Identifying talent: public organisation with skewed performance scores
| Autor: | Joko Siswanto, Joe Monang, Atya Nur Aisha, Edi Cahyono, Dedi Mulyadi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Organizational Behavior and Human Resource Management
Percentile Operations research Computer science business.industry Process (engineering) media_common.quotation_subject 05 social sciences General Engineering Standard deviation Field (computer science) 0506 political science Identification (information) Talent management Human resource management 0502 economics and business 050602 political science & public administration Business Management and Accounting (miscellaneous) business Function (engineering) 050203 business & management media_common |
| Zdroj: | Journal of Management Development. 40:293-312 |
| ISSN: | 0262-1711 |
| DOI: | 10.1108/jmd-05-2020-0137 |
| Popis: | PurposeThis study aims to draw lessons on how talent identification becomes a critical factor in the field of talent management (TM).Design/methodology/approachA simulation approach with three developed scenarios is used in the paper. The first utilised the standard deviation of skewed performance scores, the second applied the standard deviation of normalised data and the third practised a percentile approach. Concerning the normalisation process of employee performance data, the paper proposed a weighted function to address skewness.FindingsThe results indicate that the process of identifying talent using a nine-grid box is sensitive to changes in the classification criteria used, indicating a bias in identifying talent. In sum, using a standard deviation approach using transformation data is the most appropriate choice for use in performance data with a skewed distribution.Practical implicationsThe Government of West Java Province, Indonesia, can use the simulation results to objectively identify excellent civil servants and develop an appropriate TM strategy. A similar process treatment can be implemented in other organisations that have skew distribution issues.Originality/valueThis paper introduces a weighted function approach to address practical problems in the unsymmetrical distribution of employee performance scores when identifying talent using a TM framework. It shows the application of a unique mathematical technique to solve issues found in the field of human resources management systems. |
| Databáze: | OpenAIRE |
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