Data mining the adoption intention of e-procurement system for Chinese companies

Data mining the adoption intention of e-procurement system for Chinese companies

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Article ID: iaor2014576
Volume: 13
Issue: 2
Start Page Number: 207
End Page Number: 219
Publication Date: May 2014
Journal: International Journal of Management and Decision Making
Authors: , ,
Keywords: datamining, supply & supply chains
Abstract:

We conduct a structured survey among Chinese firms in the City of Suzhou on the adoption of e‐procurement systems. We analytically mine the data to explore the impact of operations as well as supply chain performance measures on organisational behavioural intention to adopt e‐procurement systems. The results demonstrate that a series of operations and supply chain performance measures, such as expected improved supply chain efficiency, improved operational efficiency, and reduced inventory level, are critical drivers for the adoption of e‐procurement systems among Chinese companies. The findings highlight the importance of operations and supply chain performance benefits of an e‐procurement systems as well as the importance of strategic marketing by e‐procurement systems vendors to promote those benefits.

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