Though data is largely recognized as a new form of capital in the digital era, little research has been done on how innovations related to finding health professionals and using health services are evolving in smart-city-based, preventive healthcare service delivery networks. How does digital data affect preventive healthcare practices in service delivery networks? Evidence is provided from a smart city service delivery network on how data and ICT usage impact preventive healthcare innovations. The research is based on a case study highlighting the transformations continuously occurring in such a network. The results suggest that using data from different sectors will enable individuals and health professionals to communicate via intelligent personalized services, which will act as agents, guiding and coaching individuals to change their lifestyles to avoid chronic diseases. This study provides new knowledge on how continuously using health data can produce novel routines and innovations in healthcare networks over time.
Data is becoming a more and more important resource for future innovations. Companies are currently considering how to leverage personal data in preventive healthcare and in other sectors. However, there are many challenges hindering the development of data-driven businesses in extant business networks. The purpose of this paper is to explore the success factors of data-driven service delivery networks in the context of preventive healthcare. The results are examples of the benefits and challenges of data availability and usage, based on a qualitative case study, in which a network of actors is integrating resources to solve the needs of their end customers. The results underline the success factors for service delivery networks, creating a baseline for human-centric, personalized and preventive healthcare solutions. The study enriches the theoretical perspective of data, services and service delivery networks by continuing discussion on how big data resources become cooperative assets not only in a firm but also on the network level. This study has multiple implications for practitioners trying to navigate the turbulent waters of the changing business environment and evolving service delivery network of preventive healthcare. Especially small and medium size of firms could use the identified success factors when planning new data-driven services in their networks. Our analysis brings new perspective between a firm and the actors in its network, particularly in the preventive healthcare sector wherein data needs to be shared between actors via consent of the individuals.
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