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Since the 2008 financial crisis, the financial industry is in need of innovation to increase stability and improve quality of services. The purpose of this paper is to explore internal barriers that influence the effectiveness of projects within large financial services firms focussing on potentially disruptive and radical innovations. While literature has generally focused on barriers within traditional technology and manufacturing firms, few researchers have identified barriers for these type of firms.

A framework of internal barriers was developed and validated by means of an explorative case study. Data were collected at a European bank by exploring how innovation is organized and what barriers influence effectiveness of eight innovation projects.

Six items were identified as key barrier for potentially disruptive and radical innovations (e.g. traditional risk-avoidance focus, and inertia caused by systems architecture). As such, in the sample these were more important than traditionally defined barriers such as sources of finance, and lacking exploration competences.

Based on a small number of projects within one firm, the results highlight the need for more in-depth research on the effects of barriers and how barriers can be overcome within this industry.

The results show that there is a discrepancy between the societal demand for radical change within the financial industry and the ability of large financial services firms to innovate. The study identifies which unique internal barriers hamper potentially disruptive and radical innovation in large financial services firms.

This paper investigates the potential of dynamic process modelling as an approach for addressing the problem of information systems (ISs) evaluation in the context of organisational change.

A real‐life case study is discussed, showing how dynamic simulation models that incorporate the effects of a proposed IS on existing business processes can help analysts and decision makers arrive at more informed choices for system design and evaluation.

Based on the case findings, we postulate that the design and implementation of organisational systems could be augmented by the development of dynamic process models depicting business operations before and after the introduction of an IS, and the subsequent experimentation with such models to achieve maximum fit between organisational needs and system capabilities.

The study findings imply that dynamic process modelling may be of help in the endeavour of developing ISs that are aligned with the overall business strategy and objectives.

Shows how dynamic simulation models that incorporate the effects of a proposed IS on existing business processes can help analysts and decision makers arrive at more informed choices for system design and evaluation.

Using computer simulation, this paper seeks to model the emergency care process in a hospital and evaluate the effects of some proposed changes to improve patient wait times in the process.

The paper is based upon a case study conducted at the hospital and uses historical data provided by the hospital to simulate the emergency care process.

The simulation results demonstrate that the changes proposed can shorten patient wait times in the emergency care process. The proposed changes involve adding another payment station and a new short‐stay ward in the process. Based upon the results, the paper supports the implementation of the changes proposed.

A couple of limitations are recognized in this paper. First, the simulation does not consider varying the capacity of resources and locations involved in the emergency care process. Second, the simulation does not consider patients by clinical disciplines in which they are treated.

The simulation results show that computer simulation can be an effective decision support tool in modelling the emergency care process and evaluating the effects of changes in the process. The results would be helpful to those who are considering reengineering and improving emergency care or other similar processes in hospitals.

Based upon a case study using real‐world data, this paper extends the line of studies on computer simulation in healthcare by considering not only patient wait times in the emergency care process but also some ways to improve patient wait times and their effects on the process.

The purpose of this paper is to understand the relationship between information systems (IS) integration and business performance in the context of the ad traffic system of a media company.

A system dynamics (SD) model that shows ad traffic system structure was developed and simulation scenarios were examined.

Simulation scenarios identify the dysfunctional effects of the lack of IS integration. The model shows how IS integration problems increase the dynamic complexity of business processes, resulting in poor business performance. It also shows how and why IS integration improvements can lead to superior performance.

Researchers of business process management will benefit from a wider adoption of simulation and SD modeling approaches. The modeling process and model validation are discussed.

SD modeling can help organizations analyze and streamline their business processes through IT, significantly and sustainably improving their business performance.

Modeling the relationship between IS integration and business performance through time.

The paper seeks to propose the concept of sustainable enterprise simulation models. The social, environmental and economic models are developed and simulated using iThink in the context of a warehousing and distribution company.

The paper has leveraged the systems dynamic paradigm to conduct sustainable enterprise modelling and iThink™ system to implement the models. It uses the design science research methodology for the proof of concept of the models and modelling processes. The models have been developed for a logistics management company and tested in the business settings. These models were finalised through a number of revisions and iterations of the design, develop, simulate and test and evaluate.

The paper addresses the interconnectivity between disparate sustainability dimensions for developing the models. The validity and usefulness of the sustainability models for the day‐to‐day decision making has been authenticated by the management of the warehousing organisation.

