The Role of Data within the Service Prototyping Design Dimensions

In the age of digitalization and servitization, information and data are valuable resources. Organizations can leverage the available data with their current knowledge to be able to generate more information and potentially induce more revenue. Smart services are very relevant now in the industrial manufacturing sector. Services add their value mainly through the benefit arising to the stakeholders from using them. Smart services use data to add value to all stakeholders. Based on our previous studies, we have identified Smart services categorization that can range from digital twins, and condition-based maintenance processes, to immersive and remote training. We have also demonstrated that Service Prototyping allows service stakeholders to experience a service even before it exists. The resulting anticipated experience increases the probability of service success and stakeholders' satisfaction. Therefore, we propose to add the data dimension to the Service Prototyping design dimensions, which allows all stakeholders to have a better understanding and vision of their prototyped smart services, especially in the digital-based ecosystem. We explore a new topology of the service prototyping design dimensions including the data dimension, which would be based on the characteristics and elements of the product, service, and system engineering architectures. This paper covers the initial exploration of the potential benefits of adding data as a new service prototyping design dimension as a step forward. The proposed data design dimension results in three categories, namely: digital service, smart services, smart PSS, and six data-based functions.