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Marc Lenglet

Researcher at NEOMA Business School

Publications -  19
Citations -  128

Marc Lenglet is an academic researcher from NEOMA Business School. The author has contributed to research in topics: Performative utterance & Variety (cybernetics). The author has an hindex of 5, co-authored 19 publications receiving 93 citations. Previous affiliations of Marc Lenglet include European Business School London & European Business School Paris.

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On Studying Algorithms Ethnographically: Making Sense of Objects of Ignorance

TL;DR: A typology for various interpretations of algorithms as ethnographic objects is developed, accounting for their structural ignorance and shedding light on a continuum of the changing human-machine/trader-algorithm relation.
BookDOI

The Making of Finance : Perspectives from the Social Sciences

TL;DR: In this article, the authors present an edited collection of contributions from authors working within the social studies of finance (SSOF) tradition, a research programme that emerged twenty years ago, with the aim of addressing a diversity of financial fieldworks and related theoretical questions.
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Global Regulations for a Digital Economy: Between New and Old Challenges

TL;DR: In this article, the authors argue that not all digital technologies pose the same challenges for public regulators, and they provide a typology of digital technologies that importantly highlights how different technical artifacts affect differently local, national, regional and global distributions of power.

The Rise and Fall of the Compliance Function. A Perspective on Internal Control in Banking and Finance

TL;DR: In this article, the authors propose an etude des evolutions subies par la fonction deontologie au sein des etablissements de credit and des entreprises d'investissement entre 2003 and 2006.
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Algorithmic Finance, Its Regulation, and Deleuzean Jurisprudence: A Few Remarks on a Necessary Paradigm Shift

TL;DR: In this paper, the authors put into perspective the practice of financial regulation in contemporary financial markets, while a new normative order has emerged, heralded by algorithmic technologies, which changes the conditions for the exercise of regulation: to date, it has not yet been fully acknowledged nor understood by regulatory bodies.