Auflistung nach Autor:in "Schwarz, Philip"

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  • Vorschaubild nicht verfügbar
    Publikation
    Archetypes of early adopters in quantum computing - In the context of supply chain problems
    (Hochschule für Wirtschaft FHNW, 2022) Schwarz, Philip; Ehrenthal, Joachim
    The developments in quantum computing have rapidly increased in speed, and the so-called quantum advantage, the point where quantum computers will outperform classical computers, could soon be reached. Leading companies like Google, Amazon, IBM, Microsoft, or D-Wave are already hosting cloud services where companies can try out quantum computing possibilities. As supply chain problems often deal with complex optimisation problems, they often limit themselves through assumptions or need to take long processing time into account. The impact on the business is currently not addressed in the most distinguished journals in supply chain management. This inductive, qualitative study research collects data from 10 companies to investigate how practitioners identify, evaluate, select, and implement quantum computing applications for supply chain problems. First, six process design themes were identified, and three early adopter archetypes were developed. The results suggest that only companies that can balance the six different relevant dimensions (Strategy, Identification, Technology Type, Methodology Type, Organisation, and Evaluation) and constantly reevaluate the necessary actions in the context of the current Technology Readiness Level are more likely to select suitable quantum technology and methods for their supply chain problems. Finally, the results open up research in the supply chain area for the possible application of quantum computing and derive actionable recommendations for business leaders.
    11 - Studentische Arbeit
  • Vorschaubild nicht verfügbar
    Publikation
    Digitalizing the supply chain of clinical trials
    (SAGE, 2022) Antonuccio, Deborah; Buser, Lukas; Ehrenthal, Joachim; Maheswaran, Mugunthan; Schwarz, Philip [in: Journal of Information Technology Teaching Cases]
    Clinical trials investigate the effectiveness and safety of new medications and treatments before market introduction. Data quality and speed are keys to clinical trials success, together with the overall time to bring innovative medicines to patients in need. Cutting edge trials programs rely on data from participant devices to track and monitor health. The supply chain of these devices, and leveraging supply chain data to improve it, have become critical to clinical trials success. This case presents how a small Business Unit specialized improved their device supply chain by digitizing supply chain processes and leveraging supply chain data. Set in the Swiss pharmaceuticals industry, case provides rich insights on data collection and exchange in clinical trials supply chains.
    01A - Beitrag in wissenschaftlicher Zeitschrift