Client and consultant engagement in public sector IS projects
Elizabeth J. Hartnett,
Elizabeth M. Daniel and
Richard Holti
International Journal of Information Management, 2012, vol. 32, issue 4, 307-317
Abstract:
Engagement between clients and consultants has been identified as important in public sector IT projects. However, current literature is not clear what constitutes engagement, and how this is related to other concepts such as cooperation and collaboration. This study proposes a model of engagement based on a range of related extant literature. Five case studies of IT projects in the public sector in the UK are analysed in order to empirically validate and extend the proposed model. The validated model suggests that engagement can be understood as three conditions (environment, participants, expertise) and three behaviours (sharing, sense-making and adapting) that dynamically interact in self-reinforcing cycles. The model represents a starting point for academics interested in the future development of a theory of engagement and is of value to practising managers and consultants in either a diagnostic or prescriptive mode to increase the effectiveness of their joint IT endeavours.
Keywords: Engagement; Consultants; IT projects; Public sector; UK (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0268401212000680
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ininma:v:32:y:2012:i:4:p:307-317
DOI: 10.1016/j.ijinfomgt.2012.05.005
Access Statistics for this article
International Journal of Information Management is currently edited by Yogesh K. Dwivedi
More articles in International Journal of Information Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().