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Convergence of mobile technologies in contemporary organizations

Butryn B., Machura P.

Information Systems in Management

2014

Vol. 3, No. 2

91--101

Mobile technologies have become an indispensible functional element of modern organizations. They provide continuous access to information, regardless of the user’s location and time of connection. The dynamic development of mobile technologies results in gradual overcoming spatial barriers, increased productivity, and new business opportunities. Article identifies the impact of mobile technology on developments inside and outside the organization, presents the key features and benefits of mobile technologies, devices and applications. Paper presents the convergence of mobile technologies, converging solutions and their benefits. Document is enriched with analysis of case studies showing the practical application of this subject.

Wyznaczanie prawdopodobieństwa podjęcia decyzji z użyciem modelu probitowego i logitowego

Butryn B., Fura M.

Badania Operacyjne i Decyzje

2005

nr 2

37-41

Celem artykułu jest prezentacja modeli zmiennych dychotomicznych: logitowego i probilowego oraz zwrócenie uwagi na ich szerokie zastosowanie w różnych dziedzinach nauk. W artykule wykorzystano model regresji probitowej do wyznaczenia prawdopodobieństwa przyjęcia kandydata na Wydział Ekonomii, specjalność Handel i spółdzielczość, Uniwersytetu Rzeszowskiego.

The aim of this article is presentation of logit and probit models and their wide application in many nt science. Logit and probit regression arę used for analyzing the relationship between one or morę ent yariables with categorical dependent yariable. There arę a lot of advantages of logit (probit) fels over linear multiple regression. These methods imply that the dependent yariable is actually the t of a transformation of an underlying yariable, which is not restricted in range. For example, the bit model assumes that the actual underlying depedent yariable is measured in terms of values for curve; if one transforms those values for probabilities then the predictions for the dependent ble will always fali between O ond 1. Thus, we arę actually predicting probabilities from the inde-nt yariables The probit model was used to calculate the probability of admissions in Rzeszów zUniwersity, speciality Handel i spółdzielczość.