Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 359

The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.

Normalising the “new normal”: Changing tech-driven work practices under pandemic time pressure

Open access
Carroll, Noel, Conboy, Kieran·2020·International Journal of Information Management

Abstract

The COVID-19 pandemic has had massive implications for the nature of work and the role technology plays in the workplace. Organisations have been forced into rapid 'big bang' introduction of technology and 'tech-driven' practices in an unprecedented and time pressured manner. In many cases there has been little training or reflection on how the practices and associated technology should be introduced and integrated or adapted to suit the new workplace context. We argue that there is a need for a more reflective 'normalisation' of work practices and the role technology plays. The paper draws on normalisation process theory (NPT) and its underlying components of cohesion, cognitive participation, collective action and reflexive monitoring. As an exemplar, we focus on the changing nature of work and adoption of remote working practices. The paper uses NPT to examine current thinking and approaches and offering some guidelines to inform research and practice.

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 · 10.1016/j.ijinfomgt.2020.102186

Cites

31 of 31 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 31 references

Cited by

See all 359

Metadata

Authors
Carroll, N., & Conboy, K.
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2020-12
Volume
55
Pages
102186
ISSN
0268-4012 (ISSN-L)
OpenAlex
W3041013132
Cited by
359
References
31
FWCI
89.57
Type
journal article
Language
en
Open access
hybrid

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: Normalising the “new normal”: Changing tech-driven work practices under pandemic time pressure. https://app.cochat.ai/papers/10.1016/j.ijinfomgt.2020.102186
The paper
Carroll, N., & Conboy, K. (2020). Normalising the “new normal”: Changing tech-driven work practices under pandemic time pressure. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2020.102186

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.