Google Glass may have a number of clinical applications and can quicken interventions where vital signs or other visual data need to be monitored by the operator.

Conceptual Modeling (CM) is a fundamental step in a simulation project. Nevertheless, it is only recently that structured approaches towards the definition and formulation of conceptual models have gained importance in the Discrete Event Simulation (DES) community. As a consequence, frameworks and guidelines for applying CM to DES have emerged and discussion of CM for DES is increasing. However, both the organization of model-components and the identification of behavior and system control from standard CM approaches have shortcomings that limit CM’s applicability to DES. Therefore, we discuss the different aspects of previous CM frameworks and identify their limitations. Further, we present the Hierarchical Control Conceptual Modeling framework that pays more attention to the identification of a models’ system behavior, control policies and dispatching routines and their structured representation within a conceptual model. The framework guides the user step-by-step through the modeling process and is illustrated by a worked example.

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Digital innovation is a key success factor for business enterprises and organizations concerned with public safety. Increasingly shorter technology cycles produce a stream of highly promising gadgets and smart devices and this innovative provision opens a gap between what is currently in use for the value-creation processes of an organization and what could potentially be used. The presented framework provides guidance on how to implement dynamic capabilities needed for business model and service innovation within a complex socio-technical system. A way to combine technology and use-case sensing with the ultimate aim of creating innovative artifacts for organizations is presented. While Business Model Innovation (BMI) literature mainly focuses on a strategic top-down process, we propose a bottom-up process-driven approach to complement business frameworks. Based on these insights, new service artifacts can be designed and analyzed in a systemic way. The applied research methodology is based on the design science research concept. A qualitative approach with focus groups was used to gather user requirements and facilitate participatory and user-centered design of information systems. In this paper, we provide a framework that supports business executives as well as IT experts on how to cope with and integrate new technologies into organizations, their processes, and their business models. In addition to a comprehensive theoretical overview of the proposed framework, we also provide practical results, since this framework was applied in the course of a service design and engineering research project. A use case of alpine rescue missions serves as an example to demonstrate the practical application of the proposed framework.