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Tag "e-commerce"

Paying for online reviews backfires among socially influential

    Paying for online reviews backfires among socially influential

Online user reviews have become an essential tool for consumers who increasingly rely on them to evaluate products and services before purchase. The business models of online review platforms such as Yelp and TripAdvisor and e-commerce sites such as Amazon and Expedia critically depend on them. Should such sites pay users to encourage them to write reviews?

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E-commerce platforms should focus on sellers, not buyers

    E-commerce platforms should focus on sellers, not buyers

E-commerce platforms such as Uber and eBay, which link sellers and buyers, face the perennial dilemma of what is more lucrative, supporting the needs of the buyers or the sellers.

The traditional belief has been that it is more important to focus on buyers, who create demand, than on sellers. A forthcoming study in the INFORMS journal Marketing Science, sheds new light on this dilemma with the discovery that sellers are in fact 3.5 times more impactful than buyers in driving growth of e-commerce platforms.

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Executive Edge: Six ways of value-creation through analytics in E-commerce

July/August 2014 By Rohit Tandon and Shruti Upadhyay Increasing popularity and access to the Internet has changed the way marketers are interacting with customers. These customers are smart, well informed

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Headlines

Challenges facing supply chain execs: leadership, labor, legacy technology

While most companies recognize the value of a digitally enabled supply chain – empowered by new technologies like artificial intelligence, blockchain, big data and analytics – many chief supply chain officers (CSCOs) are not leveraging their C-suite counterparts to help reinvent the supply chain function and transform it into an engine of new growth models and customer experiences, according to new research from Accenture. Read more →

Data Science Bowl: Using AI to accelerate life-saving medical research

Imagine unleashing the power of artificial intelligence to automate a critical component of biomedical research, expediting life-saving research in the treatment of almost every disease from rare disorders to the common cold. This could soon be a reality, thanks to the fourth Data Science Bowl, a 90-day competition in which, for the first time, participants trained deep learning models to examine images of cells and identify nuclei, regardless of the experimental setup – and without human intervention. Read more →

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