Thinking beyond Privacy Calculus: Investigating Reactions to Customer Surveillance
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 interactive technologies become more pervasive, firms are increasingly conducting customer surveillance—the acquisition, usage, and storage of consumers’ personal data—more covertly and with fewer resources. Privacy calculus—the rational decision to disclose personal data—has dominated the literature to explain rational or calculated reactions to customer surveillance, however, not all reactions can be explained by rational processes. This article advances our understanding of these reactions beyond the privacy calculus concept by proposing attitudes toward customer surveillance. Based on levels of consumer privacy and consumer value concerns, these attitudes are associated with four archetypes—pragmatists, protectionists, capitalists, and apathists. By understanding these attitudes, researchers and managers can gain insight into the diversity of consumers’ concerns regarding both consumer privacy and consumer value in order to better explain observed marketplace behaviors.
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 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 | 0.005 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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