Related Experiment Video
Updated: Jul 21, 2026

09:09
Protocol for Assessing the Relative Effects of Environment and Genetics on Antler and Body Growth for a Long-lived Cervid
Published on: August 8, 2017
Relationships between selected human resource management practices and dairy farm performance
1Department of Dairy and Animal Science, Pennsylvania State University, University Park, 16802, USA. RichStup@psu.edu
Journal of Dairy Science
|March 2, 2006
Summary
Human resource management (HRM) practices in dairy farming show mixed results. Continued training positively impacts return on equity, while standard operating procedures for feeding reduce somatic cell count.
Area of Science:
- Agricultural Economics
- Business Management
- Dairy Science
Background:
- Human resource management (HRM) practices are increasingly recognized for their potential impact on business performance.
- Dairy farm businesses face unique challenges in managing their workforce, which can affect productivity and profitability.
- Understanding the link between specific HRM strategies and key performance indicators is crucial for the dairy industry.
Purpose of the Study:
- To investigate the relationships between various human resource management (HRM) practices and the productivity and profitability of dairy farm businesses.
- To analyze the effects of specific HRM practices, including training, job descriptions, standard operating procedures, milk quality incentives, and employment of Spanish-speaking staff, on dairy operations.
- To determine if the adoption of HRM practices is influenced by the current profitability and productivity levels of dairy farms.
Main Methods:
- The study employed a quantitative approach, analyzing data from dairy farm businesses.
- Explanatory variables included the implementation of specific HRM practices (training, job descriptions, SOPs, incentives, hiring practices).
- Dependent variables measured included financial performance (return on assets, return on equity) and productivity/health metrics (rolling herd average, somatic cell count).
Main Results:
- While overall expectations were not met, a significant positive relationship was observed between continued training and return on equity (10.61% for users vs. -62.38% for non-users).
- A significant negative relationship was found between the use of standard operating procedures for feeding and somatic cell count (263,000 for users vs. 214,000 for non-users).
- Profitability and productivity levels did not appear to be primary drivers for dairy producers' decisions regarding the adoption of HRM practices.
Conclusions:
- Specific HRM practices, notably continued training and standardized feeding procedures, demonstrate a tangible impact on dairy farm financial returns and animal health.
- The adoption of beneficial HRM practices may not be directly correlated with a farm's current financial standing, suggesting other influencing factors.
- Further research into the barriers and facilitators of HRM adoption in the dairy sector is warranted to optimize business outcomes.
More Related Videos
Related Concept Videos
Production Efficiency
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
Multiple Regression
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...

