英语论文网

ile some of them were possible to quantify, others although not quantified were equally important inputs to keep in mind. Apart from the given inaccuracy of data (either high or low levelled) coupled with unstable models and the pertinacity of explaining the future in terms of the past, Godet emphasizes on the lack of a global and qualitative approach concerned with forecasting (Godet, 1982). Although quantitative methods may prove to be reliable enough and reasonably accurate for short term forecasts, the same is not valid for forecasts concerned with longer periods. The greater the distance from the Reference point, the more obvious is the inability of quantitative data to provide valid forecasts (see also 3.1).

In this context, it is critical to comment on the relativity of time scales noted among the study of various phenomena. Hence, what may seem short termed for one phenomenon studied may actually comprise a long period forecast for another that appears to be rapidly changing over time. Any case given, the chances of significant changes regarding the environment in which the phenomenon under study develops are considerably higher as the time horizon becomes longer and it would be more or less naïve to solely depend on forecasting methods like the extrapolation of trends.

Furthermore, the complexity of phenomena studied and the interdependence among the influencing parameters calls for the inclusion of both quantitative and qualitative parameters with Godet clearly addressing the complementarity between the prospective and classical forecasting (Godet, 1982). It was in fact during the first section of this part that the analysis of energy pricing configuration revealed the importance of interaction between quantitative and qualitative parameters. Energy price could not be disengaged from the parallel evolvement of parameters that even though not easily quantified, do structure the phenomenon environment (e.g. political, technological, economic, social, legal and other aspects). What must be outlined here is that similar to the scaling of decision making (strategic-long term, innovative-medium term, operational-short term), the role of quantitative data is gradually fading out as we tend to conceptualize the entire phenomenon environment. Hence the broader the view, again the more obvious is the inability of quantitative data to support a reliable forecasting (see also 2.1).

Although in its extreme point of view, Godet's proposition perfectly fits the ability of diagnosing forthcoming crises. Already extremely difficult to predict a crisis, omitting parameters such as the wishes of relevant actors and other influential factors that cannot be quantified makes it impossible even to sense it. It is in this context that one should not disregard the importance of other forecasting resources -apart from data- including assumptions, insight and judgment, all of them involving the subjectivity factor. If managing to get over the reef of the NIH syndrome, creativity and broad minded thinking are also essential elements for good forecasting.

Question 4

1973 may be granted as the most pivotal year in energy history. The energy crisis defining the period began on October 17, 1973, when the Arab members of 本论文由英语论文网提供整理，提供论文代写，英语论文代写，代写论文，代写英语论文，代写留学生论文，代写英文论文，留学生论文代写相关核心关键词搜索。