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Smart University for Sustainable Governance in Smart Local Service Systems

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Advances in Artificial Intelligence, Software and Systems Engineering (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 787))

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Abstract

From the Service Science perspective, our work tends to provide a conceptual and methodological contribution to affirm the role of the university as the responsible agent for the growth and development of a local area. In this sense, the purpose is to promote a harmonious growth of the whole local service system, focused on academic quality and accountability through the approach to Social Responsibility, also involving government, business and society. The University as a place for higher education and research, at the same time, represents a privileged space of convergence of different growth perspectives of the local actors. This convergence should be seen as a “place” to share and develop a common sense of value that is smart, ethically, socially, and economically sustainable, i.e. a Smart Local Service System (S-LSS).

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Author information

Authors and Affiliations

  1. Department of Management Studies and Quantitative Methods, University of Naples “Parthenope”, Naples, Italy

    Clara Bassano, Marco Ferretti & Maria Cristina Pietronudo

  2. Department of Engineering, University of Naples “Parthenope”, Naples, Italy

    Alberto Carotenuto

  3. Department of Economics and Management, University of Trento, Trento, Italy

    Huseyin Emre Coskun

Authors
  1. Clara Bassano
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  2. Alberto Carotenuto
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  3. Marco Ferretti
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  4. Maria Cristina Pietronudo
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  5. Huseyin Emre Coskun
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Corresponding author

Correspondence to Maria Cristina Pietronudo .

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Editors and Affiliations

  1. University of Central Florida, Orlando, Florida, USA

    Tareq Z. Ahram

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Bassano, C., Carotenuto, A., Ferretti, M., Pietronudo, M.C., Coskun, H.E. (2019). Smart University for Sustainable Governance in Smart Local Service Systems. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 787. Springer, Cham. https://doi.org/10.1007/978-3-319-94229-2_20

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