In the context of Human Capital, which metric could be best normalized?

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Normalization is a crucial aspect in measuring metrics as it allows for better comparisons across different scales or populations. In the context of Human Capital, normalizing metrics helps to understand the performance or safety of a workforce relative to its size or activity level.

The metric "number of accidents per number of truck driver employees" is indeed the best choice for normalization. It presents a way to evaluate safety performance specifically among truck drivers, which is essential when comparing safety records or understanding the incidence of accidents in relation to the workforce size. This approach accounts for varying numbers of drivers employed and gives a clear picture of how well safety measures are working within that specific group.

In contrast, while the other metrics provide valuable information, they do not normalize data to the same extent. For example, "accidents per vehicle produced" could vary greatly based on the size of operation or production volume rather than providing insights specific to worker safety. "Employee turnover rates" offer an important perspective on workforce stability but are not related to safety or incidents like accidents. Lastly, "yearly profit by employee" highlights financial performance without directly addressing human capital issues like safety or turnover, and it does not adjust for the number of those employees in a meaningful way for comparison within a specific segment. Overall,

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