The Impact of Sales Promotions on Sales Turnover in Airlines Industry in Nigeria
Bibliographic record
Abstract
<p>This study seeks to determine the impact of sales promotions on sales turnover in the airlines industry in Nigeria. Ex post facto and survey research design were adopted. Secondary data on average monthly passenger turnover covering a period of 25 years (1991-2015) were collected from the records of airport authority. A questionnaire was also administered to 450 air travellers to ascertain the extent to which sales promotions incentives stimulate them to travel by air within Nigeria. Frequency analysis, regression and t-Test methods of analysis were applied. The results show that sales promotions incentives significantly impacted sales turnover in the airlines industry; and air travellers prefer non-monetary sales promotional offers and off-line incentives to monetary and online offers. The study, therefore, recommends that the management of the airlines need to be more innovative in making promotion offers to air travellers so as to optimize the opportunity. Non-monetary and offline incentives offerings should be emphasized to meet the preference of air travellers. For future research, the study suggests that the focus can be on identifying other salient factors that motivate passengers to travel by air so as to boost industry sales.</p>
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How this classification was reachedexpand
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 | 0.002 | 0.002 |
| 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".