Análise de Indicadores de Sazonalidade e Demanda Potencial para Otimizar a Precificação de um Atacado para um Ambiente Simulado

Authors

  • Hélio Veiga do Amaral Universidade Federal Fluminense
  • João Guilherme Duarte Pereira Universidade Federal Fluminense

DOI:

https://doi.org/10.20401/lagos.12.1.367

Keywords:

Business game, Simulation, Seasonality

Abstract

In an increasingly competitive market, indicators that help predict the best way to price a product are essential to increase the company's results as well as for its stakeholders. Therefore, the objective of this research is to analyze the impact on the company's results of using seasonality and potential demand indicators to base the pricing of Alpha, Beta and Omega products, offered by a wholesaler in a simulated environment. For that, the result indicators were presented for each round of the companies game, to extract the result of the pricing decisions. The research is exploratory, through the experience of a company game, performed in the discipline of Simulated Management Laboratory. The company's objective is to increase the Return on Equity (ROE) by adopting pricing strategies, marketing, interesting commercial agreements with industries and the future study of the implementation of innovation projects. However, we were not able to be the most efficient attacker in the first year of the game, however there was a significant improvement when there was an understanding that the seasonality and potential demand factors are essential for the company's planning throughout the simulation.

Author Biographies

Hélio Veiga do Amaral, Universidade Federal Fluminense

Graduação em Administração no  Instituto de Ciências Humanas e Sociais, Universidade Federal Fluminense, Volta Redonda, RJ

João Guilherme Duarte Pereira, Universidade Federal Fluminense

Graduação em Administração no  Instituto de Ciências Humanas e Sociais, Universidade Federal Fluminense, Volta Redonda, RJ

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Published

2021-09-01

How to Cite

DO AMARAL, Hélio Veiga; PEREIRA, João Guilherme Duarte. Análise de Indicadores de Sazonalidade e Demanda Potencial para Otimizar a Precificação de um Atacado para um Ambiente Simulado. REVISTA LAGOS, [S. l.], v. 12, n. 1, p. 17–22, 2021. DOI: 10.20401/lagos.12.1.367. Disponível em: https://lagos.vr.uff.br/index.php/lagos/article/view/367. Acesso em: 3 mar. 2025.

Issue

Vol. 12 No. 1 (2021): LAGOS Journal

Section

Pesquisa aplicada em ambientes simulados

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