The role of digital technologies in service business transformation is under-investigated. This paper contributes to filling\ud
this gap by addressing how the Internet of things (IoT), cloud computing (CC) and predictive analytics (PA) facilitate\ud
service transformation in industrial companies. Through the Data–Information–Knowledge–Wisdom (DIKW) model, we\ud
discuss how the abovementioned technologies transform low-level entities such as data into information and knowledge\ud
to support the service transformation of manufacturers. We propose a set of digital capabilities, based on the extant\ud
literature and the findings from four case studies. Then, we discuss how these capabilities support the service transformation\ud
trajectories of manufacturers. We find that IoT is foundational to any service transformation, although it is mostly\ud
needed to become an availability provider. PA is essential for moving to the performance provider profile. Besides\ud
providing scalability in all profiles, CC is specifically used to implement an industrialiser strategy, therefore leading to\ud
standardised, repeatable and productised offering
Although PD US appears to depict the interlobular vasculature up to the renal capsule, care should be taken in the diagnosis of perfusion defects, since absence of detectable flow at the interlobular level does not always correspond to cortical areas that lack perfusion on MR images.
The aim of this study was to compare midfacial soft tissue assessment and horizontal width changes of fresh socket implants in immediate and delayed prosthetic restorations. Patients requiring extractions in the maxillary esthetic zone were recruited. In one group, 30 implants were placed using an immediate loading approach; in the second group, 30 implants were loaded after a period of 3 months. At the 4-year follow-up, statistically significant differences (P < .001) were found. Immediate implants restored on the day of surgery demonstrated more stable midfacial soft tissue levels and bone volume maintenance than delayed implants.
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