S. Hawkins, Jeffrey S. Pickerd, S. Summers, David A. Wood
{"title":"The Development of the Process Mining Event Log Generator (PMELG) Tool","authors":"S. Hawkins, Jeffrey S. Pickerd, S. Summers, David A. Wood","doi":"10.2308/horizons-2022-153","DOIUrl":null,"url":null,"abstract":"\n Process mining is an emerging technology that allows users to visualize all potential variations of business processes within an organization. It holds significant potential for impacting the field of accounting. However, training professionals and students in its use is challenging due to a lack of event data applicable to accounting and auditing scenarios. To address this issue, we developed an easy-to-use tool called the Process Mining Event Log Generator (PMELG) for generating process mining data files for the order-to-cash process. With the PMELG tool, users can create realistic datasets that incorporate key accounting and auditing concepts, such as segregation of duties issues, internal control violations, operational inefficiencies, and fraudulent behavior. We validate this tool with professionals and academics. Both groups believe the tool will be beneficial for both practitioners and academic audiences.","PeriodicalId":51419,"journal":{"name":"Accounting Horizons","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounting Horizons","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.2308/horizons-2022-153","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
Process mining is an emerging technology that allows users to visualize all potential variations of business processes within an organization. It holds significant potential for impacting the field of accounting. However, training professionals and students in its use is challenging due to a lack of event data applicable to accounting and auditing scenarios. To address this issue, we developed an easy-to-use tool called the Process Mining Event Log Generator (PMELG) for generating process mining data files for the order-to-cash process. With the PMELG tool, users can create realistic datasets that incorporate key accounting and auditing concepts, such as segregation of duties issues, internal control violations, operational inefficiencies, and fraudulent behavior. We validate this tool with professionals and academics. Both groups believe the tool will be beneficial for both practitioners and academic audiences.
期刊介绍:
Accounting Horizons is one of three association-wide journals published by the American Accounting Association AAA. This journal seeks to bridge academic and professional audiences with articles that focus on accounting, broadly defined, and that provide insights pertinent to the accounting profession. The contents of Accounting Horizons, therefore, should interest researchers, educators, practitioners, regulators, and students of accounting.