Este artigo apresenta alguns dos elementos facilitadores e dificultadores para se implantar a metodologia Estratégia do Oceano Azul (EOA). A empresa estudada passava por uma situação competitiva intricada, com redução de demanda e excesso de oferta. Com o uso de alguns dos pressupostos da EOA, a empresa redefiniu estratégias competitivas reduzindo sua exposição à rivalidade tipicamente encontrada em setores maduros. Este artigo narra a construção da curva de valor, que tomou 540 horas em entrevistas, contou com a participação de um dos autores e envolveu diversos grupos de foco. Como resultados, entre outros elementos, destaca-se a importância da criação de sentido (sensemaking) e da heterogeneidade de fontes de informação. Diante da riqueza dos achados, considera-se que este artigo contribui para o campo da Estratégia Empresarial. Entre outros, descreve a formação das equipes, mecanismos de coleta de dados e desenvolvimento da curva de valor. O método para desenvolvimento desse artigo baseou-se na pesquisa-ação conduzida pelos autores durante o desenvolvimento do projeto EOA. Foram também conduzidas entrevistas e consultadas fontes secundárias de dados.Palavras-chave: Curva de valor; Estratégia do oceano azul; Formação de estratégias. BLUE OCEAN STRATEGY: IMPLEMENTATION REPORT IN A SECTOR IN CRISIS ABSTRACTThis paper presents some drivers and obstacles for implementing the Blue Ocean Strategy methodology (BOS). The company studied underwent a complex competitive environment, with reduced demand and supply excess. With the use of some of the assumptions of the BOS, the company redefined its competitive strategies and reduced its exposure to the rivalry usually found in mature industries. This paper presents the construction of the value curve, which took 540 hours of interviews and various focus groups. As a result, among other things, it highlights the importance of sensemaking and the diversity of information sources. Given these findings, it is considered that this paper contribute to the field of Business Strategy. Among others, the report describes the formation of teams, data collection mechanisms and development of value curve. The method for developing this article was based on an action research conducted by the authors during the development of EOA project. Besides the use of such a method, interviews and secondary data analysis were conducted. Keywords RESUMENEste artículo presenta algunos de los facilitadores y dificultando desplegar la metodología Estrategia del Océano Azul (EOA). La empresa estudiada pasó por una situación competitiva intrincada, con una demanda reducida y el exceso de oferta. Con el uso de algunos de los supuestos de la EOA, la empresa redefinió estrategias competitivas mediante la reducción de su exposición a la rivalidad se encuentran típicamente en industrias maduras. El artículo relata la construcción de la curva de valor, que tuvo 540 horas de entrevistas, se asistió a uno de los autores y participan varios grupos de enfoque. Como resultado, entre otras cosas, pone de reliev...
This paper presents some drivers and obstacles for implementing the Blue Ocean Strategy methodology (BOS). The company studied underwent a complex competitive environment, with reduced demand and supply excess. With the use of some of the assumptions of the BOS, the company redefined its competitive strategies and reduced its exposure to the rivalry usually found in mature industries. This paper presents the construction of the value curve, which took 540 hours of interviews and various focus groups. As a result, among other things, it highlights the importance of sensemaking and the diversity of information sources. Given these findings, it is considered that this paper contribute to the field of Business Strategy. Among others, the report describes the formation of teams, data collection mechanisms and development of value curve. The method for developing this article was based on an action research conducted by the authors during the development of EOA project. Besides the use of such a method, interviews and secondary data analysis were conducted.
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