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
Recommended Citation
Kushta, Elmira; Ramosaco, Miftar; and Sinaj, Zamira, "Statistical modeling to predict the possibility of failure of a certain system, process or product" (2022). UBT International Conference. 439.
https://knowledgecenter.ubt-uni.net/conference/2022/all-events/439
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.