Survey of 1,202 Banana Industry Workers in Queensland on Job Satisfaction and Retention

Mallika Roy's 2026 dataset contains survey responses from 1,202 participants across 10 urban and regional locations in Queensland, Australia. The data applies Economic Psychology and behavioral economics to examine socio-demographic and perceptual drivers affecting labor dynamics in the banana industry. It includes results from ordinal regression analysis on factors like training, ergonomics, and salary equity.

Use Cases

• Modeling job satisfaction drivers based on survey-reported factors like training, ergonomic design, and salary equity.
• Predicting employee retention likelihood based on described variables such as growth opportunities and perceived industry stability.
• Analyzing the interaction between physical work conditions and perceptual biases mentioned in the study description.

Strengths

• Dataset is based on a substantial survey of 1,202 participants.
• Analysis includes statistically significant results (e.g., β=0.35, p<0.01) for key drivers like training.
• Data has a clear geographic focus on 10 locations in Queensland, Australia.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small at 9.5 KB, indicating limited scope or highly summarized data.

Provenance

Source

figshare, author Mallika Roy

Collection Method

Survey of banana industry workers.

Time Range

Survey date unknown; dataset published in 2026.

Freshness

Last updated 2026-04-20 17:44:13; freshness should be verified.

Geography

10 urban and regional locations in Queensland, Australia.