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Us not them! Impeding knowledge management in supply chains

โœ Scribed by John Kidd


Publisher
John Wiley and Sons
Year
2003
Tongue
English
Weight
114 KB
Volume
10
Category
Article
ISSN
1092-4604

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โœฆ Synopsis


Abstract

For many years following the Industrial Revolution there was a period of stability where knowledge of processes could be assimilated at a slow pace by new generations of workers: one ploughed the fields, set the seeds, and in due course gathered in the crops. Father taught son, and so life rolled on. This is not so nowadays, capital equipment is much larger and more expensive so it has to be kept working day and (often) at night, and to raise efficiency there are satellite guidance systems (GPS) to locate exactly where in the fields to administer changes in fertilizer regimes following soil and yield assessment. Statistical analyses and data management have become a dominant factor in modern farm managementโ€”as has maintaining awareness of global events and regional legislation with respect to production limits and quota systems. In other words, the pace of life has quickened, and knowledge management has become a real need. The acquisition of data has to be fast, and its exchange between workers has to be open to develop an awareness of interlinks between all the pertinent data. We know the world is not โ€˜idealโ€™, so in this paper we will look to the factors that might inhibit knowledge transfer, thus delay or deny learning. Further, as each enterprise is but one in a complex web of โ€˜supply chainsโ€™, we will note macro factors that may inhibit better micro performance in multinational companies as they attempt to pursue their global business and exchange their knowledge. Copyright ยฉ 2003 John Wiley & Sons, Ltd.


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โœ Murali Sambasivan; Siew-Phaik Loke; Zainal Abidin-Mohamed ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 153 KB ๐Ÿ‘ 1 views

## Abstract This research deals with two important aspects of Knowledge Management (KM) within the context of Supply chain Management (SCM): Knowledge Acquisition and Knowledge Application. Supply Chain Learning (SCL) and Applied Supply Chain Process Knowledge (Applied SCPK) are used as proxies for