Articles

A Comparative Overview of EU and US Legislative and Regulatory Systems

A. ALEMANNO, R. PARKER

Columbia Journal of European Law

Forthcoming

Departments: Tax & Law, GREGHEC (CNRS)


The aim of this report is to inform the EU-US Transatlantic Trade and Investment negotiations on enhanced regulatory coherence and cooperation, by providing negotiators, stakeholders and the public with a comparative overview of the US and EU legislative and regulatory processes in their current form, highlighting differences and similarities

A Legal Analysis of Packaging Standardisation Requirements Under EU Law - The Case of ‘Plain Packaging’ in the United Kingdom

A. ALEMANNO

Journal of Business Law

Forthcoming

Departments: Tax & Law, GREGHEC (CNRS)


A Mathematical Turn in Business Regulation: The Rise of Legal Indicators

D. RESTREPO AMARILES

International Journal of Law in Context

Forthcoming

Departments: Tax & Law


A note on 'Sourcing decisions with stochastic reliability and stochastic demand'

C. VAN DELFT, J.-P. VIAL

Production and Operations Management

Forthcoming

Departments: Operations Management & Information Technology, GREGHEC (CNRS)

Keywords: sourcing;supplier selection;random yield


This note complements the study of Burke, Carillo, and Vakharia (2009 hereafter “BCV”) which analyzes a class of single-product multisourcing problems under stochastic demand and random yields. The purpose is twofold. First, we prove that the objective function used by these authors is only a lower bound for the expected profit for which we provide the correct expression. Second, we show on some of the numerical instances provided in BCV's study that the structure and the performance of the BCV ordering policy may be substantially different from the optimal ordering policy. We conclude by giving general qualitative insights characterizing suboptimality of the BCV solution

A Two-sided Matching Approach for Partner Selection and Assessing Complementarities in Partners’ Attributes in Inter-firm Alliances

D. MINDRUTA, M. MOEEN, R. AGARWAL

Strategic Management Journal

Forthcoming

Departments: Strategy & Business Policy, GREGHEC (CNRS)

Keywords: alliances, two-sided matching, maximum score estimator, bio-pharmaceutical industry, complementarity

http://ssrn.com/abstract=2536109


Strategic alliances are undertaken to create value through complementarities of resources and capabilities of the partner firms. We develop a matching framework to study strategic alliances, taking a market perspective that explicitly incorporates key features of transactions in strategic alliances: two sided decision making in voluntary collaboration; quest for complementarities between indivisible and heterogeneous partner attributes; and competition on each side for partners on the other side. We assess the relative performance of matching models and binary choice models when estimating parameters within simulations based on a known functional relationship. Within the context of research alliances in the bio-pharmaceutical industry, we hypothesize and find support using the matching model framework for complementarity in partner size, and in upstream research capabilities