Abstract

Organizations’ ability to identify the potential of digital technologies represents a crucial challenge for successfully managing their digital transformation (DT). To tackle this challenge processes are needed that integrate the technological, domain specific and economic expertise within an organization for identifying digital transformation opportunities. Currently, however, approaches to support these recognition processes are scarcely described in information systems engineering. To close this gap an ensemble artefact - namely a methodological process model that enables the recognition of DT opportunities in collaborative settings - has been developed by applying action design research (ADR), involving researchers and practitioners. The final artefact, developed in four iterations, combines a taxonomy and a procedural model. The taxonomy conceptualizes DT as a combination of context-specific instances of three meta-elements (representation, technology and effect). In addition, the procedural model of activities and states guides the recognition process. The artefact’s evaluation regarding usability, productivity, validity as well as overall acceptance indicates that this approach is a viable solution for organizations aiming to bridge the silos between domain, business and technology expertise in the context of DT opportunity recognition.

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