1,721,069 research outputs found

    Commessa di ricerca “Modelli e architetture tecnologiche per l’Azienda Digitale”

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    Sviluppo di modelli innovativi basati sull'uso intensivo delle tecnologie dell'Internet of Things (IoT) conferito da Mediatica Sp

    Le performance innovative del sistema industriale italiano: confronto con gli altri paesi industrializzati e implicazioni di policy

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    This paper presents an analysis of the innovative performances of the Italian industrial system compared with the others industrialized countries. The main finding of this analysis is that innovative performances are limited by (a) the large number of small and micro enterprises and, conversely, the smaller percentage of medium and large enterprises; (b) the reduced role of the high and medium-high technology industries and of the knowledge-based services in the economic system; (c) the low tendency of Italian firms to invest in innovation and in R&D compared to the international competitors; (d) the decline of some historical industrial districts. To face this problems Italy needs some policies to increase the demand for innovation and for R&D. We propose (a) to increase the liberalization of the economic system; (b) to improve the efficiency of the financial system and to foster its shift from a “relationship-based” system to an “arm’s length” system; (c) to improve the corporate governance; (d) to sustain the development of a venture capital industry; (e) to adopt some best practices in the public procurement field as leverage to increase the public demand of technologies and innovation; (f) to adopt some best-practices of industrial policy to foster the development of high-technology industry

    “Analisi aggiornata della domanda tecnologica del territorio brindisino in alcuni settori di riferimento, nell’ambito del progetto ILO2 UTTB”

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    sviluppo di un'analisi dei fabbisogni tecnologici delle azinede del terriorio di brindisi conferita da ENE

    Analisi comparata del sistema scientifico italiano e alcune indicazioni di policy

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    In questo articolo, viene presentata un’analisi comparata, basata su serie storiche, delle prestazioni del sistema scientifico italiano, tendente a sfatare diversi luoghi comuni che alimentano il dibattito relativo alle riforme e ad offrire alcune indicazioni di ‘policy’. L’analisi si concentra su due aspetti principali: (1) La produttività della spesa per la R&S e dei ricercatori, confrontata con la media dei 15 paesi dell’UE; (2) L’efficacia del sistema scientifico italiano rispetto ad alcuni obiettivi di innovazione, attraverso un confronto della qualità scientifica e della specializzazione relativa alla media dei paesi OCSE in alcuni settori scientifici e tecnologici strategici

    Regional innovation in the digital economy: an holistic conceptual framework

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    In this paper we describe a conceptual framework for innovation creation and regional growth in the Digital Economy. The view taken in this paper is that the innovation processes and the spatial organization of economic activities are strongly affected by the new competitive environment, usually defined as Digital Economy, generated by the evolution of the Information and Communication Technologies (ICT) and the related structural adjustments of which the globalization is the most evident. The assumptions on which the conceptual framework is based are: - Innovation and growth can be interpreted in terms of co-evolution of technologies and structures (following an evolutionary approach to the economic change); - Innovation processes strongly depend on the learning and knowledge creation capabilities of the agents of the system; - The Global Economy is characterized by the increasing mobility of firm specific resources and capabilities - especially knowledge-related assets - and by the growing significance of cross border transactions; - The spatial patterns of growth and the unequal distribution of innovation clusters within the same country privilege a regional level of analysis; - The phenomenology about the national innovation systems and the dynamics of the new global environment require the establishment of linkages with the national and global levels. In our conceptual framework growth is related to innovation and innovation in turn is related to learning processes and knowledge creation processes that take place in a region. These processes involve firms but also formal organizations like Universities, local government, etc. other than individuals. What is changing in the new environment is that: - The Digital Economy is accelerating the learning and knowledge creation processes, so that competitiveness increasingly depends on their speed. As for organizations, to manage efficiently these processes we introduce the Intellectual Capital concept also for regions. In the Intellectual Capital framework the dynamic, and hence the evolution, of the system is generated by the mutual interactions among Human, Social, and Structural Capital; - The Global Economy requires a new perspective in the regional-national-global dynamic of the economic system. In terms of policy implications, we propose three linkages that a region should develop to connect its innovation system to the rest of the world and hence to sustain the dynamic of the Intellectual Capital framework. These linkages are:Trade and financial markets linkages that, according to the recent survey of the International Monetary Fund, represent channels for transmitting disturbances internationally. These linkages determine the structure of economic interdependence among the major advanced economies; - Human Capital markets (i.e. to the talents market) linkages. A knowledge-based economy require the access to and the development of skills and competencies; - Global learning system linkages. These linkages, strongly enabled by the ICTs, allow the access to the knowledge universally generated for example from Universities, research centres, etc. but also to the knowledge created from the MNEs through Foreign Direct Investments, strategic alliances, etc

    Assessing the Efficiency of a PSS Solution for Waste Collection: A Simulation Based Approach

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    AbstractDriven by both policy pressures and environmental concerns, new business models are becoming applied in waste management mainly based on introducing more equitable and sustainable pricing schemes (e.g. “pay-as-you-throw”): the aim is to support the transition from a tax based system to a pure service based approach, where the user pays for the actual use of the waste management service provided. This new trend requires the service provider's activities to be planned with a schedule that reflects the actual users’ needs in order to reach a real efficiency in the collection phase: dynamic routing and scheduling schemes, which could be enabled through the application of smart technologies, can lead to a more rational use of the resources. In the last decade, technological progresses allowed a growing use of IoT (Internet-of-Things) applications in the service sector; recent pilot applications are being tested also in waste management; one example is the introduction of bin level detection and data transmission technologies for waste collection. This work aims to contribute to the assessment of IoT-based PSS solutions for waste collection. The main objective is to evaluate the cost efficiency of a PSS for waste collection enabling dynamic scheduling, comparing it to the performance of more common schemes (e.g. fixed routing and scheduling service and call-based service). Hybrid simulation modelling – based on system dynamics, discrete events and agent based modelling- has been applied to test the transition from a fixed to a “pay-as-you-throw” fee in WEEE (waste from electrical and electronic equipment). A test case regarding an Italian municipality has been proposed to assess quantitative results based on a simulation model

    The virtualness strategy of the e-Business Management School

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    The purpose of this paper is to descrive the "virtualness" strategy of the e-Business Management School (eBMS), i.e. the strategy to enable a virtual organization to achieve advance education and research
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