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Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 534523
Title Factors driving public tolerance levels and information-seeking behaviour concerning insects in the household environment
Author(s) Schoelitsz, Bruce; Poortvliet, P.M.; Takken, Willem
Source Pest Management Science 74 (2018)6. - ISSN 1526-498X - p. 1478 - 1493.
DOI http://dx.doi.org/10.1002/ps.4839
Department(s) PE&RC
Laboratory of Entomology
Publication type Refereed Article in a scientific journal
Publication year 2018
Keyword(s) Household insects - Humans - Information-seeking behaviour - Integrated pest management - Risk information seeking and processing - Risk perception
Abstract 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.
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