@article{Jefta Harlianto_2020, title={CORRELATION ANALYSIS BETWEEN CORE COMPETENCY AND EMPLOYEE PERFORMANCE (CASE STUDY: “XYZ FOUNDATION”)}, volume={18}, url={https://www.archives.palarch.nl/index.php/jae/article/view/2045}, abstractNote={<p>In a competitive globalized world, human resource holds important roles to move the company.<br>To be able to compete with other companies, employees need to have better competency.<br>Competency consists of knowledge, skill, and attitude. These three aspects determine behaviors<br>that will support the employee performance in a company. XYZ Foundation is a foundation<br>that pays big attention to their employee competency development because XYZ Foundation<br>realizes how important employee competency is to achieve vision and mission of the<br>organization. XYZ Foundation wants to know if there is a correlation between competencies<br>that have been set to the employee performance improvement. Researcher collects Core<br>Competency and Key Performance Indicator score from 1075 of XYZ Foundation employees.<br>Based on correlation analysis using Pearson Correlation and Test of Significance, researcher<br>concluded that there is strong correlation (0.959) and significance (0.000) between employee<br>Core Competency and Key Performance Indicator score In addition, there is strong correlation<br>between each component in Core Competency to Key Performance Indicator of the employees:<br>Business Acumen (0.952), Innovation (0.951), Operation Excellence (0.954), Personal<br>Development (0.953), Service Excellence (0.951), with significance of 0.000 for each<br>component, and there are strong correlation and significance between each component in Code<br>Competency with the Core Competency score in XYZ Foundation Employee: Business<br>Acumen (0.993), Innovation (0.991), Operation Excellence (0.993), Personal Development<br>(0.994), Service Excellence (0.993), with level of significance 0.000 for each component.</p>}, number={1}, journal={PalArch’s Journal of Archaeology of Egypt / Egyptology}, author={Jefta Harlianto}, year={2020}, month={Dec.}, pages={379 - 393} }