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Predicting Use of GoodGuide.com Consumer Product Sustainability Information Using VBN Theory and NEP Scale

Predicting Use of GoodGuide.com Consumer Product Sustainability Information Using VBN Theory and NEP Scale

Rebecca Angeles
Copyright: © 2015 |Pages: 25
ISBN13: 9781466681477|ISBN10: 1466681470|EISBN13: 9781466681484
DOI: 10.4018/978-1-4666-8147-7.ch012
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MLA

Angeles, Rebecca. "Predicting Use of GoodGuide.com Consumer Product Sustainability Information Using VBN Theory and NEP Scale." Artificial Intelligence Technologies and the Evolution of Web 3.0, edited by Tomayess Issa and Pedro Isaías, IGI Global, 2015, pp. 248-272. https://doi.org/10.4018/978-1-4666-8147-7.ch012

APA

Angeles, R. (2015). Predicting Use of GoodGuide.com Consumer Product Sustainability Information Using VBN Theory and NEP Scale. In T. Issa & P. Isaías (Eds.), Artificial Intelligence Technologies and the Evolution of Web 3.0 (pp. 248-272). IGI Global. https://doi.org/10.4018/978-1-4666-8147-7.ch012

Chicago

Angeles, Rebecca. "Predicting Use of GoodGuide.com Consumer Product Sustainability Information Using VBN Theory and NEP Scale." In Artificial Intelligence Technologies and the Evolution of Web 3.0, edited by Tomayess Issa and Pedro Isaías, 248-272. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8147-7.ch012

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Abstract

The chapter focuses on the use of information provided by an Online Environmental Infomediary (OEI), GoodGuide.com, to advise consumers on the overall and specific sustainability attributes of personal care and household chemical and food products. This chapter seeks to predict the willingness of consumers to be influenced by GoodGuide.com information in their purchases and to influence others as well with this information using the Value-Belief-Norm (VBN) theory and the New Environmental Paradigm (NEP) scale. An experiment was applied to a sample of both undergraduate and graduate students at the Faculty of Business Administration, University of New Brunswick Fredericton, Canada. Data analysis using a series of stepwise multiple regressions was used in this study. Study results indicate the usefulness of both theoretical frameworks in understanding consumer predisposition to use OEI-provided information and the potential of social networking and use of mobile devices and apps in facilitating access and use of green information.

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