作者: Adam R. Szromek , Mateusz Naramski
DOI: 10.3390/SU11143935
关键词: Feature (machine learning) 、 Business 、 Tourism 、 Business relations 、 Thematic map 、 Trust level 、 Sustainability 、 Knowledge management 、 Order (business) 、 Key (cryptography)
摘要: The aim of this article was to identify features and attributes tourist facilities that affect trust among them allows estimating the level any given site on a touristic route. can be key feature affects capability create enter complex relations. It is also crucial for planning their future sustainability. Therefore, measuring between plays major role in management inter-organizational authors used statistical methods order influence these kinds facilities. analyzed data comes from research conducted 2017 describes 42 operate within Industrial Monuments Route (IMR)—a Polish route region Silesia. A strong linear correlation found variables described efficiency communication level. Classification Regression Trees (C&RTs) method determine them. Afterwards, obtained multiple regression model allowed route, identifying at same time like efficiency, proximity some institutional similarities have greatest impact sites with regard trust.