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Which of the following metrics would a company most likely evaluate at the end of an operating period?

A) late deliveries
B) market share
C) inventory turnover
D) customer satisfaction
E) product defects

1 Answer

1 vote

Final answer:

A company evaluates metrics like late deliveries, market share, inventory turnover, customer satisfaction, and product defects to assess various aspects of its operations at the end of an operating period. These reflect the firm's delivery efficiency, competitive position, stock management effectiveness, customer loyalty, and quality control, and are often analyzed using statistical models.

Step-by-step explanation:

When a company evaluates its performance at the end of an operating period, it may consider a variety of metrics to assess different aspects of its operations. Metrics such as late deliveries, market share, inventory turnover, customer satisfaction, and product defects may all be important depending on the company's objectives and the industry in which it operates.

For example, late deliveries could be a KPI (key performance indicator) for businesses with a critical need to meet shipment deadlines, such as e-commerce companies. Market share is another significant metric which represents the company's proportion of total sales in relation to the market, indicative of competitive position. Inventory turnover, on the other hand, measures how efficiently a company manages its stock in relation to sales, indicating operational effectiveness and can impact cash flow and cost management. Customer satisfaction gauges the experience and contentment levels of customers, which correlates closely with customer loyalty and repeat business. Lastly, product defects relate to the quality control measures of a company and can have a direct impact on brand reputation and customer trust.

While the exercise questions refer to specific statistical scenarios related to business operations, such as average time between customer arrivals or the probability distribution of event occurrences, they are used to exemplify how businesses might use mathematical models to optimize and evaluate these metrics.

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