TY - JOUR
T1 - Redesigning business process to comply with the new revenue recognition standard using process mining
AU - Wang, Yunsen
AU - Chiu, Tiffany
AU - Chiu, Victoria
N1 - Publisher Copyright:
© 2020, American Accounting Association. All rights reserved.
PY - 2020
Y1 - 2020
N2 - This study proposes a framework and develops a prototype that redesigns revenue cycle business processes to comply with the new revenue recognition standard Revenue from Contracts with Customers (ASU No. 2014-09 FASB 2014). The new standard aims to report the nature, amount, timing, and uncertainty of revenue; however, the accounting literature and profession have raised concerns regarding companies’ compliance with the new standard, and urged companies to assess their practices and modify their accounting information systems accordingly. This study utilizes process mining to redesign a revenue cycle business process framework to consider single/multiple performance obligation(s), transaction price allocation, sales discounts granted/forfeited, and sales returns scenarios. In addition, a prototype is developed to detect non-standard sales transactions automatically and identify potential violations of the new standard. Findings in this study contribute to emerging technologies in accounting, internal auditing, and revenue recognition research, and are expected to be of interest to academics and practitioners.
AB - This study proposes a framework and develops a prototype that redesigns revenue cycle business processes to comply with the new revenue recognition standard Revenue from Contracts with Customers (ASU No. 2014-09 FASB 2014). The new standard aims to report the nature, amount, timing, and uncertainty of revenue; however, the accounting literature and profession have raised concerns regarding companies’ compliance with the new standard, and urged companies to assess their practices and modify their accounting information systems accordingly. This study utilizes process mining to redesign a revenue cycle business process framework to consider single/multiple performance obligation(s), transaction price allocation, sales discounts granted/forfeited, and sales returns scenarios. In addition, a prototype is developed to detect non-standard sales transactions automatically and identify potential violations of the new standard. Findings in this study contribute to emerging technologies in accounting, internal auditing, and revenue recognition research, and are expected to be of interest to academics and practitioners.
KW - Business process redesign
KW - New revenue recognition framework
KW - Process mining
KW - Prototype
UR - http://www.scopus.com/inward/record.url?scp=85088555087&partnerID=8YFLogxK
U2 - 10.2308/jeta-52663
DO - 10.2308/jeta-52663
M3 - Article
AN - SCOPUS:85088555087
SN - 1554-1908
VL - 17
SP - 149
EP - 163
JO - Journal of Emerging Technologies in Accounting
JF - Journal of Emerging Technologies in Accounting
IS - 1
ER -