The Perceived Impact of <i>Journal of Information Systems</i> on Promotion and Tenure
Bibliographic record
Abstract
ABSTRACT During the promotion and tenure process, most institutions evaluate whether the candidate has published in high-quality research journals. This study examines the perceived impact of the Journal of Information Systems (JIS) on the promotion and tenure process. The research surveys 149 accounting information systems professors and 36 accounting department leaders. Results suggest that 62 percent of respondents indicated the JIS was very impactful on the promotion and tenure process, while 34 percent perceived the journal to play only a supportive role to higher-ranked journals. Further, senior scholars hold a higher perception of JIS's impact, while those who have served as external reviewers for promotion and tenure committees hold lower perceptions. Finally, results indicate a negative association between perceived promotion and tenure impact and whether the respondent is from a private institution, a larger-sized institution, and if the institution offers a doctoral program. Data Availability: All data used in this study are available upon request. The survey may be found in the online resources.
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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 | 0.009 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".