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Predicting fruit consumption: A multi-group application of the Theory of Planned Behavior.预测水果消费:计划行为理论的多群组应用。
Appetite. 2020 Feb 1;145:104490. doi: 10.1016/j.appet.2019.104490. Epub 2019 Oct 15.
2
Understanding proenvironmental intentions and behaviors: The importance of considering both the behavior setting and the type of behavior.理解亲环境意图与行为:考虑行为背景和行为类型的重要性。
J Soc Psychol. 2017;157(5):517-531. doi: 10.1080/00224545.2016.1215968. Epub 2016 Jul 25.
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A review and analysis of the use of 'habit' in understanding, predicting and influencing health-related behaviour.对“习惯”在理解、预测和影响健康相关行为方面的应用进行的综述与分析。
Health Psychol Rev. 2015;9(3):277-95. doi: 10.1080/17437199.2013.876238. Epub 2014 Jan 21.
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Predicting active school travel: the role of planned behavior and habit strength.预测积极的学校出行:计划行为和习惯强度的作用。
Int J Behav Nutr Phys Act. 2012 May 30;9:65. doi: 10.1186/1479-5868-9-65.
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A systematic review and meta-analysis of applications of the Self-Report Habit Index to nutrition and physical activity behaviours.对自我报告习惯指数在营养和身体活动行为中应用的系统评价和荟萃分析。
Ann Behav Med. 2011 Oct;42(2):174-87. doi: 10.1007/s12160-011-9282-0.
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Habit in the physical activity domain: integration with intention temporal stability and action control.习惯在身体活动领域:与意图的时间稳定性和动作控制的整合。
J Sport Exerc Psychol. 2010 Feb;32(1):84-98. doi: 10.1123/jsep.32.1.84.
7
Understanding adherence to 5 servings of fruits and vegetables per day: a theory of planned behavior perspective.理解每日食用五份水果和蔬菜的依从性:计划行为理论视角
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A multilevel examination of exercise intention and behavior during pregnancy.孕期运动意愿与行为的多层次研究
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工作场所的节能行为:计划行为理论扩展模型的应用

Energy-Saving Behaviours in Workplaces: Application of an Extended Model of the Theory of Planned Behaviour.

作者信息

Canova Luigina, Manganelli Anna Maria

机构信息

Department of Philosophy, Sociology, Education and Applied Psychology, University of Padua, Padua, Italy.

出版信息

Eur J Psychol. 2020 Aug 31;16(3):384-400. doi: 10.5964/ejop.v16i3.1893. eCollection 2020 Aug.

DOI:10.5964/ejop.v16i3.1893
PMID:33680189
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7909501/
Abstract

Individual energy-saving behaviours are crucial for reducing energy consumption, and research on the determinants of these behaviours has been increasing over the last decade. The aim of this study is to explore the determinants of two specific behaviours: 'switching off non-essential lights' and 'completely switching off electronic devices'. An extended model of the theory of planned behaviour (TPB) has been used as the theoretical research framework. The extension was implemented by considering two components (affective and cognitive) of the attitude towards these behaviours and then adding habit as a new variable. A two-waves study was conducted in which a convenience sample of Italian workers completed a questionnaire measuring the TPB constructs in relation to the two energy-saving behaviours (Time 1). The participants then completed another questionnaire a month later to assess self-reports of these behaviours (Time 2). The inclusion of habit improved the predictive power of the TPB, and the extended model was found to explain 65.5% and 76.1% of the variance in intentions and 16.2% and 22.9% of the variance in behaviours. Cognitive attitude, subjective norm, perceived behavioural control, and habit were significantly related to intentions, and perceived behavioural control was the strongest predictor. Habit moderated some relationships between the TPB constructs and intentions. Behaviours were associated directly only with intentions. The results of this study support the efficacy of the TPB model in predicting target behaviours; they also suggest some strategies that can be followed to promote these energy-saving behaviours.

摘要

个人节能行为对于降低能源消耗至关重要,在过去十年中,对这些行为的决定因素的研究一直在增加。本研究的目的是探讨两种特定行为的决定因素:“关闭非必要灯光”和“完全关闭电子设备”。计划行为理论(TPB)的扩展模型被用作理论研究框架。扩展是通过考虑对这些行为态度的两个组成部分(情感和认知),然后将习惯作为一个新变量添加来实现的。进行了一项两波研究,其中意大利工人的便利样本完成了一份问卷,测量与这两种节能行为相关的TPB构念(时间1)。参与者一个月后又完成了另一份问卷,以评估这些行为的自我报告(时间2)。习惯的纳入提高了TPB的预测能力,发现扩展模型解释了意图方差的65.5%和76.1%,以及行为方差的16.2%和22.9%。认知态度、主观规范、感知行为控制和习惯与意图显著相关,感知行为控制是最强的预测因素。习惯调节了TPB构念与意图之间的一些关系。行为仅与意图直接相关。本研究结果支持TPB模型在预测目标行为方面的有效性;它们还提出了一些可以遵循的策略来促进这些节能行为。