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Alokparna Basu Monga

Researcher at University of South Carolina

Publications -  7
Citations -  752

Alokparna Basu Monga is an academic researcher from University of South Carolina. The author has contributed to research in topics: Brand extension & Corporate social responsibility. The author has an hindex of 5, co-authored 7 publications receiving 661 citations.

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Doing Poorly by Doing Good: Corporate Social Responsibility and Brand Concepts

TL;DR: In this article, the authors investigate how brand concepts may influence consumer responses to corporate social responsibility (CSR) activities and reveal that communicating the CSR actions of a luxury brand concept causes a decline in evaluations, relative to control.
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What Makes Brands Elastic? The Influence of Brand Concept and Styles of Thinking on Brand Extension Evaluation

TL;DR: In this article, the authors examine consumers' style of thinking (analytic versus holistic thinking) to better understand the elasticity of prestige versus functional brands, and they find that holistic thinkers provide more favorable responses to distant extensions than analytic thinkers.
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When does negative brand publicity hurt? The moderating influence of analytic versus holistic thinking

TL;DR: This paper explored the impact of processing style on mitigating the effects of negative publicity and found that holistic thinkers are less susceptible to negative publicity information than are analytic thinkers, while analytic thinkers are more likely to consider external context-based explanations for the negative publicity, resulting in little or no revision of beliefs about the parent brand.
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The Influence of Mating Mind-Sets on Brand Extension Evaluation

TL;DR: In this paper, the authors focus on mating mind-sets (i.e., thinking about a mate) triggered by the external situation, which can influence brand extension evaluations, particularly for men.

Understanding Cultural Differences in Brand Extension Evaluation: The Influence of Analytic versus Holistic Thinking

TL;DR: Brand extensions that are higher in perceived perceived fit are typically evaluated more favorably than are those that are viewed as poor   as discussed by the authors.