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dc.contributor.authorTüregün, Nida
dc.date.accessioned2020-07-07T07:04:52Z
dc.date.available2020-07-07T07:04:52Z
dc.date.issued2019-07-08
dc.identifier.issn1044-8136en_US
dc.identifier.urihttp://hdl.handle.net/10679/6717
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/abs/10.1002/jcaf.22394
dc.description.abstractSince the beginning of the 21st century, there is no doubt that humanity has made a huge step forward in the field of robotics. In the next 20 years, financial reporting will see a stronger change thanks to machine learning, artificial intelligence, block chain, and big data usage. With the convergence of artificial intelligence and block chain, it is now clear that in the near future the work of the accounting profession will be supported by automation. Thus, the aim of the study to introduce the effects of technological changes and transformations on the future of financial reporting. The study first introduces technological tools and provides an overview of the advantages and threats of technological changes to financial reporting. Then, the study provides a case of Amazon Go to display the transformation of financial reporting with the technological changes.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.relation.ispartofThe Journal of Corporate Accounting & Finance
dc.rightsrestrictedAccess
dc.titleImpact of technology in financial reporting: The case of Amazon Goen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-1912-5095 & YÖK ID 253405) Türegün, Nida
dc.contributor.ozuauthorTüregün, Nida
dc.identifier.volume30en_US
dc.identifier.issue3en_US
dc.identifier.startpage90en_US
dc.identifier.endpage95en_US
dc.identifier.wosWOS:000474648200008
dc.identifier.doi10.1002/jcaf.22394
dc.subject.keywordsAccountingen_US
dc.subject.keywordsAmazon Goen_US
dc.subject.keywordsArtificial intelligenceen_US
dc.subject.keywordsFinancial reportingen_US
dc.subject.keywordsTechnological changesen_US
dc.identifier.scopusSCOPUS:2-s2.0-85078309195
dc.relation.publicationcategoryArticle - International Refereed Journal - Institution Academic Staff


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