The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The Effect of Coordination and Uncertainty on Software Project Performance: Residual Performance Risk as an Intervening Variable
Abstract
In this research, a study of the effects of coordination mechanisms and risk drivers such as project uncertainty on the performance of software development projects was conducted. Two types of coordination mechanisms were considered: vertical and horizontal. The former refers to the extent to which coordination between users and IS staff is undertaken by authorized entities such as project managers or steering committees. The latter refers to the extent to which coordination is undertaken through mutual adjustments and communications between users and IS staff. A new research model was developed by synthesizing research using the structural contingency perspective from Organization Theory and the risk-based perspective in Software Engineering. The model suggests that residual performance risk, i.e., the difficulty in estimating performance-related outcomes during the later stages of the project, can clarify the relationship between project uncertainty, coordination mechanisms and performance. Eight hypotheses were derived from the model for empirical testing. Data were collected from 64 software development projects in the banking and other industries. The results provide considerable support for a revised research model. As expected, project uncertainty increases residual performance risk. Both in turn have a direct negative effect on performance. Vertical coordination significantly reduces both project uncertainty and residual performance risk. However, horizontal coordination does not have any significant effect on residual performance risk. Instead, it has a direct positive effect on project performance. Moreover, higher levels of both vertical and horizontal coordination lead to higher levels of overall performance. Their differential impacts on residual performance risk are interesting areas of future research.
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Structural equation modeling in practice: A review and recommended two-step approach
Anderson, J. C., & Gerbing, D. W. (1988) · Psychological Bulletin · doi:10.1037/0033-2909.103.3.411 · Cited by 41,941
The interdisciplinary study of coordination
Malone, T. W., & Crowston, K. (1994) · ACM Computing Surveys · doi:10.1145/174666.174668 · Cited by 3,504
Tightening the Iron Cage: Concertive Control in Self-Managing Teams
Barker, J. R. (1993) · Administrative Science Quarterly · doi:10.2307/2393374 · Cited by 2,305
Determinants of Coordination Modes within Organizations
Ven, A. H. V. D., Delbecq, A. L., & Koenig, R. (1976) · American Sociological Review · doi:10.2307/2094477 · Cited by 1,979
An Assessment of the Contingency Theory of Management Information Systems
Weill, P., & Olson, M. H. (1989) · Journal of Management Information Systems · doi:10.1080/07421222.1989.11517849 · Cited by 351
Cited by
Coordinating Expertise in Software Development Teams
Faraj, S., & Sproull, L. (2000) · Management Science · doi:10.1287/mnsc.46.12.1554.12072 · Cited by 1,689
Rai, A., Maruping, L. M., & Venkatesh, V. (2009) · MIS Quarterly · doi:10.2307/20650313 · Cited by 311
A trust-risk perspective on social commerce use: an examination of the biasing role of habit
Farivar, S., Turel, O., & Yuan, Y. (2017) · Internet Research · doi:10.1108/intr-06-2016-0175 · Cited by 169
The sensemaking-coevolution-implementation theory of software design
Ralph, P. (2015) · Science of Computer Programming · doi:10.1016/j.scico.2014.11.007 · Cited by 60
Users as knowledge co-producers in the information system development project
Hsu, J. S.-C., Lin, T.-C., Zheng, G.-T., & Hung, Y.-W. (2012) · International Journal of Project Management · doi:10.1016/j.ijproman.2011.05.008 · Cited by 34
Metadata
- Authors
- Nidumolu, S.
- Venue
- Information Systems Research
- Published
- 1995-09
- Volume
- 6
- Issue
- 3
- Pages
- 191-219
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2024786583
- Cited by
- 555
- References
- 5
- FWCI
- 11.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- Nidumolu, S. (1995). The Effect of Coordination and Uncertainty on Software Project Performance: Residual Performance Risk as an Intervening Variable. Information Systems Research. https://doi.org/10.1287/isre.6.3.191
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