Utilização de inteligência artificial na metodologia de OKRs: um framework teórico

• Autor(a) principal: Gonçalves, Victor Barbosa
• Data de Publicação: 2022
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFU
• Texto Completo: https://repositorio.ufu.br/handle/123456789/36167
• topic: Inteligência artificial; Artificial intelligence; OKRs; OKRs; Aprendizado de máquina; Machine learning; Orientação a dados; Data driven; Framework teórico; Theoretical framework; CNPQ::ENGENHARIAS::ENGENHARIA ELETRICA

The agile transition of companies is something complex to accomplish. The use of methodologies and resources may be necessary to achieve an agile organization that generates value and is aligned with the company's strategy. In this context, the Objectives and Key Results (OKRs) methodology and Artificial Intelligence (AI) technology may help in the structuring of the company, considering that their combination emerges as an opportunity to enhance value generation further and contribute to strategy alignment. To enhance the potential of the OKRs methodology through data-driven guidance, this paper proposes a theoretical framework of AI technology applied in the OKRs methodology. Through the proposed framework, a groundwork is built to support the development of future work related to the theme of the investigation. AI technology is expected to amplify the strategy alignment outcomes of the OKRs methodology with data-driven orientation. As a result, it is expected that shortcomings of the OKRs methodology will be addressed, such as scalability and increased generation of more insights into engagement and motivational problems, thus, enhancing the benefits of the OKRs methodology.