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Record W4312170684 · doi:10.37284/eajbe.5.2.1024

Influence of Financial Incentives on Employee Performance in Ferry Service, Mombasa County

2022· article· en· W4312170684 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEast African Journal of Business and Economics · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsnot available
Fundersnot available
KeywordsSalaryIncentiveDescriptive statisticsStratified samplingPopulationQuarter (Canadian coin)Service (business)Sample (material)BusinessStandard deviationStatisticsMarketingMathematicsEconomicsGeographySociologyDemography

Abstract

fetched live from OpenAlex

The main purpose of the study was to assess the influence of financial incentives on employee performance in Ferry Service, Mombasa. The study employed goal theory, Herzberg theory and self-efficacy theory. The study employed a descriptive survey study design. The study was carried out at Ferry Service, Mombasa with a population of 268 employees. Stratified random sampling with the non-proportionate allocation of sample sizes was used to draw samples from the target population. The researcher used questionnaires to collect data from the respondents. The data that was collected was organised, tabulated and analysed using descriptive statistics. Statistical Package for Social Science (SPSS) Version 26.0 was used to assist in data analysis. The analysed data was presented in tables and figures, percentages and frequencies. The study found that financial incentives were administered by the organisation to which salary and fringe benefits highly influence employee performance the most while bonus was found to be the least since not all employees were benefiting from the incentive except a few employees who represent a quarter of the total employees. The respondents highly agreed that the employees are required to be aware of the fringe benefits offered by the organisation to enhance their performance which was represented by a mean of 1.60 and a standard deviation of 0.769; other respondents agreed that every organisation provides total rewards packages to the employees in addition to the basic pay represented by a mean of 1.97 and a standard deviation of 1.09 while others agreed that some benefits are given to the employees to attract and retain them and to avoid absenteeism from work which was represented by a mean of 2.14 and standard deviation of 1.158. The study concludes that financial incentives provide a big role in influencing employee performance in the organisation. The study recommends that financial incentives given to employees should be emphasised and increased to influence employees to work more and provide what is best for them. The organisation should provide financial incentives to its employees in a fair manner without discrimination. Incentives are there to motivate employees to work more and more and not to discomfort them.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score0.337

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.222
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it