LEVERAGING THE VALUE OF DATA-DRIVEN SERVICE SYSTEMS IN MANUFACTURING: A GRAPH-BASED APPROACH

2019 | European Conference On Information Systems | Citations: 0

Authors: Kammler, Friedemann; Hagen, Simon; Brinker, Jonas; Thomas, Oliver

Abstract: The utilization of data is a prominent goal for the digital transformation of bu ... Expand

Abstract: The utilization of data is a prominent goal for the digital transformation of business models. Related research provides a variety of insights on methods that can be applied in order to gather information as well as managerial perspectives and single use cases that demonstrate the operationalization of such and guide readers through necessary transformative steps. However, with the advent of digitized products and services, goods are decreasingly conceived and marketed exclusively. Rather, they interact with other goods on an informational level and retrieve additional value from their systemic integration. We argue that the utilization of such "data-driven service systems" requires a holistic perspective that regards the complete "digital value chain" from the initial data retrieval to the execution of contextbased services. This contribution presents a graph-based approach for the integration of event information in service activities in order to leverage the conceptual value. We pilot the transformation of a maintenance process in Manufacturing to evaluate our approach. It turned out that the exemplary process could be simplified from 8 to 4 actions that remained to be executed. Concluding, we discuss the business value and the general applicability of the approach for further use cases. Collapse

Topics: Neo4j graph database analytical information system service-support information system business process management

Methods: modeling language design artifact business process model and notation business process modeling language business process modeling