Location

260-009, Owen G. Glenn Building

Start Date

12-15-2014

Description

Decision-making on issues of corporate sustainability is an emerging topic in both academia and business practice. Nevertheless, contemporary environmental decision-support models show significant shortcomings that call into question the usefulness and applicability of the results of such decision-making. To improve the quality of corporate sustainable decision-making, we apply a design-science approach to develop an environmental management information system. This design-artifact is developed based on technical feasibility and business requirements that are elaborated in collaboration with practitioners. We identify domain-specific information demands and source systems. Appropriate systems and their interrelations are also described. Overall, both academia and business practice would benefit from the developed artifact, which is tailored for issues of corporate sustainability, as it enables holistic decision-making based on sound data sourcing, warehousing, and appropriate decision-support applications. Finally, we demonstrate the applicability of the artifact within a real-world case study concerning product take-back and reprocessing of used IT equipment.

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Dec 15th, 12:00 AM

An Environmental Management Information System for Closing Knowledge Gaps in Corporate Sustainable Decision-Making

260-009, Owen G. Glenn Building

Decision-making on issues of corporate sustainability is an emerging topic in both academia and business practice. Nevertheless, contemporary environmental decision-support models show significant shortcomings that call into question the usefulness and applicability of the results of such decision-making. To improve the quality of corporate sustainable decision-making, we apply a design-science approach to develop an environmental management information system. This design-artifact is developed based on technical feasibility and business requirements that are elaborated in collaboration with practitioners. We identify domain-specific information demands and source systems. Appropriate systems and their interrelations are also described. Overall, both academia and business practice would benefit from the developed artifact, which is tailored for issues of corporate sustainability, as it enables holistic decision-making based on sound data sourcing, warehousing, and appropriate decision-support applications. Finally, we demonstrate the applicability of the artifact within a real-world case study concerning product take-back and reprocessing of used IT equipment.