Rosa María Río-Belver

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.

Effects of innovation management system standardization on firms: evidence from text mining annual reports

Using a management formula to standardize innovation management can be thought of as deeply contradictory, however, several successful firms in Spain have been certified under the pioneer innovation management standard UNE 166002. This paper analyzes the effects that standardization has in the attitudes and values as regard to innovation for a sample of firms by text-mining their corporate disclosures. Changes in the relevance of the concepts, co-word networks and emotion analysis have been employed to conclude that the effects of certification on the corporate behavior about innovation are coincident with the open innovation and transversalization concepts that UNE 166002 promotes.

Clusterization and mapping of waste recycling science. Evolution of research from 2002 to 2012

Characterization of waste recycling (WR) research has to start by defining the scope of this scientific area. Previous works and expert assessment recommend the adoption of an inclusive definition, with the aim of including all relevant uses of waste within this study. An ad‐hoc designed “capture” strategy has been used to retrieve WR‐related peer‐reviewed journal papers from selected databases, and the information contained in their author keyword field has been thoroughly cleaned. Author keyword co‐occurrence data have been used for building a similarity measure between keywords, plus cluster analysis for revealing the main WR research being addressed by the scientific community. Results have been further analyzed using advanced visualization tools to determine which clusters formed strongly‐linked research areas that could set the main cognitive divisions of WR science. This process has been repeated with 2002 and 2012 data, and science maps reflecting the main research areas and clusters have been generated. Results show that WR mainly deals with the recovery of basic, widely used raw materials like water and fertile soil. Energy generation and waste management are other relevant fields that show an interesting evolution, revealing signs of growth in research, together with the emergence of sub‐areas reflecting consolidating research specialties.

Forecasting the Big Services Era: Novel Approach Combining Statistical Methods, Expertise and Technology Roadmapping

This paper aims at proposing a novel approach to gathering and structuring information concerning an emerging technology, generating a relevant profile, identifying its past evolution, forecasting the short and medium-term evolution and integrating all of the elements graphically into a hybrid roadmap. The approach combines four families of technological forecasting methods, namely: Statistical Methods in terms of Bibliometrics and Data Mining; Trend Analysis; Descriptive Methods in terms of Technological Roadmapping; and Expertise. Its future application to forecast the evolution of emerging IT trends in current entities, which are creating the Big Services era, is proposed as future work.

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 databases, 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.

Forecasting Cloud Computing: Producing a Technological Profile

Migrating to cloud computing is one of the current enterprise challenges. In this sense, the small and medium enterprise should be the most interested, given that initial investments are avoided and the technology offers gradual implementation. However, 54.9 % of SMEs confess that they have no knowledge of cloud technology. Accordingly, this paper aims at generating a relevant profile of cloud computing technology, as the first part of a novel approach based on four families of technological forecasting methods to gather and structure information concerning an emerging technology, generating a relevant profile, identifying its past development, forecasting the short and medium-term evolution and integrating all of the elements graphically into a hybrid roadmap. The outcome of the approach will raise the awareness of such technology as well as facilitate its implementation.

Efficiency in knowledge transmission in R&D project networks: European renewable energy sector

This study analyses the efficiency in knowledge transmission of organizations and local regions participating in European R&D projects in 2000–2013 within renewable energy (RE) sectors (wind, solar, sea, geothermal, and biomass) using social network analysis (SNA). A review of the collaborative R&D consortium networks as technological transfer structures and public policy support issues was carried out. Then, not only is the traditional SNA centrality perspective of actors employed to identify key players who bridge less connected areas, but also the structural hole approach is applied based on the relative position, role, and potential redundancy of collaborations from the overall network perspective. It reveals that networks of organizations and local regions are neither completely random nor homogenous in terms of cohesion and efficiency. Additionally, the existence of areas between core and peripheral nodes (structural holes) is confirmed. Higher education and research centers, which show a greater in...

Depicting Big Data: Producing a Technological Profile

Emerging Technologies are having a huge impact in the income statement of current enterprises and therefore they must be adopted as soon as possible. Thus, any attempt to introduce the characteristics and evolution of this kind of technologies is helpful for decision makers. In this sense, this paper aims at depicting Big Data, one of these cutting edge technologies, by obtaining a complete profile of it and generating the bases for a valid forecast. The approach is made within the Information Structuring and Technological Forecasting fields, with the application of several methods, namely: Text Mining and Natural Language Processing, Visualization Techniques and Trend Analysis.

Roadmapping towards Sustainability Proficiency in Engineering Education.

Purpose The purpose of this paper is to deliver a roadmap that displays pathways to develop sustainability skills in the engineering curricula. Design/methodology/approach The selected approach to enrich engineering students with sustainability skills was active learning methodologies. First, a survey was carried out on a sample of 189 students to test the current sustainability literacy and determine the roadmap starting point. Next, a scientometric study regarding active learning methodologies was executed. A total of 2,885 articles and conference proceedings from the period 2013-2016 were retrieved from the Web of Science database. The records were then imported into text mining software to undergo a term clumping process. Annual knowledge clusters based on key terms were outputted. Finally, a roadmap was created by experts based on the annual knowledge clusters. Findings Four annual pathways were created along the roadmap to develop sustainability skills during the four-year college course in engineering. The first consisted on promoting a recycling campaign through a circular economy. The second aimed at creating educational videos regarding sustainability. The third reinforced reasoning and argumentative skills by preparing a debate on environmental issues. The last path assumed that the student is working in internship programs and prepared him/her to apply environmental management models to solve sustainability issues within the company. Research limitations/implications Roadmaps should be updated approximately every two years to reflect novelty. The proposed methodology shows an easy way to create them. Practical implications Results from this paper, as well as the proposed methodology, can be applied to any organization forming individuals: from primary school education to employee training programs in organizations. Social implications The development of sustainability skills has a direct, positive impact on professional decision-making and, ultimately, on the environment. Originality/value This paper presents a roadmapping process to develop sustainability competences throughout engineering college education.

Recent Advances in Patent Analysis Network

The databases of patents are considerable, with many authors, as a source of information very valuable within the innovation process. One of the most important methods in patent analysis is based on the citations. The basic concept of patent citation analysis is that there exists a technological linkage between two patents if a patent cites the other. The networks codifying the cited-citing relationship between patents are useful for visualizing the overall status of a given technology and helps the experts in the identification of the technological implications using analysis network techniques. The potential offered by the measuring citations for planning and assessing of policies from Science and Technology is immense. The aim of this paper is to describe the utilities and limitations of the analysis network of patents as well as recent advances.