MétaCan
Menu
Back to cohort
Record W2096964374 · doi:10.1287/isre.1070.0122

Information System Use–Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use

2007· article· en· W2096964374 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInformation Systems Research · 2007
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsHEC Montréal
FundersSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsConceptualizationConstruct (python library)Task (project management)Focus (optics)Knowledge managementComputer scienceInformation systemAggregate (composite)Order (exchange)Activity theoryPsychologyData scienceBusinessCognitive scienceEngineeringArtificial intelligence

Abstract

fetched live from OpenAlex

Despite calls for improving current approaches to conceptualizing and measuring the construct of information system use, theoretical advances in this regard are still insufficient. The present paper proposes to expand the focus of existing conceptualizations that exclusively focus on technology interaction behaviors via the construct of IS use-related activity. Based on task-technology fit and activity theory, IS use-related activity is conceptualized as a second-order aggregate construct that comprises both technology interaction behaviors, as well as activities users undertake to adapt the task-technology-individual system. A multiple-indicators and multiple-causes analysis of data collected from 190 users in 21 organizations is found to support the proposed conceptualization.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.004
Science and technology studies0.0010.000
Scholarly communication0.0030.062
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.435
GPT teacher head0.468
Teacher spread0.033 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it