1,721,076 research outputs found

    Study on the Value of the Innovation Partnership

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    This study aims to propose a methodology that public buyers can use during the evaluation and negotiation phase of a contract based on the innovation partnership (IP) procedure, to ensure that no undue price is paid and to compare the offers of different suppliers. After outlining the objectives and organisation, Section 1.2 briefly summarises the elements that characterise – from an economic point of view – an IP-based supply and the related implications that make it difficult to determine a market price. Section 1.3 explains how these issues can be addressed through a methodology, based on the concept of strategic option, and highlights the information needed to apply it in practice. Section 1.4 introduces the operating methods that can be used for the evaluation of these elements; for each of them, it indicates which solution should be chosen according to the characteristics of the specific supply. Section 1.5 addresses some special cases. Finally, the last section identifies a few possible safeguard clauses to be adopted to protect the administration from the risk of a breach of State-aid rules, starting from the proportionality tests provided for in the European Union directives

    La progettazione del sistema di programmazione e controllo negli atenei

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    Il capitolo tratta delle fasi del processo di progettazione del sistema di controllo, della definizione dei suoi obiettivi, del sistema degli indicatori e cruscotti direzionali e del sistema di rilevazione delle informazioni e della contabilità analitic

    Dynamic behavior of a multi-phase asynchronous motor

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    The goal of this paper is the analysis of the dynamic behavior of a multi-phase asynchronous motor. The Power-Oriented Graphs technique has been used for modeling the system and a very simple and compact model has been obtained. The steady-state equations of the system have been studied finding remarkable relations between the motor voltage and current vectors. The eigenvalues of the electrical part of the motor have been mathematically expressed as function of the system parameters. Some simulations have been presented to validate the effectiveness of the model

    Assessing the effect of Massive Open Online Courses as remedial courses in higher education

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    The current study assesses the effect of using Massive Open Online Courses (MOOCs) with the specific goal of providing remedial education. The data refer to an Italian flagship university, Politecnico di Milano, where a MOOC platform was launched following the strategy ‘MOOCs to bridge the gaps’. Hence, the study aims at assessing the effect of students completing a MOOC taken as a foundation course in physics on their ability to pass the subsequent on-campus exam in physics (N = 2,830). The research used Propensity Score Matching (PSM), basing the propensity scores on personal and academic information about the students. The results show that completers are 7 to 16 percentage points more likely to pass the related exam than the other students enrolled in the same MOOCs. These findings support the idea that using MOOCs for remedial purposes is effective in terms of student achievement within a formal education context

    Uncovering value creation in innovation ecosystems: paths towards shared value

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    Purpose: Although innovation ecosystems (IEs) are generally considered capable of creating shared value (SV), this potentiality has often been taken for granted and not deeply analysed, yet. As a result, in the literature, there is not a framework that defines the process of SV creation in IEs or which aspects should be considered for understanding it. Moving from these considerations, this paper aims to propose a conceptual model of how IEs can create SV, identifying the main building blocks of the process and the aspects that characterize these building blocks. Design/methodology/approach: The authors reviewed the literature on IEs and value creation over the last 15 years, by structurally analysing 120 articles. On the basis of such review, the authors identified main dimensions of analysis focusing on the conceptualization of SV in IEs. Findings: First, the authors developed a conceptual model relying on a process-based logic and framing the SV creation in terms of inputs, here intended as four key characteristics (actors, structure, governance and relations), internal processes (strategies and internal mechanisms) and outputs (the value created). Second, each element of value creation is explored, highlighting the main evidence emerging from prior studies in connection to each block. Originality/value: This paper drives the identification of some relevant relationships that connect the characteristics of the IEs, the strategies and the internal mechanisms to the output of the process, i.e. the SV created

    Multiphase Induction Motor Control

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    This chapter presents a new complex dynamic model of a multiphase induction motor considering an arbitrary number of stator and rotor phases and including the odd order harmonic injection. Starting from the machine equations, the indirect rotor field-oriented control (IRFOC) is extended to the multiphase general case. Finally, some simulation results are presented in the specific case of a five-phase induction motor. The power-oriented graphs (POG) technique is a graphical energy-based technique particularly suitable for modeling dynamic physical systems. The basic structure of a multiphase star-connected induction motor is shown in the chapter. The electrical and mechanical parameters of the motor are listed in a table. All the electrical parameters of the motor have been obtained connecting in series the p polar couples of the motor. This edition first published 2013 © 2013 John Wiley & Sons, Ltd

    Exploring how different innovation ecosystems create shared value: insights from a multiple case study analysis

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    Purpose: Innovation ecosystems (IEs) have attracted the attention of policymakers and researchers because of their potential to positively affect territories, creating shared value. However, due to the fragmentation of IEs, how this happens in different IEs has been explored only partially. This research aims to bridge this gap, aiming to support policymakers in understanding how to foster shared value in diverse IEs. Design/methodology/approach: The paper identifies, based on the literature, two “drivers of aggregation” of IE’s actors as key dimensions characterizing shared value in IEs, namely physical proximity and dominant issue. If these are combined, three archetypes emerge: Hub- and Chain-Driven, Place-Driven, Competence- and Issue-Driven IEs.Then, elements useful for understanding shared value creation in these archetypes are framed and studied in real cases. Findings: Results reveal that aggregation drivers affect shared value creation, which differ among archetypes: in Competence- and Issue-Driven IEs alignment is challenged by the low physical proximity, which in Place-Driven IEs is high, but not enough to grant shared value; in Hub- and Chain-Driven IEs, the hub is the orchestrator, representing both a driver and a risk. Originality/value: Differences in shared value creation processes relate to the set-up of the IE, which has relevant implications for policy definition. In Competence- and Issue Driven IEs, policies at diverse levels align in funding and promoting the IE; in Place-Driven IEs, policies support anchors’ development on-site; in Huband Chain-Driven IEs, policies, sometimes absent, should foster partnerships for projects for the territory, IE’s enlargement and resilience

    Factors Driving University Choice: A Principal Component Analysis on Italian Institutions

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    [EN] When investigating students’ motivations to enroll in university, a wide range of elements related to the overall student experience concerning both the institution and the surrounding context should be taken into account. The current study moves from this point to analyse students’ choice factors from a survey completed by 27,705 students across 23 Italian institutions by means of a logistic Principal Component Analysis. Results confirm the presence of multiple factors jointly influencing students’ choice, with geographical proximity, job opportunities in the region, university reputation and ease of access opposing one another. Aggregating results at institutional level, students’ distribution prove to be highly heterogeneous across universities. From this, a managerial tool is provided to position student population and derive strategic implications.  Finally, policy considerations are reported.http://ocs.editorial.upv.es/index.php/HEAD/HEAD18Azzone, G.; Soncin, M. (2018). Factors Driving University Choice: A Principal Component Analysis on Italian Institutions. Editorial Universitat Politècnica de València. 733-741. https://doi.org/10.4995/HEAD18.2018.8076OCS73374
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