Understanding Consumer Recycling Behavior: Combining the Theory of Planned Behavior and the Norm Activation Model

Park, Joohyung; Ha, Sejin

doi:10.1111/fcsr.12061

Cited by 369 publications

(318 citation statements)

References 38 publications

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“…However, no study has so far investigated the socio-psychological factors driving young citizens' such as school students' recycling intentions in the Indian context. In this regard, recycling intention can be defined as "an individual's self-commitment to engage in recycling behaviours" [43]. Consumption of electronic gadgets (e.g., mobile phones and computers) and fashionable items (e.g., clothing, bags, and accessories) has been growing rapidly among the youth in Indian cities and this trend is likely to continue in the future as urban households become wealthy.…”

Section: Importance Of the Youth Participation In Recycling In Indiamentioning

confidence: 99%

Predictors of Recycling Intentions among the Youth: A Developing Country Perspective

Halder

Singh²

2018

Recycling

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India is currently facing a mounting challenge related to municipal waste management, due to an increasing urban population, and their high consumption lifestyles. India also has the world's highest number of young people in the 10-24 years age group. The study applied the theory of planned behaviour (TPB) model to predict school students' recycling intentions in Delhi, the capital of India and one of the highest producers of municipal solid wastes in the country. Data were collected from a school in New Delhi and the sample size consisted of 272 students from 9th and 10th grades. The TPB model explained 56% of the variance in the students' intentions to recycling. The predictor 'subjective norm' appeared to have the strongest impact on the students' recycling intentions, followed by 'attitude' and 'perceived behavioural control'. It indicated that social factors are driving the Indian youth's recycling intentions. It is important that the policymakers promote recycling as a social trend in India and provide adequate facilities to the public so that they can participate in recycling activities without facing difficulties. Schools also have a role in increasing students' awareness of recycling and motivating them to participate in household waste management practices.

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Section: Importance Of the Youth Participation In Recycling In Indiamentioning

confidence: 99%

Predictors of Recycling Intentions among the Youth: A Developing Country Perspective

Halder

Singh²

2018

Recycling

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“…in the area of energy conservation (Black, Stern & Elworth, 1985), regarding recycling (Park & Ha 2014, Bratt 1999, Hopper & Nielsen 1991 and general pro-environmental behaviour (Nordlund & Garvill 2002).…”

Section: Factors Influencing Return and Recycling Behaviourmentioning

confidence: 99%

Drivers and barriers to return and recycling of mobile phones. Case studies of communication and collection campaigns

Welfens

Nordmann

Seibt

2016

Journal of Cleaner Production

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This article analyses drivers and barriers to returning and recycling mobile phones and their consideration in existing communication and collection campaigns. This is an important issue based on the fact that the mobile phone market is growing rapidly. In 2015 there are nearly 7 billion global mobile cellular subscriptions. This means that, at least theoretically, everyone in the world has access to mobile communication services (ITU 2015).However, the production of mobile phones is linked to an increasing use of natural resources: the "ecological rucksack" of a mobile phone is equal to about 75 kg of resources ; while the global recycling rate of mobile phones is under 10 per cent (Nokia 2008, Tanskanen 2012.In order to adress this issue, the main factors that influence return and recycling behaviour (focussing on mobile phones) will be discussed in chapter 2 of this article. The theoretical analysis is based on the norm activation model by Ellen Matthies (2005). This analysis will be complemented by empirical data and findings generated in the research project "Return and use of

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“…The TAM posits that attitudes about technology underlie behavioral intention and use, and that perceptions of technology as both useful and easy to use have a direct and positive influence on technology attitudes. The TAM has been applied to research with ICT use, behavioral intention to use, and technology attitudes as dependent variables (Anderson, Al-Gahtani, & Hubona, 2011;Venkatesh, Morris, Davis, & Davis, 2003); specific applications include consumer behavior (Park & Ha, 2014;Yu & Park, 2014) and to professionals' technology adoption (Gagnon, Orruño, Asua, Abdeljelil, & Emparanza, 2012). According to that theory, attitude toward a behavior is determined by the beliefs about the consequences of the behavior and by an individual's affective evaluation of the consequences.…”

Section: Review Of Literaturementioning

confidence: 99%

Family Educators’ Technology Use and Factors Influencing Technology Acceptance Attitudes

Walker

2015

Family & Consum Sci Res J

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The purpose of the study was to examine family educators’ use of information and communication technology and factors that predict attitudes favorable to the adoption of technology in practice. Data were obtained from 210 family educators in the United States. Structural equation modeling tested the validity of an adapted Technology Acceptance Model to predict influences on attitudes. Descriptive statistics showed that Internet searching and cell phones were predominantly used both at work and for personal use while social media such as Facebook was used far less for work. Family educators’ attitudes toward technology use were directly related to perceived ease of use, perceived usefulness of technology, and subjective norms. Perceived ease of use and perceived usefulness mediated the influence of facilitating conditions (availability of training and assistance) and subjective norms, respectively, on attitudes. Suggestions for research and to support technology integration for family educators are offered.

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Understanding Consumer Recycling Behavior: Combining the Theory of Planned Behavior and the Norm Activation Model

Cited by 369 publications

References 38 publications

Predictors of Recycling Intentions among the Youth: A Developing Country Perspective

Predictors of Recycling Intentions among the Youth: A Developing Country Perspective

Drivers and barriers to return and recycling of mobile phones. Case studies of communication and collection campaigns

Family Educators’ Technology Use and Factors Influencing Technology Acceptance Attitudes

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