2020
DOI: 10.3390/su12041423
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A Framework to Predict Consumption Sustainability Levels of Individuals

Abstract: Innovative Information Systems services have the potential to promote more sustainable behavior. For these so-called Green Information Systems (Green IS) to work well, they should be tailored to individual behavior and attitudes. Although various theoretical models already exist, there is currently no technological solution that automatically estimates individual’s current sustainability levels related to their consumption behaviors in various consumption domains (e.g., mobility and housing). The paper aims at… Show more

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Cited by 6 publications
(6 citation statements)
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“…Individual behaviour and attitudes are also important aspects that influence change. These are determined by demographic and socio-economic characteristics, but also by psychological and factual knowledge about the environment [68,69] or by institutional pressure [48]. Motivations can vary based on the hierarchical position of the individuals desiring the change.…”
Section: Factorial Analysismentioning
confidence: 99%
“…Individual behaviour and attitudes are also important aspects that influence change. These are determined by demographic and socio-economic characteristics, but also by psychological and factual knowledge about the environment [68,69] or by institutional pressure [48]. Motivations can vary based on the hierarchical position of the individuals desiring the change.…”
Section: Factorial Analysismentioning
confidence: 99%
“…In general, the ability of AI models to fuse and process data should be embraced to develop decision-making platforms that encourage sustainable production practices [139] and promote responsible consumption habits by citizens [140].…”
Section: Strengths Weaknessesmentioning
confidence: 99%
“…However, neither of the two approaches is able to model multiple pathways of energy consumption behaviors. In this paper, we develop a comprehensive model of HH energy consumption and show how such models can be implemented with a SEM to provide structural framing of predictive analyses such as Moro and Holzer (2020). To this end, we build on Burger et al (2015) who put forward an interdisciplinary model of HH energy consumption based on major empirical and disciplinary findings of research from the fields of psychology, sociology, geography, consumer behavior science, and economics.…”
Section: Introductionmentioning
confidence: 99%