Concept for Assessing the Value and Benefits of Manufacturing Data in the Context of Platform-based Business Models
Year: 2024
Type: article
Abstract: Data has the potential to become a key economic resource in the future value creation process of companies and is increasing in importance as data assets. In this context, platform-based business models that coordinate the provision and exchange of data between different players in an ecosystem play a central role. Today, machine and process data is already being collected at the operational level, shared across companies and used by the players in the ecosystem to optimize their own manufacturing processes in terms of resource efficiency and sustainability. However, a central challenge of platform-based business models is that the value and concrete benefits of data shared across companies are in many cases unknown and thus the willingness to share data within an ecosystem decreases. Based on this, a concept of an approach for assessing the value and benefits of manufacturing data in the context of platformbased business models was developed, with a focus on potential users in medium-sized and small manufacturing companies. For this purpose, current requirements for an approach to determine data values were collected and transferred into a 3-step concept of a method. Finally, the concept was validated using a reference use case from the machining industry in order to test the basic applicability of the concept and to identify further development potential.
Institution: RWTH Aachen University
Language: English
Subfield: Strategy and Management
Domain: Social Sciences
Open Access status: hybrid
Funder: Deutsche Forschungsgemeinschaft
OpenAlex ID: W4402323681