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Implementing ERP through continuous improvement

Authors: W. H. Ip; Ka Yin Chau; S. F. Chan;

Implementing ERP through continuous improvement

Abstract

Enterprises Resources Planning (ERP) is one of the most popular manufacturing information systems employed to help manufacturing companies gain competitive advantages. However, earlier studies identified that People, Education and Training, Management involvement and Timing are four major obstacles to implementation. This paper proposed a continuous improvement approach to overcome these difficulties. It aims to formulate a systematic implementation process that incorporates the tools of continuous improvement and considers the behavioural aspects in ERP implementation. The results demonstrate that ERP implementation is much more convoluted than the simple and straight forward processes described by other researchers; continuous improvement is the most useful methodology.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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