IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v60y2018i4d10.1007_s12599-018-0540-6.html
   My bibliography  Save this article

Fog Computing

Author

Listed:
  • Christian Matt

    (University of Bern)

Abstract

No abstract is available for this item.

Suggested Citation

  • Christian Matt, 2018. "Fog Computing," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(4), pages 351-355, August.
    • Handle: RePEc:spr:binfse:v:60:y:2018:i:4:d:10.1007_s12599-018-0540-6
    DOI: 10.1007/s12599-018-0540-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12599-018-0540-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12599-018-0540-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Christof Weinhardt & Arun Anandasivam & Benjamin Blau & Nikolay Borissov & Thomas Meinl & Wibke Michalk & Jochen Stößer, 2009. "Cloud Computing – A Classification, Business Models, and Research Directions," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(5), pages 391-399, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stine Labes & Nicolai Hanner & Ruediger Zarnekow, 2017. "Successful Business Model Types of Cloud Providers," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(4), pages 223-233, August.
    2. Kumar, Harish & Singh, Manoj Kumar & Gupta, M.P. & Madaan, Jitendra, 2020. "Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    3. Scholz, Roland W. & Czichos, Reiner & Parycek, Peter & Lampoltshammer, Thomas J., 2020. "Organizational vulnerability of digital threats: A first validation of an assessment method," European Journal of Operational Research, Elsevier, vol. 282(2), pages 627-643.
    4. Jasmien Lismont & Tine Van Calster & María Óskarsdóttir & Seppe vanden Broucke & Bart Baesens & Wilfried Lemahieu & Jan Vanthienen, 2019. "Closing the Gap Between Experts and Novices Using Analytics-as-a-Service: An Experimental Study," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(6), pages 679-693, December.
    5. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    6. Wil M. P. Aalst & Jörg Becker & Martin Bichler & Hans Ulrich Buhl & Jens Dibbern & Ulrich Frank & Ulrich Hasenkamp & Armin Heinzl & Oliver Hinz & Kai-Lung Hui & Matthias Jarke & Dimitris Karagiannis &, 2018. "Views on the Past, Present, and Future of Business and Information Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(6), pages 443-477, December.
    7. Sebastian Lins & Konstantin D. Pandl & Heiner Teigeler & Scott Thiebes & Calvin Bayer & Ali Sunyaev, 2021. "Artificial Intelligence as a Service," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 441-456, August.
    8. In Lee, 2019. "Pricing schemes and profit-maximizing pricing for cloud services," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 112-122, April.
    9. Fraccascia, Luca, 2020. "Quantifying the direct network effect for online platforms supporting industrial symbiosis: an agent-based simulation study," Ecological Economics, Elsevier, vol. 170(C).
    10. Hajar Mousannif & Ismail Khalil & Gabriele Kotsis, 2013. "Collaborative learning in the clouds," Information Systems Frontiers, Springer, vol. 15(2), pages 159-165, April.
    11. Payam Hanafizadeh & Parastou Hatami & Erik Bohlin, 2019. "Business models of Internet service providers," Netnomics, Springer, vol. 20(1), pages 55-99, April.
    12. Severin Oesterle & Jan Jöhnk & Robert Keller & Nils Urbach & Xin Yu, 2020. "A contingency lens on cloud provider management processes," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1451-1489, November.
    13. Sommarberg, Matti & Mäkinen, Saku J., 2019. "A method for anticipating the disruptive nature of digitalization in the machine-building industry," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 808-819.
    14. Shrutika Mishra & A. R. Tripathi, 2020. "Literature review on business prototypes for digital platform," Journal of Innovation and Entrepreneurship, Springer, vol. 9(1), pages 1-19, December.
    15. Jiang Yu & Yue Zhang, 2013. "Institutional Arrangement, Technological Innovation and Application Evolution: The Rise of China’S Emerging Computing Infrastructure," Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management,, ToKnowPress.
    16. Victor Chang, 2020. "Presenting Cloud Business Performance for Manufacturing Organizations," Information Systems Frontiers, Springer, vol. 22(1), pages 59-75, February.
    17. Raut, Rakesh D. & Priyadarshinee, Pragati & Gardas, Bhaskar B. & Jha, Manoj Kumar, 2018. "Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 98-123.
    18. Benedikt Martens & Frank Teuteberg, 2012. "Decision-making in cloud computing environments: A cost and risk based approach," Information Systems Frontiers, Springer, vol. 14(4), pages 871-893, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:binfse:v:60:y:2018:i:4:d:10.1007_s12599-018-0540-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.