Generated: 29 May 2026, 20:41 IST Session ID: 46 Total Papers Analyzed: 5 Themes Identified: 0
This report presents the findings of a systematic thematic analysis conducted on a corpus of 5 academic papers. Using SPECTRE2 embeddings and DBSCAN clustering, the analysis identified 0 distinct thematic clusters.
| Methodology Type | Count | Percentage |
|---|---|---|
| Literature Review/Survey | 4 | 80.0% |
| Empirical Research | 1 | 20.0% |
| # | Theme | Papers | Cohesion Score | Keywords |
|---|---|---|---|---|
Note: 5 paper(s) were classified as noise/emerging topics and did not fit cleanly into any established theme.
No significant research gaps detected in this corpus.
| # | Title | Theme | Type | Citations |
|---|---|---|---|---|
| 1 | Diving into the uncertainties of open innovation: A systematic review | Knowledge arbitrage risks | Literature Review/Survey | 0 |
| 2 | Meaning-Oriented Consumption: A systematic review and research agenda | Knowledge arbitrage risks | Literature Review/Survey | 0 |
| 3 | Navigating the challenges of fake news and media trust: a bibliometric | Knowledge arbitrage risks | Literature Review/Survey | 0 |
| 4 | Strategic and Serendipitous Knowledge Arbitrage: What We Know and What | Knowledge arbitrage risks | Literature Review/Survey | 0 |
| 5 | Knowledge arbitrage: what are the risks, and do they matter? | Knowledge arbitrage risks | Empirical Research | 0 |
Report generated by SPJIMR Corpus Analysis Pipeline — 2026-05-29 20:41