Survey of 1,202 Banana Industry Workers on Job Satisfaction and Retention Drivers
by Mallika Roy·Updated 2mo ago
5.5 KB1files
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Description
1,202 survey participants across 10 locations in Queensland provide data on socio-demographic and perceptual drivers of labor dynamics in the Australian banana industry. The dataset, authored by Mallika Roy and last updated in April 2026, applies economic psychology to explore how satisfaction, perception, and physical work conditions interact. Analysis includes Q-Q plots and ordinal regression, revealing significant effects of training, ergonomic design, salary equity, growth opportunities, and perceived industry stability.
Use Cases
Modeling job satisfaction drivers based on survey-reported factors like training, ergonomics, and salary equity.
Analyzing labor retention predictors based on variables such as growth opportunities and perceived industry stability.
Studying the intersection of workplace ergonomics and workforce motivation in agricultural settings.
Applying behavioral economics frameworks to survey data on workforce perceptions and aspirations.
Strengths
Survey includes 1,202 participants, providing a substantive sample size.
Data collection spans 10 urban and regional locations in Queensland, offering geographic diversity.
Analysis includes specific statistical results (e.g., beta coefficients, p-values) for key drivers like training (β=0.35) and ergonomics (β=0.29).
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Data is specific to the Australian banana industry; generalizability to other sectors or geographies may be limited.
Provenance
Source
figshare
Collection Method
Survey of banana industry workers.
Time Range
Survey period not specified.
Freshness
Last updated 2026-04-20 17:44:15; freshness should be verified.
Geography
Queensland, Australia.
Dataset is very small (5.5 KB), indicating limited scope, likely containing summary or analysis results rather than raw survey responses.