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

Author:

Dehyouri S.1ORCID,Zand A.1ORCID,Arfaee M.1ORCID

Affiliation:

1. Islamic Azad University, Iran

Abstract

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.

Publisher

FapUNIFESP (SciELO)

Subject

General Agricultural and Biological Sciences

Reference53 articles.

1. Performance evaluation of enterprises’ innovation capacity based on fuzzy system model and convolutional neural network;ABUDUREHEMAN A.;Journal of Intelligent & Fuzzy Systems,2020

2. Assessment of ecto and endo parasites of Schizothorax plagiostomus inhabiting river Panjkora, Khyber Pakhtunkhwa, Pakistan;AHMAD A.;Brazilian Journal of Biology = Revista Brasileira de Biologia,2021

3. Crisis management for small business during the covid-19 outbreak: survival, resilience and renewal strategies of firms in Macau;ALVES J.C.;Research Square,2020

4. A comparative advantage analysis of fishing sector and its impact on Iran’s economic development;AMIRNEJAD H.;Iranian Journal of Fisheries Science,2020

5. The covid-19 pandemic, small-scale fisheries and coastal fishing communities;BENNETT N.J.;Coastal Management,2020

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