MétaCan
Menu
Back to cohort
Record W2048508021 · doi:10.1057/jit.2008.12

Linking IT Implementation and Acceptance via the Construct of Psychological Ownership of Information Technology

2008· article· en· W2048508021 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

VenueJournal of Information Technology · 2008
Typearticle
Languageen
FieldDecision Sciences
TopicTechnology Adoption and User Behaviour
Canadian institutionsUniversité de MontréalHEC Montréal
FundersCanada Research Chairs
KeywordsConstruct (python library)Technology acceptance modelComputer scienceSoft systems methodologyUsabilityLinkage (software)Information systemKnowledge managementInformation technologyManagement information systemsHuman–computer interaction

Abstract

fetched live from OpenAlex

The present paper proposes psychological ownership of IT (POIT) as a construct that can provide a much needed linkage between the IT implementation and IT acceptance research streams. To assess this idea, a research model was developed where POIT was hypothesized to mediate the influence of user participation on perceived usefulness (PU) and perceived ease of use (PEOU). This model was tested with questionnaire data collected from 91 physicians who were using a newly implemented clinical information system across a network of medical clinics. The results of partial least square analysis of the data indicated that POIT was a significant mediator of the influence of user participation on PU and PEOU, providing strong support for the research model.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.394
Teacher spread0.319 · 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