M
Mario Boßlau
Researcher at Ruhr University Bochum
Publications - 13
Citations - 139
Mario Boßlau is an academic researcher from Ruhr University Bochum. The author has contributed to research in topics: Business model & Artifact-centric business process model. The author has an hindex of 6, co-authored 12 publications receiving 132 citations.
Papers
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Book ChapterDOI
An Ontology of Business Models for Industrial Product-Service Systems
TL;DR: This study aims at delivering an IPS2-specific business model ontology, and a case study of a solution provider is conducted.
Book ChapterDOI
Design and Engineering of Dynamic Business Models for Industrial Product-Service Systems
Horst Meier,Mario Boßlau +1 more
TL;DR: In this paper, an integrated business model design and engineering approach with System Dynamics is proposed for industrial product-service systems (IPS2) to characterize the long-term customer relationship.
Book ChapterDOI
Flexible Resource Planning in the Context of Dynamic IPS 2 Business Models
TL;DR: In this article, the authors present a scheduling approach for industrial product-service systems (IPS2) which considers the IPS2 potentials for optimization, and the correlation between the individual specifications of the business model features and the planning procedure is described in detail.
Book ChapterDOI
Dynamic Influences on Workforce Capacity Planning for IPS² Delivery
TL;DR: In this paper, the authors systematically examined the dynamic influences on capacity requirements of service technician workforce for industrial product-service system (IPS) delivery by means of the System Dynamics (SD) approach as a foundation for further research.
Journal ArticleDOI
The Influence of Dynamic Business Models on IPS2 Network Planning – An Agent-Based Simulation Approach
TL;DR: An agent-based simulation approach for strategic IPS 2 network planning is presented, which is able to cover and represent various business model-specific objectives, constraints and parameters and can be applied as a decision-support system in the design and restructuring of IPS 2 networks and for strategic capacity planning decisions.