A Bayesian Best and Worth Method-Based Methodology to Select the Best Growth Strategy for SMES
[EN] The small and medium-sized enterprises (SMEs) are the main driver of employment, those that contribute greater economic growth in gross domestic product and innovation. The analysis of the factors that influence in SMEs growth seems decisive in knowing how SMEs compete, helping to prioritize re...
| Autores: | , |
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| Formato: | artículo |
| Fecha de publicación: | 2024 |
| País: | España |
| Recursos: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/220770 |
| Acesso em linha: | https://riunet.upv.es/handle/10251/220770 |
| Access Level: | acceso abierto |
| Palavra-chave: | Small and medium-sized enterprises (SMEs) Key factors for growth Growth strategies Bayesian Best and Worst Method |
| Resumo: | [EN] The small and medium-sized enterprises (SMEs) are the main driver of employment, those that contribute greater economic growth in gross domestic product and innovation. The analysis of the factors that influence in SMEs growth seems decisive in knowing how SMEs compete, helping to prioritize resources and make decisions. This research has presented a methodology for decision-makers when having to select the most appropriate growth strategy. In this paper, the two first steps of such methodology have been implemented, having identified, from the scientific literatura, eight key growth factors and four SMEs growth strategies. Additionally, it has justified the application of the Bayesian Best and Worst Method in order to be able to rank these four strategies by weighting these eight key growth factors. |
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