The article provides a new way of representing the actors and relationships of a university-type innovation ecosystem based on knowledge. Thanks to this new representation, an analysis and management of knowledge flows is enabled not only qualitatively, but also quantitatively, being possible to use well-known tools such as the Social Network Analysis (SNA). Through this contribution, it is possible to analyze both the behavior of the actors individually and of the ecosystem as a whole in university-type innovation ecosystems, which contributes to add new knowledge of great relevance for decision-making. Using this new analysis framework, in the present paper is analyzed the dynamism of innovation ecosystems through the assessment of entrepreneurship role, which is tested within the Universidad Politicnica de Madrid (UPM) case. In addition, to show the potential of this new framework, a series of new concepts is introduced, such as connectors and events, which act as activators for the improvement of the structure and dynamism of the innovation ecosystem.

The management of educational policies is a complex issue. There are complexities related to the country’s organizational system (competencies delegated by different areas in some cases), and to the limited resources in the educational system. In addition, there are many variables that need to be managed: ICT resources, special educational needs, human resources available, the socioeconomic characteristics of each district, etc. These types of issues are similar to those dealt with by strategic intelligence management. In this field, commonly included within innovation management, methodological frameworks are established that enable collection and consolidation of data from various sources and their subsequent exploitation to enhance decision-making based on previously identified needs. This article presents the details of a pilot plan aimed at implementing a framework for strategic intelligence management in the educational management system of the Community of Madrid (Spain). These intelligence systems are difficult to deploy in educational organizations that have highly fragmented management as in the case described in our pilot plan, although their implementation leads to more correct and agile decision-makings. This paper describes the steps carried out to define the new management platform requirements, its technical implementation issues, and the validation results that demonstrate its functional validity and acceptance by end-users participating in the described pilot project.

Purpose: 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.Design/methodology/approach: 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.Findings: 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”.Originality/value: 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.

Algorithmic pricing may lead to more efficient and contestable markets, but high-impact, low-probability events such as terror attacks or heavy storms may lead to price gouging, which may trigger injunctions or get sellers banned from platforms such as Amazon or eBay. This work addresses how such events may impact prices when set by an algorithm and how different markets may be affected. We analyze how to mitigate these high-impact events by paying attention to external (market conditions) and internal (algorithm design) features surrounding the algorithms. We find that both forces may help in partially mitigating price gouging, but it remains unknown which forces or features may lead to complete mitigation.

The present article analyzes the rationale, types, experience, and potentiality of applying open innovation models in organizations to conduct their research and development (R&D) activities. In order to carry out R&D activities and to demonstrate the utility and applicability of innovation models, a new methodology is developed for the creation of profiles of open innovation models. The comparison of thirty different companies analyzed and later classified in competitiveness matrices, allows a given organization to know what its margins of improvement are. Therefore, along eight dimensions of identified innovation activities, the outcomes demonstrate the high value of the use of this methodology by organizations to increase their levels of R&D and innovation.