Predicting People’s Motivation to Engage in Urban Possum Control

Kaine, Geoff; Kirk, Nicholas; Kannemeyer, Robyn; Stronge, Dean; Wiercinski, Ben

doi:10.3390/conservation1030016

Cited by 10 publications

(7 citation statements)

References 21 publications

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“…In summary, Kaine et al [ 6 ] hypothesised that individual responses to policy measures will depend on the intensity and source of involvement of the individual with the measure and, where that involvement is sufficiently intense to form an attitude, on whether that attitude is favourable or unfavourable. The I 3 Framework has been employed to understand and predict compliance behaviour in a variety of contexts in agriculture [ 16 , 18 – 20 ], rural and urban predator control [ 21 , 22 ], and community support for predator control [ 23 ]. The results of these studies suggests the Framework has predictive and differential validity with respect to compliance behaviour and discriminant validity with respect to attitudes.…”

Section: Theorymentioning

confidence: 99%

Compliance with Covid-19 measures: Evidence from New Zealand

2022

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Governments around the world are seeking to slow the spread of Covid-19 by implementing measures that encourage, or mandate, changes in people’s behaviour. These changes include the wearing of face masks, social distancing, and testing and self-isolating when unwell. The success of these measures depends on the commitment of individuals to change their behaviour accordingly. Understanding and predicting the motivation of individuals to change their behaviour is therefore critical in assessing the likely effectiveness of these measures in slowing the spread of the virus. In this paper we draw on a novel framework, the I3 Compliance Response Framework, to understand and predict the motivation of residents in Auckland, New Zealand, to comply with measures to prevent the spread of Covid-19. The Framework is based on two concepts. The first uses the involvement construct to predict the motivation of individuals to comply. The second separates the influence of the policy measure from the influence of the policy outcome on the motivation of individuals to comply. In short, the Framework differentiates between the strength of individuals’ motivation and their beliefs about the advantages and disadvantages of policy outcomes and policy measures. We found this differentiation was useful in predicting an individual’s possible behavioural responses to a measure and discuss how it could assist government agencies to develop strategies to enhance compliance.

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Section: Theorymentioning

confidence: 99%

Compliance with Covid-19 measures: Evidence from New Zealand

2022

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“…This paper is based on theories drawn from social psychology and marketing, which have been described in detail previously [20][21][22][23]. Briefly, the theory employed in this study differentiates between limited decision processes and extended decision processes [24,25].…”

Section: Theorymentioning

confidence: 99%

Predicting Community Participation in Passive Pest Surveillance

Kaine,

Wright,

Mason

2024

Conservation

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Predicting the willingness of people to engage in passive surveillance is crucial to the success of community-based efforts to manage invasive species and conserve native biodiversity. We draw on the marketing concept of involvement, which reflects the personal importance of an issue or behaviour, to understand and measure the motivation of members of the public to engage in passive surveillance. The usefulness of this concept was tested by analysing the responses of householders to surveys about their willingness to engage in passive surveillance for a purely environmental pest, Red-eared Slider Turtles (Trachemys scripta elegans), and their willingness to engage in passive surveillance for an economic and environmental pest, Argentine Ants (Linepithema humile), in New Zealand. We found that involvement influenced intentions, attitudes and surveillance behaviour for both invasive pests. We discussed the implications of these findings for (i) choosing between a surveillance strategy based on recruiting and training highly motivated members of the public and a strategy based on passive surveillance by any member of the public; (ii) growing the potential for passive surveillance by either increasing involvement with preventing the spread of a pest or increasing involvement with surveillance activities themselves; and (iii) determining the importance of convenient reporting mechanisms in promoting consistent reporting.

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“…In a specific applied setting, such as a policy to control the spread of Covid-19, the I 3 Framework enables the prediction of people’s likely compliance with measures such as willingness to participate in a mass vaccination programme and, given the reasons for their involvement and their attitudes, the best ways to enhance that compliance. The I 3 Framework has been employed to understand and predict compliance behaviour in a variety of contexts in agriculture [ 19 , 23 , 25 , 26 ], rural and urban predator control [ 27 , 28 ], and community support for predator control [ 29 , 30 ].…”

Section: Theorymentioning

confidence: 99%

Predicting willingness to be vaccinated for Covid-19: Evidence from New Zealand

2022

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Governments around the world are seeking to slow the spread of Covid-19 and reduce hospitalisations by encouraging mass vaccinations for Covid-19. The success of this policy depends on most of the population accepting the vaccine and then being vaccinated. Understanding and predicting the motivation of individuals to be vaccinated is, therefore, critical in assessing the likely effectiveness of a mass vaccination programme in slowing the spread of the virus. In this paper we draw on the I3 Response Framework to understand and predict the willingness of New Zealanders to be vaccinated for Covid-19. The Framework differs from most studies predicting willingness to be vaccinated because it is based on the idea that the willingness to adopt a behaviour depends on both involvement (a measure of motivational strength) with the behaviour and attitudes towards the behaviour. We show that predictions of individuals’ willingness to be vaccinated are improved using involvement and attitudes together, compared to attitudes alone. This result has important implications for the implementation of mass vaccination programmes for Covid-19.

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Predicting People’s Motivation to Engage in Urban Possum Control

Cited by 10 publications

References 21 publications

Compliance with Covid-19 measures: Evidence from New Zealand

Compliance with Covid-19 measures: Evidence from New Zealand

Predicting Community Participation in Passive Pest Surveillance

Predicting willingness to be vaccinated for Covid-19: Evidence from New Zealand

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