TY - GEN
T1 - Towards a Formal Framework for Partial Compliance of Business Processes
AU - Lam, Ho Pun
AU - Hashmi, Mustafa
AU - Kumar, Akhil
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Binary “YES-NO” notions of process compliance are not very helpful to managers for assessing the operational performance of their company because a large number of cases fall in the grey area of partial compliance. Hence, it is necessary to have ways to quantify partial compliance in terms of metrics and be able to classify actual cases by assigning a numeric value of compliance to them. In this paper, we formulate an evaluation framework to quantify the level of compliance of business processes across different levels of abstraction (such as task, trace and process level) and across multiple dimensions of each task (such as temporal, monetary, role-, data-, and quality-related) to provide managers more useful information about their operations and to help them improve their decision making processes. Our approach can also add social value by making social services provided by local, state and federal governments more flexible and improving the lives of citizens.
AB - Binary “YES-NO” notions of process compliance are not very helpful to managers for assessing the operational performance of their company because a large number of cases fall in the grey area of partial compliance. Hence, it is necessary to have ways to quantify partial compliance in terms of metrics and be able to classify actual cases by assigning a numeric value of compliance to them. In this paper, we formulate an evaluation framework to quantify the level of compliance of business processes across different levels of abstraction (such as task, trace and process level) and across multiple dimensions of each task (such as temporal, monetary, role-, data-, and quality-related) to provide managers more useful information about their operations and to help them improve their decision making processes. Our approach can also add social value by making social services provided by local, state and federal governments more flexible and improving the lives of citizens.
KW - Business process modelling
KW - Compliance measures
KW - Partial compliance
KW - Process compliance
UR - http://www.scopus.com/inward/record.url?scp=85121928590&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-89811-3_7
DO - 10.1007/978-3-030-89811-3_7
M3 - Conference Proceeding
AN - SCOPUS:85121928590
SN - 9783030898106
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 90
EP - 105
BT - AI Approaches to the Complexity of Legal Systems 11-12 - AICOL International Workshops 2018 and 2020
A2 - Rodríguez-Doncel, Víctor
A2 - Palmirani, Monica
A2 - Araszkiewicz, Michal
A2 - Casanovas, Pompeu
A2 - Casanovas, Pompeu
A2 - Pagallo, Ugo
A2 - Sartor, Giovanni
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Workshops on AI Approaches to the Complexity of Legal Systems, AICOL 2018 and AICOL 2020, held jointly with the International Workshop on Explainable and Responsible AI and Law, XAILA 2020
Y2 - 9 December 2020 through 9 December 2020
ER -