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Its worth investing because the results are tangible and positive. A decrease in advertising budget has resulted to reduced sales. With investing 164 million USD in advertising, the company generated 2,454.41 million USD. Putting 140 million dollars for advertising resulted to 2,264.85. This is a significant decrease in revenue or sales generation.
Average investments in advertising would bring an average accumulation of sales. Blue Inc in the last three advertisement budget has ranged between 148 million USD to 164 million USD. This means that the level of sales would remain at the same level if there would be no or little increase in advertising budgets. A decrease in advertising budget from 164 million USD to 140 million USD resulted to a decrease in revenue generation from 2,454.41 million US dollars to 2,264.85 million dollars. Therefore (164-140) = (2454.41-2264.85)
The above is significant for it means that if the competitors were to put massive investments in advertising, they would surpass the sales of Blue Inc. The current trend in advertisement investment is a threat, and the company should consider adding the amount set aside for advertisement.
At current rate of allocation of advertising resources, the company would significantly lose in retail coverage. Decreased levels of advertising would mean that few people would be reached by the message. The competitors would be capitalizing on this, and therefore, if the company is to avoid losing its competitive niche, it has to consider increasing levels of
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ARIMA models can easily be identified through the first order difference of the function Xt = ?Yt = Yt ? Yt?1 where Yt as a constant in the stationery is not stationery as the case with ARMA represented as Xt = ?dYt. The process Yt that is non-static is considered Autoregressive Integrated Moving Average process, ARIMA (p,d,q) (Hamilton, 1994).
The main purpose of applying simulation for any project to is to reduce the risk of the problems that the new system may bring about to the entire project and may bring the entire business to a standstill because the new operation was not tested beforehand.
This has been making the restaurants struggle for their profitability and for their survival. The industry has become more competitive and they need to evolve methods that will help them become more profitable. This research was undertaken to identify whether any of the new media for advertising that has been identified will help the restaurants to reap a better result.
In one of her strategic moves, she formed a team that was responsible for the decision making pertinent to contribution margins and the operating profits of the firm.
The business was given an uphill task for the production of 1 million packs of real mint cookies, and the time given for this was that of a month.
This uncertainty is related with their short and long term future state. This characteristic is disagreeable for the investor while it is also inevitable whenever the stock market is selected as an investment tool.
This study “Testing the
s employees to specific project teams when special projects are contracted and then reassigns them back to the organization once the project is completed (Answers, 2009). The organization that regulates and sets standards for the profession is the Project Management Institute.
A strength of using the TPB to develop interventions is that it has been found to account for large proportions m variance in behavioural intention across a variety of different behaviours and contexts (e.g. Armitage & Conner, 2001), and because of the proposed
lly, there are many variables of operations and decision-making processes to ensure that costs are minimized, available resources are optimized, and maximum efficiency is achieved. Certainly, any course of action may be successful or disastrous to the company. Therefore,
The just-in-time systems form an integral portion of corporate strategies besides emphasizing time-based competition since they completely focus on cutting cycle times. The JIT systems also improve inventory turnover besides increasing labour productivity (Lawrence, 2002).
In the third part we present the most appropriate ARIMA time series model for your data on the basis of ACF and PACF plots, statistical tests on estimated coefficients / parameters, information criteria and appropriate experimentation. Lastly, we estimate the
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