2 research outputs found
A theoretical framework for IT-enabled and IT-enforced corporate governance compliance utilizing BPMSs
Corporate governance has been severely condemned, as a result of company failures around the world. Regulatory and legislative measure have been introduced in response to these failures. However, arguments by sceptics advocate that it is time consuming and costly to comply these legislative measures that cause overregulation. These measures further do not always add value to business initiatives and adherence to these measures cannot be enforced or guaranteed. This paper argues for the use of business process management systems (BPMSs) to improve corporate governance. The “dynamics capabilities theory model of IT-enabled organisational performance” is applied in this study as theoretical underpinning. A theoretical framework is proposed for IT-enabled and IT-enforced corporate governance compliance using a BPMS, after collecting data from seven BPMS user companies and a BPMS vendor company in South Africa.http://link.springer.combookseries/558hj2021Informatic
Descriptive business process models at run-time
Today's competitive markets require organisations to react proactively to changes in their environment if financial and legal consequences are to be avoided. Since business processes are elementary parts of modern organisations they are also required to efficiently adapt to these changes in quick and flexible ways. This requirement demands a more dynamic handling of business processes, i.e. treating business processes as run-time artefacts rather than design-time artefacts. One general approach to address this problem is provided by the community of [email protected], which promotes methodologies concerned with self-adaptive systems where models reflect the system's current state at any point in time and allow immediate reasoning and adaptation mechanisms. However, in contrast to common self-adaptive systems the domain of business processes features two additional challenges: (i) a bigger than usual abstraction gap between the business process models and the actual run-time information of the enterprise system and (ii) the possibility of run-time deviations from the planned models. Developing an understanding of such processes is a crucial necessity in order to optimise business processes and dynamically adapt to changing demands. This thesis explores the potential of adopting and enhancing principles and mechanisms from the [email protected] domain to the business process domain for the purpose of run-time reasoning, i.e. investigating the potential role of Descriptive Business Process Models at Run-time (DBPMRTs) in the business process management domain. The DBPMRT is a model describing the enterprise system at run-time and thus enabling higher-level reasoning on the as-is state. Along with the specification of the DBPMRT, algorithms and an overall framework are proposed to establish and maintain a causal link from the enterprise system to the DBPMRT at run-time. Furthermore, it is shown that proactive higher-level reasoning on a DBPMRT in the form of performance prediction allows for more accurate results. By taking these steps the thesis addresses general challenges of business process management, e.g. dealing with frequently changing processes and shortening the business process life cycle. At the same time this thesis contributes to research in [email protected] by providing a complex real-world use case as well as a reference approach for dealing with volatile [email protected] of a higher abstraction level