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Niccolò Fiorini

Biographic Data

ID9178704
NAMENiccolò Fiorini
GIVEN NAMESNiccolò
FAMILY NAMEFiorini
SIGNATUREFIORINI N
AFFILIATIONSUniversity of Siena
ORCID0000-0002-8734-5858
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2023
H-INDEX0
  • The actors’ role in industrial districts facing the challenge of technologies 4.0 between absorption and dissemination

    Niccolò Fiorini, Tommaso Pucci et al.•ARTICLE•European Planning Studies•2023

    Industry 4.0 (I.4.0) has a significant impact on firms, supply chains and in contexts where firms have built tight relations with high levels of interactions in a delimited geographical area. An industrial district (ID) represents an extraordinary field for empirical investigation to understand how the knowledge linked to the I.4.0 technological paradigm can be absorbed and disseminated. However, the current literature has focused its attention o…

  • Unleashing the value of artificial intelligence in the agri-food sector

    Open Access•Meriam Trabelsi, Elena Casprini et al.•ARTICLE•British Food Journal•2023

    Purpose This study analyses the literature on artificial intelligence (AI) and its implications for the agri-food sector. This research aims to identify the current research streams, main methodologies used, findings and results delivered, gaps and future research directions. Design/methodology/approach This study relies on 69 published contributions in the field of AI in the agri-food sector. It begins with a bibliographic coupling to map and id…

  • Exploring the Power of Electronic Word-of-Mouth in the Services Industry

    Hans-Ruediger Kaufmann, Matteo Devigili et al.•BOOK•Exploring the Power of Electronic…•2020

    This chapter explores the elements influencing online reviews’ usefulness by focusing on the language that consumers use when writing online reviews and on reviewers’ attributes. By using text mining tools, the authors investigate how reviews’ language affects their usefulness perception (i.e., the number of times readers have marked them as useful). The dataset consists of more than 54,000 online reviews from the most frequently used e-WOM sourc…

No prominent works on this page.

  • Exploring the Power of Electronic Word-of-Mouth in the Services Industry

    Hans-Ruediger Kaufmann, Matteo Devigili et al.•BOOK•Exploring the Power of Electronic…•2020

    This chapter explores the elements influencing online reviews’ usefulness by focusing on the language that consumers use when writing online reviews and on reviewers’ attributes. By using text mining tools, the authors investigate how reviews’ language affects their usefulness perception (i.e., the number of times readers have marked them as useful). The dataset consists of more than 54,000 online reviews from the most frequently used e-WOM sourc…

  • The actors’ role in industrial districts facing the challenge of technologies 4.0 between absorption and dissemination

    Niccolò Fiorini, Tommaso Pucci et al.•ARTICLE•European Planning Studies•2023

    Industry 4.0 (I.4.0) has a significant impact on firms, supply chains and in contexts where firms have built tight relations with high levels of interactions in a delimited geographical area. An industrial district (ID) represents an extraordinary field for empirical investigation to understand how the knowledge linked to the I.4.0 technological paradigm can be absorbed and disseminated. However, the current literature has focused its attention o…

  • Unleashing the value of artificial intelligence in the agri-food sector

    Open Access•Meriam Trabelsi, Elena Casprini et al.•ARTICLE•British Food Journal•2023

    Purpose This study analyses the literature on artificial intelligence (AI) and its implications for the agri-food sector. This research aims to identify the current research streams, main methodologies used, findings and results delivered, gaps and future research directions. Design/methodology/approach This study relies on 69 published contributions in the field of AI in the agri-food sector. It begins with a bibliographic coupling to map and id…

Business (3 works) · Computer Science (3 works) · Economics (2 works) · Advertising (1 works) · Agriculture (1 works) · Date Palm Research Studies (1 works) · Digital Marketing and Social Media (1 works) · Digital Transformation in Industry (1 works) · Economic and Technological Innovation (1 works) · Economy (1 works)

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