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  1. Artificial intelligence and reduced SMEs' business risks
    a dynamic capabilities analysis during the COVID-19 pandemic
    Autor*in: Drydakis, Nick
    Erschienen: February 2022
    Verlag:  IZA - Institute of Labor Economics, Bonn, Germany

    The study utilises the International Labor Organization's SMEs COVID-19 pandemic business risks scale to determine whether Artificial Intelligence (AI) applications are associated with reduced business risks for SMEs. A new 10-item scale was... mehr

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    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 4
    Fernleihe:
    keine Fernleihe

     

    The study utilises the International Labor Organization's SMEs COVID-19 pandemic business risks scale to determine whether Artificial Intelligence (AI) applications are associated with reduced business risks for SMEs. A new 10-item scale was developed to capture the use of AI applications in core services such as marketing and sales, pricing and cash flow. Data were collected from 317 SMEs between April and June 2020, with follow-up data gathered between October and December 2020 in London, England. AI applications to target consumers online, offer cash flow forecasting and facilitate HR activities are associated with reduced business risks caused by the COVID-19 pandemic for both small and medium enterprises. The study indicates that AI enables SMEs to boost their dynamic capabilities by leveraging technology to meet new types of demand, move at speed to pivot business operations, boost efficiency and thus, reduce their business risks.

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/252189
    Schriftenreihe: Discussion paper series / IZA ; no. 15065
    Schlagworte: SMEs; business risks; COVID-19; artificial intelligence; dynamic capabilities
    Umfang: 1 Online-Ressource (circa 47 Seiten), Illustrationen