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Record W2092968834 · doi:10.1108/02683940710721910

Why don't I trust you now? An attributional approach to erosion of trust

2007· article· en· W2092968834 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 · 2007
Typearticle
Languageen
FieldPsychology
TopicForgiveness and Related Behaviors
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDistrustAttributionPsychologySocial psychologyPerspective (graphical)

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine the effects of the trustor's responsibility‐attributions for a trust violation and the trustee's frequency of prior violations on the subsequent erosion of trust in the relationship. Design/methodology/approach Data were collected from 120 middle‐senior level managers using a two‐part scenario‐based experimental design to test the impact of attributions and frequency of violations. Respondents' levels of trust and distrust were measured pre‐ and post‐violation as well as forgiving and a range of demographic variables. Findings Results showed that trust eroded (and distrust increased) more when trustors perceived the trustees as not wanting to fulfill the trust‐expectations than when they could not do so. Further, trustors were willing to tolerate a maximum of two violations before trust in the relationship eroded significantly. The results also showed that trustors who were relatively more forgiving were less likely to lose trust in the trustee after a violation, as were younger and less experienced individuals. Research limitations/implications Although scenario‐based experiments assess the cognitive states of the respondents rather than actual behaviors, they serve as a valuable first step. By highlighting the two‐step sequence that may underlie the trust erosion process and emphasizing the importance of using an attributional perspective, the paper invites future research on a range of factors such as patterns of violation, degrees of damage, etc. Collectively, they ought to lead to an integrated model of trust erosion. Practical implications For practicing managers, the results underscore the importance of maintaining trust by constantly meeting expectations. While they may be forgiven for one‐time mistakes in maintaining trust, they cannot be repeated without severely damaging the trust in the relationship. Also, employees need to be convinced that the erring manager or colleague has done his/her very best to prevent the violation. Originality/value This paper addresses an under‐investigated facet of trust research in organizations – erosion of trust – which is especially crucial in light of the growing awareness that most organizational relationships actually start off with high levels of trust rather than low trust. Thus, this study offers insights into maintaining (as opposed to building) trust.

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)0.002
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.718
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.037
GPT teacher head0.353
Teacher spread0.316 · 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