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dc.contributor.authorDrydakis, Nick
dc.date.accessioned2022-04-10T01:02:40Z
dc.date.available2022-04-10T01:02:40Z
dc.date.issued2022-03-04
dc.identifier.issn1387-3326
dc.identifier.other35261558
dc.identifier.otherPMC8893980
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/335956
dc.description.abstractThe 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.
dc.languageeng
dc.publisherSpringer Science and Business Media LLC
dc.sourcenlmid: 101685853
dc.sourceessn: 1572-9419
dc.subjectArtificial intelligence
dc.subjectDynamic Capabilities
dc.subjectSmes
dc.subjectCovid-19 Pandemic
dc.subjectBusiness Risks
dc.titleArtificial Intelligence and Reduced SMEs' Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic.
dc.typeArticle
dc.date.updated2022-04-10T01:02:38Z
prism.endingPage25
prism.publicationNameInf Syst Front
prism.startingPage1
dc.identifier.doi10.17863/CAM.83388
dcterms.dateAccepted2022-01-19
rioxxterms.versionofrecord10.1007/s10796-022-10249-6
rioxxterms.versionVoR
dc.contributor.orcidDrydakis, Nick [0000-0001-9827-6678]
dc.identifier.eissn1572-9419
cam.issuedOnline2022-03-04


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