Is a structured technique of MCDM for organizing and analyzing complex decisions, based on mathematics and psychology. Individual experts’ experiences are utilized to estimate the relative magnitudes of factors through pair-wise comparisons. Also, AHP enables the evaluation of alternatives with unclear and very subjective criteria. An inconsistency index is calculated for each estimation matrix, which represents how much is expert well filled in the assessment matrix, i.e. how much he respected the principle of transitivity.
Published in Chapter:
Eco-Innovation and IT Technologies for Sustainable Development of Health and Recreational Tourism of Serbia
Gordana Petar Djukic (Faculty of Economics, University of Belgrade, Serbia), Ilic S. Biljana (Faculty of Management, Megatrend University Belgrade, Zajecar, Serbia), and Goran R. Milovanović (Faculty of Economics, The University of Nis, Serbia)
Copyright: © 2022
|Pages: 20
DOI: 10.4018/978-1-7998-8900-7.ch010
Abstract
The aim of the chapter is to point the importance of eco-innovation and IT technologies for the sustainable development of health and recreational tourism in Serbia. The subject of the research is the rehabilitation center in Eastern Serbia. The main idea of the chapter is to show how those hospital institutions use artificial intelligence-IT technologies for improving recovery services to patients in the post-COVID condition. The chapter will discuss the most common types of support and measures to facilitate the functioning of eco-tourism in Serbia with the aim to adopt good practices of developed countries (Hungary). Ecological tourism takes place in areas of pure and preserved nature. The contribution of the chapter is to point to new strategies in spa tourism, to shorten the time and reduce business costs. This would contribute to the sustainability of tourism.