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逐步改变对肉类的消费行为:一种新的决策平衡量表的制定和验证。

Gradual behaviour change towards meat reduction: Development and validation of a novel decisional balance scale.

机构信息

Zurich University of Applied Sciences, School of Management and Law, Institute of Marketing Management, Switzerland.

ETH Zurich, Department of Environmental Systems Science, Consumer Behaviour, Switzerland.

出版信息

Appetite. 2023 Jul 1;186:106537. doi: 10.1016/j.appet.2023.106537. Epub 2023 Mar 17.

Abstract

Meat reduction is gaining attention among consumers, marketers, policymakers and scientists. Yet little is known about decision-making processes and behaviour change towards meat reduction. This paper explores the applicability of the decisional balance (DB) framework to the field of meat reduction. A novel DB scale to measure the perceived importance of beliefs about meat reduction at different stages of behaviour change was developed and validated in two studies with German meat eaters. In Study 1 (N = 309), the item inventory was tested using an exploratory factor analysis and then validated in Study 2 (N = 809). The results yielded two higher-order DB factors (pros and cons), which were subdivided into five lower-order factors (perceived benefits of a plant-based diet, downsides of factory farming, health barriers, legitimation barriers and feasibility barriers). The pros and cons were summarised in a DB index. All DB factors and the DB index were tested for internal consistency (Cronbach's alpha ≥.70) and aspects of validity. The typical DB pattern of the pros and cons of behaviour change was confirmed: the cons outweighed the pros for consumers who did not intend to reduce meat consumption, while the pros outweighed the cons for consumers who intended to reduce meat consumption. The new DB scale for meat reduction has proven to be a suitable measure to gain insights into consumers' decision making and could be used to develop targeted meat reduction interventions.

摘要

肉类减少在消费者、营销人员、政策制定者和科学家中间受到关注。然而,人们对减少肉类消费的决策过程和行为变化知之甚少。本文探讨了决策平衡(DB)框架在肉类减少领域的适用性。开发并在两项针对德国肉食者的研究中验证了一种新的 DB 量表,用于衡量在行为变化的不同阶段对减少肉类的信念的感知重要性。在研究 1(N=309)中,使用探索性因素分析对项目清单进行了测试,然后在研究 2(N=809)中进行了验证。结果得出了两个高阶 DB 因素(赞成和反对),它们被细分为五个低阶因素(植物性饮食的好处、工厂化养殖的缺点、健康障碍、合法化障碍和可行性障碍)。赞成和反对被总结为一个 DB 指数。所有 DB 因素和 DB 指数都经过了内部一致性(Cronbach's alpha≥.70)和有效性方面的测试。证实了行为变化的赞成和反对的典型 DB 模式:对于不打算减少肉类消费的消费者,反对因素超过赞成因素,而对于打算减少肉类消费的消费者,赞成因素超过反对因素。新的肉类减少 DB 量表已被证明是一种了解消费者决策的合适方法,并可用于开发有针对性的肉类减少干预措施。

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