Towards achieving competitive advantage through making the right operating model choices
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Conference Proceeding
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Publication Year
2023
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Companion Proceedings of the 16th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modeling and the 13th Enterprise Design and Engineering Working Conference
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Abstract
Increasing turbulence of business environments provides entities with opportunities for innovation and transformation. A frequently used concept to organize for such environments and to make resource-driven decisions for innovation and transformation is an operating model (OM). Recent research has contributed to a better understanding of OM, but overall, we lack a comprehensive picture of the OM concept and more specifically, how entities can use the OM concept to configure digital resources (DR) and position the OM as an EA artifact in organizing for digital transformation and to support strategic decision making. In this PhD study, we aim to answer the research question how the fit between strategy and OM can lead to competitive move(s). We plan to answer our research question by undertaking three studies with each a unique methodology, both qualitative and quantitative, and therefore enforcing rigor in the design of the studies. We have combined the concept of an OM with the resource-based view (RBV) theory and will show its potential to become a powerful explanatory framework for decisions on orchestrating and leveraging resources in organizations. Especially when extending the boundaries of the OM to an ecosystem and focusing on digital resources, there is yet a lot left unexplored. This research should result in a research agenda to position the OM in academic research as an EA artifact to study decisions related to digital resources. For managers, this PhD should result in a framework to describe and discuss digital resource related decisions and guidelines for discussing governance and value of configuring digital resources.
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Keywords
Operating Model, Digital Transformation, Digital Resources, Enterprise Architecture, Configuration Theory