Amadou Sienou

Conceptual model of risk: towards a risk modeling language

Nowadays organisations are subjects to frequent changes requiring continuous strategic alignment of business processes subject to increasing compliance requirements. We suggest a holistic integration of process management and risk management supporting a robust management of business processes while improving organisations resilience. The integration is based on a conceptual integration of risks and processes through meta-models. This paper is about a unified conceptual model of risk, which is a foundation for defining a semi-formal risk modelling language.

TOWARDS A FRAMEWORK FOR INTEGRATING RISK AND BUSINESS PROCESS MANAGEMENT

Abstract The increasing competition, the changing stakeholders’ expectations and technological innovations challenge enterprises to aim for business agility through process focused thinking. The global performance of business processes is however constrained by unpredicted events, which cause deviations from the expected purpose. By anticipating these probable events, the process management team shall balance cost, risk and performance. This paper is about the possibility to unify risk management and process management in order to provide methods for risk considerations in process management.

Collaborative Process Driven Risk Management for Enterprise Agility

Small-medium enterprises (SMEs) gain their strengths from flexible market orientation, agile value chains and cluster-based innovation capacity. The changing global business environment challenges organizations to aim for agility and performance driven management through process focused thinking. For the future collaboration of SMEs with their partners, the agility aim of the Digital Ecosystem paradigm demands for an explicit risk management and collaboration support. This involves an explicit management of the business process by combining continuous process improvement and process reengineering. However, the outcome of process management effort is risky because of the lack of operational information about the future process. The paper analyzes the possible contribution of risk management to support the management of business processes in order to increase the maturity of organizations. The concept is applied in a process simulation example for furniture production. Collaboration support is provided to allow the real-time sharing and interaction of the parties involved, e.g. in case of deviations from the agreed upon target process.

Risk driven process engineering in digital ecosystems: Modelling risk

Organizations are looking for enhanced agility, which is promoted by enterprise engineering approaches. Since the business environment is becoming more and more unpredictable, business process management as part of enterprise engineering is supposed to tackle value creation challenges but also the ones related to value preservation. The aim for agility and required approaches are an essential requirement for many Digital Ecosystem Domains, such as in The Future of Energy. Here, procurers of energy have to be orchestrated in the Energy Market. Our research emphasizes risk driven business process design. A graphical modelling language for risk driven business process engineering was introduced in former papers. This paper extends the language and handles questions related to modelling risk in an organizational context.

Aspects of the BPRIM Language for Risk Driven Process Engineering

Nowadays organizations are exposed to frequent changes in business environment requiring continuous alignment of business processes on business strategies. This agility requires methods promoted in enterprise engineering approaches. Risk consideration in enterprise engineering is getting important since the business environment is becoming more and more competitive and unpredictable. Business processes are subject to the same quality requirements as material and human resources. Thus, process management is supposed to tackle value creation challenges but also the ones related to value preservation. Our research considers risk driven business process design as an integral part of enterprise engineering. A graphical modelling language for risk driven business process engineering was introduced in former research. This paper extends the language and handles questions related to modelling risk in organisational context.

Business Process and Risk Models Enrichment: Considerations for Business Intelligence

Business intelligence (BI) as a paradigm with methods and tools substantially improves decisions with regard to business evolutions. Through the emerging business process management approaches, it becomes possible to link BI-tools with the underlying process models. This paper explains how process models can be enriched with risk models in the context of business intelligence.

Towards a semi-formal modeling language supporting collaboration between risk and process manager

Nowadays organisations are subjects to frequent changes requiring continuous alignment of business processes. In the adaptive digital business ecosystems (DBEs), agile value chains and the cluster-based bundling of business partners are an essential characteristic. While the resulting flexibility holds opportunities, it increases initially uncertainty. In order to support such organisations to increase their maturity, we suggest a synchronisation of the lifecycles of process management and risk management by integrating both processes. This integration is based on a common modelling language. From the process management perspective, there are number of semi-formal modelling languages while these are missing for risk management. This paper is about a semi-formal modelling language supporting collaboration between the risk management team and the process management one. The synchronised lifecycle appears therefore as the collaboration mechanism coordinating the activities of the heterogeneous team.

Forming the Optimal Team of Experts for Collaborative Work

The “networked economy” challenges organizations to reconsider their business models. The aim of our work is to assist organizations dealing with challenges concerning team building. In order the deal with questions related to the formation of the best team, we have defined team formation as the process of allocating the set of experts that best fulfils team requirements.

Track D: Healthcare and sustainable living

eHealth, Telemedicine, and Bio-System Research Systems all describe approaches to improving the capacity of healthcare systems through fundamental and applied research, technology, and services. Researchers and companies are, for example, exploring the use of sensor devices, human-system interfaces, and medical record systems in order to provide radically new solutions for helping patients.

Logistics challenges in developing countries: An analyis of Burkina Faso's national plan for disaster prevention and response

Developing countries regularly face disasters such as aridity, epidemic, deluge, and mass migration. Some of these countries developed national program for disaster prevention and response. However, observations show deployment and implementation lacks in many national programs. A study of the special case of Burkina Faso provided useful information to humanitarian logistics challenges that could be addressed with suitable digital ecosystems. This contribution is a position paper addressing this issue.