Decision Making Quality Based on Voice Behavior and Leadership Emotional Intelligence at the Palembang City Tourism Office
DOI:
https://doi.org/10.31851/jmwe.v23i3.22791Abstract
This study investigates the effect of employees’ voice behavior and leaders’ emotional intelligence on the quality of decision making at the Palembang City Tourism Office. A quantitative research design was adopted through a survey approach. The study involved 77 non-managerial employees as the research population. Since the population was relatively limited, a saturated sampling method was employed, whereby the entire population was selected as the sample. Data were obtained through questionnaires utilizing a Likert scale. Prior to analysis, the research instruments were evaluated through validity and reliability tests. The collected data were subsequently examined using multiple linear regression analysis, the coefficient of determination (R²), the t-test, and the F test. The findings demonstrate that employees’ voice behavior exerts a positive and statistically significant influence on decision making quality, as evidenced by a t-value of 3.708 and a significance level of 0.000, which is below the 0.05 threshold. The results further reveal that leaders’ emotional intelligence significantly and positively contributes to decision making quality, as demonstrated by a t value of 6.207 and a significance level of 0.000, which is lower than 0.05. When examined jointly, employees’ voice behavior and leaders’ emotional intelligence significantly influence the quality of decision-making. This finding is supported by the F test, which produces a significance value of 0.000. Furthermore, the coefficient of determination (R²) of 0.680 indicates that employees’ voice behavior and leaders’ emotional intelligence collectively account for 68.0% of the variation in decision-making quality. The remaining 32.0% may be attributed to other factors that were not included or investigated in this study.
Keywords:
Voice Behavior, Leader Emotional Intelligence, Decision Making Quality
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