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Animesh Animesh
Researcher at McGill University
Publications - 43
Citations - 1497
Animesh Animesh is an academic researcher from McGill University. The author has contributed to research in topics: Social media & Business value. The author has an hindex of 13, co-authored 41 publications receiving 1284 citations. Previous affiliations of Animesh Animesh include University of Maryland, College Park & Desautels Faculty of Management.
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An odyssey into virtual worlds: exploring the impacts of technological and spatial environments on intention to purchase virtual products
TL;DR: It is found that flow mediates the impacts of technological and spatial environments on intention to purchase virtual products.
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Research Note---Social Interactions and the “Digital Divide”: Explaining Variations in Internet Use
TL;DR: It is found that widespread Internet use among people who live in proximity has a direct effect on an individual's propensity to go online, and strong evidence of peer effects is provided, suggesting that individual Internet use is influenced by local patterns of usage.
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Competing “Creatively” in Sponsored Search Markets: The Effect of Rank, Differentiation Strategy, and Competition on Performance
TL;DR: In this paper, the authors develop and test a model that predicts the clickthrough rate (CTR) of a seller's listing in a sponsored search setting, and find that the effect on CTR of a firm's positioning strategy and its rank in a listing is strongly moderated by its ability to differentiate itself from adjacent rivals.
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Social Interactions and the "Digital Divide": Explaining Regional Variations in Internet Use
TL;DR: In this article, the authors argue that individual choice is subject to social influence, and that such "peer effects" are the cause of the excess variation in Internet usage in the United States.
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The relationship between information technology capability, inventory efficiency, and shareholder wealth: : A firm-level empirical analysis
TL;DR: In this paper, the authors provide a conceptual model outlining the relationship between IT capability, inventory efficiency, and stock market returns and risk and evaluate the model using secondary information on firms from multiple industries across the 10-year time period of 2000-2009.