Ordinal Logistic Regression Model for Predicting Employee Satisfaction from Organizational Climate

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...

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書誌詳細
第一著者:	Espinosa-Pinos, Carlos (author)
その他の著者:	Acuña-Mayorga, José (author), Acosta-Pérez, Paúl (author), Lara-Álvarez, Patricio (author)
フォーマット:	article
言語:	eng
出版事項:	2023
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10309093 https://hdl.handle.net/20.500.14809/6144
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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