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The purpose of this paper is to specify the decomposition conditions of Wand and Weber for the Business Process Model and Notation (BPMN). Therefore, an interpretation of the conditions for BPMN is derived and compared to a specification of the conditions for enhanced Event-Driven Process Chains (eEPCs). Based on these results, guidelines for a conformance check of BPMN and eEPC models with the decomposition conditions are shown. Further, guidelines for decomposition are formulated for BPMN models. The usability of the decomposition guidelines is tested with modelling experts.

An approach building on a representational mapping is used for specifying the decomposition conditions. Therefore, ontological constructs of the Bunge-Wand-Weber ontology are mapped to corresponding modelling constructs and an interpretation of the decomposition conditions for BPMN is derived. Guidelines for a conformance check are then defined. Based on these results, decomposition guidelines are formulated. Their usability is tested in interviews.

The research shows that the decomposition conditions stemming from the information systems discipline can be transferred to business process modelling. However, the interpretation of the decomposition conditions depends on specific characteristics of a modelling language. Based on a thorough specification of the conditions, it is possible to derive guidelines for a conformance check of process models with the conditions. In addition, guidelines for decomposition are developed and tested. In the study, these are perceived as understandable and helpful by experts.

Research approaches based on representational mappings are subjected to subjectivity. However, by having three researchers performing the approach independently, subjectivity can be mitigated. Further, only ten experts participated in the usability test, which is therefore to be considered as a first step in a more comprising evaluation.

This paper provides the process modeller with guidelines enabling a conformance check of BPMN and eEPC process models with the decomposition conditions. Further, guidelines for decomposing BPMN models are introduced.

This paper is the first to specify Wand and Weber's decomposition conditions for process modelling with BPMN. A comparison to eEPCs shows, that the ontological expressiveness influences the interpretation of the conditions. Further, guidelines for decomposing BPMN models as well as for checking their adherence to the decomposition conditions are presented.

This paper aims to present how iterative round‐trip modelling between two different business process modelling tools can be enabled on a conceptual level. Iterative round‐trip modelling addresses model transformations between high‐level business and executable process models, and how to maintain these transformations in change time. Currently, the development of these process models is supported by different tools. To the authors' best knowledge, no coherent collaborative tool environment exists that supports iterative round‐trip modelling.

This paper is primarily based on a literature review of state‐of‐the‐art business to IT transformations regarding business process modelling. The architecture of integrated information systems (ARIS) and Cordys tools are used as an example case in this research. ARIS is a business process analysis (BPA) tool suited for analyzing and designing business processes, while the execution and monitoring of these processes is allowed by Cordys, a business process management suite (BPMS). The theory is used for transforming between ARIS event‐driven process chains from the business perspective and business process modelling notation in Cordys from the IT perspective.

A conceptual framework is proposed to couple a BPA and BPMS tool for round‐trip business process modelling. The framework utilizes concepts from the model‐driven architecture for structurally addressing interoperability and model transformations. Ensuring iterative development with two tools requires traceability of model transformations.

In many organizations, BPA and BPMS tools are used for business process modelling. These are in practice often two different worlds, while they concern around the same business processes. Maintaining multiple versions of the same process models across two tools is a considerable task, as they often are subject to design changes. Interoperability between a BPA and BPMS tool will minimize redundant activities, and reduce business to IT deployment time.

This research provides a theoretical base for coupling a BPA and BPMS tool regarding iterative round‐trip modelling. It provides an overview of the current state‐of‐the‐art literature of business process modelling transformations, and what is necessary for maintaining interoperability between tools. The findings indicate what is expected in tool support for iterative development in business process modelling from analysis and design to execution.

Given that few studies examine how disruptive events affect customer relationships during and after the event, this study examines the resilience of companies in Puerto Rico, their underlying vulnerabilities, and how they deployed customer relationship management (CRM) resilience strategies during and after Hurricane Maria.

