J&S Publisher Problems: A Diagnostic Analytics Case Exploring Employee Expense Reimbursement

Abstract

ABSTRACT This paper aims to help students further understand employee reimbursement schemes, while simultaneously advancing the integration of data analytics in the accounting curriculum. The learning activity takes students through a comprehensive data analytics cycle to determine the root cause of employee expense reimbursement increases. The ability to leverage data analytics and possess technological agility to address business questions is an important skillset. Our paper contributes to the literature by presenting a resource that promotes the acceleration of integrating data analytics across the curriculum. The case topic is applicable to many classes, including audit (both external and internal), accounting information systems (AIS), financial, or forensic accounting, thereby promoting compliance with new accreditation standards requiring analytics throughout the curriculum. This case study helps expand the coverage of data analytics and learning experiences that emphasize the integration of information technology in the accounting curriculum. JEL Classifications: M40; M41; M42.