The paper implements system dynamics concepts of sustainability modelling and produces models of various sustainability dimensions which are original in nature and evolution. While the domain in which sustainable enterprise modelling was carried out was warehousing, the concepts and principles that were explored, developed and validated is applicable across most enterprises.

The purpose of this paper is to present a new heuristic approach for finding errors and possible improvements in business process models.

First, the paper translates the information that is included in a model into a set of Prolog facts. It then searches for patterns which are related to a violation of the soundness property or bad modeling style or otherwise gives rise to the assumption that the model should be improved. To validate this approach, the paper analyzes a repository of almost 1,000 business process models. For this purpose, three different model‐checkers that explore the state space of all possible executions of a model are used. The result of these tools are compared with the results given by this heuristic approach.

The paper finds that the heuristic approach identifies violations of the soundness property almost as accurate as model‐checkers. However, other than these tools, the approach never ran into state space explosion problems. Furthermore, this heuristic approach can also detect patterns for bad modeling style which can help to improve the quality of models.

Heuristic checks can run in the background while the modeler works on the model. In this way, feedback about possible modeling errors can be provided instantly. This feedback can be used to correct possible problems immediately.

Current Prolog‐based validation tools check mainly for syntactical correctness and consistency requirements. This approach adds one more perspective by also detecting control‐flow errors (like deadlocks) and even pragmatic issues.

The purpose of this paper is to present the development of a multi‐agent system (MAS) used to simulate a crisis response organization.

Following an agent‐based approach, the model is developed using the GAIA methodology and implemented in the Java Agent Development framework.

The GAIA methodology can be combined with an additional GAIA2JADE process to bridge the gap between design and implementation. Keeping the MAS organization separate from the crisis scenario model enables testing different configurations of the crisis response organization in different scenarios.

The simulation model is provided as proof of concept along with preliminary experiments. Additional detailed experiments and validation are ongoing.

The model can be configured differently to deal with an emergency scenario developed separately, providing a test bed for simulating coordination in crisis response. Such simulation forms the basis for exploring different coordination mechanisms and can also be adapted and extended for training and decision support.

The characteristics of the response organization and the study of structured vs emergent coordination fit with the capabilities and nature of a MAS. The structure and process are useful for modelling similar ad hoc, multidisciplinary organizations.

Information-sharing and flexibility are considered to be major tools for risk mitigation and supply chain resiliency. However, less light has been shed on the role of information-sharing as an enabler to utilize flexibility capabilities before and after supply chain disruptions. The aim of this paper is to provide indications on how digitalized information-sharing (DIS) enhances flexibility capability utilization.

The methodology follows a qualitative approach, including 31 transcribed semi-structured interviews with supply chain experts in Germany and Japan.

The findings indicate that DIS supports flexibility capability utilization in pre- and post-disruptive supply chain management. First, the enhancement of estimated transport time accuracy supports rapid supplier and transport mode adjustment. Second, while the effects of DIS in manufacturing are limited without pre-existing flexibility capabilities, steady internal and external DIS utilizes exciting manufacturing flexibility to cope with disruptions beyond production. Third, track and trace technologies enhance the value of shared data and allow flexibility in the form of demand-oriented distribution, but companies unable to adopt technologies can still enhance flexibility capabilities with DIS using the existing infrastructure.

This paper highlights the essential role of digital information-sharing for flexibility utilization in supply chain risk management. While existing studies engaged with flexibility and information-sharing in supply chain risk management, this study contributes by emphasizing digital information-sharing as a key triggering enabler for flexibility in pre- and post-disruptive phases.

Project complexity has been comprehensively investigated over the last two decades, resulting in many descriptive frameworks and models. The common layout is a multidimensional construct. While the perception of the complexity of projects is essential for a managerial approach, only scant research has been conducted into how practitioners perceive project complexity. The purpose of the paper is to fill this gap.

This paper is a quantitative study based on a large survey among managers of projects with more than 1,000 participants. The questionnaire is designed based on a review of research literature on project complexity.

The findings indicate that practitioners' mental models are concentrated on only a few dimensions of the many found in descriptive models. Further, the findings indicate that the mental models are much influenced by the project role of the perceiver and less so by the type of project and sector.

This paper discusses the differentiation of concepts of perceived project complexity and provides a framework for a survey of the topic. The contribution of the paper is an increased understanding of practitioners' perceptions of project complexity as a concept very different from the descriptive frameworks that have been the focal point for research in project complexity thus far. The project complexity might be in the eye of the beholder; however, the findings indicate that the eyes are very much influenced by the project role of the beholder.