Abstract

Digital Innovation Hubs (DIHs) are ecosystems sustaining European enterprises to overcome innovation hurdles and push Europe as a world leading innovator in the Fourth Industrial Revolution context.They operate as a one-stop-shop, characterized by four main functionalities, i.e., test before invest, support to find investments, innovation ecosystem and networking, skills and training. These functionalities are addressed through the delivery of a set of services, grouped in the five macro-classes of services of the Data-driven Business-Ecosystem-Skills-Technology (D-BEST) model, a reference model able to configure the service portfolios of DIHs and to model collaborative networks in the I4.0 era. The model has been used in the DIH4CPS project toclassify the extant service portfolios of the DIHs belonging to the network, to detect which new services should be provided in the future by the network of DIHs, and to identify opportunities for collaboration among DIHs fostering the creation of a pan-European DIH. However, to support an easier codification of such dynamics directly involving companies in the innovative DIHs ecosystems, a Customer Journey(CJ) analysis method has still to be built. This paper presents the D-BEST-based CJ analysis method, identifying typical digital transformation processes for the two main categories of customers of a DIH, Technology Users and Technology Providers.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.