When organizations start to digitize, this often means that processes will be changed. The management paradigm that is centered on the continues review and improvement of organizational processes is Business Process Management (BPM). To digitize processes, an organization should have the right competences to deal with both technological and process changes. However, currently, it is not known which competences are needed by leaders to guide an organization with digital process transformation initiatives. Hence, this paper consists of an explorative study based on interviews with five experts to find out if and how the competences related to digital leadership can guide such initiatives. The experts are employees within five different organizations. The interviews showed some interesting results. First of all, several competences of digital leadership were mentioned by various experts. Many of these competences corresponded with each other. In the interviews, the following competences of digital leadership were mentioned most often: Collaboration, Self-direction, Lifelong learning, and Flexibility. Secondly, there are many approaches to gain insight into processes within organizations. The use of models is necessary to create added value, to help coordinate information provision between the processes and the people who work for the organization. One such approach is the use of Business Process Management Maturity models, which provide insight into the process maturity level of an organization. According to the respondents, there is a relationship between BPM maturity and digital leadership.
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From the article This paper describes a joint effort by two educational and scientific institutes, the HU University of Applied Sciences and Utrecht University, in designing a BPM course that not only transfers theoretical knowledge but lets students also experience real life BPM-systems and implementation issues. We also describe the implementation of the developed module with an indication of its success: it is now running for the fifth time, and although there continue to be points for improvement, over the years several scientific papers in the BPM domain resulted from the course, as well as a reasonable amount of students started their final thesis project in the BPM-domain.
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Abstract - This study investigates the Business Process Management (BPM) maturity and process performance of the Dutch Department of Defence (DDoD). Like any other organisation, defence departments use BPM to manage their daily business processes. Despite using BPM, the organisation has never undertaken the initiative to analyse its BPM Maturity level and process performance. This paper presents the first results of such a study and compares this to similar military organisations, non-profit organisations and other organisations in the private sector. The DDoD BPM Maturity index score of 2.66 is similar to that of peer organisations. The study provides some suggestions for research and practical implications for organisation.
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Cell-based production processes in bioreactors and fermenters need to be carefully monitored due to the complexity of the biological systems and the growth processes of the cells. Critical parameters are identified and monitored over time to guarantee product quality and consistency and to minimize over-processing and batch rejections. Sensors are already available for monitoring parameters such as temperature, glucose, pH, and CO2, but not yet for low-concentration substances like proteins and nucleic acids (DNA). An interesting critical parameter to monitor is host cell DNA (HCD), as it is considered an impurity in the final product (downstream process) and its concentration indicates the cell status (upstream process). The Molecular Biosensing group at the Eindhoven University of Technology and Helia Biomonitoring are developing a sensor for continuous biomarker monitoring, based on Biosensing by Particle Motion. With this consortium, we want to explore whether the sensor is suitable for the continuous measurement of HCD. Therefore, we need to set-up a joint laboratory infrastructure to develop HCD assays. Knowledge of how cells respond to environmental changes and how this is reflected in the DNA concentration profile in the cell medium needs to be explored. This KIEM study will enable us to set the first steps towards continuous HCD sensing from cell culture conditions controlling cell production processes. It eventually generates input for machine learning to be able to automate processes in bioreactors and fermenters e.g. for the production of biopharmaceuticals. The project entails collaboration with new partners and will set a strong basis for subsequent research projects leading to scientific and economic growth, and will also contribute to the human capital agenda.
