USE OF DASHBOARDS IN PREDICTING THE DEVELOPMENT OF THE COMPANY USING NEURAL NETWORKS IN HOTEL MANAGEMENT

Clicks: 330
ID: 68772
2018
Free PDF
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Tourism development currently represents a very important part of national economics and its development and growth. To ensure growth, managers are looking for new effective tools to optimize decision making. This paper addresses the issue of dashboards based on neural networks and their utilization in managerial decision-making processes. Dashboard based reporting is oriented towards the tourism sector in Slovakia. The result of the research is the proposed balanced ranking and prediction model using financial and nonfinancial indicators with the application of artificial intelligence which allows to reach high level of efficiency and accuracy in evaluation of financial and nonfinancial health of companies operating in the hospitality sector. The proposed model also brings a new managerial and scientific point of view on the in-depth analysis of performance of these facilities. The main function of the proposed model is to classify health of a hotel. For this purpose, the MLP (Multi-Layer Perceptron) feedforward artificial neural network using backward propagation of errors was chosen as a training method.
Reference Key
gallo2018usegeo Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors GALLO, Peter;jr., Peter GALLO;TIMKOVÁ, Veronika;ŠENKOVÁ, Anna;KARAHUTA, Miroslav;
Journal geo journal of tourism and geosites
Year 2018
DOI
DOI not found
URL
http://gtg.webhost.uoradea.ro/PDF/GTG-2-2018/gtg.22202-289.pdf
Keywords
chemistry Biology (General) Engineering (General). Civil engineering (General) Technology physics environmental sciences geography (general) neurology. diseases of the nervous system business economics as a science electronic computers. computer science hospitality industry. hotels, clubs, restaurants, etc. food service geography. anthropology. recreation information resources (general) chemistry technology physics business restaurants clubs biology (general) engineering (general). civil engineering (general) environmental sciences geography (general) neurology. diseases of the nervous system economics as a science electronic computers. computer science hospitality industry. hotels etc. food service geography. anthropology. recreation information resources (general)

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.