Conference Agenda
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Agenda Overview |
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D314: KNOWLEDGE AND ORGANISATIONAL SYSTEMS IN ENGINEERING DESIGN
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Be yourself – be an engineer: personal strengths and value in an interconnected engineering ecosystem 1The Open University, United Kingdom; 2Chalmers University of Technology, Sweden Engineers need to connect knowledge, based on science and technology, with knowledge about humans and society. To operate in a sociotechnical context a variety of different people with different skills are needed. This paper argues that therein lies an opportunity for all who have the skills and interests to find a fulfilling role in engineering that aligns interests in technical task, their role, their identity, their personal strengths and their values, illustrated by women in engineering and sustainability. Navigating knowledge silos and system distrust in cross-sectoral R&D Skolkovo Institute of Science and Technology, Russian Federation Knowledge management (KM) is crucial for efficient cross-sectoral R&D. Our study, performed with academic and industry experts (n=17), reveals a deep distrust in formal KM platforms and a high reliance on personal networks. Based on the findings of how the personal networks serve for knowledge management and exchange, we propose a concept and basic design requirements for an AI-powered 'knowledge orchestrator’. Accounting the promise and the capabilities of the modern AI, this AI-powered 'knowledge orchestrator’ may serve as a new generation of KM system for modern cross-sectoral R&D. The seven parameters of organizational change 1CentraleSupélec, France; 2Université Paris Saclay, France; 3Grenoble Ecole de Management, France; 4École de technologie supérieure, Canada Here we propose seven meta-theoretical parameters of change (7MTPC)—Plannability, Manageability, Stability, Trajectory, Origin, Motor, and Scale—to provide a shared coordinate system for comparing organizational change approaches. Derived from classic and contemporary theories, the 7MTPC make explicit the assumptions about predictability, agency, and causality that underlie them. The framework offers scholars and practitioners a common language to map, contrast, and combine models, towards a systematic and evolutionary understanding of organizational change. Capability-based engineering transformation – the periodic table of engineering capabilities 1Fraunhofer IEM, Germany; 2Heinz Nixdorf Institute, Paderborn University, Germany The increasing digitalization and connectivity of development processes are forcing companies to transform their engineering comprehensively. The presented engineering reference capability map provides a structured framework for this transformation. The capability map is a four-level hierarchical model, contains essential engineering capabilities and is inspired by the periodic table of elements. Standardized profiles describe the characteristics and dependencies of each capability. The map serves as a reference framework for identifying gaps, potential, and development needs in engineering. | ||
