SUSTAINABLE DEVELOPMENT – AN ARTIFICIAL INTELLIGENCE APPROACH
Kristina Duvnjak (),
Maja Gregoric () and
Mateja Gorse ()
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Kristina Duvnjak: University or Rijeka, Faculty of Tourism and Hospitality Management, Opatija, Croatia
Maja Gregoric: University of Rijeka, Faculty of Tourism and Hospitality Management, Opatija, Croatia
Mateja Gorse: University or Rijeka, Faculty of Tourism and Hospitality Management, Opatija, Croatia
Management Research and Practice, 2020, vol. 12, issue 4, 18-28
Abstract:
In mid 20s Carson (1963) raised the question of environmental issues in economics as one that should be discussed by practitioners and researchers. From that point, the environmental issues from the analysis of exhaustible and productive resources to its economic role and consequentially its impact, were examined. Environment affects must be considered as human activity-based processes which repercussions effect economy in general. Thus, the long-term decision-making processes in economy must take into account future generations as well. Furthermore, tourism as an economic activity is growing rapidly and one must take into consideration, that it is based on, primarily, natural environment and man-made resources. Degradation of basic tourism resources can lead to decrease of tourism demand. Therefore, the analysis of environmental impact on tourism, and vice versa, the impact of tourism on environment is crucial. With the development of information technology sector, new and innovative methods for analysis and forecasting have emerged such as artificial intelligence. The main hypothesis of this paper is to research how artificial intelligence can contribute to analysis and investigating environmental aspect of tourism. Therefore, the paper provides a theoretical overview of possible fields of artificial intelligence usage in sustainability, in the context of tourism development.
Keywords: artificial intelligence; environment; sustainability; modelling; tourism (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:rom:mrpase:v:12:y:2020:i:4:p:18-28
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