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Record W3001877261 · doi:10.3390/ijerph17030719

Organizational Downsizing, Work Conditions, and Employee Outcomes: Identifying Targets for Workplace Intervention among Survivors

2020· article· en· W3001877261 on OpenAlexaff
Michael R. Frone, Ann-Renée Blais

Bibliographic record

VenueInternational Journal of Environmental Research and Public Health · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Downsizing and Restructuring
Canadian institutionsDepartment of National Defence
FundersNational Institute on Alcohol Abuse and Alcoholism
KeywordsPsychologySocial psychologyAffect (linguistics)Mental healthEmotional exhaustionAngerAffective events theoryWork engagementJob satisfactionDysfunctional familyJob performanceBurnoutWork (physics)Clinical psychologyJob attitude

Abstract

fetched live from OpenAlex

This study broadly assesses the association of organizational downsizing to work conditions and employee outcomes, and the extent to which work conditions mediate the association of downsizing to employee outcomes, thereby serving as targets for workplace intervention to reduce the harmful effects of downsizing on surviving workers. The cross-sectional data came from a national probability sample of 2297 U.S. workers. A parallel multiple-mediator model with multiple outcomes was estimated, adjusting for personal, occupational, geographic, and temporal covariates. Exposure to downsizing was the predictor. A set of 12 work conditions, representing four dimensions of the work environment, served as simultaneous mediators (Work Role: work demands, role conflict, role ambiguity, and work autonomy; Interpersonal Relationships: supervisor aggression, coworker aggression, friendship formation, and dysfunctional leadership; Rewards: distributive justice and promotion opportunities; Security: job insecurity and employment insecurity). A set of 16 employee consequences, representing five categories of outcomes, served as simultaneous outcomes (Inability to Detach from Work: negative work rumination and inability to unwind after work; Energetic Resource Depletion: physical, mental, and emotional work fatigue; Negative Affect: depression, anxiety, and anger; Positive Affect: happiness, confidence, and vigor; Health: physical and mental health; Work Attitudes: job satisfaction, organizational commitment, and turnover intentions). The results indicated that downsizing had an adverse association with nine of the 12 work conditions (higher levels of work demands, role conflict, supervisor aggression, dysfunctional leadership, job insecurity, and employment insecurity, and lower levels of friendship formation, distributive justice, and promotion opportunities) and all 16 employee outcomes. Moreover, the associations of downsizing to the employee outcomes were indirect, collectively mediated by the nine work conditions. This study provides the broadest evaluation of the deleterious effects of downsizing on U.S. workers surviving a downsizing, identifies affected work conditions that can serve as targets for workplace interventions, and provides insight into why organizational downsizing often fails to deliver anticipated financial and performance benefits to organizations. In terms of serving as targets for workplace intervention, some work conditions meditated the associations of downsizing to a broad set of employee outcomes, whereas other work conditions were specific to certain outcomes. The broad mediators should be targets of any intervention aimed at reducing the adverse effects of downsizing, with additional workplace targets depending on the class of outcomes to be addressed by the intervention.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.328
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 source (direct Gemma or distilled Codex), 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

Citations42
Published2020
Admission routes1
Has abstractyes

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