MURAL - Maynooth University Research Archive Library



    Optimizing Flow Network Design With A Green IS Framework: An Exploration Of The Bikeshare Domain


    Bradshaw, Robert and Donnellan, Brian (2013) Optimizing Flow Network Design With A Green IS Framework: An Exploration Of The Bikeshare Domain. In: 21st European Conference on Information Systems 2013 (ECIS), 5 - 8 June 2010, Utrecht University.

    [img]
    Preview
    Download (295kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    It is being increasingly acknowledged, in both the IS and sustainability literature that the greatest opportunity for “green” information systems is in the reduction of energy consumption and associated green house gases through the optimal design of supply and demand networks. This paper reports the findings of a multiple case study investigation into how a comparatively new green IS framework - energy informatics – might be used to enhance the design of bikeshare schemes. The central concept of bikeshare is to provide an affordable alternative to motorized transportation and in so doing reduce congestion, noise, and pollution. The findings from the research validate an extended version of the framework and add to the current body of knowledge on the capacity of information systems to support environmental sustainability. Future research will be required to understand the degree to which the framework can inform the design of supply and demand networks in other domains.

    Item Type: Conference or Workshop Item (Paper)
    Additional Information: Cite as: McGeogh, Brian T. and Donnellan, Brian, "Factors That Affect The Adoption Of Cloud Computing For An Enterprise: A Case Study Of Cloud Adoption Within Intel Corporation" (2013). ECIS 2013 Completed Research. 37. https://aisel.aisnet.org/ecis2013_cr/37
    Keywords: Green IS; Sustainability; Supply and Demand Networks; Energy Informatics; Bikeshare;
    Academic Unit: Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
    Faculty of Social Sciences > School of Business
    Item ID: 10872
    Depositing User: Prof. Brian Donnellan
    Date Deposited: 13 Jun 2019 13:59
    Refereed: Yes
    URI:
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads