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Angeline Gautami Fernando

Researcher at Great Lakes Institute of Management

Publications -  9
Citations -  194

Angeline Gautami Fernando is an academic researcher from Great Lakes Institute of Management. The author has contributed to research in topics: Product type & Greenwashing. The author has an hindex of 5, co-authored 8 publications receiving 115 citations. Previous affiliations of Angeline Gautami Fernando include Anna University.

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If You Blog, Will They Follow? Using Online Media to Set the Agenda for Consumer Concerns on “Greenwashed” Environmental Claims

TL;DR: In this article, the authors investigate if consumers' online opinions on greenwashing advertisements are influenced by the agenda set by online newspaper articles and environmental nongovernmental organization (NGO) blogs.
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Online or in-store: unravelling consumer’s channel choice motives

TL;DR: In this article, the authors compare online and in-store shoppers motivations based on product type, using a means-end approach to extract motivational factors that drive shoppers channel choice for hedonic and utilitarian products.
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Comparison of perceived acquisition value sought by online second-hand and new goods shoppers

TL;DR: In this article, a conceptual framework linking perceived uncertainty, perceived acquisition value and e-loyalty was developed and tested using structural equation modeling, and the moderating effects of product type (new vs second-hand) and frugality were also included.
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Nature of green advertisements in India: Are they greenwashed?

TL;DR: In this article, a systematic content analysis of Indian English green print advertisements for the years 2010 and 2011 to verify if greenwashing is prevalent was performed, and the results indicated that 51.7% of the claims were greenwashed and most of them were vague or ambiguous.
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Message involvement and attitude towards green advertisements

TL;DR: In this paper, the authors show that message involvement influences attitude towards green advertisements and that advertisers can use these variables to increase message involvement, which in turn is a significant predictor of attitude towards the advertisement.