Has Excel Become a ‘‘Golden Hammer’’: The Paradox of Data Analytics in SME Clusters

Abstract

Demand for data analysis skills in the accounting profession is well-documented and necessarily informs accounting curriculum and pedagogy. This empirical survey study focuses on small-and medium-sized entities (SMEs). SME cluster research suggests different adoption rates for technology between this segment and large firms. Investigating SME demands for skills and abilities of new job entrants differs from the large organizations that served as the original drivers of analytic skills and technology recommendations. Findings in this study suggest SMEs continue performing their leading accounting tasks using Excel spreadsheets and lag in adoption of data analytics technology. SMEs are a significant business sector in the economy, competing with large firms but with fewer resources. The findings presented here may inform educators in SME markets regarding SME firms’ need for a unique skillset from new hires.

Department(s)

Pendleton Family School of Accountancy

Document Type

Article

DOI

10.2308/JETA-2020-051

Keywords

accounting curriculum, data analytics, Excel spreadsheets, practitioner survey, small and medium entities, SME clusters

Publication Date

9-1-2022

Journal Title

Journal of Emerging Technologies in Accounting

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