Visual Modeling of Business Process Compliance Rules with the Support of Multiple Perspectives (Extended Abstract)

EMISA FORUM ◽  
2014 ◽  
Vol 34 (1) ◽  
pp. 35-35
Author(s):  
David Knuplesch ◽  
Manfred Reichert ◽  
Linh Thao Ly ◽  
Akhil Kumar ◽  
Stefanie Rinderle-Ma
Keyword(s):  
Business Process ◽  
Multiple Perspectives ◽  
Visual Modeling ◽  
Business Process Compliance ◽  
Process Compliance

scholarly journals Multi-party business process compliance monitoring through IoT-enabled artifacts

2018 ◽  
Vol 73 ◽  
pp. 61-78 ◽  
Author(s):  
Giovanni Meroni ◽  
Luciano Baresi ◽  
Marco Montali ◽  
Pierluigi Plebani
Keyword(s):  
Business Process ◽  
Compliance Monitoring ◽  
Business Process Compliance ◽  
Process Compliance

The influence of directive explanations on users’ business process compliance performance

2016 ◽  
Vol 22 (3) ◽  
pp. 458-483
Author(s):  
Frank Hadasch ◽  
Alexander Maedche ◽  
Shirley Gregor
Keyword(s):  
Business Process ◽  
Business Processes ◽  
Design Guidelines ◽  
Knowledge Based Systems ◽  
Work Activity ◽  
Student Sample ◽  
Content Type ◽  
Knowledge Based ◽  
Business Process Compliance ◽  
Process Compliance

Purpose – In organizations, individual user’s compliance with business processes is important from a regulatory and efficiency point of view. The restriction of users’ choices by implementing a restrictive information system is a typical approach in many organizations. However, restrictions and mandated compliance may affect employees’ performance negatively. Especially when users need a certain degree of flexibility in completing their work activity. The purpose of this paper is to introduce the concept of directive explanations (DEs). DEs provide context-dependent feedback to users, but do not force users to comply. Design/methodology/approach – The experimental study used in this paper aims at investigating how DEs influence users’ process compliance. The authors used a laboratory experiment to test the proposed hypotheses. Every participant underwent four trials for which business process compliance was measured. Two trial blocks were used to cluster the four trials. Diagrammatic DEs were provided in one of the trial blocks, while textual DEs were provided in the other. Trial blocks were counterbalanced. Findings – The results of the experiment show that DEs influence a user’s compliance, but the effect varies for different types of DEs. The authors believe this study is significant as it empirically examines design characteristics of explanations from knowledge-based systems in the context of business processes. Research limitations/implications – This study is certainly not without limitations. The sample used for this study was drawn from undergraduate information systems management students. The sample is thus not representative of the general population of organizations’ IT users. However, a student sample adequately represents novice IT users, who are not very familiar with a business process. They are particularly suitable to study how users react to first-time contact with a DE. Practical implications – The findings of this study are important to designers and implementers of systems that guide users to follow business processes. As the authors have illustrated with a real-world scenario, an ERP system’s explanation can lack details on how a user can resolve a blocked activity. In situations in which users bypass restricted systems, DEs can guide them to comply with a business process. Particularly diagrammatic explanations, which depict actors, activities, and constraints for a business process, have been found to increase the probability that users’ behavior is business process compliant. Less time may be needed to resolve a situation, which can result in very efficient user-system cooperation. Originality/value – This study makes several important contributions to research on explanations, which are provided by knowledge-based systems. First, the authors conceptualized, designed, and investigated a novel type of explanations, namely, DEs. The results of this study show how dramatic the difference in process compliance performance is when exposed to certain types of DEs (in one group from 57 percent on the initial trial to 82 percent on the fourth trial). This insight is important to derive design guidelines for DE, particularly when multimedia material is used.

scholarly journals Are we done with business process compliance: state of the art and challenges ahead

2018 ◽  
Vol 57 (1) ◽  
pp. 79-133 ◽  
Author(s):  
Mustafa Hashmi ◽  
Guido Governatori ◽  
Ho-Pun Lam ◽  
Moe Thandar Wynn
Keyword(s):  
Business Process ◽  
State Of The Art ◽  
Business Process Compliance ◽  
Process Compliance

bpCMon

2017 ◽  
Vol 14 (2) ◽  
pp. 81-103 ◽  
Author(s):  
Ping Gong ◽  
David Knuplesch ◽  
Zaiwen Feng ◽  
Jianmin Jiang
Keyword(s):  
Business Process ◽  
Real World ◽  
Business Processes ◽  
Compliance Monitoring ◽  
Event Correlation ◽  
Real World Data ◽  
Business Process Compliance ◽  
Workflow System ◽  
Indexing Structure ◽  
Process Compliance

Business processes compliance monitoring checks whether running business processes comply with involved compliance rules. Business processes in modern enterprise are rarely supported by a single and centralized workflow system, but instead implemented over different applications (e.g., CRM, ERP, WfMS, and legacy systems). The running data (i.e., event) about process executions are scattered across these applications. Under such circumstance, understanding the compliance of running processes entails the compliance monitoring enabling to correlate events from different applications and even different process instances. This paper introduces a framework named as bpCMon for business process compliance monitoring. bpCMon consists of an expressive compliance rule language ECL and a rule system ERS. ECL is a pattern-based formal language for specifying compliance rules of multiple process perspectives, and also allows for describing event-correlation conditions. ERS, generated from compliance rules in ECL, in turn plays as a compliance monitor enabling to correlate events efficiently by means of an indexing structure created from event-correlation conditions. The applicability of bpCMon is demonstrated by experiments on real-world data sets, and the efficiency of bpCMon is illustrated by comparing with related approaches. Overall, bpCMon enables business process compliance monitoring to meet real-world requirements.

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