Strategies for Lease Volume Enhancement: Study of the Nigeria Lease Market 2001-2011
Bibliographic record
Abstract
The Nigeria lease market given the relatively poor per capita income, but willingness among the high economicpopulation to spend and the growth in the oil gas industry as well as road transportation compared to otherAfrican nations ought to record higher volume of lease transactions. Contrary to expectations, the lease volumehas remained low. It is in doubt if the total lease volume recorded in Nigeria would have generated enough profitto sustain the number of firms that are actively involved in sales-(marketing) of lease services; if these firmswere solely involved in lease businesses. The relatively low volume of lease transactions suggests that themarket capacities are grossly under utilized. This is evidenced as the work compared the situation in Nigeriawith South Africa based on survey research method; with special interest on the marketing principles, strategiesand policies for lease service marketing. Results show that the Nigeria lease marketing activities experienceinefficiency sequel to poor control of administrative and legal costs, low level of customer services among others.Hence lease sales volume is low. Thus strategies for lease volume enhancement as recommendations arediscussed to include: creation of competitive advantage, specialization in lease marketing, customer servicesflexibility, enhanced funding ability among others.
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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 | 0.000 | 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) | 0.006 | 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".