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Factors driving public tolerance levels and information‐seeking behaviour concerning insects in the household environment

BACKGROUND: The public's negative attitudes towards household insects drive tolerance for these insects and their control. Tolerance levels are important in integrated pest management (IPM), as are pest knowledge and information. The risk information seeking and processing (RISP) model describe...

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Autores principales: Schoelitsz, Bruce, Poortvliet, P Marijn, Takken, Willem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5969102/
https://www.ncbi.nlm.nih.gov/pubmed/29274106
http://dx.doi.org/10.1002/ps.4839
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author Schoelitsz, Bruce
Poortvliet, P Marijn
Takken, Willem
author_facet Schoelitsz, Bruce
Poortvliet, P Marijn
Takken, Willem
author_sort Schoelitsz, Bruce
collection PubMed
description BACKGROUND: The public's negative attitudes towards household insects drive tolerance for these insects and their control. Tolerance levels are important in integrated pest management (IPM), as are pest knowledge and information. The risk information seeking and processing (RISP) model describes the relationships between personal factors and information‐seeking behaviour. We combined IPM and RISP to determine important relationships between factors driving insect tolerance levels and information‐seeking behaviour through an online survey and tested whether this model is valid and generally applicable. RESULTS: Relationships between variables from both IPM and RISP models were tested for seven insect species. Tolerance levels were measured with two factors: willingness to pay for pest control and whether insects are tolerated. Willingness to pay for control was positively affected by age, experience, risk perception, insect characteristics, and negative emotions and affected behavioural intention, by influencing information sufficiency and information‐seeking behaviour. Tolerability was influenced by perception of insect characteristics and determines whether control measures are taken. CONCLUSION: It was possible to combine the RISP and IPM models. Relevant driving factors were a person's age, experience, risk perception, negative affective responses, tolerance levels, relevant channel beliefs about online forums, information sufficiency and information‐seeking behaviour. There was, however, variation in important factors between different insects. © 2017 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
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spelling pubmed-59691022018-05-30 Factors driving public tolerance levels and information‐seeking behaviour concerning insects in the household environment Schoelitsz, Bruce Poortvliet, P Marijn Takken, Willem Pest Manag Sci Research Articles BACKGROUND: The public's negative attitudes towards household insects drive tolerance for these insects and their control. Tolerance levels are important in integrated pest management (IPM), as are pest knowledge and information. The risk information seeking and processing (RISP) model describes the relationships between personal factors and information‐seeking behaviour. We combined IPM and RISP to determine important relationships between factors driving insect tolerance levels and information‐seeking behaviour through an online survey and tested whether this model is valid and generally applicable. RESULTS: Relationships between variables from both IPM and RISP models were tested for seven insect species. Tolerance levels were measured with two factors: willingness to pay for pest control and whether insects are tolerated. Willingness to pay for control was positively affected by age, experience, risk perception, insect characteristics, and negative emotions and affected behavioural intention, by influencing information sufficiency and information‐seeking behaviour. Tolerability was influenced by perception of insect characteristics and determines whether control measures are taken. CONCLUSION: It was possible to combine the RISP and IPM models. Relevant driving factors were a person's age, experience, risk perception, negative affective responses, tolerance levels, relevant channel beliefs about online forums, information sufficiency and information‐seeking behaviour. There was, however, variation in important factors between different insects. © 2017 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. John Wiley & Sons, Ltd 2018-02-23 2018-06 /pmc/articles/PMC5969102/ /pubmed/29274106 http://dx.doi.org/10.1002/ps.4839 Text en © 2017 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Schoelitsz, Bruce
Poortvliet, P Marijn
Takken, Willem
Factors driving public tolerance levels and information‐seeking behaviour concerning insects in the household environment
title Factors driving public tolerance levels and information‐seeking behaviour concerning insects in the household environment
title_full Factors driving public tolerance levels and information‐seeking behaviour concerning insects in the household environment
title_fullStr Factors driving public tolerance levels and information‐seeking behaviour concerning insects in the household environment
title_full_unstemmed Factors driving public tolerance levels and information‐seeking behaviour concerning insects in the household environment
title_short Factors driving public tolerance levels and information‐seeking behaviour concerning insects in the household environment
title_sort factors driving public tolerance levels and information‐seeking behaviour concerning insects in the household environment
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5969102/
https://www.ncbi.nlm.nih.gov/pubmed/29274106
http://dx.doi.org/10.1002/ps.4839
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