Ordinal Logistic Regression Model for Predicting Employee Satisfaction from Organizational Climate
The article introduces ordinal logistic regression as an alternative method for modelling the relationship between predictor variables and job satisfaction. It emphasizes the importance of comprehending job satisfaction factors to enhance organizational performance. The study employs a quantitative...
محفوظ في:
| المؤلف الرئيسي: | Espinosa-Pinos, Carlos (author) |
|---|---|
| مؤلفون آخرون: | Acuña-Mayorga, José (author), Acosta-Pérez, Paúl (author), Lara-Álvarez, Patricio (author) |
| التنسيق: | article |
| اللغة: | eng |
| منشور في: |
2023
|
| الوصول للمادة أونلاين: | https://ieeexplore.ieee.org/document/10309093 https://hdl.handle.net/20.500.14809/6144 |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Organizational climate and labor satisfaction of university teachers
حسب: García Zapata, Teonila Doria
منشور في: (2016) -
Fourier-based optimization for multivariate spatial-temporal regression model in chlorophyll-a presence prediction around Galápagos Islands
حسب: Chávez-Castrillón, Fernando
منشور في: (2023) -
Main Organizational Factors that Influence Student Satisfaction in Universities
حسب: Palacio-Fierro, Andrés
منشور في: (2017) -
Main Organizational Factors that Influence Student Satisfaction in Universities
حسب: Palacio-Fierro, Andrés
منشور في: (2017) -
Family work enrichment, job satisfaction and organizational commitment in workers of a transport company
حسب: Slavic Contreras, Consuelo
منشور في: (2023)