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Real-world products and physics-based simulations are becoming interconnected. In particular, real-time capable dynamic simulation has made it possible for simulation models to run in parallel and simultaneously with operating machinery. This capability combined with state observer techniques such as Kalman filtering have enabled the synchronization between simulation and the real world. State estimator techniques can be applied to estimate unmeasured quantities, also referred as virtual sensing, or to enhance the quality of measured signals. Although synchronized models could be used in a number of ways, value creation and business model development are currently defining the most practical and beneficial use cases from a business perspective. The research reported here reveals the communication and collaboration methods that lead to economically relevant technology solutions. Two case examples are given that demonstrate the proposed methodology. The work benefited from the broad perspective of researchers from different backgrounds and the joint effort to drive the technology development towards business relevant cases.

Evaluating how an Information Systems (IS) intervention in the workplace affects daily work and impacts on workers and organizations is a challenge that requires a very broad research approach. IS researchers have derived several models to explain and measure IS success, taking various perspectives and system types into account. This study presents an evaluation framework for measuring the impacts of an IS intervention especially at the shop floor in production environments. In this framework, we take a broad scope of examination and apply an integrated model that comprises elements from several methods for analyzing the acceptance and the impact of the new solutions. Thus, the aim is to further develop and enhance the existing methods and models for measuring the acceptance and the impacts of the sociotechnical interventions in production environments.

Selling complex data-based solutions is multifaceted as ecosystem actors perceive the value differently during the product lifecycle. The purpose of this paper is to study data-based solution sales in business ecosystems by presenting findings from nine recent interviews with manufacturing industry professionals. The results are demonstrated in two categories: 1) challenges in sharing, selling and buying data, and 2) the value of data for different actors in an ecosystem-like business environment. The managerial implications consist of clarifying the scattered viewpoints for selling data-based solutions and value formulation for different actors in an ecosystem. Theoretical contributions provide important aspects for the gap between business and sales research of data-based solutions, as current literature mainly focuses on the technical aspects.

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