Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 307

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Collaborating on Multiparty Information Systems Development Projects: A Collective Reflection-in-Action View

Open access
Levina, Natalia·2005·Information Systems Research

Abstract

Growth of Web-based applications has drawn a great number of diverse stakeholders and specialists into the information systems development (ISD) practice. Marketing, strategy, and graphic design professionals have joined technical developers, business managers, and users in the development of Web-based applications. Often, these specialists work for different organizations with distinct histories and cultures. A longitudinal, qualitative field study of a Web-based application development project was undertaken to develop an in-depth understanding of the collaborative practices that unfold among diverse professionals on ISD projects. The paper proposes that multiparty collaborative practice can be understood as constituting a “collective reflection-in-action” cycle through which an information systems (IS) design emerges as a result of agents producing, sharing, and reflecting on explicit objects. Depending on their control over the various economic and cultural (intellectual) resources brought to the project and developed on the project, agents influence the design in distinctive ways. They use this control to either “add to,” “ignore,” or “challenge” the work produced by others. Which of these modes of collective reflection-in-action are enacted on the project influences whose expertise will be reflected in the final design. Implications for the study of boundary objects, multiparty collaboration, and organizational learning in contemporary ISD are drawn.

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 · 10.1287/isre.1050.0055

Cites

8 of 8 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 307

Metadata

Authors
Levina, N.
Venue
Information Systems Research
Published
2005-06
Volume
16
Issue
2
Pages
109-130
ISSN
  • 1047-7047 (ISSN-L)
  • 1526-5536
OpenAlex
W2171630108
Cited by
307
References
8
FWCI
42.37
Type
journal article
Language
en
Open access
green

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.