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Record W2088410632 · doi:10.1109/hicss.2010.312

Quality and Fairness of an Information Security Policy As Antecedents of Employees' Security Engagement in the Workplace: An Empirical Investigation

2010· article· en· W2088410632 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBusinessCLARITYInformation securityCompliance (psychology)Quality (philosophy)Information qualityConsistency (knowledge bases)PsychologyInformation systemComputer scienceComputer securitySocial psychology

Abstract

fetched live from OpenAlex

This paper investigates the impact of the characteristics of information security policy (ISP) on an employee's security compliance in the workplace. Two factors were proposed as the antecedents of employees' security compliance: ISP Fairness and ISP Quality. ISP Quality is comprised of three quality dimensions--Clarity, Completeness, and Consistency. It is shown that ISP fairness has a strong positive effect on an employee's ISP Compliance. In addition, it is found that ISP quality does not only have a strong positive influence on an employee's ISP compliance but also have a strong influence on an employee's perceived ISP fairness. This study contributes to the literature by highlighting the importance of ISP characteristics; namely, ISP quality and ISP fairness as an organizational resource to enhance an organization's information security.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.783
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
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 head0.028
GPT teacher head0.345
Teacher spread0.317 · 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

Quick stats

Citations22
Published2010
Admission routes1
Has abstractyes

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