European Journal of Scientific Research - EuroJournals
European Journal of Scientific Research - EuroJournals
European Journal of Scientific Research - EuroJournals
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429 Cihat Polat<br />
show different expense patterns. Also, a firm’s production level is linked closely to its sales output and,<br />
thus, the financial budget is dependent upon the sales forecasts [Johnson et al., 1994: 191].<br />
Besides forecasting sales for established goods, predicting sales <strong>of</strong> a new product has a<br />
particular importance for management from strategic point <strong>of</strong> view. The decisions regarding new<br />
products include many uncertainties in addition to those regarding established products (such as the<br />
environmental factors that may affect the new product and their weights on it, the uncertainties that<br />
may come from pricing decisions made in uncertainty, the resistance that come from competitors, and<br />
the uncertainties about the expected perception <strong>of</strong> customers (see Kelly, 1974: 4-73)). That is why,<br />
forecasting new product sales is <strong>of</strong> particular importance for management when making decisions in<br />
uncertainty before a new product is launched into the market. Given that a success in a particular<br />
product may deeply affect the strategic position <strong>of</strong> a company in a specific market, the importance <strong>of</strong><br />
and the emphasis that should be given to it in order to achieve the desired success by strategic<br />
management can easily be understood. Marketing and forecasting literature have given particular<br />
importance to the subject. For the sake <strong>of</strong> our purpose, two studies are mentioned here as an example<br />
among many. Kelly (1974) discussed the nature <strong>of</strong> prediction problems, the sources <strong>of</strong> information,<br />
and techniques for sales level regarding predicting new products in detail. Hsiao et al. (2002) also<br />
investigated the role <strong>of</strong> stated intentions in new product purchase forecasting and developed various<br />
models to investigate the role <strong>of</strong> intentions and explanatory variables in forecasting purchase. They<br />
found that a weighted average <strong>of</strong> stated intentions together with the explanatory variables included are<br />
powerful indicators <strong>of</strong> future purchase behaviour.<br />
In short, sales forecasts have many uses in variety <strong>of</strong> decision areas such as in (i) setting <strong>of</strong><br />
financial (e.g. capital) and operational (e.g. sales) budgets; and (ii) scheduling <strong>of</strong> purchasing and<br />
production activities and controlling <strong>of</strong> inventories; and (iii) establishing sales projections and sales<br />
quotes, each <strong>of</strong> which has, direct or indirect, strategic implications, at least, at the operational level,<br />
which is where strategic plans are put into action.<br />
Price forecasts are another application area <strong>of</strong> forecasting function. Price forecasts are used<br />
frequently in management decisions about marketing strategy, new investments, budgeting, and raw<br />
material purchasing. Price forecasting practices have a long history, probably due to its strategic value<br />
for management. The more realistic price forecasts are available, the higher the number <strong>of</strong> implications<br />
for management is, including the improved pay <strong>of</strong>f in better decisions regarding marketing strategy,<br />
which is probably the most important one. For instance, “a knowledge <strong>of</strong> pricing trends for various<br />
product lines also suggests the most appropriate balance <strong>of</strong> marketing effort for each product.”<br />
Hegeman (1974) reviewed the price forecasting practices and techniques used. Price forecasts are<br />
mostly based on appropriate demand and supply curves developed for the products <strong>of</strong> concern. In order<br />
to help reduce the risk and uncertainty in management decisions, a variety <strong>of</strong> techniques have been<br />
developed to deal with the problems associated with supply, demand, and prices for most <strong>of</strong> which<br />
products’ supply and demand curves have never been developed (Hegeman, 1974: 4-286). Due to a<br />
large number <strong>of</strong> uncertain factors in the marketplace, price forecasting becomes a rational behaviour in<br />
reducing these uncertainties and price and volume forecasts are required by for all business planning<br />
activities. For instance, improved price forecasting can significantly influence budgeting because the<br />
forecasts <strong>of</strong> future product and raw material prices help in making more accurate sales budgets and<br />
appreciation <strong>of</strong> changing production costs, which leads to important potential for inventory savings<br />
(see Hegeman: 4-294). The forecasts <strong>of</strong> tendencies in prices additionally provide a company to adjust<br />
its investment plans and activities, providing the greatest pay<strong>of</strong>f to company. The problem is, in fact,<br />
rarely whether or nor to forecast, it is whether to forecast systematically or judgemental. In this sense,<br />
forecasting is a natural and essential part <strong>of</strong> strategic marketing management.<br />
Manufacturing<br />
How long time does it take to design and produce a product for a company and how long does it take<br />
for a competitor to imitate and follow such a product in the market? Time plays a critical role,