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The Antecedents of Supervisor Bottom-Line Mentality

2024· article· en· W4400440327 on OpenAlexaff
Zhining Wang, Shuang Ren, Yuanmei Qu, Xin Guo, Shaohan Cai

Bibliographic record

VenueAcademy of Management Proceedings · 2024
Typearticle
Languageen
FieldPsychology
TopicPsychological Treatments and Assessments
Canadian institutionsCarleton University
Fundersnot available
KeywordsSupervisorLine (geometry)Top-down and bottom-up designPsychologySocial psychologyBusinessManagementEngineeringEconomicsMathematicsGeometry

Abstract

fetched live from OpenAlex

While prior research has extensively investigated the outcomes of supervisor bottom-line mentality (BLM), there has been relatively limited exploration of its antecedents and the underlying pathways. To address this gap, our study draws on threat rigidity theory to propose that negative performance feedback from top managers triggers supervisors’ perception of job insecurity, subsequently leading them to adopt a BLM approach in their work. Additionally, we hypothesize that a competitive work climate intensifies this mediating process. To test our hypotheses, we collected data from a sample of 161 supervisors and 590 coworkers, and our findings provided support for the proposed hypothesized model. Theoretical and practical implications stemming from our research findings are thoroughly discussed.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.461

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.063
GPT teacher head0.404
Teacher spread0.341 · 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 designTheoretical or conceptual
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

Citations0
Published2024
Admission routes1
Has abstractyes

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