- Tytuł:
- Utilizing decision trees on employee decision-making processes: a model proposal
- Autorzy:
-
Yüncü, Volkan
Fidan, Üzeyir - Powiązania:
- https://bibliotekanauki.pl/articles/2033057.pdf
- Data publikacji:
- 2021
- Wydawca:
- Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
- Tematy:
-
perceived organizational support
employee silence
decision tree
HRM
postrzegane wsparcie organizacyjne
milczenie pracowników
drzewo decyzyjne - Opis:
- Introduction/background: This paper offers an idiosyncratic relational framework built on the organizational silence theory and the organizational support theory. It exploits the distinct advantages that using decision trees in classification and prediction applications offer to form a unique predictive model. Aim of the paper: This paper argues that a relational framework built on the organizational silence theory and the organizational support theory can give important clues about how employees make certain decisions in the workplace as well as about factors that have an impact on their decision-making processes. Materials and methods: The research applies decision trees learning – a data mining technique – to unfold the hidden patterns and unprecedented relationships between the two constructs that until now had not been revealed. Results and conclusions: The suggested model, which consists of rules, exhibits the effects of perceived organizational support and employee silence behavior on employee decisions with an approximately 79% correct classification rate, showing the success of the model as well as its appropriate relational framework. The presented findings indicate that a relational framework built on the organizational silence theory and the organizational support theory has a lot to offer in terms of building effective HR strategies and policies. The study also extends the understanding of the antecedents of silence behavior in different social contexts.
- Źródło:
-
Organizacja i Zarządzanie : kwartalnik naukowy; 2020, nr 3; 137-152
1899-6116 - Pojawia się w:
- Organizacja i Zarządzanie : kwartalnik naukowy
- Dostawca treści:
- Biblioteka Nauki
Artykuł