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Record W2890200907

A Stress-Strain-Outcome Model of Job Satisfaction: The Moderating Role of Professional Self-efficacy

2018· article· en· W2890200907 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.

Bibliographic record

VenueAmericas Conference on Information Systems · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsLakehead University
Fundersnot available
KeywordsModerationJob satisfactionPsychologyEmotional exhaustionCoping (psychology)Work (physics)Self-efficacySocial psychologyBurnoutSurvey data collectionApplied psychologyClinical psychology
DOInot available

Abstract

fetched live from OpenAlex

In this study, we adopt a stress-strain-outcome framework and conceptualize work overload as a stress, work exhaustion as a strain, and job satisfaction as an outcome. We argue that professional self-efficacy is a coping mechanism, place it as a moderator, and hypothesize that it would attenuate the effects of 1) work overload on work exhaustion and 2) work exhaustion on job satisfaction. We test the model by using survey data collected from 144 IT professionals in Finland by means of the Partial Least Squares technique. The findings suggest that work overload has a significant positive effect on work exhaustion, work exhaustion has a significant negative effect on job satisfaction, and professional self-efficacy attenuates both of these relationships. These findings imply that managers need to keep in mind the possible risks from work overload and exhaustion. Furthermore, they should try to improve their employees’ professional self-efficacy to mitigate these risks.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.618
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.036
GPT teacher head0.282
Teacher spread0.246 · 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