The study analyzed data gathered from qualitative focus groups composed of 41 firms via an exploratory approach. Participants were business owners and managers of enterprises in Puerto Rico.

All companies faced critical government infrastructure failures that affected their CRM activities. Firms implemented one or more CRM resilience strategies in response to the natural disaster. Accordingly, a comprehensive, adaptive CRM contingency model was postulated using marketing crisis management strategies discussed in the literature, existing resilience models and research studies in marketing resilience. The adaptive CRM contingency model operationalizes all processes at the business-logic level via the event-driven process chain (EPC) language, thus making it easier to understand and employ.

This study presents a unique model that shows the value of CRM and its capacity to evolve under disruptive environments that affect company–customer relationships. The operationalization of the model allows practitioners, policymakers and academic researchers to better understand how CRM is not only a suitable tool for managing business continuity after a natural disaster but also a mitigating technique for responding to new customer needs and expectations.

Business process management has received much attention in the industrial engineering and management literature, and its benefits are well known. Much less has been written in the public sector management literature, and what has been written has been very general. Hence, there is confusion among public managers about how business process management concepts should be implemented. How should public organizations reorganize to accommodate business process management? How are existing or new enterprise systems aligned with business process management methodologies? This paper addresses these issues, and concludes that public organizations will have to change their organizational structures radically as well as their enterprise systems in order to implement business process management concepts successfully. The paper also discusses the benefits of public sector process management, and focuses in some detail on two of the reasons that public organizations have incentive to implement business process management methodologies.

The purpose of this paper is to carry out the business process re‐engineering (BPR) of a surgical ward in a hospital in order to improve the efficiency of the ward.

This work was developed using a case study on a surgical ward. In this type of ward, in which scheduled and unscheduled operations often have to coexist and be managed, ways to minimise patient inconvenience need to be studied. A framework based on event‐driven process chains (EPCs) methodology, the entity‐relationship model and discrete event simulation is presented to define and analyse the current state of a surgical ward and design a future system. The modelling of the processes, activities and sub‐activities, which took up a great amount of ward resources, allowed a what‐if analysis to be developed which simulates various scenarios and assesses their performance.

Using Delphi methodology, it was possible to identify a number of areas for improvement: number of operating sessions, preparation of the operating rooms for each operation, availability of specific surgical instruments. Moreover, the discrete event simulation approach led to an understanding of the most efficient management choices.

The decision to use Delphi methodology for the information collection stage before starting the BPR process is not found in other studies in the literature. Moreover, the use of models based on EPCs methodology allowed the panel of experts to develop models to examine and understand the resource requirements of medical assessment units and to provide a framework or develop standards that hospital developers and clinical managers can consult.

The integration of business processes across multiple companies can provide economic benefits, thus ensuring the sustainability of the involved companies. However these advantages are accompanied by many potential risks. For instance, emerging disruptions within a supply chain can spread over several partners resulting in economic losses. The purpose of this paper is to focus on the development of a collaborative cross-supply chain framework that reduces the extent of loss after the occurrence of unforeseen damaging events in sensitive logistics nodes.

To handle the impacts of unforeseen damaging events in sensitive logistics nodes, the focus of our approach lies on the implementation of a collaboratively applicable concept for sensitive logistics nodes that supports a rapid collaborative decision-making among the partners. Therefore, different damaging events as well as the logistics and transport processes in freight villages are determined and implemented in an agent-based simulation model.

Multi-agent simulation can be used for a scenario-based collaborative risk management in sensitive logistics nodes. By executing simulation experiments the impacts of selected damaging events can be analysed and used for the development of scenario specific strategies for the partners in sensitive logistics nodes with the objective to maintain the flow of goods after disturbances.

The paper proposes a multi-agent simulation, which can be used collaboratively in a cross-supply chain team to support decision-making processes in sensitive logistics nodes after a disruption has occurred. To get an effective and efficient tool, involved companies are included into the development and implementation processes.

