An Empirical Validation of a Contingency Model for Information Requirements Determination.
Mohamed El Louadi, Dennis F. Galletta, Jeffrey L. Sampler:
An Empirical Validation of a Contingency Model for Information Requirements Determination.
DATA BASE 29(3): 31-51(1998)@article{DBLP:journals/db/LouadiGS98,
author = {Mohamed El Louadi and
Dennis F. Galletta and
Jeffrey L. Sampler},
title = {An Empirical Validation of a Contingency Model for Information
Requirements Determination},
journal = {DATA BASE},
volume = {29},
number = {3},
year = {1998},
pages = {31-51},
ee = {db/journals/db/LouadiGS98.html},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
A contingency model for system development was subjected to several conceptual and operational adjustments and empirical tests. According to the model, there should be a degree of fit
between development project uncertainty and the strategy for determining information requirements, ranging from accepting initial requirements statements to experimenting with prototypes to
discover requirements. This study introduced a new IRD strategy construct that focused on the extent of interaction between users and developers. The study also differentiated between
perceptual and evidential outcomes, between process and product outcomes, and between users' and developers' point of view. The hypotheses predicted that the degree of fit between project
uncertainty and the IRD strategy would account for perceptual and evidential project outcomes from both the user's and developer's point of view. Results indicated that only by relying on the
new extent of interaction construct was support found. From the developers' standpoint, the degree of fit appeared to be related to perceptual assessments of the process and product. From the
user's standpoint, the degree of fit was only related to perceptual assessments of the process. There was no support for the hypothesized impact of fit on evidential outcomes.
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