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Author: David Birget
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
In a context where more and more personal data is gathered by companies thanks to the rise of social networks, the internet of things, e-commerce and many other online services, it is interesting to explore how this data can be used profitably by different businesses. One potential application is to use online data to estimate the willingness to pay of consumers in order to implement personalised pricing. The goal of this thesis is threefold. First of all, I investigate to what extend price discrimination is already being used online. Secondly, I analyse the future economic potential of personalised pricing in the light of the recent progress in data collection and analytics. Thirdly, I examine the economic implications for different stakeholders resulting from a hypothetical large-scale use of personalised pricing by online shops. In this context, I also review current regulation and suggest potential improvements.
Author: David Birget
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
In a context where more and more personal data is gathered by companies thanks to the rise of social networks, the internet of things, e-commerce and many other online services, it is interesting to explore how this data can be used profitably by different businesses. One potential application is to use online data to estimate the willingness to pay of consumers in order to implement personalised pricing. The goal of this thesis is threefold. First of all, I investigate to what extend price discrimination is already being used online. Secondly, I analyse the future economic potential of personalised pricing in the light of the recent progress in data collection and analytics. Thirdly, I examine the economic implications for different stakeholders resulting from a hypothetical large-scale use of personalised pricing by online shops. In this context, I also review current regulation and suggest potential improvements.
Author: Benjamin Reed Shiller
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Ramsi Woodcock
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Antitrust guarantees a particular distribution of wealth between consumers and producers. Big data allows firms with pricing power to identify the highest price a consumer is willing to pay for a good and charge it to her. The practice upends the current distribution of wealth by allowing firms to charge the highest possible prices to everyone. Current antitrust rules cannot respond because they proscribe the formation, but not the exercise, of pricing power. Two options preserve the current distribution of wealth. One is deconcentration of industry. The other is use by government of big data to set prices.
Author: Benjamin Reed Shiller
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Diana Simpson
Publisher: Nova Science Publishers
ISBN: 9781634853187
Category : Analysemetoder
Languages : en
Pages : 0
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Book Description
As the use of online technologies and digital engagement by consumers has expanded, the amount of consumer data that flows throughout the economy has increased. The analysis of this information can guide the development of products and services but concerns have been raised about whether certain uses of big data analytics may harm consumers. This book discusses the benefits and risks created by the use of big data analytics, the application of equal opportunity and consumer protection laws to big data, considerations for business and policy considerations raised by big data research. The book also discusses big data and differential pricing.
Author: Louis-Daniel Pape
Publisher:
ISBN:
Category : Big data
Languages : en
Pages : 84
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Book Description
We use a unique dataset from a mobile puzzle game to investigate the welfare consequences of price discrimination. We rely on experimental variation to characterize player behavior and estimate a model of demand for game content. Our counterfactual simulations show that optimal uniform pricing would increase profit by +340% with respect to the game developer's observed pricing. This is almost the same as the increase in profit associated with first-degree price discrimination (+347%). All pricing strategies considered-including optimal uniform pricing-would induce a transfer of surplus from players to game developer without, however, generating sizeable dead-weight losses.
Author: Noby Thomas Cyriac
Publisher: Nomos Verlag
ISBN: 3748934718
Category : Law
Languages : en
Pages : 322
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Book Description
Der Autor untersucht interdisziplinär, inwieweit Art. 102 AEUV geeignet ist, den Wettbewerb vor dem missbräuchlichen Verhalten marktbeherrschender Plattformen zu schützen. Nach einer ersten Erörterung der Grundlagen der digitalen Wirtschaft, insbesondere Big Data und mehrseitige Plattformen, werden die relevanten Konzepte, die von EU-Kommission und EU-Gerichten in ihrer Entscheidungspraxis zur Auslegung von Art. 102 AEUV entwickelt wurden, näher beleuchtet, um ihre Eignung für das Missbrauchsverbot mit Blick auf Plattformbetreiber vor dem Hintergrund der Besonderheiten mehrseitiger Märkte zu bewerten. Auch das Vorhandensein und die Abgrenzung eines Datenmarktes werden diskutiert.
Author: Pietro Reho
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
The master thesis has the objective to describe and analyse the impact of technologies drastic improvements over firm's strategical behaviour. First-degree price discrimination has been considered for centuries as a mirage to apply in competitive markets, due to consumer's differentiated tastes and preferences over goods. On the other hand, the last decades have led to an exponential growth in machine learning performance and computer technologies. Such unexpected evolution permits firms to manipulate an increasing amount of data, and enlarge their perspectives on customer's reservation price knowledge. Here lies one of the greatest challenges of the new era: how could emerging technologies change the way firms set their price to consumers? The proposed master thesis aims to explore this uncovered topic, and present a global overview of pricing policies consumers are about to face with the Big data revolution.
Author: George Charlson
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Executive Office of the President
Publisher: CreateSpace
ISBN: 9781503016446
Category : Political Science
Languages : en
Pages : 84
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Book Description
Since the first censuses were taken and crop yields recorded in ancient times, data collection and analysis have been essential to improving the functioning of society. Foundational work in calculus, probability theory, and statistics in the 17th and 18th centuries provided an array of new tools used by scientists to more precisely predict the movements of the sun and stars and determine population-wide rates of crime, marriage, and suicide. These tools often led to stunning advances. In the 1800s, Dr. John Snow used early modern data science to map cholera “clusters” in London. By tracing to a contaminated public well a disease that was widely thought to be caused by “miasmatic” air, Snow helped lay the foundation for the germ theory of disease.Gleaning insights from data to boost economic activity also took hold in American industry. Frederick Winslow Taylor's use of a stopwatch and a clipboard to analyze productivity at Midvale Steel Works in Pennsylvania increased output on the shop floor and fueled his belief that data science could revolutionize every aspect of life.2 In 1911, Taylor wrote The Principles of Scientific Management to answer President Theodore Roosevelt's call for increasing “national efficiency”: Today, data is more deeply woven into the fabric of our lives than ever before. We aspire to use data to solve problems, improve well-being, and generate economic prosperity. The collection, storage, and analysis of data is on an upward and seemingly unbounded trajectory, fueled by increases in processing power, the cratering costs of computation and storage, and the growing number of sensor technologies embedded in devices of all kinds. In 2011, some estimated the amount of information created and replicated would surpass 1.8 zettabytes. In 2013, estimates reached 4 zettabytes of data generated worldwide.
