Transformational Leadership Influence, Intrinsic Motivation and Compensation for Employees Performance PT. ABC

Dian Mega Sari, Herry Krisnandi, K. Digdowiseiso, Rosyidah Muhammad
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Abstract

This research investigates the multifaceted influences of transformational leadership, intrinsic motivation, and compensation on employee performance within the context of PT. A B C. Employing a quantitative approach, data was gathered from 125 respondents through the administration of structured questionnaires. The study utilized both descriptive and inferential analyses, incorporating techniques such as linear regression and modeling tests. The findings revealed a positive and significant impact on employee performance, as demonstrated by the regression equation: Employee Performance = 0.317 (Transformational Leadership) + 0.220 (Intrinsic Motivation) + 0.328 (Compensation). The overall model proved to be statistically significant (ANOVA p-value < 0.001). Notably, transformational leadership (p < 0.001) and intrinsic motivation (p = 0.005) exhibited substantial effects on performance, while compensation, although included in the model, did not show a statistically significant impact (p = 0.10000). Based on the results, recommendations are proposed to enhance organizational performance. These include fostering improved communication skills among leaders, addressing intrinsic motivation factors among employees, and reassessing compensation strategies for greater effectiveness. Implementing these recommendations is anticipated to contribute to overall performance enhancement and organizational success.
变革型领导、内在激励和薪酬对员工绩效的影响 PT.ABC
本研究探讨了变革型领导、内在激励和薪酬对 PT 公司员工绩效的多方面影响。研究采用定量方法,通过发放结构化问卷从 125 名受访者处收集数据。研究采用了描述性和推论性分析,并结合了线性回归和建模测试等技术。研究结果表明,线性回归方程对员工绩效产生了积极而重要的影响:员工绩效 = 0.317(变革型领导力)+ 0.220(内在激励)+ 0.328(薪酬)。事实证明,整个模型具有显著的统计学意义(方差分析 p 值小于 0.001)。值得注意的是,变革型领导力(p < 0.001)和内在激励(p = 0.005)对绩效产生了实质性影响,而薪酬虽然包含在模型中,但并没有显示出显著的统计学影响(p = 0.10000)。根据研究结果,提出了提高组织绩效的建议。这些建议包括提高领导者的沟通技巧,解决员工的内在激励因素,以及重新评估薪酬策略以提高效率。预计这些建议的实施将有助于整体绩效的提高和组织的成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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