Study of innovation capacity of fisheries companies in the covid-19 pandemic crisis

• Autor(a) principal: Dehyouri,S.
• Data de Publicação: 2024
• Outros Autores: Zand,A., Arfaee,M.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Brazilian Journal of Biology
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842024000100374
• topic: covid19 pandemic; fisheries firms; innovation capacities; smart PLS model

Abstract Many countries have encountered coronavirus pandemic crisis around the world. Through the outbreak of this disease in Iran, preventive plans have been implemented to break the chain of the disease infection. These measures in the economic sector have affected supply, production and demand, and to some extent have led to the partial or complete closure of some businesses and occupations. In the context, it seems that innovative an “innovation capacity” infrastructure measures and turning to innovation in this crisis can be a strategy to moderate and optimize the situation. This study tries to design concepts of the fisheries firms’ innovation capacity model in the context of the COVID-19 pandemic crisis. After collecting data, they were analyzed using SPSS and PLS SMART software, which were performed in two parts: descriptive statistics and analytical or inferential statistics. A novel research model is presented to examine the impact of factors such as innovation management, social, cultural, human and organizational capital, crisis strategies, government actions in crisis situations, and marketing strategies in crisis situations, as well as, recognition and application of marketing advantages in crisis situations, which offers a re-analysis of innovation capacity. According to the results, among the variables played a significant role on the level of innovation capacity in epidemic conditions, innovation management (p> 0.000; β = 0.593), and recognition and application of marketing advantages (p> 0.049; β = 0.209) were the most significant, independent variables affecting the innovation capacity, which explained its variations.