Sustainable Business Model Based on Open Innovation: Case Study of Iberdrola

The change in business management towards a vision based on open innovation has opened the doors to knowledge transfer between organizations, promoting scientific–technological collaborations resulting in new research that opens the way to new technological innovations. Therefore, the objective of this study is to see how the company Iberdrola has oriented its management strategy towards an open innovation approach, analyzing both its scientific and technological development through a bibliometric and network analysis. The results highlight that Iberdrola has always considered scientific and technological development to be part of its strategic approach as a means of disseminating and transferring knowledge. Furthermore, it can be concluded that the implementation of strategic axes related to sustainable development in an open innovation environment has improved the results of its scientific and technical production, and also the company’s financial results

Knowledge Sharing and Transfer in an Open Innovation Context: Mapping Scientific Evolution

The essence of innovation lies in knowledge, which is why open innovation opens the door to knowledge transfer with agents outside the organization. In order to comprehend the joint scientific trajectory of these two areas of knowledge, the aim of this study is to identify and analyze the main indicators of scientific behavior involved in the research field related to the link between open innovation and knowledge transfer or knowledge sharing concepts through bibliometric and network analysis. The results show clear European leadership in scientific production developed in universities. In addition, the high quality of the main sources of diffusion infers publications of good scientific quality. The most recognized source of knowledge used in new research is directed towards university-company relationships in an open innovation environment. Network analysis related to keywords has allowed us to define the most interesting, relevant fields of research, highlighting the importance acquired by topics such as ‘communication’, ‘inter-organizational context’ and ‘education’, to better focus on future research of the scientific community. It can be concluded that the scientific development of both concepts is an active field in the academic community, and also, that new key terms appear, opening new paths of research

Scientometric and Patentometric Analyses to Determine the Knowledge Landscape in Innovative Technologies: the Case of 3D Bioprinting

This research proposes an innovative data model to determine the landscape of emerging technologies. It is based on a competitive technology intelligence methodology that incorporates the assessment of scientific publications and patent analysis production, and is further supported by experts' feedback. It enables the definition of the growth rate of scientific and technological output in terms of the top countries, institutions and journals producing knowledge within the field as well as the identification of main areas of research and development by analyzing the International Patent Classification codes including keyword clusterization and co-occurrence of patent assignees and patent codes. This model was applied to the evolving domain of 3D bioprinting. Scientific documents from the Scopus and Web of Science data-bases, along with patents from 27 authorities and 140 countries, were retrieved. In total, 4782 scientific publications and 706 patents were identified from 2000 to mid-2016. The number of scientific documents published and patents in the last five years showed an annual average growth of 20% and 40%, respectively. Results indicate that the most prolific nations and institutions publishing on 3D bioprinting are the USA and China, including the Massachusetts Institute of Technology (USA), Nanyang Technological University (Singapore) and Tsinghua University (China), respectively. Biomaterials and Biofabrication are the predominant journals. The most prolific patenting countries are China and the USA; while Organovo Holdings Inc. (USA) and Tsinghua University (China) are the institutions leading. International Patent Classification codes reveal that most 3D bioprinting inventions intended for medical purposes apply porous or cellular materials or biologically active materials. Knowledge clusters and expert drivers indicate that there is a research focus on tissue engineering including the fabrication of organs, bioinks and new 3D bioprinting systems. Our model offers a guide to researchers to understand the knowledge production of pioneering technologies, in this case 3D bioprinting.This work was funded by Tecnologico de Monterrey through the Escuela de Ingenieria y Ciencias and also supported by a grant from the National Council for Science and Technology (CONACYT), Mexico (Grant number:261683).The funders had no role in study design, datacollection and analysis, decision to publish, or preparation of the manuscript

ISO 9001: 2008 y la investigación de la satisfacción del cliente

La norma ISO 9001:2008 requiere en su claúsula "8.2.1. Satisfacción del cliente" que la empresa para poder certificarse debe realizar el seguimiento de la información relativa a la percepción del cliente. Además permite que ese seguimiento pueda realizarse no sólo con encuestas sino con diferentes métodos. A priori aparenta ser un campo donde las empresas de investigación comercial podrían ser contratadas por su especialización. Sin embargo los autores de este artículo hemos auditado un total de 123 Pymes en el País Vasco y Navarra a lo largo del pasado año 2009 y sorprendemente ninguna empresa externalizaba esta investigación. ¿Por qué

Strategic Open Innovation model: mapping Iberdrola network

[EN] Companies are increasingly obliged to collaborate with each other if they want to be innovative, and this growing transfer of knowledge takes place in a context of Open Innovation. To study these scientific-technological collaboration networks within an Open Innovation context, the case study of Iberdrola, a Spanish business group dedicated to the production, distribution and marketing of energy, has been chosen. Two methods have been used; the bibliometric method to analyze the Iberdrola scientific network, and patent data analysis, to analyze the technological network. This has been achieved by using the Scopus and PatSeer databases, and refining the data with VantagePoint software. It was found that in both cases collaboration takes place with the university, other companies, and research centers. Iberdrola has an extensive scientific and technological collaboration network throughout the world. Both scientific and technological collaboration, despite it not being common practice in companies, nevertheless, it can be concluded that Iberdrola is committed to such collaboration in following with the guidelines of its organizational model based on Open Innovation.Pikatza, N.; Álvarez-Meaza, I.; Río-Belver, RM.; Cilleruelo, E. (2020). Strategic Open Innovation model: mapping Iberdrola network. Editorial Universitat Politècnica de València. https://doi.org/10.4995/CARMA2020.2020.11610OCS13314

