SHS Web Conf.
Volume 48, 2018ERPA International Congresses on Education 2018 (ERPA 2018)
|Number of page(s)||12|
|Published online||15 August 2018|
Resolving the conundrum of superior performers in organizations with the utilization of competency profiling
School of Education, Faculty of Social Science & Humanities, Universiti Teknologi Malaysia, 81310 Johor, Malaysia
* Corresponding author: email@example.com
Studies have shown that superior performers provide increased productivity, profit and revenue especially for service and business-driven organizations. Undeniably, good people are great for business; however, previous studies provide limited indication on how to identify superior performers from average performers. In this study, the Star-Chef Competency Profile Assessment test was developed to help organizations identify and differentiate superior performers. The instrument helps in identifying and articulating the distinguishing characteristics of people who perform exceptionally well compared to those that do not. The Star-Chef Competency Profile Assessment analyses a person’s fit with six pillars of competency that encompass important competencies required for culinary profession: technical (culinary-specific), non-technical (generic), self-concept, personal quality, physical state and motives. Further, the competency profiling technique utilized the Rasch Measurement Model in identifying the superior performers. Competency profiling assessment was conducted among culinary professionals in Malaysian hotels sector. This is a practical, unique approach in improving organizational talent management practices for employee training and development. Identifying and keeping the superior performers is important in enhancing work performance outcome which eventually will contribute to the organizational effectiveness. This information hones the organization ability to nail down the best employees that could be polished for higher level.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.