When comparing performance (of products, services, entities, etc.), multiple attributes are involved. This paper deals with a way of weighting these attributes when one is seeking an overall score. It presents an objective approach to generating the weights in a scoring formula which avoids personal judgement. The first step is to find the maximum possible score for each assessed entity. These upper bound scores are found using Data Envelopment Analysis. In the second step the weights in the scoring formula are found by regressing the unique DEA scores on the attribute data. Reasons for using least squares and avoiding other distance measures are given. The method is tested on data where the true scores and weights are known. The method enables the construction of an objective scoring formula which has been generated from the data arising from all assessed entities and is, in that sense, democratic.
Streszczenie W artykule przedstawiono główne problemy rozwoju e usług w Polsce. Ponadto na podstawie zebranych danych dokonano oceny zróżnicowania zakresu korzystania z wybranych e usług w województwie podkarpackim. Sprawdzono, które z czynników ekonomicznych i nieekonomicz-nych mają istotny wpływ na korzystanie z e usług. W celu uwypuklenia występujących różnic powiaty województwa podkarpackiego zostały pogrupowane na podstawie syntetycznej miary poziomu rozwoju oraz za pomocą metody środka ciężkości.
EN
The paper presents main problems of e services development of in Poland. Moreover, diversify of the range of selected e services utilization in Podkarpackie was evaluated. It was examined, which the economic and non economic factors have a significant impact on the use of e services. To highlight disparities, Podkarpackie counties were grouped on the basis of synthetic measure of the level of development and by the method of center of gravity.
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