TeknoAssistant : a domain specific tech mining approach for technical problem-solving support

This paper presents TeknoAssistant, a domain-specific tech mining method for building a problem-solution conceptual network aimed at helping technicians from a particular field to find alternative tools and pathways to implement when confronted with a problem. We evaluate our approach using Natural Language Processing field, and propose a 2-g text mining process adapted for analyzing scientific publications. We rely on a combination of custom indicators with Stanford OpenIE SAO extractor to build a Bernoulli Naive Bayes classifier which is trained by using domain-specific vocabulary provided by the TeknoAssistant user. The 2-g contained in the abstracts of a scientific publication dataset are classified in either "problem", "solution" or "none" categories, and a problem-solution network is built, based on the co-occurrence of problems and solutions in the abstracts. We propose a combination of clustering technique, visualization and Social Network Analysis indicators for guiding a hypothetical user in a domain-specific problem solving process

News versus Corporate Reputation: Measuring through Sentiment and financial analysis

[EN] Today's companies cannot overlook their reputation if they want to continue to survive. One way to measure that reputation is through two factors: sentiment analysis of news stories in the press about those companies and the financial data of those companies. In this research, the sentiment analysis of news stories about several Euro Stoxx 50 companies for the years 2016 and 2019 has been carried out. For this purpose, the lexicon-based tools VADER and Hu Liu have been used. Then the trends of the results obtained for this  four-year period have been analyzed and compared with the trends in their operating results in the same time period.  The results obtained indicate that there is a high correlation between the sentiments reflected in the news and their operating results, i.e., when news sentiment about a company improves, its reputation also improves, and this causes its sales to increase.  The same is true in the opposite direction.Pikatza-Gorrotxategi, N.; Alvarez-Meaza, I.; Río-Belver, RM.; Zarrabeitia-Bilbao, E. (2022). News versus Corporate Reputation: Measuring through Sentiment and financial analysis. En 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022). Editorial Universitat Politècnica de València. 49-56. https://doi.org/10.4995/CARMA2022.2022.15040495

A Method for the Detection and Characterization of Technology Fronts: Analysis of the Dynamics of Technological Change in 3D Printing Technology

This paper presents a method for the identification of the "technology fronts"-core technological solutions-underlying a certain broad technology, and the characterization of their change dynamics. We propose an approach based on the Latent Dirichlet Allocation (LDA) model combined with patent data analysis and text mining techniques for the identification and dynamic characterization of the main fronts where actual technological solutions are put into practice. 3D printing technology has been selected to put our method into practice for its market emergence and multidisciplinarity. The results show two highly relevant and specialized fronts strongly related with mechanical design that evolve gradually, in our opinion acting as enabling technologies. On the other side, we detected three fronts undergoing significant changes, namely layer-by-layer multimaterial manufacturing, data processing and stereolithograpy techniques. Laser and electron-beam based technologies take shape in the latter years and show signs of becoming enabling technologies in the future. The technology fronts and data revealed by our method have been convincing to experts and coincident with many technology trends already pointed out in technical reports and scientific literature

Design and implementation of a cloud computing adoption decision tool: Generating a cloud road

Migrating to cloud computing is one of the current enterprise challenges. This technology provides a new paradigm based on "on-demand payment" for information and communication technologies. In this sense, the small and medium enterprise is supposed to be the most interested, since initial investments are avoided and the technology allows gradual implementation. However, even if the characteristics and capacities have been widely discussed, entry into the cloud is still lacking in terms of practical, real frameworks. This paper aims at filling this gap, presenting a real tool already implemented and tested, which can be used as a cloud computing adoption decision tool. This tool uses diagnosis based on specific questions to gather the required information and subsequently provide the user with valuable information to deploy the business within the cloud, specifically in the form of Software as a Service (SaaS) solutions. This information allows the decision makers to generate their particular Cloud Road. A pilot study has been carried out with enterprises at a local level with a two-fold objective: To ascertain the degree of knowledge on cloud computing and to identify the most interesting business areas and their related tools for this technology. As expected, the results show high interest and low knowledge on this subject and the tool presented aims to readdress this mismatch, insofar as possible. Copyright: © 2015 Bildosola et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.This work is funded by the program INNPACTO 2011; Project: (2011–2013) Plataforma Inteligente de Gestión Empresarial Basada en Cloud Computing y la WEB 2.0; Project Reference: IPT-2011-1805-430000. The Financing Entity was: Ministerio de Economía y Competitivida

Nuclear energy: Twitter data mining for social listening analysis

Knowing the presence, attitude and sentiment of society is important to promote policies and actions that influence the development of different energy sources and even more so in the case of an energy source such as nuclear, which has not been without controversy in recent years. The purpose of this paper was to conduct a social listening analysis of nuclear energy using Twitter data mining. A total of 3,709,417 global tweets were analyzed through the interactions and emotions of Twitter users throughout a crucial year: 6 months before and 6 months after the beginning of Russian invasion of Ukraine and the first attack on the Zaporizhzhia NPP. The research uses a novel approach to combine social network analysis methods with the application of artificial neural network models. The results reveal the digital conversation is influenced by the Russian invasion of Ukraine. However, tweets containing personal opinions of influential people also manage to enter the digital conversation, defining the magnitude and direction of the debate. The digital conversation is not constructed as a public argument. Generally, it is a conversation with non-polarized communities (politics, business, science and media); neither armed conflict or military threats against Zaporizhzhia NPP succeed in rousing anti-nuclear voices, even though these events do modify the orientation of the sentiment in the language used, making it more negative.Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature