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Record W4387931883 · doi:10.1177/00332941231207956

Has Covid-19 Weakened Workplace Socialization? Associating Outcomes of Excessive Work Time With the Entrepreneurial Behavior of Employees

2023· article· en· W4387931883 on OpenAlexaff
Sana Mumtaz, Tanzeela Aqif

Bibliographic record

VenuePsychological Reports · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsCape Breton University
Fundersnot available
KeywordsStructural equation modelingPsychologySocializationPsychological resilienceSocial psychologyWork (physics)Work behaviorEmpirical researchWork engagement

Abstract

fetched live from OpenAlex

The Covid outbreak and the resulting work processes have led to excessive work pressure requirements for a large majority of the employees due to continuous requirements for adaptation to changing work processes. However, outcomes of new work dynamics on employees' behavioral and attitudinal changes have been insufficiently examined during and after the Covid period. Hence, this empirical research has used the social identity theory to conceptualize and test the relationship between excessive work time and the entrepreneurial behavior of employees. Moreover, the mediating role of socialization tactics and creative self-efficacy, as well as the moderating role of resilience are also examined in the above relationship for unveiling the role of crucial intervening and conditional factors in individualized change experiences. Based on the analysis of data collected from managerial-level employees through the use of structural equation modeling, the empirical results have suggested a negative impact of excessive work time on the entrepreneurial behavior of employees. Also, the intervening role of formal socialization and creative self-efficacy were found to be significant in this relationship, thus suggesting the crucial direct as well as indirect relationships. Using the findings, implications as well as future research directions are discussed towards the end of the article.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.315
Teacher spread0.275 · 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.

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

Citations3
Published2023
Admission routes1
Has abstractyes

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