Literature DB >> 10859780

The influence of trust and perceptions of risks and benefits on the acceptance of gene technology.

M Siegrist1.   

Abstract

A causal model explaining acceptance of gene technology was tested. It was hypothesized that trust in institutions using gene technology or using modified products has a positive impact on perceived benefit and a negative influence on perceived risk of this technology. Furthermore, perceived benefit and perceived risk determine acceptance of biotechnology. In other words, trust has an indirect influence on the acceptance of the technology. The postulated model was tested using structural equation modeling procedures and data from a random quota sample of 1001 Swiss citizens between 18 and 74 years old. Results indicated that the proposed model fits the data very well. The same causal model explains females' and males' acceptance of gene technology. Gender differences were found for the latent variables trust, perceived benefit, and acceptance of gene technology. Females indicated more trust, perceived less benefit, and demonstrated less acceptance than did males. No significant difference was observed for perceived risk. The implications of the results are discussed.

Entities:  

Keywords:  Empirical Approach; Genetics and Reproduction

Mesh:

Year:  2000        PMID: 10859780     DOI: 10.1111/0272-4332.202020

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  59 in total

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Journal:  EMBO Rep       Date:  2004-10       Impact factor: 8.807

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Authors:  Michael R Greenberg; John Renne
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Authors:  Ian J Mauro; Stéphane M McLachlan; Rene C Van Acker
Journal:  Environ Sci Pollut Res Int       Date:  2009-05-28       Impact factor: 4.223

6.  The role of means and goals in technology acceptance. A differentiated landscape of public perceptions of pharming.

Authors:  Rafael Pardo; Margret Engelhard; Kristin Hagen; Rikke Bagger Jørgensen; Eckard Rehbinder; Angelika Schnieke; Mariana Szmulewicz; Felix Thiele
Journal:  EMBO Rep       Date:  2009-09-18       Impact factor: 8.807

7.  Anticipating the perceived risk of nanotechnologies.

Authors:  Terre Satterfield; Milind Kandlikar; Christian E H Beaudrie; Joseph Conti; Barbara Herr Harthorn
Journal:  Nat Nanotechnol       Date:  2009-09-20       Impact factor: 39.213

8.  Willingness to Report Medical Incidents in Healthcare: a Psychological Model Based on Organizational Trust and Benefit/Risk Perceptions.

Authors:  Xiaosong Zhao; Shumeng Zhao; Na Liu; Peng Liu
Journal:  J Behav Health Serv Res       Date:  2021-04-13       Impact factor: 1.505

9.  Corporate social responsibility for nanotechnology oversight.

Authors:  Jennifer Kuzma; Aliya Kuzhabekova
Journal:  Med Health Care Philos       Date:  2011-11

10.  Making sense of policy choices: understanding the roles of value predispositions, mass media, and cognitive processing in public attitudes toward nanotechnology.

Authors:  Shirley S Ho; Dietram A Scheufele; Elizabeth A Corley
Journal:  J Nanopart Res       Date:  2010-08-01       Impact factor: 2.253

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