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
Purpose This study attempts to provide insight into the dynamics of the third party logistics (3PL) industry in the Asia‐Pacific (APAC) region. Design/methodology/approach The data reported in this paper were generated through a survey of the chief executive officer (CEOs) of ten of the largest 3PLs operating in the region. Findings Those companies anticipate substantial regional revenue growth, with nearly one‐quarter of that growth coming from acquisitions. Private equity (PE) investors have been active in the region, and the CEOs are divided as to whether that is a positive or negative development. Price compression, market entrance of foreign 3PLs, and increased pressure to internationalize services were identified as the most important regional market dynamics. Continued growth of intra‐Asian business and possible expansion of transportation services were cited as the most important regional opportunities. A continuing shortage of management talent, the region's regulatory structure, and inferior transportation services were cited as the most significant regional problems. Practical implications The region's growth prospects will promote further investments by 3PLs and PE companies. Regional transportation problems will continue to trouble 3PLs, and they must develop strategies to address shifting manufacturing patterns. The regional “talent shortage” will continue, and while 3PLs have taken steps to improve recruiting, training, and retention, there is little short‐term relief in sight. Regional buyers of 3PL services are becoming more sophisticated, and will likely place even more pressure on prices. Continued cost‐cutting measures and growing customer selectivity are the most likely reactions of 3PLs to that pressure. Originality/value The paper provides insight into the current status and future prospects of the third‐party logistics industry in the APAC region.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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