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Record W1567615848

The Importance of Behavioral Integrity in a Multicultural Workplace

2008· article· en· W1567615848 on OpenAlexfundno aff
Tony Simons, Ray Friedman, Leigh Anne Liu, Judi McLean Parks

Bibliographic record

VenueCornell Peter and Stephanie Nolan School of Hotel Administration (Cornell University) · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsnot available
FundersCollege of Veterinary Medicine, Cornell UniversityKillam Trusts
KeywordsCredibilityPsychologyLoyaltyConsistency (knowledge bases)Social psychologyPerceptionSet (abstract data type)Public relationsApplied psychologyBusinessMarketingPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The notion of “behavioral integrity” describes the extent to which one person perceives that another lives by his or her word, keeps promises, and lives by professed values. Effective management leadership depends on how employees perceive their manager's behavior on these points, because this drives credibility. Since most managers are neither saints nor demons, employees judge their managers’ integrity by interpreting a mixed set of managerial actions and behavior. This study examines how different employee groups might understand and react differently to cues about their manager’s consistency. We surveyed 1,944 employees at 107 hotels and found that the observer’s race affects his or her perceptions of behavioral integrity. African American employees in this study were especially sensitive to violations and affirmations of behavioral integrity. Moreover, African American employees scored their African American managers more harshly than they did their non-African American managers. The study also found that senior managers’ integrity trickles down to affect behavior and attitudes throughout the organization. These results suggest a need for executive training and vigilance focused on the issue of behavioral integrity, because managers’ integrity affects the attitudes, conduct, and loyalty of all employees.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.505

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 communication0.0000.001
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 head0.040
GPT teacher head0.226
Teacher spread0.186 · 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 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

Citations2
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueCornell Peter and Stephanie Nolan School of Hotel Administration (Cornell University)Same topicJob Satisfaction and Organizational BehaviorFrench-language works237,207