researchers to improve the impact and reach of puberty‐related publications (e.g., clear conclusions in abstracts, highlighting the importance of puberty) are discussed.
Link to FULL-TEXT – https://onlinelibrary.wiley.com/doi/full/10.1111/jora.12396
Authors(s): Kristine Marceau, Savannah Hottle, Jane Kinkus Yatcilla
Organization(s): Purdue University
Source: Journal of Research on Adolescence
South-south collaboration on health and development research is a critical mechanism for social and economic progress. It allows sharing and replicating experiences to find a “southern solution” to meet shared health challenges, such as access to adequate HIV/AIDS prevention and treatment. This study aimed to generate evidence on the dynamics of south-south collaboration in HIV/AIDS research, which could ultimately inform stakeholders on the progress and nature of collaboration towards increased research capacities in low- and middle-income countries (LMIC).
METHODS: Bibliometric and social network analysis methods were used to assess the 10-year (2006-2015) scientific contribution of LMIC, through the analysis of scientific publications on HIV/AIDS prevention and/or treatment. Five dimensions oriented the study: knowledge production, co-authorship analysis, research themes mapping, research types classification and funding sources.
RESULTS: Publications involving LMIC have substantially increased overtime, despite small expression of south-south collaboration. Research themes mapping revealed that publication focus varied according to collaborating countries’ income categories, from diagnosis, opportunistic infections and laboratory-based research (LMIC single or LMIC-LMIC) to human behavior and healthcare, drug therapy and mother to child transmission (LMIC-HIC). The analysis of research types showed that south-south collaborations frequently targeted social sciences issues. Funding agencies acknowledged in south-south collaboration also showed diverse focus: LMIC-based funders tended to support basic biomedical research whereas international/HIC-based funders seem to cover predominantly social sciences-oriented research.
CONCLUSIONS: Although the global environment has fostered an increasing participation of LMIC in collaborative learning models, south-south collaboration on HIV/AIDS prevention and/or treatment research seemed to be lower than expected, stressing the need for strategies to foster these partnerships. The evidence presented in this study can be used to strengthen a knowledge platform to inform future policy, planning and funding decisions, contributing to the development of enhanced collaboration and a priority research agenda for LMICs.
Link to FULL-TEXT https://www.ncbi.nlm.nih.gov/pubmed/29490665
Author(s): Bruna Fonseca, Priscila Albuquerque, Ed Noyons, Fabio Zicker
Organization(s): Center for Technological Development in Health (CDTS) at Oswaldo Cruz Foundation (Fiocruz), Leiden University
Source: Global Health
Formal concept analysis (FCA) and concept lattice theory (CLT) are introduced for constructing a network of IDR topics and for evaluating their effectiveness for knowledge structure exploration. We introduced the theory and applications of FCA and CLT, and then proposed a method for interdisciplinary knowledge discovery based on CLT. As an example of empirical analysis, interdisciplinary research (IDR) topics in Information & Library Science (LIS) and Medical Informatics, and in LIS and Geography-Physical, were utilized as empirical fields. Subsequently, we carried out a comparative analysis with two other IDR topic recognition methods.
Findings: The CLT approach is suitable for IDR topic identification and predictions.
Research limitations: IDR topic recognition based on the CLT is not sensitive to the interdisciplinarity of topic terms, since the data can only reflect whether there is a relationship between the discipline and the topic terms. Moreover, the CLT cannot clearly represent a large amounts of concepts.Practical implications: A deeper understanding of the IDR topics was obtained as the structural and hierarchical relationships between them were identified, which can help to get more precise identification and prediction to IDR topics.
Originality/value: IDR topics identification based on CLT have performed well and this theory has several advantages for identifying and predicting IDR topics. First, in a concept lattice, there is a partial order relation between interconnected nodes, and consequently, a complete concept lattice can present hierarchical properties. Second, clustering analysis of IDR topics based on concept lattices can yield clusters that highlight the essential knowledge features and help display the semantic relationship between different IDR topics. Furthermore, the Hasse diagram automatically displays all the IDR topics associated with the different disciplines, thus forming clusters of specific concepts and visually retaining and presenting the associations of IDR topics through multiple inheritance relationships between the concepts.
