TOWARDS A FRAMEWORK FOR DIGITAL TRANSFOR-MATION SUCCESS IN MANUFACTURING

Digital Transformation (DT) affects whole enterprises and is expected to drive a disruptive change in the way people work. Digital technologies leverage changes from simple tasks to the enterprise-wide strategy. Enterprises expect major benefits from investments in DT. However, digital transformation is a complex process and hence difficult to understand. Many different use scenarios exist so that decisions about the adoption of technologies are challenging. Therefore, it is critical to understand which benefits might be achieved with DT. With our research, we contribute to the understanding of digital transformation success. We develop and evaluate a framework that covers the main dimensions of digital transformation success. Literature from IS success and DT research is used to identify these dimensions. To evaluate this framework, we use data gained in a qualitative approach. We combine findings from a literature research with qualitative results to offer deeper insights into peoples\u27 understanding of what shapes the success. The framework is useful to classify benefits achieved by DT and to point out new possibilities of gaining success with DT

Governance Mechanisms in Digital Platform Ecosystems: Addressing the Generativity-Control Tension

Digital platform owners repeatedly face paradoxical design decisions with regard to their platforms’ generativity and control, requiring them to facilitate co-innovation whilst simultaneously retaining control over third-party complementors. To address this challenge, platform owners deploy a variety of governance mechanisms. However, researchers and practitioners currently lack a coherent understanding of what major governance mechanisms platform owners rely on to simultaneously foster generativity and control. Conducting a structured literature review, we connect the fragmented academic discourse on governance mechanisms with each aspect of the generativity-control tension. Next to providing avenues for prospective digital platform research, we elaborate on the double-sidedness of governance mechanisms in fostering both generativity and control

Governance Mechanisms in Digital Platform Ecosystems: Addressing the Generativity-Control Tension

Digital platform owners repeatedly face paradoxical design decisions with regard to their platforms’ generativity and control, requiring them to facilitate co-innovation whilst simultaneously retaining control over third-party complementors. To address this challenge, platform owners deploy a variety of governance mechanisms. However, researchers and practitioners currently lack a coherent understanding of what major governance mechanisms platform owners rely on to simultaneously foster generativity and control. Conducting a structured literature review, we connect the fragmented academic discourse on governance mechanisms with each aspect of the generativity-control tension. Next to providing avenues for prospective digital platform research, we elaborate on the double-sidedness of governance mechanisms in fostering both generativity and control

Business and IT Capabilities for Cloud Platform Success

The growing proliferation of cloud platform ecosystems demands a deeper understanding of the capabilities that help existing and emerging platform providers to be successful by creating and appropriating value. This multiple case study of four cloud platform providers (three large, one SME) instantiates Rai and Tang’s (2014) framework of dyadic IT and network IT capabilities for a cloud platform context and extends it by exploring previously undertheorized cloud platform business capabilities. We further build on this extended framework by employing a configurational perspective to elucidate the complementary role of the three proposed business capabilities (incentives and rules, ecosystem marketing and sales, partner development and support) for relevant value creation and appropriation mechanisms. In addition to providing a capability framework catered to the cloud platform context, our findings are summarized in a set of four propositions that jointly contribute to emerging cloud platform research in IS