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Auflistung nach Autor:in "Schneiter, Gustav"

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  • Konferenzbeitrag
    Environmental Data Processing: Science meets Business Engineering
    (Sustainability in the Information Society, 2001) Jakob, Peter; Bernhard, Luzi; Schneiter, Gustav; Sutter, Flurin
    Several aspects of data management are very similar in both current ecological research and the modern business world: the volume of data acquired is high and financial resources are scarce. Therefore it is necessary to implement efficient automated processes for everyday data acquisition and data management. Recent innovations in telecommunication technology (i.e. use of the GSM-Network for digital data transfer) allow the inexpensive acquisition of data from remote research plots. Such innovations in combination with scarce financial resources force ecological research organisations to transform their work flows in the field of automated data acquisition. This paper will show an example of how Business Engineering methods can be usefully adapted in the world of science, especially in the field of ecological research.
  • Konferenzbeitrag
    IT-Replacement Investments and Sustainability Within Swiss Forest Ecosystem Research: The Broad and the Narrow Strategy
    (The Information Society and Enlargement of the European Union, 2003) Jakob, Peter; Schneiter, Gustav; Rösler, Erik; Hug, Christian; Sutter, Flurin
    Two different replacement investment strategies, derived from two case studies within Swiss Forest Ecosystem Research, are assessed for sustainability in terms of dematerialization and low rebound effect. The so-called broad strategy uses a broad focus on the whole replacement investment field. It includes analysing and optimising all processes and workflows and then choosing the appropriate hardand software components. It is the mainstream replacement investment strategy nowadays. The narrow strategy has the goal of keeping the old, possibly already optimised workflows and processes and using modern “dematerialised” devices. The advantages of this strategy are a low or no rebound in combination with a considerable dematerialization effect. This approach is often ignored in today’s IT investment decisions. The two strategies can be combined to find an optimal, project-specific solution.