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PL
Celem artykułu jest wielokryterialna analiza województw ze względu na wykorzystanie przez przedsiębiorstwa technologii informacyjnych i telekomunikacyjnych (ICT) w 2015 r. W badaniu zastosowano metodę ANP, zaliczaną do metod wielokryterialnego podejmowania decyzji. W pracy uwzględniono ekspercką wiedzę specjalistów ICT zatrudnionych w przedsiębiorstwach biorących udział w badaniu GUS. Na tej podstawie dokonano doboru atrybutów ICT i skonstruowano sieciową strukturę kryterialną. Preferencje w przypadku kryteriów głównych ustalono z uwzględnieniem mocnych i słabych stron województw. W wyniku klasyfikacji metodą k-średnich utworzono grupy województw ze względu na wykorzystanie ICT przez przedsiębiorstwa. Preferencje w przypadku subkryteriów wyznaczono, kierując się zasadą, że najwyższą wagę mają kryteria charakteryzujące najnowsze kierunki rozwoju ICT. Uzyskane wyniki mogą posłużyć do oceny przestrzeni teleinformatycznej oraz stopnia zaangażowania przedsiębiorstw według województw w korzystanie z nowoczesnych technologii.
EN
The aim of the article is a multi-criteria analysis of voivodships with regard to the use of information and communication technologies (ICT) by enterprises in 2015.The ANP method, which is classified as one of multi-criteria decision-making methods, was used in the research. Expert knowledge of ICT specialists employed in enterprises participating in the survey of Statistics Poland was applied. On this basis, ICT attributes were selected and a criterion structure was constructed. In the case of main criteria, preferences were determined considering strengths and weaknesses of voivodships. As a result of the 𝑘-means method classification, groups of voivodships were established due to the use of ICT by enterprises. Preferences in the case of sub-criteria were based on the principle that the criteria characterizing the latest trends of ICT development are of the highest importance. The obtained results can be applied to evaluate the ICT space and the degree of enterprises involvement in modern technologies usage by voivodships.
EN
Academic conferences are platforms established by scientists to provide broad access to their research. For this reason, it is important to have influential researchers presenting plenary talks and for the scientific community in that field to submit their work. Various organizations and academic institutions organize hundreds of academic conferences a year. Academics have to select conferences to attend, since it is not possible to participate in every conference. Conference selection takes into account such factors as: the registration fee, subject of the conference and its appropriateness, conference language and the deadline for submission. We consider the specific criteria that academics use to choose conferences and effective decision-making in this field. In this study, we use an approach based on analytic network processes (ANPs) to appropriately choose a conference based on multiple criteria.
EN
Revenue management (RM) deals with selling the right product to the right customer at the right time at the right price through the right channel to maximize revenue. The innovation of RM lies in the way decisions are made. The performance of revenue management approaches can be evaluated against several criteria. Both discrete and continuous multicriteria models can be used to analyse RM. The performance pyramid is a comprehensive, fully integrated per performance system that captures multiple perspectives such as internal, financial, customer and innovation. The assessment is based on a combination of Analytic Hierarchy Process (AHP), Analytic Network Process (ANP) and Data Envelopment Analysis (DEA) approaches. Customer behaviour modelling is gaining increasing attention in revenue management. Customer choice models can be extended with more inputs and more outputs. Evaluation of alternatives can be performed using DEA based evaluation methods. The search for an efficient frontier in a DEA model can be formulated as a multiobjective linear programming problem. We propose to use an Aspiration Level Oriented Procedure (ALOP) to solve the problem.
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