IDEAS home Printed from https://ideas.repec.org/a/wsi/jikmxx/v15y2016i01ns0219649216500040.html
   My bibliography  Save this article

Supporting Competitive Intelligence at DuPont by Controlling Information Overload and Cutting Through the Noise

Author

Listed:
  • David P. Donohue

    (DuPont Experimental Station 320/186, 200 Powder Mill Road, P. O. Box 8352, DE 19803, Wilmington)

  • Peter M. Murphy

    (DuPont Experimental Station 320/186, 200 Powder Mill Road, P. O. Box 8352, DE 19803, Wilmington)

Abstract

To overcome the problems of managing too much information and curating for the valuable content, DuPont’s research, business, regulatory, manufacturing, legal, and marketing teams increasingly rely on the corporate library’s competitive intelligence (CI) team to keep up with the latest Key Intelligence Topics (KITs) affecting their strategic goals and their decision-making processes. To meet the growing demand for CI news with constrained resources, the library CI team and the software application team designed and built CIntell, a user-friendly collection of technologies and services to harvest, store, curate, and publish secondary CI information. Using exclusively open source technologies (including Weka, Rome, MySQL, Solr), CIntell automatically harvests, filters, de-duplicates, tags, classifies, and stores public and subscribed secondary information in a structured database including news, research publications, patents, government reports, and web information. The CIntell web-based user interface facilitates searching, reviewing, organising, curating, and publishing CI news of interest to a project’s owners. Implementation of CIntell has more than tripled the CI newsletter productivity of the library CI team and reduced the news clutter by more than half compared to using traditional alerting tools and sporadic DIY searching.

Suggested Citation

  • David P. Donohue & Peter M. Murphy, 2016. "Supporting Competitive Intelligence at DuPont by Controlling Information Overload and Cutting Through the Noise," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 1-14, March.
    • Handle: RePEc:wsi:jikmxx:v:15:y:2016:i:01:n:s0219649216500040
    DOI: 10.1142/S0219649216500040
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219649216500040
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219649216500040?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. Stavros T. Ponis & Ioannis T. Christou, 2013. "Competitive intelligence for SMEs: a web-based decision support system," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 12(3), pages 243-258.
    2. Ajith Abraham, 2003. "Business Intelligence from Web Usage Mining," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 2(04), pages 375-390.
    3. Ching Seng Yap & Md Zabid Abdul Rashid & Dewi Amat Sapuan, 2013. "Strategic Uncertainty and Firm Performance: The Mediating Role of Competitive Intelligence Practices," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 1-14.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Swapnajit Chakraborti & Shubhamoy Dey, 2019. "Analysis of Competitor Intelligence in the Era of Big Data: An Integrated System Using Text Summarization Based on Global Optimization," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(3), pages 345-355, June.

    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. Zahid A. Ansari & Syed Abdul Sattar & A. Vinaya Babu, 2017. "A fuzzy neural network based framework to discover user access patterns from web log data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 11(3), pages 519-546, September.
    2. Jorge E. Hernández & Andrew C. Lyons & Konstantinos Stamatopoulos, 2016. "A DSS-Based Framework for Enhancing Collaborative Web-Based Operations Management in Manufacturing SME Supply Chains," Group Decision and Negotiation, Springer, vol. 25(6), pages 1237-1259, November.
    3. Siti Hajar Mohd Mokhtar & Safawi Abdul Rahman, 2017. "The Roles of Big Data and Knowledge Management in Business Decision Making Process," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(12), pages 422-428, December.

    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:wsi:jikmxx:v:15:y:2016:i:01:n:s0219649216500040. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/jikm/jikm.shtml .

    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.