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Orchestrating Enterprise Transformation and Business Processes Through Data-Driven Steering

In: Digital Innovation and Organizational Transformation

Author

Listed:
  • Benedict Lösser

    (University of St. Gallen, Institute of Information Systems and Digital Business)

  • Robert Winter

    (University of St. Gallen, Institute of Information Systems and Digital Business)

Abstract

Organizations are compelled by a variety of strategic and contextual shifts, as well as the pervasive nature of digital changes, to undertake enterprise transformation (ET). Such endeavors typically entail profound and emergent changes across multiple organizational levels and key constituencies, with business processes being a particularly sensitive aspect due to their ongoing dynamics. Despite the practical significance of business processes within enterprise-level change, there is only little research on the dynamic interplay between business processes and the ET. This study aims filling the gap by proposing an integrated, data-driven ET and business process steering. The designed method framework is based on the utilization of existing data sources of an enterprise. It is informed by a real-world case, dynamic capabilities as kernel theory and the existing literature on business process dynamics, ET, and digital twins in context of processual phenomena. We validated the proposal using a focus group of technology-related executives.

Suggested Citation

  • Benedict Lösser & Robert Winter, 2026. "Orchestrating Enterprise Transformation and Business Processes Through Data-Driven Steering," Lecture Notes in Information Systems and Organization, in: Christoph M. Flath & Gunther Gust & Frédéric Thiesse & Axel Winkelmann (ed.), Digital Innovation and Organizational Transformation, pages 87-101, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-08483-5_7
    DOI: 10.1007/978-3-032-08483-5_7
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