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Record W2078268093 · doi:10.1108/02683940610659551

Ingratiation in job applications: impact on selection decisions

2006· article· en· W2078268093 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

VenueJournal of Managerial Psychology · 2006
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEmployer Branding and e-HRM
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyImpression managementPersonnel selectionSocial psychologyApplied psychologyContext (archaeology)Selection (genetic algorithm)Job performanceJob analysisOrder (exchange)Job satisfactionManagementComputer science

Abstract

fetched live from OpenAlex

Purpose The purpose of present study is to examine the influence of impression management (IM) tactics (e.g. ingratiation) applied in job application letters on perceived qualifications and hiring recommendations. The study aims to build on recent research done in the interview context, by studying IM specifically in the written form pertaining to a job application. Design/methodology/approach Data were gathered from 94 respondents asked to evaluate the job application letters of applicants for a mentoring program. IM was manipulated through the cover letter, such that, each subject received five cover letters, four of which engaged in ingratiation and one that had no ingratiation. Participants were required to evaluate the applicants' qualifications and make selection decisions. Findings The results of the study were consistent with those of the interview context. More specifically, ingratiation led to significantly higher ratings of applicants, and self‐focused tactics were more effective than other‐focused tactics. Research limitations/implications The findings of this research conveyed that most of the IM tactics significantly improve recruiters' evaluations of the applicants. Still, future research needs to further investigate this relationship in order to understand the specific nature of the IM tactics and develop a deeper understanding of the underlying processes that cause IM tactics to have an impact on recruiters' judgments. Practical implications The present study highlights the need for greater understanding of how IM tactics may influence the decisions of employers who rely on written applications, or a combination of job application letters and interviews. Therefore, employers need to be aware of the use of IM in written applications and emphasize the importance of interviews in the selection process. Originality/value Existing research has been concerned with how IM tactics influence interview outcomes and has overlooked how these same IM tactics may be used in job application letters to influence selection decisions. This study addresses this gap by focusing on the job application letter as a means of conveying and managing impressions by candidates.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.320
Teacher spread0.297 · 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