Social risk perception of genetically modified foods: towards a theoretical framework

Ghasemi, Sedigheh; Ahmadvand, Mostafa; Karami, Ezatollah; Azadi, Hossein

doi:10.1504/ijram.2022.130536

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Social risk perception of genetically modified foods: towards a theoretical framework

Ghasemi, Sedigheh; Ahmadvand, Mostafa; Karami, Ezatollah et al.

2022 • In International Journal of Risk Assessment and Management, 25 (3/4), p. 129

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https://hdl.handle.net/2268/313337

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10.1504/ijram.2022.130536

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Keywords :

Management Science and Operations Research; Statistics, Probability and Uncertainty; Business and International Management

Abstract :

[en] The debates over uncertainty about the possible undesirable impacts on human and the environmental safety of GM foods have increased. Most of these debates are rooted in different risk perceptions of various societal stakeholders. Despite growing studies on GM foods' knowledge, attitude, or behaviour, few have documented the risk perception models to assess stakeholders' risk perceptions. Therefore, this study aimed to develop a model to explain the social risk perception of GM foods. To this end, current risk perception theories and models were critically reviewed, then an attempt was made to develop an integrated and more comprehensive model called the "Comprehensive Social Risk Perception Model" (CSRPM). Addressing the theoretical and methodological weakness of conventional models, CSRPM could be a complementary model to more effectively study the social risk perception of GM foods in developed and developing countries. Furthermore, CSRPM can also be used in ex-ante and ex-post risk assessments.

Disciplines :

Agriculture & agronomy

Author, co-author :

Ghasemi, Sedigheh

Ahmadvand, Mostafa

Karami, Ezatollah

Azadi, Hossein ; Université de Liège - ULiège > TERRA Research Centre > Modélisation et développement

Language :

English

Title :

Social risk perception of genetically modified foods: towards a theoretical framework

Publication date :

2022

Journal title :

International Journal of Risk Assessment and Management

ISSN :

1466-8297

eISSN :

1741-5241

Publisher :

Inderscience Publishers

Volume :

Issue :

3/4

Pages :

129

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://www.inderscienceonline.com/doi/full/10.1504/IJRAM.2022.130536

Data Set :

10.1504/IJRAM.2022.130536

Available on ORBi :

since 16 February 2024

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