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Articles analysis

Subject: Consumer Behavior

Paper Model: APA

Paper Type: Article

Total Words: 1828

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Analysis
Summary
Analysis
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Analysis
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Analysis 
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Analysis
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Summary

            In this article, demand of oil in future has been discussed by the writer. He said that oil-manufacturing companies have expected increase in demand of oil in 2016. This increase in demand is due to increase in buying pattern of customers. Existing demand is not meeting their criteria. There is need to increase demand. It was also predicted that in 2015 oil demand would increase. Prediction of percentage in increase was also given in the report. However, there estimation was not accurate. Increase was more than expected in year 2015. This mistake also put companies in trouble. Their production was not according to the demand of customers. (KENT, 2015)

Analysis

            In this article, demand of oil is discussed. It is provided in the article that demand for oil is increasing with the passage of time. It is due to increase in population. This demand is originating more supply. Demand is associated with supply. Increase in demand also increases supply. This is relationship between both of them. In this article, writer also pointed out investigation of demand. He pointed out that estimation of increase in demand was made in 2015. He concluded that this estimation was not accurate. That was a reason of trouble faced by companies in 2015 due to reduction in supply in oil.

            In this article, supply and demand relationship is discussed. When demand increases, it also increase supply of product for meeting expectations or need of customers. In case of not meeting exact supply, it would not be able to meet existing demand. Price elasticity also exists in case of products like oil. In case of not meeting demand, prices increase. It puts customers in trouble. This is the reason of problem faced by companies due to unexpected increase in demand. Unexpected demand of customers cannot be meted quickly.

            It is important for predictors to predict demand of products from previous records and estimation. They should also analyze behavior of customers. Demand of oil prediction also involves more in depth analysis. It is important for agencies to analyze last year situation. Last year was tough due to their wrong estimation. They should focus on realities for estimating demand.

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