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 Why are some libraries more market‐oriented than others? The purpose of this paper is to answer this question by examining the pertinent issues underlying the inter‐relationship between market‐orientation and superior service performance. Design/methodology/approach An integrated methodological approach of qualitative as well as quantitative methods was used to gain knowledge behind the market‐orientation – service performance relationship. The directors and consumers of 33 academic and special libraries participated as respondents in this study. Findings In total, three kinds of libraries were found: the strong; the medium; and the weak. The findings show that the higher market‐orientation is positively connected with the libraries’ superior service performance. Research limitations/implications The implication of this research does suggest that the gap between the service provider and receiver can be closed by increasing the marketing competence of service provider. Practical implications The practical implication for libraries is that it pays to be market‐oriented, the ultimate result being higher customer satisfaction. Originality/value The relationship between market‐orientation and service performance has yet to be explored and established in the library world. This is one of the first such studies which attempted to investigate this inter‐relationship.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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