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Enhancing competency development and organizational effectiveness through advanced technologies: a position paper
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Orientador(es)
Resumo(s)
In recent years, companies have faced increasing pressure from glob-alization, requiring them to adapt not only to survive but also to thrive in a highly competitive environment. This adaptation has been facilitated by the ef-ficient integration of technology, achieved through digital processes and collab-oration tools. Digital transformation has emerged as a critical element for main-taining competitiveness as economies become increasingly digital. To succeed in this ever-evolving environment, companies must balance leveraging existing strengths with seeking new organizational agility. Integrating advanced tech-nologies like Artificial Intelligence (AI) and Web Technologies, into education and professional training is a strategic response to the challenges posed by the current digital landscape. AI, with its adaptability and automation capabilities, offers benefits such as increased efficiency, personalized learning, and stream-lined administrative processes. Continuous evaluation of teaching and learning, along with data extraction and predictive analysis, enhances e-learning quality and informs organizational decisions. This research aims to investigate how ad-vanced technologies can predict and adapt organizational training needs to im-prove competency development and overall effectiveness. The research adopts a Design Science Research (DSR) methodology, focusing on the development and implementation of an AI-based framework for personalized training rec-ommendations. Expected outcomes include integrating AI-driven predictive models with existing Human Resources Management Systems to identify and address training needs, fostering employee skill development, organizational agility, and competitiveness in a rapidly changing market. Additionally, ad-dressing this issue promotes a more inclusive and empowering work environ-ment, enabling employees to thrive in an increasingly digital world.
Descrição
Palavras-chave
Artificial Intelligence (AI) Web technologies Predictive analytics Organizational training Competency development
Contexto Educativo
Citação
Editora
Springer
Licença CC
Sem licença CC