IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v16y2014i5d10.1007_s10796-012-9387-4.html
   My bibliography  Save this article

A methodology for the evaluation of high response time on E-commerce users and sales

Author

Listed:
  • Nicolas Poggi

    (Technical University of Catalonia (UPC))

  • David Carrera

    (Technical University of Catalonia (UPC)
    Barcelona Supercomputing Center)

  • Ricard Gavaldà

    (Technical University of Catalonia (UPC))

  • Eduard Ayguadé

    (Technical University of Catalonia (UPC)
    Barcelona Supercomputing Center)

  • Jordi Torres

    (Technical University of Catalonia (UPC)
    Barcelona Supercomputing Center)

Abstract

The widespread adoption of high speed Internet access and it’s usage for everyday tasks are causing profound changes in users’ expectations in terms of Web site performance and reliability. At the same time, server management is living a period of changes with the emergence of the cloud computing paradigm that enables scaling server infrastructures within minutes. To help set performance objectives for maximizing user satisfaction and sales, while minimizing the number of servers and their cost, we present a methodology to determine how user sales are affected as response time increases. We begin with the characterization of more than 6 months of Web performance measurements, followed by the study of how the fraction of buyers in the workload is higher at peak traffic times, to then build a model of sales through a learning process using a 5-year sales dataset. Finally, we present our evaluation of high response time on users for popular applications found in the Web.

Suggested Citation

  • Nicolas Poggi & David Carrera & Ricard Gavaldà & Eduard Ayguadé & Jordi Torres, 2014. "A methodology for the evaluation of high response time on E-commerce users and sales," Information Systems Frontiers, Springer, vol. 16(5), pages 867-885, November.
    • Handle: RePEc:spr:infosf:v:16:y:2014:i:5:d:10.1007_s10796-012-9387-4
    DOI: 10.1007/s10796-012-9387-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-012-9387-4
    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/s10796-012-9387-4?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nils Boysen & Stefan Fedtke & Stefan Schwerdfeger, 2021. "Last-mile delivery concepts: a survey from an operational research perspective," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 1-58, March.
    2. Fleckenstein, David & Klein, Robert & Steinhardt, Claudius, 2023. "Recent advances in integrating demand management and vehicle routing: A methodological review," European Journal of Operational Research, Elsevier, vol. 306(2), pages 499-518.
    3. Adah-Kole Emmanuel Onjewu & Sundas Hussain & Mohamed Yacine Haddoud, 2022. "The Interplay of E-commerce, Resilience and Exports in the Context of COVID-19," Information Systems Frontiers, Springer, vol. 24(4), pages 1209-1221, August.
    4. Pedro Costa & Helena Rodrigues, 2024. "The ever-changing business of e-commerce-net benefits while designing a new platform for small companies," Review of Managerial Science, Springer, vol. 18(9), pages 2507-2545, September.
    5. Saurabh Pratap & Sunil Kumar Jauhar & Yash Daultani & Sanjoy Kumar Paul, 2023. "Benchmarking sustainable E‐commerce enterprises based on evolving customer expectations amidst COVID‐19 pandemic," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 736-752, January.
    6. Ehsan Mousavi Khaneghah & Nosratollah Shadnoush & Amin Salem, 2017. "Artemis time: A mathematical model to calculate maximum acceptable waiting time in B2C e-commerce," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1405509-140, January.
    7. Boysen, Nils & de Koster, René & Füßler, David, 2021. "The forgotten sons: Warehousing systems for brick-and-mortar retail chains," European Journal of Operational Research, Elsevier, vol. 288(2), pages 361-381.

    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:infosf:v:16:y:2014:i:5:d:10.1007_s10796-012-9387-4. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.