The Impact of Information Technology on Identity: Framing the Research Agenda
Bibliographic record
Abstract
With the increasingly pervasive use of information technology (IT) in organizations, identity has become a pressing contemporary issue with wide-ranging implications for research and practice. Interestingly, no rigorous effort has yet been made to assess how IS researchers have studied the impact of IT on identity. In this research we are interested in filling this gap. We identified and analyzed 25 Information Systems (IS) empirical articles that adopted an identity frame and were published in 30 leading IS journals between 1997 and 2007. Based on this analysis, we assert that IS researchers have still insufficiently explored the ITidentity linkage. In this paper, we suggest that the identity frame should be brought into the mainstream of the IS discipline. We believe it offers great theoretical promise and provides a fruitful avenue for interesting empirical analyses that should yield a better understanding of the social transformation induced by IT and possibly improve individual and organizational lives.
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.
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 | 0.035 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.015 | 0.015 |
| Science and technology studies | 0.011 | 0.066 |
| Scholarly communication | 0.025 | 0.046 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".