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Gestão estratégica : sistemas, ferramentas e práticas : o impacto da inteligência artificial nos sistemas de gestão estratégica : caso da SIXT
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A presente dissertação investiga o impacto da IA nos sistemas de gestão estratégica, com foco na sua aplicação no pricing e previsão de procura. O estudo analisa como a integração de algoritmos de machine learning impacta a eficiência operacional, a rentabilidade e a tomada de decisão estratégica nas empresas. Deste modo, este estudo visa responder à seguinte questão de investigação: Como é que IA está a transformar os sistemas de gestão estratégica nas empresas e quais são as implicações para o desempenho organizacional? Para esta investigação adotou-se uma abordagem qualitativa, sustentada no estudo de caso da SIXT, empresa líder na indústria de rent-a-car em Portugal. Foram realizadas entrevistas semiestruturadas com gestores e colaboradores da empresa, assim como a análise de indicadores-chave de desempenho (KPIs) antes e depois da implementação da IA nos sistemas de pricing e previsão de procura. Os resultados demonstram que a implementação da IA nos sistemas de gestão permitiu maior eficiência na aplicação dos preços, precisão na previsão da procura, otimização da taxa de ocupação da frota e um aumento da rentabilidade da SIXT. A investigação destaca desafios como a complexidade dos modelos algorítmicos e a necessidade de adaptação organizacional. As implicações do estudo reforçam a importância da IA na modernização da gestão estratégica, demonstrando como as empresas podem integrar algoritmos de machine learning na tomada de decisão para aumentar a eficiência e a competitividade.
This dissertation investigates the impact of AI on strategic management systems, with a focus on its application in pricing and demand forecasting. The study analyses how the integration of machine learning algorithms impacts operational efficiency, profitability and strategic decision-making in companies. In this way, this study aims to answer the following research question: How is AI transforming strategic management systems in companies and what are the implications for organizational performance? A qualitative approach was adopted for this research, based on the case study of SIXT, a leading company in the rent-a-car industry in Portugal. Semi-structured interviews were conducted with company managers and employees, as well as analyzing key performance indicators (KPIs) before and after the implementation of AI in the pricing and demand forecasting systems. The results show that the implementation of AI in the management systems has led to greater efficiency in the application of prices, accuracy in forecasting demand, optimization of the fleet occupancy rate and an increase in SIXT's profitability. The research highlights challenges such as the complexity of algorithmic models and the need for organizational adaptation. The implications of the study reinforce the importance of AI in modernizing strategic management, demonstrating how companies can integrate machine learning algorithms into decision-making to increase efficiency and profitability.
This dissertation investigates the impact of AI on strategic management systems, with a focus on its application in pricing and demand forecasting. The study analyses how the integration of machine learning algorithms impacts operational efficiency, profitability and strategic decision-making in companies. In this way, this study aims to answer the following research question: How is AI transforming strategic management systems in companies and what are the implications for organizational performance? A qualitative approach was adopted for this research, based on the case study of SIXT, a leading company in the rent-a-car industry in Portugal. Semi-structured interviews were conducted with company managers and employees, as well as analyzing key performance indicators (KPIs) before and after the implementation of AI in the pricing and demand forecasting systems. The results show that the implementation of AI in the management systems has led to greater efficiency in the application of prices, accuracy in forecasting demand, optimization of the fleet occupancy rate and an increase in SIXT's profitability. The research highlights challenges such as the complexity of algorithmic models and the need for organizational adaptation. The implications of the study reinforce the importance of AI in modernizing strategic management, demonstrating how companies can integrate machine learning algorithms into decision-making to increase efficiency and profitability.
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Inteligência artificial Gestão estratégica Sistemas de pricing Estimativas de procura SIXT Rent-a-car Tomada de decisão Eficiência operacional Vantagem competitiva Inovação Artificial intelligence Strategic management Pricing systems Demand estimation Decision making Operational efficiency Competitive advantage Innovation
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Sem licença CC