Answer:
Environmental responsibility is essential for companies to remain competitive in the long term, as society increasingly demands that organizations be agents of change in society and contribute to its development.
Therefore, there are several methods for an organization to be environmentally responsible, planning is necessary for the company to understand its micro and macro environment and how to contribute to the reduction of environmental impacts. Through environmental management, a company is able to plan actions that make it more sustainable, it is therefore necessary to use questionnaires, interviews, observation and reports, so that the actions developed are aligned with the environmental purposes of the company and the community where it operates.
Environmental management helps companies achieve total quality, as it reduces waste, improves job satisfaction, creates value for stakeholders and makes the company more positioned in the market.
Answer:
The demand curve will shift to the left (reduce)
Explanation:
Shift in demand results from change in other factors affecting demand except for price.
There are wide-spread reports of contacting mad cow disease by consuming beef from Canada. This will result in a general decrease in the quantity of beef demanded (shift in demand to the left). At all prices there will be less demand for Canadian beef.
This is illustrated in the attached diagram.
The influencer is paid to post the product
Answer:
Forecasted sales
Explanation:
In the production process amount of inventory purchased for producing goods must be carefully calculated.
This avoids waste incurred from buying excess of materials needed for operation. Also when there is shortage of materials time and resources are wasted getting more materials.
So when calculating material requirements for finished products it is important that we consider sales forecasts.
Materials purchased based on this will just adequately meet the demand for product.
This reduce cost of storage of excess materials.
Answer:
Predictive models
Explanation:
Predictive modeling uses statistics to predict outcomes. It can be applied to any type of unknown event, regardless of when it occurred.
