Forecasting (Scenario)Imagine that you are a manager in the ...

[HCHenry]

Forecasting (Scenario)
Imagine that you are a manager in the construction industry in Calgary, Alberta. Calgary has recently been experiencing rapid growth, bringing with it increased demand for construction services and more intense competition. The provincial government has been easing restrictions on public land use and has promoted a business-friendly environment to attract more corporations to the area. Furthermore, the oil business is booming, and there is a severe shortage of housing and worker accommodations in the oil-producing regions. However, you are also aware of how quickly these factors can change and the impact that a change in government or a decline in the price of oil can have on the construction industry. Given these considerations, you try to develop a forecast to help plan your company's future.


You begin to screen large amounts of information to anticipate and interpret changes in the environment. This is a technique called ________.
◦ environmental scanning
◦ competitor analysis
◦ benchmarking
◦ time series analysis
◦ qualitative forecasting

[heyhey123]

A FREE account is required to view all solutions! Click to Register

Login with Facebook Login with Google Login with Email

Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.

Answer Preview

Only 49% of students answer this correctly

[karateprodigy]

Forecasting (Scenario)
Imagine that you are a manager in the construction industry in Calgary, Alberta. Calgary has recently been experiencing rapid growth, bringing with it increased demand for construction services and more intense competition. The provincial government has been easing restrictions on public land use and has promoted a business-friendly environment to attract more corporations to the area. Furthermore, the oil business is booming, and there is a severe shortage of housing and worker accommodations in the oil-producing regions. However, you are also aware of how quickly these factors can change and the impact that a change in government or a decline in the price of oil can have on the construction industry. Given these considerations, you try to develop a forecast to help plan your company's future.


You form a consistent view that oil prices will inevitably rise, and based on this information, you develop several plans to capitalize on the housing demand in the oil industry. You have developed a ________.
◦ time series analysis
◦ quantitative forecast
◦ benchmark
◦ linear program
◦ scenario

[leeeep]

scenario

[Arii_bell]

Forecasting (Scenario)
Imagine that you are a manager in the construction industry in Calgary, Alberta. Calgary has recently been experiencing rapid growth, bringing with it increased demand for construction services and more intense competition. The provincial government has been easing restrictions on public land use and has promoted a business-friendly environment to attract more corporations to the area. Furthermore, the oil business is booming, and there is a severe shortage of housing and worker accommodations in the oil-producing regions. However, you are also aware of how quickly these factors can change and the impact that a change in government or a decline in the price of oil can have on the construction industry. Given these considerations, you try to develop a forecast to help plan your company's future.


You try to predict next year's house sales by analyzing the sales data for the past five years. You have used which forecasting technique?
◦ time series analysis
◦ regression models
◦ economic indicators
◦ substitution effect
◦ jury of opinion

[ansleighelindsey]

time series analysis