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dc.contributor.authorChurch, Kimberly Swanson
dc.contributor.authorRiley, Jennifer
dc.contributor.authorSchmidt, Pam J.en_US
dc.dateNovember 2020
dc.date.accessioned2023-02-06T21:36:14Z
dc.date.available2023-02-06T21:36:14Z
dc.date.issued2020-11-1
dc.identifier.otherSchool of Business Working Paper Series; No. 234en_US
dc.identifier.urihttps://wuir.washburn.edu/handle/10425/3050
dc.description.abstractDemand for data analysis skills in the accounting profession is well documented and necessarily informs accounting curriculum and pedagogy. In this studyl, we find small and medium-sized entities (SMEs) use Excel spreadsheets extensively for their data analytics tasks. As a result, their demands for skills and abilities of new job entrants may differ from the large organizations that serve as the original drivers of analytic skills and technology recommendations. SMEs comprise approximately 95-99% of firms in the U.S. economy, created 65% of new jobs from 2000-2018 (US SBA 2019), and compete with large firms using scarce financial and labor resources. The contribution of this study is to address the void in accounting research on the current state of data analytics technology and skills in SMEs and to encourage accounting educators to build a base of accessible knowledge for SMEs to take advantage of the potential benefits of emerging introductory data analytics.en_US
dc.description.sponsorshipKaw Valley Banken_US
dc.format.mediumPDFen_US
dc.language.isoen_USen_US
dc.publisherWashburn University. School of Businessen_US
dc.subjectAccounting - Data processingen_US
dc.subjectAccounting - United Statesen_US
dc.subjectInformation technologyen_US
dc.titleHas Excel Become a 'Golden Hammer': The Paradox of Data Analytics in SME Clustersen_US
dc.typeWorking Paperen_US


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