When journalists are consumers: examining effects of media service quality on media members' behavioural intention
Bibliographic record
Abstract
Existing service marketing literature has shown the relationship between service quality, satisfaction, and behavioural intentions among sport spectators; however, the media's experience working at these events has largely been neglected. Journalists both report on the sporting event and the destination or host of the event. To reduce the gap in this research area, this study examined how media service quality impacted journalists' satisfaction, which ultimately influences their behavioural intentions in their reporting of the host city or country and their revisit intentions. Through surveying 211 journalists who covered two major international sporting events (the 2018 FIFA World Cup and the 2019 FINA World Aquatics Championships), findings revealed that sport journalists' service satisfaction was determined by the following services: information, interactions with employees/volunteers, and operating time. Also, media professionals' destination image and service satisfaction had positive relationships with their behavioural intentions, word of mouth, and intention to positively cover the event.
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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 | 0.004 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".