{"title":"Reuse and Recycle: Infusing Practice-Driven Cases with New Life through New Technologies","authors":"Joy Gray, Lorraine S. Lee","doi":"10.2308/jeta-2021-018","DOIUrl":null,"url":null,"abstract":"\n This paper takes the perspective of enhancing data analytics skills and technology agility in the accounting curriculum by repurposing existing practice-driven cases with new tools and technologies. Through a brief literature review of existing recommendations from academics and practice, we identify current dominant data analytics tools. We then examine the data analytics teaching cases available from practice, specifically those from the Big 4-sponsored foundations. We propose a methodology for instructors to infuse existing cases with updated technology and tools to provide students with comprehensive learning opportunities and encourage technology agility. We provide an example of how this can be done by updating an existing case from the EY Academic Resource Center, integrating Excel and Access with Alteryx, Tableau, and Python.","PeriodicalId":45427,"journal":{"name":"Journal of Emerging Technologies in Accounting","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Emerging Technologies in Accounting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2308/jeta-2021-018","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
This paper takes the perspective of enhancing data analytics skills and technology agility in the accounting curriculum by repurposing existing practice-driven cases with new tools and technologies. Through a brief literature review of existing recommendations from academics and practice, we identify current dominant data analytics tools. We then examine the data analytics teaching cases available from practice, specifically those from the Big 4-sponsored foundations. We propose a methodology for instructors to infuse existing cases with updated technology and tools to provide students with comprehensive learning opportunities and encourage technology agility. We provide an example of how this can be done by updating an existing case from the EY Academic Resource Center, integrating Excel and Access with Alteryx, Tableau, and Python.