International Journal of Artificial Intelligence Research
Vol 6, No 1.1 (2022)

The Effect of Leadership Style and Organizational Culture on Employee Performance Through Work Motivation as an Intervening Variable at the Business Development Directorate of PT Krakatau Steel (Persero) Tbk Cilegon

Yuni Pratikno (Sekolah Tinggi Manajemen IMMI)
Bambang Nurakhim (Sekolah Tinggi Manajemen IMMI)
Armadhani Jati Prasetya (Sekolah Tinggi Manajemen IMMI)



Article Info

Publish Date
13 Jun 2022

Abstract

This study aims to determine the effect of leadership style and organizational culture on work motivation to improve employee performance at the Directorate of Business Development PT Krakatau Steel (Persero) Tbk Cilegon. The research was conducted using a questionnaire survey method to 60 employees as a sample. This study uses a quantitative approach with a path analysis research design. Data analysis in this study includes validity test, reliability test, normality test, multicollinearity test, heteroscedasticity test, autocorrelation test, and path analysis test. From the results of the study, it can be concluded that leadership style has a direct and significant effect on employee performance, organizational culture has a direct and significant effect on employee performance, leadership style has a direct and significant effect on work motivation, corporate culture has a direct and significant effect on work motivation, work motivation has a direct and significant effect on employee performance, leadership style has a direct and significant effect on employee performance with work motivation as an interverning variable, while organizational culture has a direct and significant effect on employee performance but is not significant through work motivation as an interverning variable.

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Journal Info

Abbrev

IJAIR

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal Of Artificial Intelligence Research (IJAIR) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Artificial intelligent Research which covers four (4) ...