Statistical modeling to predict the possibility of failure of a certain system, process or product

Session

Management, Business and Economics

Description

This study has the main objective to understand the factors that influence the behavior of a consumer system. In recent years, tourism has received a significant development, directly affecting economic growth, through the collection of foreign currency and the creation of new jobs, for this reason it was considered reasonable to address it in this paper. Our aim is to highlight the determinants of tourism development, policies and strategies, macroeconomic effects, not leaving aside social effects and tourism marketing as a key point of tourism development. The data were processed in SPSS, by means of EFA, highlighting those factors that act as incentives and others as limitations. From the review of the literature, it was seen that this impact could be measured with different econometric methods. In the case of our country, we will use the VAR (Vector Auto Regressive) method.

Keywords:

Logistic regression, EFA, consumer behavior, VAR model, Granger test.

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-550-50-5

Location

UBT Kampus, Lipjan

Start Date

29-10-2022 12:00 AM

End Date

30-10-2022 12:00 AM

DOI

10.33107/ubt-ic.2022.424

This document is currently not available here.

Share

COinS
 
Oct 29th, 12:00 AM Oct 30th, 12:00 AM

Statistical modeling to predict the possibility of failure of a certain system, process or product

UBT Kampus, Lipjan

This study has the main objective to understand the factors that influence the behavior of a consumer system. In recent years, tourism has received a significant development, directly affecting economic growth, through the collection of foreign currency and the creation of new jobs, for this reason it was considered reasonable to address it in this paper. Our aim is to highlight the determinants of tourism development, policies and strategies, macroeconomic effects, not leaving aside social effects and tourism marketing as a key point of tourism development. The data were processed in SPSS, by means of EFA, highlighting those factors that act as incentives and others as limitations. From the review of the literature, it was seen that this impact could be measured with different econometric methods. In the case of our country, we will use the VAR (Vector Auto Regressive) method.