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

Authors: Sharma Pillutla; Dong-Qing Yao; Xiaolin Li

Addresses: Department of E-Business and Technology Management, College of Business and Economics, Towson University, MD, 21252, USA ' Department of E-Business and Technology Management, College of Business and Economics, Towson University, MD, 21252, USA ' Department of E-Business and Technology Management, College of Business and Economics, Towson University, MD, 21252, USA

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.

Keywords: e-procurement; technology adoption; operations performance; supply chain performance; strategic marketing; China; data mining; adoption intention; electronic procurement; online procurement; supply chain efficiency; operational efficiency; inventory level; supply chain management; SCM.

DOI: 10.1504/IJMDM.2014.060872

International Journal of Management and Decision Making, 2014 Vol.13 No.2, pp.207 - 219

Received: 02 Oct 2013
Accepted: 02 Dec 2013
Published online: 30 May 2014 *

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