In Scientific Management, how is worker output typically measured?

In Scientific Management, worker output is typically measured through consistent and factual metrics. This approach stems from the principles laid down by Frederick Winslow Taylor, who emphasized the importance of objective data and precise measurements to enhance productivity and efficiency in the workplace. By focusing on quantifiable metrics, management can analyze performance, identify areas for improvement, and establish standards that workers should aim to meet.

Using consistent metrics allows for a more standardized evaluation of output, eliminating biases and subjective interpretations often found in estimates based on personal opinions or intuitive judgments. This reliance on factual data supports the overall goal of Scientific Management, which is to optimize workflow and maximize efficiency through scientific analysis rather than personal subjective assessment or informal peer reviews.