The value of this paper lies in the approach of a multi-agent based simulation system that supports a collaborative risk management across different companies and different supply chains in sensitive logistics nodes.

The purpose of this paper is to evaluate and improve two popular business process modelling languages (BPMLs) the Integration definition for function modelling (IDEF0) and event‐driven process chain (eEPC).

The paper aims to select, compare and evaluate against a proposed criteria framework two popular BPMLs. In order to meet end‐user requirements, it suggests concrete improvements for either language. Evaluation findings and improvement attempts are documented over a case study within the context of a large European aerospace industry. The languages are applied through the use of appropriate software such as BPWin and Arena Simulation Software for IDEF0 and Architecture of Integrated Information Systems (ARIS) Toolset for eEPC.

Improved languages seem to overcome several deficiencies and increase their modelling performance. Improvements in IDEF0 include: classification of component information and insertion of logical operators. In this approach the language describes not only the information flow within the process, but also the time sequences via component discrimination. Improvements in eEPC include event chain diagram in ARIS house of business engineering methodology, which represents the interrelations between functions of different diagrams and the linkages among components and resources to include resources planning.

Results showed that language deficiencies were clarified. Thus, the improvements made, constitute better modelling performance and the development of more reliable models.

The paper outlines a systematic evaluation framework with concrete criteria. Furthermore, the improvements made, are a further step towards increased modelling performance, lean and comprehend diagrams.

This paper presents a reference model for the process of management of quality and improvement based on a conceptual framework for managing the process of systematically deriving improvement actions from customer expectations and strategic decisions through business processes, and prioritising actions that will most contribute to achievement strategic objectives. After some introductory theoretical background to discuss the need for systematically managing quality and improvement as well as the contribution of mapping business processes, the process reference model is described to a certain extent and detailed by means of activity tree and event‐driven process chain (EPC) diagrams. Finally, some considerations are made on the benefits of using such an approach.

This paper aims to automate the supply chain operations reference (SCOR) model as an enabler for process‐oriented supply chain business intelligence.

The hypothesis is the following: SCOR model automation is possible using data that is directly extracted from integrated enterprise systems. To test the hypothesis, an alignment product that allows the SCOR model to be automated with information that is directly extracted from the Oracle E‐Business Suite was developed.

In order to achieve the full benefits from the SCOR model, effective business process management and the SCOR key performance indicators (KPIs) must be implemented and used. Unless data collection to support KPI construction is automated, it is difficult to institutionalize the SCOR model as a measurement and benchmarking framework. We have demonstrated that automated support for KPIs is feasible and achievable.

The E‐Business Suite is a single enterprise solution, but we assert that the same procedures could be followed with other enterprise solutions or even applied in a legacy system environment.

The developed solution described in the paper can immediately be applied to the design, development, and deployment of corporate performance management systems.

The purpose of this paper is to present a business process reengineering (BPR) framework of process and data integration with patient journey as the basis for process evaluation and the improvement of patient-flow.

A BPR framework is developed using a mixed-method research design, which incorporated a case study to demonstrate a healthcare scenario with associated processes and data elements, using process models based on event-driven process chain methodology as well as patient and data models, based on unitary structuring technique. The framework includes key processes including patient booking and rebooking, and associated inputs, outputs, and control parameters. In this case, the framework is demonstrated through application to computed tomography (CT) services in a hospital to improve patient-flow, with numerical simulation of CT data collected over time.

The framework supports flexible patient scheduling and the associated planning of healthcare operations and logistics – this in turn helps to improve patient-flow. Furthermore, mathematical modelling and simulation precisely reveal the impact of booking and rebooking on the performance of the CT department.

This innovative framework has potential value for other services, within and beyond the hospital setting.

The proposed framework of process modelling, data, and patient journey addresses the lack of a holistic approach to monitoring and evaluating service performance in hospital settings. Patient journey modelling is an integral part of process and data models that can be implemented in an integrated system environment such as an enterprise resource planning system for real-time monitoring of patient-flow under dynamic conditions.