The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Exploring relationships in information technology outsourcing: the interaction approach
Abstract
Information technology (IT) outsourcing ventures have been termed successful or less successful in achieving their expected outsourcing objectives according to the operational effectiveness of the ensuing client–upplier relationship. Yet researchers and practitioners share no consistent understanding of the actual operational characteristics of these IT outsourcing relationships. The paper bridges this gap by adopting the International Marketing and Purchasing (IMP) group's dyadic ‘interaction Approach’, which delineates carefully the context, parties, interaction and behavioural dimensions of buyer–supplier-type relationships. Applied to outsourcing, this ‘approach’ enables us to shed some light on the crucial dimensions of IT outsourcing relationships. Exploratory research into 12 organisations identifies the potential of the ‘interaction approach’, in providing a comprehensive, consistent, holistic set of constructs to guide analysis. The constructs of ‘interaction’ and ‘atmosphere’ proved particularly useful in providing in-depth insights. However, other interaction constructs of ‘environment’, ‘parties’ and ‘institutionalisation and adaptation’ were limited in their operationalisability. The paper suggests how these can be supplemented, and how IT outsourcing relationships can then be studied over time more satisfactorily. The interaction approach, as applied to the qualitative research data, also helped to identify a number of management issues that warrant careful consideration if IT outsourcing relationship management is to be improved. At the same time, the research identified certain factors in IT outsourcing relationships not captured satisfactorily by the interaction approach, namely the centrality of the contract, the importance of formal processes, and the hidden costs of relationship management. One suggested way forward is to combine interaction, contract and transaction cost perspectives.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Reliability and Validity in Qualitative Research
Kirk, J., & Miller, M. (1986) · doi:10.4135/9781412985659 · Cited by 1,462
Cited by
Cha, K.-J., & Kim, Y. S. (2018) · Enterprise Information Systems · doi:10.1080/17517575.2016.1196734 · Cited by 23
Metadata
- Authors
- Kern, T., & Willcocks, L.
- Venue
- European Journal of Information Systems
- Publisher
- Informa UK Limited
- Published
- 2002-03
- Volume
- 11
- Issue
- 1
- Pages
- 3-19
- ISSN
- 0960-085X (ISSN-L)
- 1476-9344
- OpenAlex
- W2006980358
- Cited by
- 362
- References
- 1
- FWCI
- 30.69
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.