Optimization of the professionals selection and training by artificial intelligence
The investment in training and the improvement in the professional's abilities should anticipate an evolution in the professional's performance, but how could we estimate the probability of performance improvement from a formative action? The present work tries to quantify this using a stu...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Academia Europea de Dirección y Economía de la Empresa
2020-07-01
|
| Series: | Journal of Management and Business Education |
| Subjects: | |
| Online Access: | https://www.nitoku.com/@journal.mbe/jmbe20200009_RaulG |
| _version_ | 1818522699389992960 |
|---|---|
| author | Raúl Gómez-Martínez Ravi Purswani |
| author_facet | Raúl Gómez-Martínez Ravi Purswani |
| author_sort | Raúl Gómez-Martínez |
| collection | DOAJ |
| description | The investment in training and the improvement in the professional's abilities should anticipate an evolution in the professional's performance, but how could we estimate the probability of performance improvement from a formative action? The present work tries to quantify this using a study on 447 surveys carried out by Overlap consultant firm to professionals of the sales force of one of its clients. With this information, an artificial intelligence model has been trained. This model quantifies the relationship between skills and training on the performance of the professional and allows to measure how the probability of a better performance would increase after a training course or improvement capacity. Thus, the artificial intelligence model can be used to define the optimal profile of the professional that should carry out this activity, a profile to seek in the selection processes and in the planning of the company's internal training. |
| first_indexed | 2024-12-11T05:36:33Z |
| format | Article |
| id | doaj.art-ba6f4c8bb5b744b5bb152e2de23ac43f |
| institution | Directory Open Access Journal |
| issn | 2605-1044 |
| language | English |
| last_indexed | 2024-12-11T05:36:33Z |
| publishDate | 2020-07-01 |
| publisher | Academia Europea de Dirección y Economía de la Empresa |
| record_format | Article |
| series | Journal of Management and Business Education |
| spelling | doaj.art-ba6f4c8bb5b744b5bb152e2de23ac43f2022-12-22T01:19:16ZengAcademia Europea de Dirección y Economía de la EmpresaJournal of Management and Business Education2605-10442020-07-0132129144https://doi.org/10.35564/jmbe.2020.0009Optimization of the professionals selection and training by artificial intelligenceRaúl Gómez-Martínez0https://orcid.org/0000-0003-3575-7970Ravi Purswani1Universidad Rey Juan CarlosCTO OverlapThe investment in training and the improvement in the professional's abilities should anticipate an evolution in the professional's performance, but how could we estimate the probability of performance improvement from a formative action? The present work tries to quantify this using a study on 447 surveys carried out by Overlap consultant firm to professionals of the sales force of one of its clients. With this information, an artificial intelligence model has been trained. This model quantifies the relationship between skills and training on the performance of the professional and allows to measure how the probability of a better performance would increase after a training course or improvement capacity. Thus, the artificial intelligence model can be used to define the optimal profile of the professional that should carry out this activity, a profile to seek in the selection processes and in the planning of the company's internal training.https://www.nitoku.com/@journal.mbe/jmbe20200009_RaulGartificial intelligenceprofessional performanceformationprofessional selectioninteligencia artificialdesempeño profesionalformaciónselección de personal |
| spellingShingle | Raúl Gómez-Martínez Ravi Purswani Optimization of the professionals selection and training by artificial intelligence Journal of Management and Business Education artificial intelligence professional performance formation professional selection inteligencia artificial desempeño profesional formación selección de personal |
| title | Optimization of the professionals selection and training by artificial intelligence |
| title_full | Optimization of the professionals selection and training by artificial intelligence |
| title_fullStr | Optimization of the professionals selection and training by artificial intelligence |
| title_full_unstemmed | Optimization of the professionals selection and training by artificial intelligence |
| title_short | Optimization of the professionals selection and training by artificial intelligence |
| title_sort | optimization of the professionals selection and training by artificial intelligence |
| topic | artificial intelligence professional performance formation professional selection inteligencia artificial desempeño profesional formación selección de personal |
| url | https://www.nitoku.com/@journal.mbe/jmbe20200009_RaulG |
| work_keys_str_mv | AT raulgomezmartinez optimizationoftheprofessionalsselectionandtrainingbyartificialintelligence AT ravipurswani optimizationoftheprofessionalsselectionandtrainingbyartificialintelligence |