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Record W4400137459 · doi:10.1002/job.2818

It's my business! The influence of psychological ownership on entrepreneurial intentions and work performance

2024· article· en· W4400137459 on OpenAlexaff
Alexander B. Hamrick, Sarah Burrows, Jacob A. Waddingham, Craig D. Crossley

Bibliographic record

VenueJournal of Organizational Behavior · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsQueen's University
Fundersnot available
KeywordsFeelingExtant taxonScholarshipPsychologySocial psychologyWork (physics)Self-efficacyPsychological contractStructural equation modelingPublic relationsEconomicsPolitical science

Abstract

fetched live from OpenAlex

Summary Extant scholarship on psychological ownership has primarily focused on the organizational benefits that come from fostering employees' feelings of ownership without having to relinquish ties to actual ownership. It is unclear, however, if feeling like an owner is sufficient to satisfy employees' aspirational ownership intentions. By applying self‐verification theory to psychological ownership theory, we investigate how employees' psychological ownership influences their views about being a competent business owner, and the potential double‐edged implications for organizations as a result of these self‐views. Utilizing two separate studies, we find that psychological ownership is positively associated with entrepreneurial self‐efficacy, which, in turn, is positively associated with both entrepreneurial intentions and work performance. Furthermore, results show that employees' past work performance strengthens the positive relationship between psychological ownership and entrepreneurial self‐efficacy and the positive indirect relationship between psychological ownership and entrepreneurial intentions through entrepreneurial self‐efficacy. We discuss the theoretical and practical implications of fostering psychological ownership with current employees to glean the benefits and negate any potential drawbacks, such as high performers leaving the organization to start their own business.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.278

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.269
Teacher spread0.243 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2024
Admission routes1
Has abstractyes

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