In this Essay, we seek to systematically explore and understand crucial aspects of the dark side of personalized business to consumer (B2C) transactions. We identify three areas of concern. First, businesses increasingly engage in first-degree price discrimination, siphoning rents from consumers. Second, firms exploit widespread or idiosyncratic behavioral biases of consumers in a systematic fashion. And third, businesses use microtargeted ads and recommendations to shape consumers’ preferences and steer them into a particular consumption pattern. Siphoning rents, exploiting biases, and shaping preferences appear to be relatively distinct phenomena. However, these phenomena share a common underlying theme: the exploitation of consumers or ...
First published online : 09 December 2019The advent of big data analytics has favoured the emergence...
We study personalized pricing (or first-degree price discrimination) in a general oligopoly model. I...
Traditionally, it was not feasible for businesses to determine the maximum price the buyer was willi...
Sellers are increasingly utilizing big data and sophisticated algorithms to price discriminate among...
Firms increasingly use artificial intelligence (AI) and massive amounts of data to target consumers,...
Advances in information technologies have increasingly enabled firms to use consumers' past purchasi...
The shift towards the use of algorithms in business has transformed merchant-consumer interactions. ...
"Behavior-based personalization" has gained popularity in recent years, whereby businesses offer per...
This paper studies how product customization and consumer privacy affect a monopolist’s incentives t...
We study a bilateral trade setting in which a buyer has private valuations over a multi-product sell...
Two friends separately try to buy online the exact same item from the exact same retailer—but they p...
Price discrimination gets a bad rap. It is associated with the exploitation of monopoly power and wi...
CAT: ManagementOperations Research & Management ScienceInternational audienceThis paper investigates...
While algorithms bring about benefits for consumers in the form of more efficient price setting, the...
The first essay of this doctoral dissertation empirically measures the business value of personaliza...
First published online : 09 December 2019The advent of big data analytics has favoured the emergence...
We study personalized pricing (or first-degree price discrimination) in a general oligopoly model. I...
Traditionally, it was not feasible for businesses to determine the maximum price the buyer was willi...
Sellers are increasingly utilizing big data and sophisticated algorithms to price discriminate among...
Firms increasingly use artificial intelligence (AI) and massive amounts of data to target consumers,...
Advances in information technologies have increasingly enabled firms to use consumers' past purchasi...
The shift towards the use of algorithms in business has transformed merchant-consumer interactions. ...
"Behavior-based personalization" has gained popularity in recent years, whereby businesses offer per...
This paper studies how product customization and consumer privacy affect a monopolist’s incentives t...
We study a bilateral trade setting in which a buyer has private valuations over a multi-product sell...
Two friends separately try to buy online the exact same item from the exact same retailer—but they p...
Price discrimination gets a bad rap. It is associated with the exploitation of monopoly power and wi...
CAT: ManagementOperations Research & Management ScienceInternational audienceThis paper investigates...
While algorithms bring about benefits for consumers in the form of more efficient price setting, the...
The first essay of this doctoral dissertation empirically measures the business value of personaliza...
First published online : 09 December 2019The advent of big data analytics has favoured the emergence...
We study personalized pricing (or first-degree price discrimination) in a general oligopoly model. I...
Traditionally, it was not feasible for businesses to determine the maximum price the buyer was willi...