Author(s): Haiyun Xu, Chao Wang, Kun Dong, Zenghui Yue
Organization(s): Institute of Scientific and Technical Information of China, Qilu University of Technology, Shandong University of Technology, Jining Medical University
Source: Journal of Data and Information Science
Ethanol produced from lignocellulosic biomass of composition is not a new concept. However, the increase in the population and industrial activity in the world, the energy demand and environmental impacts brought to light the need for new energy sources. At the beginning of this new millennium, ethanol and biomass gained notoriety as sources that could sustainably complement the energy matrix and also to mitigate the impacts of fossil energy sources. There are different ways to produce ethanol from biomass, but the most studied technologies are those made through biotechnological routes. In view of the investments on development made over the years, this article aims at analyzing the generation of technologies in the main links of the second generation ethanol production chain through patent applications in order to identify trends that will guide the industry of this biofuel.
Full-text available http://www.revistageintec.net/index.php/revista/article/view/1193
Author(s): Luiz André F. Silva Schlittler, Adelaide Maria de Souza Antunes, Nei Pereira Junior
Organization(s): Faculdade SENAI CETIQT, Instituto Nacional da Propriedade Industrial (INPI), Universidade Federal do Rio de Janeiro
Source: Revista GEINTEC
Technological Convergence (TC) reflects developmental processes that overlap different technological fields. It holds promise to yield outcomes that exceed the sum of its subparts. Measuring emergence for a TC environment can inform innovation management. This paper suggests a novel approach to identify Emergent Topics (ETopics) of the TC environment within a target technology domain using patent information. A non-TC environment is constructed as a comparison group. First, TC is operationalized as a co-classification of a given patent into multiple 4-digit IPC codes (≥2-IPC). We take a set of patents and parse those into three sub-datasets based on the number of IPC codes assigned 1-IPC (Non-TC), 2-IPC and ≥3-IPC. Second, a method is applied to identify emergent terms (ETs) and calculate emergence score for each term in each sub-dataset. Finally, we cluster those ETs using Principal Components Analysis (PCA) to generate a factor map with ETopics. A convergent domain – 3D printing – is selected to present the illustrative results. Results affirm that for 3D printing, emergent topics in TC patents are distinctly different from those in non-TC patents. The number of ETs in the TC environment is increasing annually.
Author(s): Zhinan Wang, Alan L.Porter, Xuefeng Wang, Stephen Carley
Organization(s): Beijing Institute of Technology, Georgia Institute of Technology
Source: Technological Forecasting and Social Change
Knowing the gear of the triple-helix is fundamental to analyze the impact of public policies in the scenario of a country, especially when the variables linked to innovation refer to the chronological production of the facts. In this perspective, an analysis was assembled from intentional samples per regions of Brazil linked to the engineering areas, identifying indices that could demonstrate this evolutionary line, highlighting mainly in their numbers, the quantitative of patents of engineering deposited with and without the relation university-enterprise partnership (EU), with state mapping of the federation, public and private investments in P&D, patents with their respective classifications and scientific production of Engineering indexed to Scopus .It was concluded that from the years of 2005 with the Innovation Law there was a boost in these indices making It possible to understand that the numbers of articles began to scale a greater use for the production of patents, with emphasis on the South and Southeast universities of the country, although It is still a number that needs greater expressiveness for the country’s future.
Author(s): Carlos Tadeu Santana Tatum, Flávio Ferreira da Conceição Franceschi, Letícia-Maria Macedo Tatum, Jonas Pedro Fabris, Suzana Leitão Russo
Organization(s): Federal University of Sergipe
Source: Revista GEINTEC
Current enterprises face organizational and cultural barriers to adopt and harness the potential of strategic emerging technologies. Late adoption of these technologies will affect competitiveness from which it will be hard to recover. Within the frame of technology analysis field, the present work aims at introducing an approach to obtain the characterization of emerging technologies, which facilitates understanding and identifies their potential. This characterization is based on the analysis of scientific activity, to which a set of quantitative methods is applied, namely bibliometrics, text mining, principal component analysis and time series analysis. The outcome is based on obtaining a set of dominant sub-technologies, which are described by means of individual time series, which also allow evolution of the technology as a whole to be forecasted. The approach is applied to the Big Data technology field and the results suggest that sub-technologies such as Mobile Telecommunications and Internet of things will lead this field in the near future.
Author(s): Iñaki Bildosola, Gaizka Garechana Enara Zarrabeitia, Ernesto Cilleruelo
Organizations(s): University of the Basque Country (UPV/EHU)
Source: Central European Journal of Operations Research