IDEAS home Printed from https://ideas.repec.org/a/ids/ijilea/v4y2007i2p145-159.html
   My bibliography  Save this article

Linking knowledge management and innovation management in e-business

Author

Listed:
  • Ming-Chang Lee
  • To Chang

Abstract

Knowledge lies at the very heart of innovation. A firm's ability to create, store and transfer knowledge about technologies, customer needs, and the innovation process itself may well determine success in bringing new products or services to the market. Systemic innovations requiring multiple companies to change in a coordinated fashion include recent advances in supply chain management, increasing use of enterprise resource planning, and the prefabrication of component system. One such conceptualisation is proposed in this paper, a framework for developing organisational knowledge management system for e-business model innovation, including theory framework of knowledge, innovation management, and e-business. It concludes that such an innovative model must be central to the enterprise operation.

Suggested Citation

  • Ming-Chang Lee & To Chang, 2007. "Linking knowledge management and innovation management in e-business," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 4(2), pages 145-159.
  • Handle: RePEc:ids:ijilea:v:4:y:2007:i:2:p:145-159
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=11690
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Fatih Gurcan & Ahmet Ayaz & Gonca Gokce Menekse Dalveren & Mohammad Derawi, 2023. "Business Intelligence Strategies, Best Practices, and Latest Trends: Analysis of Scientometric Data from 2003 to 2023 Using Machine Learning," Sustainability, MDPI, vol. 15(13), pages 1-23, June.
    2. Mohd Arif Fahmi Bidin & Alwi Mohd Yunus, 2017. "Business Intelligence Using Data Mining for Organizational Sustainability: A Case Study of Digi Telecommunication Sdn Bhd," 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 471-485, December.
    3. Dominique Lepore & Sabrina Dubbini & Alessandra Micozzi & Francesca Spigarelli, 2022. "Knowledge Sharing Opportunities for Industry 4.0 Firms," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 501-520, March.

    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:ids:ijilea:v:4:y:2007:i:2:p:145-159. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=57 .

    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.