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This paper aims to present an impact analysis in the educational dimension of the European Institute of Innovation and Technology (EIT) and specifically on its “knowledge and innovation community” (KIC), focused on the information and communications technology sector named “EIT Digital” in the university field.

After reviewing the current situation on education in ICT-related engineering and the need to address new professional profiles and/or complement the current ones to increase the value of the new professionals in a globalised society, the principles behind the EIT model are analysed, taking the experience accumulated in EIT Digital as a basis for discussion at master level.

The conceptual framework on “what” and “how” of the EIT described from the educational perspective constituted sound bases for ensuring the value of the EIT KICs as drivers for institutional innovation and structural reform. As the practical experience of Universidad Politécnica de Madrid (UPM) shows, the policy experimentation space provided by EIT Digital has acted as an internal transformation driver for European universities. It has played a key role to accelerate structural reforms once partner universities assumed the need of modifying or reinterpreting “any internal regulation to participate better in the EIT”.

This analysis is used as a basis for the design of an institutional agenda of education transformation in the rest of the UPM where the innovation and entrepreneurship vision is inserted into the technical education to give future professionals the tools and capacities to serve as catalyser agents of the innovation system.

The purpose of this study, based on the theory of planned behaviour (TPB) and digital entrepreneurship literature, is to unveil the role of digital entrepreneurial knowledge and entrepreneurial role models in shaping digital entrepreneurial intentions (DEIs) among Saudi Youth through a moderated mediation perspective. This study aims to propose that the relationship between digital entrepreneurial knowledge and intention is mediated by main TPB antecedents under the moderating role of entrepreneurial role models.

Data were collected from a sample of 487 Saudi students from three main Saudi public universities located in Riyadh using an online survey questionnaire. By applying SEM, this study builds and tests the measurement and structural models to examine the hypothesised relationships among main variables.

Results revealed that the main antecedents of TPB (namely, attitudes towards digital entrepreneurship and perceived control behaviour) are significantly related to DEI. In addition, digital entrepreneurial knowledge indicates indirect effects on intentions via these two antecedents. However, entrepreneurial role models exert only a negative and significant moderating effect on the relationship between perceived behaviour control and DEI.

This study contributes to the literature by showing how most of the TPB antecedents can play a mediating role between digital entrepreneurial knowledge and the intentions of Saud Youth. The main limitation of this study is that it was not possible to generalise the findings. Future research directions are proposed to add new insights.

The results of this study have clear implications for both theory (entrepreneurship scholars) by investigating DEI and its determinants and for practice (entrepreneurship educators and policymakers) by promoting digital entrepreneurship among youth through university-based awareness and building capability programs and curricula.

The study helps to understand the role of digital entrepreneurial knowledge in shaping DEI through the development of an extended TPB intention-based model. The findings also indicate that digital entrepreneurial knowledge has indirect effects on Youth's intentions. The findings show insights related to the influence of entrepreneurial role models on TPB antecedents in the transitional context of Saudi Arabia.

Additive manufacturing requires a systemic approach to help industry on technology applicability research. Towards this end, the purpose of this research is to help manufacturing business leaders decide whether digitalised manufacturing based on additive manufacturing are suitable for engineering applications and help them plan technology transfer decisions.

The methodology is based on case study research and action research, involving a mix of quantitative and qualitative research methods. The empirical part involved the study of the fatigue life of industrial component manufactured by laser sintering as well as a combination of quantitative and qualitative methods to define a strategic decision-making.

Laser-sintered plastic materials are suitable in end use automotive applications, especially when there are multiple product variations. Fatigue life of the tested coupling meets the design requirements. Additionally, production of mechanical parts can be substituted by additive methods while digitalising the manufacturing process to gain productivity, especially when there is a need for mass-customisation.

This research relies on a single case study research. The application used is unique and its technical empirical data cannot be transferred directly to other applications.

Industry practitioners can use this research to shed light on technology transferability challenges considering technical feasibility of additive polymer materials, economic aspects as well as strategic implications for implementing digitalised manufacturing methods based on additive manufacturing.

This research presents a combined study of technical and strategic factors for additive manufacturing transferability using an industrial mass-customisation case as an example. In addition, a new cost comparison model is presented including the impact of geometry variations.

This paper aims at providing a comparative analysis of the existing protocols that address the security issues in the Future Internet (FI) and also to introduce a Collaborative Mutual Identity Establishment (CMIE) scheme which adopts the elliptical curve cryptography (ECC), to address the issues, such as content integrity, mutual authentication, forward secrecy, auditability and resistance to attacks such as denial-of-service (DoS) and replay attack.

