Design of a Corporate Training Academy: The Case Study of a Pharmaceutical Company

Pedro Alexandre Marques, Lara Ramos, Bruna Mota

Resultado de pesquisarevisão de pares

Resumo

Aside from being the only resource that cannot be copied because its skills are unique and impossible to replicate, human capital also serves as a facilitator to ensure product quality and compliance. Given the importance of this asset, organizations realize the importance of training. Investing in people’s knowledge and skills through continuous learning are key in driving enterprises do adapt to markets’ challenges with the aimed quality and effectiveness. This paper proposes a good practices model for the design and establishment of a corporate’s academy of a pharmaceutical company. This model, which purpose is to support continuous training in a labor context, was developed attending to a carefully literature review. The framework provided by the model was tested according to the following stages: (1) identification of competencies; (2) course and curriculum architecture; (3) choice of trainers, transmission, and evaluation methods; (4) construction of competence matrices. By implementing the methodology comprising these steps, the size and complexity of the existing training system of pharmaceutical company was reduced. Among other achievements, a learning path of essential training courses to qualify the operational personnel could be defined, contributing to reduce the required time to become autonomous in their job functions. Additionally, a monitoring plan was proposed and validated for the confirmation of the results expected with the full implementation of the academy.

Idioma originalInglês
Título da publicação do anfitriãoIndustrial Engineering and Operations Management - 29th IJCIEOM
EditoresJoão Carlos Gonçalves dos Reis, Francisco Gaudêncio Mendonça Freires, Milton Vieira Junior
EditoraSpringer
Páginas119-135
Número de páginas17
ISBN (impresso)9783031470578
DOIs
Estado da publicaçãoPublicadas - 2023
Evento29th International Joint Conference on Industrial Engineering and Operations Management, IJCIEOM 2023 - Lisbon
Duração: 28 jun. 202330 jun. 2023

Série de publicação

NomeSpringer Proceedings in Mathematics and Statistics
Volume431
ISSN (impresso)2194-1009
ISSN (eletrónico)2194-1017

Conferência

Conferência29th International Joint Conference on Industrial Engineering and Operations Management, IJCIEOM 2023
País/TerritórioPortugal
CidadeLisbon
Período28/06/2330/06/23

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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