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    A Taxonomic Approach to Supplier Intelligence in Manufacturing: Managing Components of Strategic Procurement Planning

    Access Status
    Fulltext not available
    Authors
    Jeeva, Ananda
    Dickie, Carolyn
    Date
    2012
    Type
    Journal Article
    
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    Citation
    Jeeva, A. and Dickie, C. 2012. A Taxonomic Approach to Supplier Intelligence in Manufacturing: Managing Components of Strategic Procurement Planning. International Journal of Business Environment. 5 (1): pp. 88-100.
    Source Title
    International Journal of Business Environment
    ISSN
    1740-0589
    School
    School of Information Systems
    URI
    http://hdl.handle.net/20.500.11937/49189
    Collection
    • Curtin Research Publications
    Abstract

    This paper is used to explore requirements for achieving sustainability and survival of manufacturing organisations by means of ensuring continuous supplies for production. Under the current environmental uncertainty due to the global financial crisis and consequent demise of many companies, the contention is that manufacturers require more information and data regarding their suppliers and use supplier intelligence (SI) to reduce supply risk. Current research literature indicates there is little information regarding supplier intelligence; in the context of the supplier's supplier, supplier's financial health in terms of capital investment, debt, share market performance, financial reporting, accounting practices, auditing, corporate governance and operating environment. Consequently, a conceptual framework is proposed for gathering supplier intelligence to improve supplier relations and their management, The impetus for a planned approach to increasing information about a trading partner has become more critical since the collapse of well-known and stable MNCs and the desmise of tier 2 suppliers. Supplier intelligence enables the buyer to advance their operations and long term strategies to succeed with more certainty, less supply risk, increased competitive advantage and greater innovative capabilities. Finally, a taxonomy for collecting SI data and information is proposed.

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