This paper provides a comparative analysis of the existing protocols that address the security issues in the FI and also provides a CMIE scheme, by adopting the ECC and digital signature verification mechanism, to address the issues, such as content integrity, mutual authentication, forward secrecy, auditability and resistance to attacks such as DoS and replay attack. The proposed scheme enables the establishment of secured interactions between devices and entities of the FI. Further, the algorithm is evaluated against Automated Validation of Internet Security Protocols and Application (AVISPA) tool to verify the security solutions that the CMIE scheme has claimed to address to have been effectively achieved in reality.

The algorithm is evaluated against AVISPA tool to verify the security solutions that the CMIE scheme has claimed to address and proved to have been effectively achieved in reality. The proposed scheme enables the establishment of secured interactions between devices and entities of the FI.

Considering the Internet of Things (IoT) scenario, another important aspect that is the device-to-location (D2L) aspect has not been considered in this protocol. Major focus of the protocol is centered around the device-to-device (D2D) and device-to-server (D2S) scenarios. Also, IoT basically works upon a confluence of hundreds for protocols that support the achievement of various factors in the IoT, for example Data Distribution Service, Message Queue Telemetry Transport, Extensible Messaging and Presence Protocol, Constrained Application Protocol (CoAP) and so on. Interoperability of the proposed CMIE algorithm with the existing protocols has to be considered to establish a complete model that fits the FI. Further, each request for mutual authentication requires a querying of the database and a computation at each of the participating entities side for verification which could take considerable amount of time. However, for applications that require firm authentication for maintaining and ensuring secure interactions between entities prior to access control and initiation of actual transfer of sensitive information, the negligible difference in computation time can be ignored for the greater benefit that comes with stronger security. Other factors such as quality of service (QoS) (i.e. flexibility of data delivery, resource usage and timing), key management and distribution also need to be considered. However, the user still has the responsibility to choose the required protocol that suits one’s application and serves the purpose.

The originality of the work lies in adopting the ECC and digital signature verification mechanism to develop a new scheme that ensures mutual authentication between participating entities in the FI based upon certain user information such as identities. ECC provides efficiency in terms of key size generated and security against main-in-middle attack. The proposed scheme provides secured interactions between devices/entities in the FI.

In recognising the key role of business intelligence and big data analytics in influencing companies’ decision-making processes, this paper aims to codify the main phases through which companies can approach, develop and manage big data analytics.

By adopting a research strategy based on case studies, this paper depicts the main phases and challenges that companies “live” through in approaching big data analytics as a way to support their decision-making processes. The analysis of case studies has been chosen as the main research method because it offers the possibility for different data sources to describe a phenomenon and subsequently to develop and test theories.

This paper provides a possible depiction of the main phases and challenges through which the approach(es) to big data analytics can emerge and evolve over time with reference to companies’ decision-making processes.

This paper recalls the attention of researchers in defining clear patterns through which technology-based approaches should be developed. In its depiction of the main phases of the development of big data analytics in companies’ decision-making processes, this paper highlights the possible domains in which to define and renovate approaches to value. The proposed conceptual model derives from the adoption of an inductive approach. Despite its validity, it is discussed and questioned through multiple case studies. In addition, its generalisability requires further discussion and analysis in the light of alternative interpretative perspectives.

The reflections herein offer practitioners interested in company management the possibility to develop performance measurement tools that can evaluate how each phase can contribute to companies’ value creation processes.

This paper contributes to the ongoing debate about the role of digital technologies in influencing managerial and social models. This paper provides a conceptual model that is able to support both researchers and practitioners in understanding through which phases big data analytics can be approached and managed to enhance value processes.

The aim of this paper is to introduce and to evaluate the performance of a multiple frequency complex impedance reconstruction for fabric-based EIT pressure sensor. Pressure mapping is an important and challenging area of modern sensing technology. It has many applications in areas such as artificial skins in Robotics and pressure monitoring on soft tissue in biomechanics. Fabric-based sensors are being developed in conjunction with electrical impedance tomography (EIT) for pressure mapping imaging. This is potentially a very cost-effective pressure mapping imaging solution in particular for imaging large areas. Fabric-based EIT pressure sensors aim to provide a pressure mapping image using current carrying and voltage sensing electrodes attached on the boundary of the fabric patch.

Recently, promising results are being achieved in conductivity imaging for these sensors. However, the fabric structure presents capacitive behaviour that could also be exploited for pressure mapping imaging. Complex impedance reconstructions with multiple frequencies are implemented to observe both conductivity and permittivity changes due to the pressure applied to the fabric sensor.

