Journal of Management Information Systems
Turmoil, transparency, and tea: evaluating the impact of IT on London's Stock Exchange
Strategic information technology management
Journal of Management Information Systems
The emerging role of electronic marketplaces on the Internet
Communications of the ACM
Reducing buyer search costs: implications for electronic marketplaces
Management Science - Special issue: Frontier research on information systems and economics
Information rules: a strategic guide to the network economy
Information rules: a strategic guide to the network economy
Digital Marketing: Global Strategies from the World's Leading Experts
Digital Marketing: Global Strategies from the World's Leading Experts
One-to-One Web Marketing: Build a Relationship Marketing Strategy One Customer at a Time with Cdrom
One-to-One Web Marketing: Build a Relationship Marketing Strategy One Customer at a Time with Cdrom
Capital One: Exploiting an Information-Based Strategy
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Hyper-Differentiation Strategies: Delivering Value, Retaining Profits
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 8 - Volume 8
Product information dissemination in the internet and markets for product information
Product information dissemination in the internet and markets for product information
Self-selection, slipping, salvaging, slacking, and stoning: the impacts of negative feedback at eBay
Proceedings of the 6th ACM conference on Electronic commerce
Reputation Mechanism Design in Online Trading Environments with Pure Moral Hazard
Information Systems Research
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Journal of Management Information Systems - Special section: Strategic and competitive information systems
The Long Tail: Why the Future of Business Is Selling Less of More
The Long Tail: Why the Future of Business Is Selling Less of More
When Online Reviews Meet Hyperdifferentiation: A Study of the Craft Beer Industry
Journal of Management Information Systems
How Information Changes Consumer Behavior and How Consumer Behavior Determines Corporate Strategy
Journal of Management Information Systems
Journal of Management Information Systems
The complex problem of monetizing virtual electronic social networks
Decision Support Systems
Journal of Management Information Systems
Electronic Commerce Research and Applications
An enhanced model framework of personalized material flow services
Information Technology and Management
Business Network-Based Value Creation in Electronic Commerce
International Journal of Electronic Commerce
Product Reviews and Competition in Markets for Repeat Purchase Products
Journal of Management Information Systems
Journal of Management Information Systems
À la carte pricing and price elasticity of demand in air travel
Decision Support Systems
Electronic Commerce Research and Applications
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As truly informed consumers are increasingly able to find exactly what they want and willing to pay premium prices to obtain products with perfect fit for them, companies have responded with new product portfolio strategies and new pricing strategies, based on the concepts of resonance marketing and hyperdifferentiation. This is not just consumers' pursuit of products that are better, but rather better for them. It is not trading up, but rather trading out. In this paper we offer a more complete explanation of changes in consumer behavior, based on consumers' new-found informedness, and an understanding of consumers' pursuit of products that truly meet their individual wants and needs, cravings and longings. This paper also contributes to a deeper understanding of how online reviews are linked to sales. Recent empirical studies suggest that consumers use information in different ways in different shopping experiences, and that consumers' purchasing behavior varies across different online shopping experiences; consequently, the best predictors of the success of different online products will therefore vary depending on what consumers are buying and why and how they are buying it.