Big Data and Competition Policy: Market Power, Personalised Pricing and Advertising

Streel, Alexandre de; Graef, Inge

doi:10.2139/ssrn.2920301

Cited by 36 publications

(25 citation statements)

References 45 publications

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“…De la même façon, des entreprises concurrentes, même dotées de positions de marché hétérogènes, peuvent avoir intérêt à échanger des informations sur leurs clients respectifs de façon à affiner leurs stratégies respectives de discrimination tarifaire (De Nijs, 2017). Il apparaît en outre qu'un des effets de la discrimination est de réduire paradoxalement la pression exercée par les consommateurs sur les firmes concurrentes, et donc l'intensité concurrentielle, en réduisant leurs capacités à comparer les prix (Bourreau et al, 2017).…”

Section: Pour Autant Quel Est L'impact Des Discriminations Tarifairesunclassified

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Plateformes numériques, algorithmes et discrimination

Marty¹

2020

Revue De l'OFCE

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Distribution électronique Cairn.info pour OFCE. © OFCE. Tous droits réservés pour tous pays.La reproduction ou représentation de cet article, notamment par photocopie, n'est autorisée que dans les limites des conditions générales d'utilisation du site ou, le cas échéant, des conditions générales de la licence souscrite par votre établissement. Toute autre reproduction ou représentation, en tout ou partie, sous quelque forme et de quelque manière que ce soit, est interdite sauf accord préalable et écrit de l'éditeur, en dehors des cas prévus par la législation en vigueur en France. Il est précisé que son stockage dans une base de données est également interdit. Powered by TCPDF (www.tcpdf.org) Document téléchargé depuis www.cairn.info ---44.224.250.200 -16/07/2020 04:10 -© OFCE Document téléchargé depuis www.cairn.info ---44.224.250.200 -16/07/2020

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Section: Pour Autant Quel Est L'impact Des Discriminations Tarifairesunclassified

“…Pour Bourreau et al (2017), le versioning correspond en lui-même à une modalité de discrimination. Il peut d'ailleurs se décliner en deux modèles.…”

Section: C) La Discrimination Hors Prix Et Manipulation Algorithmiqueunclassified

Plateformes numériques, algorithmes et discrimination

Marty¹

2020

Revue De l'OFCE

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“…The ambiguous effects of price discrimination on consumers' welfare show that there is no reason to ban a priori forms of personalised pricing in digital markets (Bourreau et al 2017). As argued in the following sections, the case-by-case approach followed by EU competition rules might be more suitable to tackle the issues generated by personalised pricing than an omnibus regulation: only a dominant firm that has a substantial degree of market power, in fact, is subject to the constraints of Art.…”

Section: Impact On Consumers' Welfarementioning

confidence: 99%

To discriminate or not to discriminate? Personalised pricing in online markets as exploitative abuse of dominance

Botta

Wiedemann

2019

Eur J Law Econ

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The advent of big data analytics has favoured the emergence of forms of price discrimination based on consumers' profiles and their online behaviour (i.e. personalised pricing). The paper analyses this practice as a possible exploitative abuse by dominant online platforms. The paper argues that, in view of its "mixed" effect on consumers' welfare, personalised pricing requires a case-by-case assessment under EU competition law and thus it should not be banned a priori. However, in view of the recent case law of the European Court of Justice on price discrimination, the National Competition Authorities (NCAs) and the European Commission would face a high burden of proof to sanction this conduct under Art. 102(c) TFEU. Finally, the paper argues that, due to its case-by-case approach, competition law seems more suitable than omnibus regulation to tackle the negative effects that personalised pricing could have on consumers' welfare. In particular, an NCA/the European Commission could negotiate with online platforms different kinds of behavioural commitments: transparency requirements, limits on data collection/user profiling, rights to opt out of personalised pricing and the obligation to share customers' data with competitors could significantly tame the risks of personalised pricing.

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“…And a further challenge for media organizations is how to evolve systems of data management that comply with relevant legal frameworks which, in some cases at least -e.g. in the European Union which is transitioning to the General Data Protection Regulation in May 2018 (Bourreau et al 2017) -are undergoing change in response to public concerns about the potentially harmful implications of large-scale data mining.…”

Section: From Fringes To Foregroundmentioning

confidence: 99%

“…Albeit that, as Athique points out, 'those outraged by the privacy implications of what is essentially a world-spanning phone tap operation are commonly reminded of the old adage: "If its free then you're the product"' (2017: 5), the hidden costs of supposedly free goods may not always be apparent to consumers. From the perspective of public policy-making, weighing up the benefits of effective targeting and lower prices for online services against the adverse effects of loss of privacy and/or the nuisance of intrusive advertisements involve trade-offs that are complex (Bourreau et al 2017).…”

Section: From Fringes To Foregroundmentioning

confidence: 99%

Television and the development of the data economy: Data analysis, power and the public interest

Doyle

2018

International Journal of Digital Television

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Data analysis is steadily becoming more central to management decision-making in media organizations across the globe. The reliance of subscription video on demand (SVoD) services, such as Netflix, on data analytics to underpin decisions about new content investment is well-established. However, what are the key opportunities and challenges facing the rest of the television industry? This article examines how data analysis is facilitating improved methods of personalization and more effective intelligence about the relative appeal of content for differing audience segments. But growing reliance on big data also raises a number of critical public interest questions. This article highlights how data is now a key source of competitive advantage in the television industry and a resource that can be monopolized. It argues that media policy-making needs to pay more attention to the emergence and implications of asymmetries of power in relation to ownership and use of data in managerial decision-making.

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Big Data and Competition Policy: Market Power, Personalised Pricing and Advertising

Cited by 36 publications

References 45 publications

Plateformes numériques, algorithmes et discrimination

Plateformes numériques, algorithmes et discrimination

To discriminate or not to discriminate? Personalised pricing in online markets as exploitative abuse of dominance

Television and the development of the data economy: Data analysis, power and the public interest

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