ESSEC METALAB

RESEARCH

Expanding Scientific Knowledge

ESSEC’s approach to AI, Data Science and Technology is original and reflects our strengths and tradition of excellence of research in Data Science, Economics, Management, Law and Social Sciences. Through their academic research, the 160 Research Professors at ESSEC improve society's understanding of the profound transformations caused by the advancement of science. They all prove everyday that social, economic and management sciences play a key role in fostering scientific and human progress.

Workplace & Business models

AI & Business Data Science

AI Policy & Regulation

Culture & Sustainability

IS THERE A ROLE FOR STATISTICS IN ARTIFICIAL INTELLIGENCE?

[ARTICLE] This paper highlights the critical role of statistical methodology in the development and understanding of artificial intelligence (AI), emphasizing ...

INVESTMENT IN QUALITY UPGRADE AND REGULATION OF THE INTERNET

[ARTICLE] This paper examines investment decisions by a monopolistic ISP under various regulatory scenarios, finding that unregulated ISPs favor high-quality ...

MARKETING TO THE NEXT GENERATION OF CASINO PATRONS

[ARTICLE] This study examines generational differences in marketing, gaming, and entertainment preferences within the competitive U.S. gambling industry, finding that ...

RANK-DEPENDENT UTILITY UNDER MULTIPLE PRIORS

[ARTICLE] This paper integrates nonlinear risk perception into models of decision-making under ambiguity, using rank-dependent utility to replace maxmin expected ...

INFORMATION SYSTEMS AS A NEXUS OF INFORMATION TECHNOLOGY SYSTEMS: A NEW VIEW OF INFORMATION SYSTEMS PRACTICE

[ARTICLE] This paper explores the distinction between information systems (IS) and information technology systems (IT systems). by Julien Malaurent (ESSEC Business ...

IMPACT OF REVIEW NARRATIVITY ON SALES IN A COMPETITIVE ENVIRONMENT

[ARTICLE] This paper investigates the impact of narrative aspects of online user-generated reviews on consumer decisions and sales, proposing that ...

DRIVERS OF CONSUMERS’ WILLINGNESS TO ANSWER AN EWOM SOLICITATION FOR A TIME-LIMITED OFFER

[ARTICLE] This research identifies the most effective eWOM solicitation strategy for time-limited offers, finding that soliciting well before the deadline ...

IDENTIFYING CLUSTERS AND PATTERNS OF ROAD CRASH INVOLVING PEDESTRIANS AND CYCLISTS. A CASE STUDY ON THE PROVINCE OF BRESCIA (IT)

[ARTICLE] This paper proposes a framework using hierarchical clustering to analyze and mitigate pedestrian and cyclist road crashes in urban ...

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