芝加哥爆米花®-使用数据可视化和机器人过程自动化检查在线零售商Nexus跟随Wayfair

IF 1.6 Q3 BUSINESS, FINANCE
Christine Cheng, J. Eagan, Amy J. N. Yurko
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引用次数: 0

摘要

学生们使用数据分析来评估虚构的在线销售数据,并探索南达科他州诉Wayfair,股份有限公司(Wayfair)之后的销售税关系标准。这种情况为教员提供了灵活性。学生可以使用Tableau创建可视化,应用Wayfair或多州标准来识别符合nexus标准的销售州。学生可以使用机器人过程自动化来评估公司是否在特定状态下建立了联系。讲师可以不包括税务研究,也可以从几个相关的税务研究问题中进行选择。从合规或税务风险的角度来看,这种情况可用于本科生或研究生的税务、审计或AIS课程。学习目标是培养学生的:(1)数据分析知识;(2) 了解经济关系,评估税法变化对商业决策的影响;(3) 研究技能;(4) 会计数据分析和数据可视化方面的技能;以及(5)有效的口头和书面沟通技巧。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ChicagoLand Popcorn® - Examining Online Retailer Nexus Following Wayfair Using Data Visualization and Robotics Process Automation
Students use data analytics to evaluate fictitious online sales data and explore sales tax nexus standards following South Dakota v. Wayfair, Inc. ( Wayfair).  This case provides instructors flexibility. Students can use Tableau to create visualizations that identify states with sales satisfying nexus standards, applying the Wayfair or multistate standards.  Students can use Robotics Process Automation to evaluate whether the company established nexus in a particular state. Instructors can include no tax research or select from several pertinent tax research questions. This case can be used in undergraduate or graduate tax, audit, or AIS courses, from compliance or tax risk perspectives. The learning objectives are to develop students’: (1) knowledge of data analytics; (2) knowledge of economic nexus and assess the tax law changes impact on business decisions; (3) research skills; (4) skills specific to data analytics and data visualization in accounting; and (5) effective oral and written communication skills.
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来源期刊
CiteScore
4.30
自引率
27.80%
发文量
14
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