Experimental studies on detecting changes of complex impedance on fabric-based sensor are performed. First, electrical impedance spectroscopy on a fabric-based sensor is performed. Secondly, the complex impedance tomography is carried out on fabric and compared with traditional EIT tank phantoms. Quantitative image quality measures are used to evaluate the performance of a fabric-based sensor at various frequencies and against the tank phantom.

The paper demonstrates for the first time the useful information on pressure mapping imaging from the permittivity component of fabric EIT. Multiple frequency EIT reconstruction reveals spectral behaviour of the fabric-based EIT, which opens up new opportunities in exploration of these sensors.

This paper aims to describe a variety of accessibility initiatives implemented at the Michigan State University (MSU) Libraries to better support persons with disabilities who want to use and access library services and resources.

By using two campus accessibility policies to help expand and improve its accessibility efforts, the MSU Libraries implemented accessibility purchasing procedures for e-resources; drafted a five-year accessibility plan, which launched an extensive multi-year staff accessibility training plan and detailed plans for content accessibility and accessibility investment; dedicated additional library staff positions and time to accessibility; drafted an accessibility statement and website documentation; established an in-house remediation service; increased library web page and collection remediation; and began leading efforts related to vendor e-resource accessibility in the Big Ten Academic Alliance library consortium.

As a result of these many accessibility initiatives, the MSU Libraries has thought strategically about and taken action on constantly improving its accessibility in a variety of areas; provided or hosted 29 staff accessibility training sessions; implemented new accessibility positions, roles and services; and helped influence and improve library e-resource accessibility, especially through its leadership in the Big Ten library consortium.

Most libraries strive to provide welcoming access to information and library services for all users, including persons with disabilities, but resources and literature on comprehensive accessibility initiatives in academic libraries are somewhat limited. The library accessibility initiatives implemented by a large, academic research library shared in this paper will hopefully contribute to the much-needed library and information science literature on this topic.

Electrical impedance measurement and imaging are techniques that are widely used in a range of applications. Electro‐conductive knitted structure is a major new development in wearable computing. The purpose of this paper is to carry out a preliminary investigation of applying electrical impedance analysis to predict the behavior of electro‐conductive knitted structure. This can potentially pave the way for a low‐cost solution for pressure mapping imaging.

Electrical impedance tomography (EIT) has been used as a mapping technique for deformation imaging in conductive knitted fabric. EIT is an imaging system used to generate a map of electrical conductivity. Pressure and deformation mapping scanner is being developed based on electrical conductivity imaging of the conductive area generated in a fabric. The results are presented using these new sensors with various deformations.

Experimental results show the feasibility of qualitative deformation imaging. In particular, it is promising that multiple deformations can be mapped using the proposed technique. The paper also demonstrates preliminary results regarding quantitative pressure and deformation mapping using EIT technique.

The results presented in the paper are laboratory‐based experiments for proof of principle and will be evaluated in specific application areas in future.

The paper shows, for the first time, detection of multiple pressure points as well as quantifying the pressure map using the new imaging sensor. The sensor proposed here can be used for robotic touch sensing application, as well as some biomechanical observations.

The purpose of this paper is to highlight the potential of innovation platforms to realise SDGs targets by focussing in sustainable innovation process related to infrastructure and industrialisation.

Analysis of different policy documents, reports as well as a series of interviews and participatory processes run in 2016–2017 of the EIT Regional Innovation Scheme programme to prototype a knowledge triangle integration (KTI) index.

Preliminary findings show that EIT Climate-KIC operates as an innovation platform that mobilise resources to increases capabilities for climate innovation.

The paper contributes to a better understanding of the complexity of the efforts needed to tackle climate innovation regarding resource mobilisation for KTI processes by focussing on how platforms work in a bottom-up way.

Mechanisms and processes that consolidate local knowledge and strengthen relational assets with regards to climate innovation are important for the realisation of some of the 169 targets of the 2030 Agenda.

The paper aims to present an innovative solution for evaluation study of the dampness level of walls and historical buildings.

Electrical tomography enables one to obtain a distribution pattern of wall dampness. The application of modern tomographic techniques in conjunction with topological algorithms will allow one to perform very accurate spatial assessment of the dampness levels of buildings. The proposed application uses the total variation, Gauss–Newton and level set method to solve the inverse problem in electrical tomography.

Research shows that electrical tomography can provide effective results in damp buildings. This method can provide 2D/3D moisture distribution pattern.

The impact of this technique will be limited to inspection of the facility after floods or assessment of historical buildings.

The presented method could eventually lead to a much more effective evaluation of moisture in the walls.

The solution has commercial potential and could result in more cost-effective monitoring of historical buildings, which have an economic impact on society.

The authors propose a system for imaging spatial moistness of walls and historic buildings based on electrical tomography and consisting of a measuring device, sensors and image reconstruction algorithms.