Application of the Heuristic-Systematic Model to Chronic wasting Disease Risk perceptions

IF 2.2 3区 社会学 Q2 DEVELOPMENT STUDIES Society & Natural Resources Pub Date : 2023-03-08 DOI:10.1080/08941920.2023.2183443
Kyle Smith, Adam C. Landon, S. Schroeder, Leslie E. Mcinenly
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引用次数: 1

Abstract

Abstract The heuristic-systematic model (HSM) suggests that when presented with a choice, individuals will use either heuristic or systematic processing modes to arrive at a judgment. In this paper, we evaluate the HSM model in the context of hunter perceptions toward chronic wasting disease (CWD), a neurological disease found in members of the family Cervidae that threatens the health of cervid populations and the flow of benefits humans derive from them. Data were obtained from surveys of hunters who harvested inside (N = 1500) and outside (N = 3500) of Disease Management Areas (DMAs) across the state of Minnesota with an overall response rate of ∼33%. Results suggested that self-efficacy and information sufficiency were associated with heuristic processing, while motivation was associated with systematic processing. Heuristic processing was associated with lower levels of perceived risk than systematic processing. Our results have implications for the communication efforts related to CWD management and engagement with the public.
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启发式系统模型在慢性消耗性疾病风险认知中的应用
摘要启发式系统模型(HSM)表明,当提出选择时,个人将使用启发式或系统处理模式来做出判断。在这篇论文中,我们在猎人对慢性消耗性疾病(CWD)的认知背景下评估了HSM模型,这是一种在鹿科成员中发现的神经疾病,威胁着鹿种群的健康以及人类从中获得的利益。数据来自于对在内部狩猎的猎人的调查(N = 1500)和外部(N = 3500)的疾病管理区(DMA),总体响应率为~33%。结果表明,自我效能感和信息充分性与启发式加工有关,而动机与系统加工有关。与系统处理相比,启发式处理与较低的感知风险水平相关。我们的研究结果对CWD管理和公众参与相关的沟通工作具有启示意义。
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来源期刊
CiteScore
4.60
自引率
8.00%
发文量
83
期刊介绍: Society and Natural Resources publishes cutting edge social science research that advances understanding of the interaction between society and natural resources.Social science research is extensive and comes from a number of disciplines, including sociology, psychology, political science, communications, planning, education, and anthropology. We welcome research from all of these disciplines and interdisciplinary social science research that transcends the boundaries of any single social science discipline. We define natural resources broadly to include water, air, wildlife, fisheries, forests, natural lands, urban ecosystems, and intensively managed lands. While we welcome all papers that fit within this broad scope, we especially welcome papers in the following four important and broad areas in the field: 1. Protected area management and governance 2. Stakeholder analysis, consultation and engagement; deliberation processes; governance; conflict resolution; social learning; social impact assessment 3. Theoretical frameworks, epistemological issues, and methodological perspectives 4. Multiscalar character of social implications of natural resource management
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