Please use this identifier to cite or link to this item: https://doi.org/10.1108/02635570710723831
Title: Resource-based approach to IT shared services in a manufacturing firm
Authors: Goh, M. 
Prakash, S.
Yeo, R.
Keywords: Case studies
Information technology-led strategy
Resource management
Issue Date: 2007
Source: Goh, M., Prakash, S., Yeo, R. (2007). Resource-based approach to IT shared services in a manufacturing firm. Industrial Management and Data Systems 107 (2) : 251-270. ScholarBank@NUS Repository. https://doi.org/10.1108/02635570710723831
Abstract: Purpose - Driven by cost reduction and improved quality of service, some firms have adopted shared services as a governance model to manage their staff functions. This paper seeks to explore this behavior using the resource-based view. Design/methodology/approach - The case of an information technology (IT) unit of a multinational manufacturing firm is presented to provide insight into the issues involved when adopting and migrating an IT resource system to a shared services model. The analysis is extended using conceptual models of the relevant sub-systems developed through the soft systems methodology (SSM), using a set of root level definitions that are intended to express the transformation to a shared services model. Findings - The results suggest that the major changes involved when transitioning to shared services are process and communication related. Aligning the team members and gaining their commitment are necessary for success. Practical implications - The case analysis and SSM models provide some insight into the important issues to be considered when moving to a shared services model. Originality/value - With the growing practice of shared services, it is important to understand how a shared services model fits successfully into the overall business strategy of the firm. This study will spawn further research into the evaluation and control techniques for the different types of IT capabilities under a shared services model. © Emerald Group Publishing Limited.
Source Title: Industrial Management and Data Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/43997
ISSN: 02635577
DOI: 10.1108/02635570710723831
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

27
checked on Dec 7, 2017

WEB OF SCIENCETM
Citations

18
checked on Nov 22, 2017

Page view(s)

55
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.