SMEs in Agriculture and Food Industry During the Health Crises Experience from the COVID-19 /
SMEs in Agriculture and Food Industry During the Health Crises Experience from the COVID-19 / [electronic resource] :
edited by Lamiha Ozturk, Rıza Bayrak, Lica Erhan.
- 1st ed. 2024.
- XXI, 185 p. 25 illus., 20 illus. in color. online resource.
- Studies in Systems, Decision and Control, 576 2198-4190 ; .
- Studies in Systems, Decision and Control, 576 .
Chapter 1.COVID-19 Impacts on Supply Chain Management: An Evaluation on Food and Agriculture Sector -- Chapter 2.Effects and Impact of COVID-19 on Global Finance and Economies -- Chapter 3.The Main Concepts of the Productivity and the Effects of COVID-19 on the Agricultural and Food Sector Productivity -- Chapter 4.Food Security Concepts -- Chapter 5.How do Employees' Subjective Perceptions Affect Efficiency? -- Chapter 6.Technology Management and e-Marketing Orientation After the Pandemic -- Chapter 7.Evaluation of the Performance and Sustainability of Smes Operating in the Agriculture and Food Sector Within the Framework of the Pandemic -- Chapter 8.The Future of the Food and Agriculture Sector in terms of Green Economics and Sustainable Development -- Chapter 9.Blockchain Technology in Combating Global Epidemics in Agriculture and Food Supply Chain Perspective -- Chapter 10.Impact of COVID-19 on Marketing Communications: New Directions in the Promotional Mix.
This book aims to propose a suitable contingency plan that can minimize the negative effects of future health crises while strengthening the resilience and adaptability of SMEs. This work is part of an integrated approach from the laboratory to the market, with the aim of analyzing and promoting practical and strategic solutions for the development of small and medium-sized enterprises (SMEs) in a crisis context. Following the results obtained, the scientific research team sought to broaden its scope of investigation by addressing the challenges that SMEs face during global crises. This is a crucial issue in a context where economic sustainability and security are increasingly threatened by unforeseen events such as global epidemics.
9783031772863
Computational intelligence.
Agriculture.
Engineering--Data processing.
Computational Intelligence.
Agriculture.
Data Engineering.
Q342
006.3
Chapter 1.COVID-19 Impacts on Supply Chain Management: An Evaluation on Food and Agriculture Sector -- Chapter 2.Effects and Impact of COVID-19 on Global Finance and Economies -- Chapter 3.The Main Concepts of the Productivity and the Effects of COVID-19 on the Agricultural and Food Sector Productivity -- Chapter 4.Food Security Concepts -- Chapter 5.How do Employees' Subjective Perceptions Affect Efficiency? -- Chapter 6.Technology Management and e-Marketing Orientation After the Pandemic -- Chapter 7.Evaluation of the Performance and Sustainability of Smes Operating in the Agriculture and Food Sector Within the Framework of the Pandemic -- Chapter 8.The Future of the Food and Agriculture Sector in terms of Green Economics and Sustainable Development -- Chapter 9.Blockchain Technology in Combating Global Epidemics in Agriculture and Food Supply Chain Perspective -- Chapter 10.Impact of COVID-19 on Marketing Communications: New Directions in the Promotional Mix.
This book aims to propose a suitable contingency plan that can minimize the negative effects of future health crises while strengthening the resilience and adaptability of SMEs. This work is part of an integrated approach from the laboratory to the market, with the aim of analyzing and promoting practical and strategic solutions for the development of small and medium-sized enterprises (SMEs) in a crisis context. Following the results obtained, the scientific research team sought to broaden its scope of investigation by addressing the challenges that SMEs face during global crises. This is a crucial issue in a context where economic sustainability and security are increasingly threatened by unforeseen events such as global epidemics.
9783031772863
Computational intelligence.
Agriculture.
Engineering--Data processing.
Computational Intelligence.
Agriculture.
Data Engineering.
Q342
006.3
