Explaining the cause-effect relationships of factors affecting the development of innovation capacity in the technological transition of selected food industries of Iran

Document Type : Innovation

Authors

1 PhD Candidate, Faculty of Economics and Administrative Sciences, University of Mazandaran, Babolsar, Iran.

2 Professor, Faculty of Economics and administrative Sciences, University of Mazandaran, Babolsar, Iran

3 Department of Industrial Management, Faculty of Economics and Administrative Sciences, University of Mazandaran, Babolsar, Iran

Abstract

The technological progress of companies means the technological development of the late company to reduce the technological distance from the leading companies. In this regard, innovation capacityis the companys potential capacity to carry out innovative activities the food industry, to improve technological competitiveness, needs to develop its innovative capacities in each of the transition stages through the acquisition of new capabilities or the improvement of existing capabilities and Apply policies to bring the most benefits for themselves and the country. The purpose of the current research is to explain the cause-effect relationships of the factors influencing the development of innovation capacity for the technological advancement of selected food industries in Iran. The research is of an applied type and according to the presented model, it is also considered developmental. In this research, first, using the meta-composition technique, effective factors were extracted from the text of selected sources (41 articles) between 1990-2021, and 41 codes, 9 concepts, and 3 categories were identified. Then, using the Denap technique, prioritization relationships between factors, and the degree of influence and effectiveness of factors was done. In this research, 5 different food industry companies were investigated in 3 provinces of Gilan,Mazandaran, and Tehran. To collect data, using snowball sampling, 14 university, and food industry experts were selected, 12 of whom were Dimtel questionnaire based on network analysis process (DANP) answered. The results of this research indicate that the most weight in the criteria was assigned to structural empowerment factors, knowledge empowerment factors, institutional policy factors, and below the criteria to human resources. Also, the most influential sub-criteria were extracted, respectively, consulting institutions and think tanks, government, strategic management, organizational factors, and technological learning, and the most influential were investmentinstitutions, human resources, open innovation in research and development management, and knowledge management.

Keywords

Main Subjects

References

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History

  • Receive Date: 12 February 2023
  • Revise Date: 24 May 2023
  • Accept Date: 07 June 2023

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