Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/8030
Title: Internal and contextual factors, knowledge processes and performance: From the Chinese provider's perspective
Authors: Ai, S
Du, R
Abbott, P
Zheng, Y
Keywords: Knowledge processes;Performance;Global sourcing;IT services;Chinese provider
Issue Date: 2012
Publisher: Elsevier
Citation: Expert Systems with Applications, 39(4), 4464 - 4472, 2012
Abstract: This paper explores the influences of two internal factors, i.e. supplier team’s IT-based skills and communication with client’s team, and two contextual factors, i.e. supplier team’s understanding of client’s culture and collaboration with client’s team, on knowledge processes and performance in global sourcing of IT services from the Chinese provider’s perspective. Knowledge processes are characterized by knowledge sharing, knowledge-based coordination and expertise management, and performance is measured by product success and personal satisfaction. Data have been collected in 13 companies in Xi’an Software Park, with 26 in-depth, semi-structured interviews held with top and middle managers, and 200 structured questionnaires distributed to knowledge workers who are involved in global sourcing projects. The results indicate that supplier team’s IT-based skills, communication with client’s team, cultural understanding of client’s culture and collaboration with client’s team are positively associated with knowledge process and performance. Also, knowledge sharing, knowledge-based coordination and expertise management are found to be crucial for those influential factors to function positively and contribute to the performance. The findings of this study suggest that the effects of key factors on knowledge processes and performance in global sourcing of IT services appear to transcend the social and cultural differences; however, contextual factors seem to have more significant influences on knowledge processes and performance in global sourcing of IT services.
Description: This is the post-print version of the final paper published in Expert Systems with Applications. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2011 Elsevier B.V.
URI: http://bura.brunel.ac.uk/handle/2438/8030
DOI: http://dx.doi.org/10.1016/j.eswa.2011.09.142
ISSN: 0957-4174
Appears in Collections:Publications
Computer Science
Dept of Computer Science Research Papers

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