Featured research (4)

To support decision-making during the business model innovation process, researchers have investigated approaches for evaluating business models. Key Performance Indicators (KPIs) related to business models can play an important role in evaluating the performance of business models, as they reflect the decisions and activities that drive the critical aspects of the organization. To date, there has been considerable research on business model KPIs. However, current research lacks an overall understanding of how business model KPIs are managed. Therefore, this paper aims to contribute with a classification of existing studies on business model KPIs in five categories relevant to KPI management, as well as future research avenues. In particular, we identify the development of methods and software tools to support selection, concretization, and reporting of business model KPIs, and the design of an integrated approach for business model KPI management as important areas for further research.
Conceptual models play a vital role in the engineering of information systems. A variety of stakeholders rely on their use, but they often find it challenging to make sense of such models. This is particularly known to be the case for process models, which capture complex temporal behavior. In practice, professionals often extend process models with textual descriptions to make them easier to understand, but it is not known whether this creates an even higher cogni-tive burden. In this study, we adopt the dual coding theory and the cognitive theory of multimedia learning, which suggest that people experience a better learning process when materials are presented via two different sensory channels (i.e., auditory and visual). We used this theory to set up and conduct an experiment with 42 participants that involve models of two real-life processes. We also implemented an online environment, which presents additional information on process model elements through the auditory channel in the form of narration. Our findings support that the use of narration may have a positive impact on process model comprehension, although it seems to depend on the kind of model elements that are explained. We discuss the implications of these findings and suggest further directions for research into process model comprehension .
Despite the rising importance of advanced data analytics, there is limited guidance on how organizations should leverage it. The benefits that an organization can gain through advanced data analytics depends on the organization's ability to gain and use relevant capabilities. This study introduces a capability maturity model (ADA-CMM) for advanced data analytics to help organizations assess their current state of capabilities for managing advanced data analytics. We used the Delphi method to develop the maturity model and performed a survey to evaluate its validity. The results confirm that the maturity level of the advanced data analytics capabilities of organizations is positively related to the business value that they can capture from their use, which in turn found positively related to organizational performance. ADA-CMM can be used by organizations as a self-assessment tool and to create a roadmap for improving their relevant capabilities.
Technological advances trigger a significant increase in the number of mobility solutions. Such solutions can address various mobility challenges that city authorities encounter, especially when planning their long-term strategic objectives. However, it is not always clear how city authorities can choose these solutions towards achieving their strategic goals collectively. Therefore, there is a need for a structured method that helps city authorities to establish their mobility agendas and plan their long-term objectives. We have developed a method that supports cities in creating pathways with strategic ambitions and visions regarding urban mobility that support the choice for current and future mobility solutions suitable for their implementation areas and aligned with their objectives. We did so by following the design science research methodology. We have designed our method by considering the information from existing mobility projects, evaluating and demonstrating it to relevant stakeholders with a paper prototype of the website to be delivered. Our study contributes with a structured stepwise approach that enables cities to create their pathways for urban mobility, starting with a strategy, all the way to solutions that help to reach the strategy.

Lab head

Oktay Turetken
  • Department of Industrial Engineering and Innovation Sciences
About Oktay Turetken
  • Dr. Oktay Turetken is an Associate Professor in the Information Systems Group of the School of Industrial Engineering, Eindhoven University of Technology. He has a PhD degree in Information Systems. His research focuses on service-dominant business engineering and process innovation, enterprise transformation/improvement through maturity models, and soft factors in business process management.

Members (4)

Banu Aysolmaz
  • Eindhoven University of Technology
Alexia Athanasopoulou
  • Eindhoven University of Technology
Montijn van de Ven
  • Eindhoven University of Technology
Ginger Korsten
  • Eindhoven University of Technology
Paola Lara Machado
Paola Lara Machado
  • Not confirmed yet