An Environmental Management Information System for Improving Reverse Logistics Decision-Making View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Dennis Stindt

ABSTRACT

Due to increased pressure from legislation, customers and the competitive environment, corporations are forced to consider product take-back and reprocessing. Such issues of reverse logistics cause significant intricacies which requires an adaption of prevalent decision-support models. Those models face severe criticism concerning the quality of fundamental data and transferability of its results. Hence, the practical usefulness and applicability of generated insights is doubtable. We propose an environmental management information system (EMIS) that ultimately helps to improve decision-making processes in reverse logistics. Hereby, we apply a design-science approach based on technical feasibility and business requirements. Therefore, we identify domain-specific information requirements and according information sources. In addition, we provide a description of those source systems and depict their interrelations. In sum, both academia and business practice may benefit from the developed artifact that is tailored for issues of reverse logistics. More... »

PAGES

163-177

References to SciGraph publications

  • 2013. An Ontology-Driven Case Study for the Knowledge Representation of Management Information Systems in INFORMATION SYSTEMS, E-LEARNING, AND KNOWLEDGE MANAGEMENT RESEARCH
  • 2009. State of the art and future research in Environmental Management Information Systems - a systematic literature review in INFORMATION TECHNOLOGIES IN ENVIRONMENTAL ENGINEERING
  • 2005. Reverse Logistics: A Review of Case Studies in DISTRIBUTION LOGISTICS
  • 2010-08. Abbildung von Umweltwirkungen in betrieblichen Informationssystemen in HMD PRAXIS DER WIRTSCHAFTSINFORMATIK
  • 2014-06. Review of research on closed loop supply chain management in the process industry in FLEXIBLE SERVICES AND MANUFACTURING JOURNAL
  • 2013-10. Leveraging Green IS in Logistics in BUSINESS & INFORMATION SYSTEMS ENGINEERING
  • 2011-08. Green IT: A Matter of Business and Information Systems Engineering? in BUSINESS & INFORMATION SYSTEMS ENGINEERING
  • Book

    TITLE

    Computational Logistics

    ISBN

    978-3-319-11420-0
    978-3-319-11421-7

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-11421-7_11

    DOI

    http://dx.doi.org/10.1007/978-3-319-11421-7_11

    DIMENSIONS

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