Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 217

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Client/Server System Success: Exploring the Human Side

Open access
Guimaraes, Tor, Igbaria, Magid·1997·Decision Sciences

Abstract

Client/server systems (CSS) are emerging as the new paradigm for systems development, replacing or integrating legacy applications with systems that provide higher quality user interfaces on the client component and substantial user‐transparent data processing capability on one or more servers. Due to the dramatically different CSS development approach and the CSS emphasis on user friendliness, research findings based on non‐CSS should be retested in the CSS context. Using a relatively well‐established theoretical foundation, this study focuses on the human aspects of CSS implementation. Specifically, four major factors important to success with this emerging technology are studied: the degree of end‐user involvement in the CSS development process, end‐user characteristics, developer skills, and management support for the CSS project. The measures of CSS success are end‐user satisfaction with the CSS, system usage, and its impact on end‐users' jobs. The results indicate that the four independent variables explain a significant percentage of the variance in the dependent variables. Based on the results, recommendations are made for the management of CSS implementation and for further research on this important emerging technology.

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 · 10.1111/j.1540-5915.1997.tb01334.x

Cites

5 of 5 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

Show all 5 references

Cited by

See all 217

Metadata

Authors
Guimaraes, T., & Igbaria, M.
Venue
Decision Sciences
Publisher
Wiley
Published
1997-10
Volume
28
Issue
4
Pages
851-876
ISSN
  • 0011-7315 (ISSN-L)
  • 1540-5915
OpenAlex
W1977465274
Cited by
217
References
5
FWCI
12.23
Type
journal article
Language
en
Open access
bronze

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Client/Server System Success: Exploring the Human Side. https://app.cochat.ai/papers/10.1111/j.1540-5915.1997.tb01334.x
The paper
Guimaraes, T., & Igbaria, M. (1997). Client/Server System Success: Exploring the Human Side. Decision Sciences. https://doi.org/10.1111/j.1540-5915.1997.tb01334.x

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.