Predicting waste sorting intention of residents of Jiangsu Province, China

Cudjoe, Dan; Nketiah, Emmanuel; Obuobi, Bright; Adjei, Mavis; Zhu, Bangzhu; Adu-Gyamfi, Gibbson

doi:10.1016/j.jclepro.2022.132838

Cited by 32 publications

(16 citation statements)

References 107 publications

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“…The emotional component is one's feelings concerning a subject, while the cognitive part concerns individual beliefs. Attitude has been shown to be a highly reliable predictor of behaviors and intentions to act ( Cudjoe et al, 2022 ). Also, the relationship between people's attitudes and intentions has been reported for many pro-environmental behaviors, including waste recycling, waste sorting, technology adoption and sustainable mining ( Adu-Gyamfi et al, 2022 ; Cudjoe et al, 2022 ; Nketiah et al, 2022 ; Obuobi et al, 2022 ; Shi et al, 2021 ; Soomro et al, 2022 ).…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Identifying the determinants of face mask disposal behavior and policy implications: An application of the extended theory of planned behavior

Oludoye

Broucke

Chen

et al. 2023

Resources, Conservation & Recycling Advances

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Section: Theoretical Frameworkmentioning

confidence: 99%

Identifying the determinants of face mask disposal behavior and policy implications: An application of the extended theory of planned behavior

Oludoye

Broucke

Chen

et al. 2023

Resources, Conservation & Recycling Advances

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“…The reasoned action approach (RAA) is a theoretical model for the prediction of peoples intentions and behavior (Fishbein and Ajzen, 2011), and has been used extensively to predict several human social and pro-environmental behaviors (Yuriev et al, 2020;Hardeman et al, 2002;Cudjoe et al, 2022). Primarily, the RAA explains the relationships that exist between individuals' beliefs, attitudes, norms, behavior control, intentions and actual behavior.…”

Section: The Reasoned Action Approachmentioning

confidence: 99%

“…However, the outcomes have been counterproductive and Formative research supports researchers in the design of applicable survey instruments by providing them with the prominent beliefs of the intended audience (Downs and Hausenblas, 2005); thereby preventing them from using previous research items and/or predetermined beliefs, both of which may lead to unreliable and unrealistic outcomes (Ajzen, 2015). The RAA was selected for this research because of its ability to support the prediction of pro-environmental behaviors (Yuriev et al, 2020;Ojedokun et al, 2022;Cudjoe et al, 2022), alongside its adaptability to the addition of new constructs onto the original model (Miller, 2017). Extending the RAA to increase its predictive viability is also recommended in literature (Graham-Rowe et al, 2015; Fishbein and Ajzen, 2011; Wang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Using an extended model of the reasoned action approach to explore individual behavioral intentions regarding litter prevention in a developing country

Oduro-Appiah

Afful²,

Osei-Tutu³

2023

Preprint

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Implementing litter prevention strategies is essential for cities of developing countries, especially due to the prevailing high incidence of littering and the urgent need to realize the adverse per capita environmental impact target of the sustainable development goals. In this article, we report the use of the prominent reasoned action approach ––in its original state and in an extended model with moral norms–– for exploring the key socio-cognitive determinants of individuals’ litter prevention intentions in Ghana. By analyzing the valid answers of 447 participants to a structured questionnaire on litter prevention, we found attitudes (β = 0.35, SE = 0.014, p < 0.001) and moral norms (β = 0.57, SE = 0.099, p < 0.001) as the most influencing determinants to individual intentions in the original and the extended models, respectively. The analysis suggests that individuals will stop littering their environments through the implementation of eco-friendly interventions aimed at eliciting self-responsibility and moral obligation. Campaigns targeted at demonstrating the effects of littering on drain blockage, flooding, and disease outbreaks may improve individual litter prevention attitudes. Installing waste receptacles in public spaces along with persuasive messages may also facilitate individual antilittering intentions. Apart from contributing to the implementation of a litter management strategy to reduce the flood risk and enhance the resilience of the Greater Accra region of Ghana, this research helps to close the literature gaps in litter prevention behavior, as well as support the modernization of the municipal solid waste management systems in developing countries.

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“…The authors postulate that behavior is under volitional control. TPB considers important factors influencing behavior intention and adoption: attitude, subjective norms, and perceived behavior control [34,35].…”

Section: Risks Of Artificial Intelligencementioning

confidence: 99%

Artificial Intelligence and Its Ethical Implications for Marketing

Gonçalves

Pinto²,

Rita³

et al. 2023

Emerg Sci J

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Despite the recent developments in AI, ethical questions arise when consumers contemplate how their data is being treated. This paper develops a conceptual model building on the theory of acceptance, risk, trust, and attitudes towards AI to understand the drivers that lead consumers to accept AI, considering consumers' ethical concerns. The model was empirically tested with 200 consumers of AI marketing services. The findings reveal that perceived risk significantly impacts attitudes toward AI, ethical concerns, and perceived trust and suggest a significant association between perceived risk, ethical concerns, and social norms. This research provides important theoretical and managerial implications for the ethical aspects of AI in marketing by highlighting the ethical and moral questions surrounding AI's acceptance. Doi: 10.28991/ESJ-2023-07-02-01 Full Text: PDF

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Predicting waste sorting intention of residents of Jiangsu Province, China

Cited by 32 publications

References 107 publications

Identifying the determinants of face mask disposal behavior and policy implications: An application of the extended theory of planned behavior

Identifying the determinants of face mask disposal behavior and policy implications: An application of the extended theory of planned behavior

Using an extended model of the reasoned action approach to explore individual behavioral intentions regarding litter prevention in a developing country

Artificial Intelligence and Its Ethical Implications for Marketing

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