ESSEC METALAB

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.

ASSIGNING TOPICS TO DOCUMENTS BY SUCCESSIVE PROJECTIONS

ASSIGNING TOPICS TO DOCUMENTS BY SUCCESSIVE PROJECTIONS

[ARTICLE] This paper introduces the Successive Projection Overlapping Clustering (SPOC) algorithm for efficiently organizing text corpora into topics, providing theoretical ...
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ON THE ZERO-INVENTORY-ORDERING POLICY IN THE INVENTORY ROUTING PROBLEM

ON THE ZERO-INVENTORY-ORDERING POLICY IN THE INVENTORY ROUTING PROBLEM

[ARTICLE] This study compares two inventory routing strategies: Maximum Level (ML) which prioritizes minimizing total cost and Zero-Inventory-Ordering (ZIO) which ...
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PASSIVEPY: A TOOL TO AUTOMATICALLY IDENTIFY PASSIVE VOICE IN BIG TEXT DATA

PASSIVEPY: A TOOL TO AUTOMATICALLY IDENTIFY PASSIVE VOICE IN BIG TEXT DATA

[ARTICLE] This paper introduces a new, highly accurate automated tool (PassivePy) to analyze passive voice in large datasets and explores ...
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THE INVENTORY ROUTING PROBLEM WITH SPLIT DELIVERIES

THE INVENTORY ROUTING PROBLEM WITH SPLIT DELIVERIES

[ARTICLE] This research investigates how allowing deliveries to be split across multiple trips can improve inventory routing efficiency. by Claudia Archetti (ESSEC ...
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ON SOCP-BASED DISJUNCTIVE CUTS FOR SOLVING A CLASS OF INTEGER BILEVEL NONLINEAR PROGRAMS

ON SOCP-BASED DISJUNCTIVE CUTS FOR SOLVING A CLASS OF INTEGER BILEVEL NONLINEAR PROGRAMS

[ARTICLE] This study improves solving complex decision-making problems with two parties (bilevel) by introducing new methods that outperform existing ones ...
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BENDERS ADAPTIVE-CUTS METHOD FOR TWO-STAGE STOCHASTIC PROGRAMS

BENDERS ADAPTIVE-CUTS METHOD FOR TWO-STAGE STOCHASTIC PROGRAMS

[ARTICLE] This research improves a method (Benders decomposition) for solving complex problems with many possible future outcomes (two-stage stochastic problems) ...
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FAST FILTERING WITH LARGE OPTION PANELS: IMPLICATIONS FOR ASSET PRICING

FAST FILTERING WITH LARGE OPTION PANELS: IMPLICATIONS FOR ASSET PRICING

[ARTICLE] This study explores a new method (particle MCMC) for estimating complex option pricing models that involve hidden factors (latent ...
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THE BENEFIT OF COMPLETE  TRIP INFORMATION IN FREE- FLOATING CARSHARING SYSTEMS

THE BENEFIT OF COMPLETE  TRIP INFORMATION IN FREE- FLOATING CARSHARING SYSTEMS

[ARTICLE] This research analyzes a carsharing system where users can pick up cars without reservations (instant-access) and park them anywhere ...
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