Hendrik Hilpert

Real-Time Data Collection for Product Carbon Footprints in Transportation Processes Based on OBD2 and Smartphones

Calculating product carbon footprints (PCF) is a central function of Environmental Management Information Systems (EMIS). Collecting accurate data for EMIS in general and PCF in particular is a critical issue. Nowadays, emission data of transportation processes are mostly based on averages and estimations, as data on actual emissions of transportation processes are costly to collect. In this paper, we propose a cost-efficient system for real-time data gathering for PCF in transportation processes based on vehicle on-board systems and smartphones. We present the system architecture, outline the application logic and - based on a generic multi-echelon transportation network - we specify its application and integration into EMIS.

Datensicherheit und Datenschutz im Cloud Computing — Risiken und Kriterien zur Anbieterauswahl

ZusammenfassungAuf der Suche nach Kostensenkungspotenzial denken viele Unternehmen über die Auslagerung von Software auf fremde Server oder die Nutzung von extern gehosteten Anwendungen nach, um die so entstehenden Skaleneffekte nutzen zu können. Als gröβte Herausforderung wird dabei die Sicherheit angesehen, da die Daten über ein unsicheres Netzwerk — das Internet — übertragen werden und der Ort der Speicherung und Verarbeitung häufig dem Kunden nicht bekannt gegeben wird. Diese Situation führt zu Herausforderungen aus technischer und juristischer Sicht, die bei der Auswahl eines Cloud Computing-Anbieters und insbesondere dem Vertragsabschluss berücksichtigt werden müssen. Mit geeigneten technischen Maβnahmen wie Monitoring oder Verschlüsselung sowie juristischen Mitteln wie EU-Standardvertragsklauseln oder Safe Harbor Principles kann diesen Herausforderungen jedoch begegnet werden.

Green IS for GHG emission reporting on product-level? an action design research project in the meat industry

Greenhouse gas emission reporting gained importance in the last years, due to societal and governmental pressure. However, this task is highly complex, especially in interdependent batch production processes and for reporting on the product-level. Green information systems, which collect, process and enhance the environmental information basis, are seen as a possible solution for this complex task, but only few Green IS accrued in IS research and practice. In this paper, we present initial results from an action design science research project. We studied three meat processing companies and developed a Green IS artifact that is capable to collect, process and report energy consumption and GHG emissions on product and process level. The evaluation for two sausage products shows that the artifact enhances the information basis with more detailed data towards average calculations, enabling more sustainable business processes. Finally, we propose design principles for the class of environmental accounting on product-level.