Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 272

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Investigating Determinants of Software Developers' Intentions to Follow Methodologies

·2003·Journal of Management Information Systems

Abstract

Seeking to improve software development, many organizations attempt to deploy formalized methodologies. This typically entails substantial behavioral change by software developers away from previous informal practices toward conformance with the methodology. Developers' resistance to such change often results in failure to fully deploy and realize the benefits of the methodology. The present research draws upon theories of intention formation and innovation diffusion to advance knowledge about why developers accept or resist following methodologies. Results from a field study within a large organization indicate that developers' intentions are directly influenced by their perceptions of usefulness, social pressure, compatibility, and organizational mandate. This pattern of intention determinants is quite different from that typically observed in studies of information technology tool adoption, revealing several key differences between the domains of tool versus methodology adoption. Specifically, although organizational mandate had a significant effect on intentions, the strength of its direct influence was the lowest among the four significant constructs, and usefulness, compatibility, and social pressure all influenced intentions directly, above and beyond the effects of organizational mandate. The findings suggest, contrary to popular belief, that an organizational mandate is not sufficient to guarantee use of the methodology in a sustained manner.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/07421222.2003.11045751

Cites

6 of 6 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

See all 272

Metadata

Venue
Journal of Management Information Systems
Published
2003-07
Volume
20
Issue
1
Pages
123-151
ISSN
  • 0742-1222 (ISSN-L)
  • 1557-928X
OpenAlex
W1560399420
Cited by
272
References
6
FWCI
24.68
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.