European Journal of Scientific Research - EuroJournals
European Journal of Scientific Research - EuroJournals
European Journal of Scientific Research - EuroJournals
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433 Cihat Polat<br />
Forecasting Solution: Estimating the competitors’ position and forecasting the time that it takes<br />
to develop and market the products and services that a company produces.<br />
As a further point the integration <strong>of</strong> the R&D and forecasting function can contribute to<br />
creating distinctive competence in R&D area. The forecasting function contributes to determining to<br />
what way to direct the R&D activities.<br />
Information Systems (IS)<br />
Information is a competitive resource that allows companies to function productively [Kim et al. 2003].<br />
A company with a strong information system can exploit information-based competitive advantage in<br />
many <strong>of</strong> the business functions [Hill & Jones, 1992: 139]. A well-developed information system is the<br />
basic infrastructure for forecasting activities from data gathering and collection to forecast evaluation.<br />
It enables company to manage its data sources (from different economical, geographical, and political<br />
regions) easily, to obtain the information required easier, to have the required inputs (e.g. data and<br />
information e.g. for judgemental forecasts) into forecasting system, and to have more accurate<br />
forecasts available. That is why, it plays a crucial role in obtaining healthy and accurate forecasts that<br />
may affect very major operational and strategic decisions as well as strategic information gathering and<br />
processing.<br />
The success <strong>of</strong> strategic decision-making and strategic management closely related to the<br />
existence <strong>of</strong> IS and efficient use <strong>of</strong> IS and IT (Information Technology) in a company, where the<br />
information itself has become a strategic tool. No method can produce higher quality <strong>of</strong> forecasts (e.g.<br />
for market potential and sales) unless there are high quality <strong>of</strong> inputs, data (and information). A better<br />
information system is a pre-condition for collecting and processing (e.g. cleaning) data in improving<br />
the accuracy <strong>of</strong> forecasts. Higher quality <strong>of</strong> data is needed especially for the methods such as timeseries<br />
and regression type methods, where the functional form rests, at large, in the quality <strong>of</strong> historical<br />
data.<br />
The collection, processing, production, distribution and utilisation <strong>of</strong> information all depend on<br />
the availability <strong>of</strong> a well-organised IS, which is at the same time, one <strong>of</strong> the basic requirements <strong>of</strong> a<br />
well functioning forecasting system. In other words, in order for a forecasting system to perform its<br />
basic data gathering, processing, production, and utilisation activities for functional and strategic<br />
decision purposes, a well-working and efficient IS are the basic necessity. Such an IS provides<br />
effective communication within business units and a faster collection and utilisation <strong>of</strong> data. It also<br />
avoids data and information losses based on the time and physical data collection and management<br />
systems and, more importantly, avoids the erosion and losses in the value <strong>of</strong> data with the passage <strong>of</strong><br />
time, which may especially happen to the market data, <strong>of</strong> which value is subject to change or diminish<br />
quickly. Therefore, the IS in a company creates a time advantage <strong>of</strong> data for strategic and functional<br />
management.<br />
In sum, an effective utilisation <strong>of</strong> information resources (gathered or produced) can be utilised<br />
in critical decision situations, and the company can create information-based competitive advantage.<br />
Other<br />
It has already been stated that strategic decisions are mostly <strong>of</strong> higher costs. Location selection is one<br />
<strong>of</strong> the most costly strategic decisions that can fully affect the whole business from many ways (e.g. its<br />
market segment, production costs, marketing activities, and productivity). These types <strong>of</strong> decisions<br />
generally require long decision-making processes, long investigations, and need feasibility works since<br />
once a wrong decision is made and high volume <strong>of</strong> costs are yielded, the decision process is almost<br />
impossible to take it back. Therefore, it is needed that such decisions are fully based on all the<br />
available information, a lot <strong>of</strong> which can be produced by forecasting. For instance, in the determination<br />
<strong>of</strong> a hotel or a warehouse location, or a distribution center location, say, the existence <strong>of</strong> sufficient<br />
demand is crucially important for the investment decision. Forecasting can easily include the factors