INFORMATION SECURITY POLICY COMPLIANCE: THE ROLE OF FAIRNESS, COMMITMENT, AND COST BELIEFS
Bibliographic record
Abstract
This research aims to extend our knowledge of the factors that drive an employee to comply with requirements of the Information Security Policy (ISP) of her organization in regards to protecting its information and technology resources.In particular, this paper focuses on the organizational costs associated with an employee's ISP compliance and non-compliance.An employee's organizationbased cost beliefs-perceived organizational cost of compliance and perceived organizational cost of non-compliance-are posited to affect his attitude towards compliance.Furthermore, we discuss two organizational factors-ISP Fairness and Organizational Commitment-as moderators posited to change the strength of the impact of organization-based beliefs on attitude.Based on the regression analysis of data collected from 460 participants, the results show that organization-based employee beliefs significantly affect attitude, and as predicted, the strength of each belief-attitude relationship is affected by ISP fairness and organizational commitment.We also show that the proposed moderator factors have significant main affects on attitude.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".