Privacy enhancing technology adoption and its impact on SMEs’ performance
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.
Bibliographic record
Abstract
As society places greater emphasis on information privacy and data protection, organizations are increasingly adopting Privacy Enhancing Technologies (PETs) to safeguard the personal information of their stakeholders. This trend is fueled by growing consumer awareness and the introduction of government regulations aimed at protecting personal data. By implementing PETs, organizations can ensure compliance with privacy regulations and establish trust with their customers. This study aims to deepen the understanding of the determinants of Privacy Enhancing Technology (PET) adoption in small and medium-sized enterprises (SMEs) and its impact on their performance. It focuses on the technology-organization-environment (TOE) model, managerial readiness, firm size, industry sector, and intent to adopt PETs as potential drivers of PET adoption. By using a large-scale survey of 202 Canadian SMEs, the study evaluates the mediating role of intent in the relationship between the TOE model, managerial readiness, and market performance. The results of this study contribute to the growing body of research on PET adoption in SMEs and provide insights for organizations and managers to effectively adopt PETs. The results of this study indicate that technological, environmental, organizational, and managerial readiness have a positive effect on the intention to adopt PETs. Additionally, the intention to adopt PETs was found to have a positive relationship with firm performance. The findings also reveal that the intention to adopt PETs fully mediates the relationship between the four dimensions of readiness and firm performance. These findings highlight the important role that readiness and intention play in the adoption of PETs and its impact on firm performance. This study also found that firm size moderates the relationship between technological and organizational readiness with intention to adopt PETs, as well as the relationship between environmental and managerial readiness with intention to adopt PETs. The study identified the top five factors affecting PET adoption as cybersecurity awareness, perceived cost of adoption, ease of use, perceived benefits, and IT infrastructure. The findings suggest that technological readiness is the most influential of the four dimensions, followed by organizational, environmental, and managerial factors. This study presents crucial considerations for SMEs to evaluate when deciding on the use of PET technologies, as it pertains to practitioners.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it