IT-enabled sustainable development in electric scooter sharing platforms: focusing on the privacy concerns for traceable information
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
Electric scooter (e-scooter) sharing services have redefined the concept of urban transportation and development for cities around the world. These services, however, have raised concerns regarding information privacy in the wake of allegations that they are used by corporations and even government bodies to collect information. We introduce a new dimension of privacy concerns (i.e., privacy concerns for traceable information: PCTI) and utilize the antecedent-privacy concern-outcome (APCO) macro model to propose a research model for the relationships among privacy experiences and awareness, usage and geographical regularities, PCTI, and information privacy protective responses (IPPR). Our analysis suggests that privacy experiences and privacy awareness remain as salient antecedents and that geographical regularity should be included as a new antecedent for PCTI. This study contributes to the literature on information privacy in the sharing economy and provides implications for both stakeholders of e-scooter platforms and policymakers for urban transportation and IT-enabled development.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| 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