Collection HAL Kedge Business School
Not a member yet
2162 research outputs found
Sort by
Comité RSE et performance sociétale des enntreprises : quelle influence ont les modèles de capitalisme ?
No full textInternational audienceOur study examines the impact of CSR committees on corporate social performance (CSP) and the moderating effect of capitalism models on this relationship. Using an international sample of 2,066 firm-year observations from 2011 to 2018 across 13 countries, the study employs a multi-theoretical approach combining neo-institutional theory, stakeholder theory, and resource dependence theory. CSP is measured using two approaches: process-based (Wood, 1991) and stakeholder-based (Clarkson, 1995). Our results show that CSR committees significantly improve CSP, with a more pronounced effect in coordinated market economies (CMEs) than in liberal market economies (LMEs). This study highlights the importance of institutional factors in the effectiveness of voluntary governance mechanisms and offers implications for regulators and actors in various national contexts.Notre étude examine l’impact des comités RSE sur la performance sociale des entreprises (PSE), ainsi que l’effet modérateur des modèles de capitalisme sur cette relation. En mobilisant un échantillon international de 2 066 observations "entreprise-année" entre 2011 et 2018, couvrant 13 pays, l’étude adopte une approche pluraliste combinant la théorie néo-institutionnelle, la théorie des parties prenantes et la théorie de la dépendance aux ressources. La PSE est évaluée selon une double approche fondée sur les processus (Wood, 1991) et les parties prenantes (Clarkson, 1995). Nos résultats montrent que les comités RSE améliorent significativement la PSE, avec un effet plus prononcé dans les économies de marché coordonnées (CMEs) que dans les économies de marché libérales (LMEs). Cette étude met en lumière l’importance des facteurs institutionnels dans l’efficacité des mécanismes volontaires de gouvernance et offre des implications pour les régulateurs et les acteurs dans divers contextes nationaux
Career Bootstrapping and Catalyzing Social Change: How Individuals’ Involvement in the Design of Sustainable Finance Regulations Impact their Careers
No full textInternational audienc
Don't Let It Expire: A 2-Competitive Online Algorithm for Perishable Kit Maintenance
No full textInternational audienceWe introduce the Kit Update Problem, a new online optimization problem motivated by a real-world application at Doctors Without Borders. Emergency response kits-pre-packed sets of medical items-must be kept in a ready-to-ship state at all times. Since many items are perishable, maintaining readiness incurs both maintenance overhead (manual effort) and destruction costs (due to expired or prematurely replaced items). The objective is to minimize the cumulative cost incurred over time while ensuring that kits remain continuously operational. Our main contributions are as follows: - We show that the deterministic version of the problem is NP-hard via a reduction from Vertex Cover. The problem shares structural similarities with the well-known Joint Replenishment Problem. - We present a 2-approximation algorithm for the deterministic (offline) setting. The algorithm is simple and intuitive, relies only on local, non-predictive information, and builds on techniques inspired by the Joint Replenishment Problem. In contrast to the classical joint replenishment setting, however, our approach naturally extends to dynamic scenarios. - Leveraging the structure of this approximation algorithm, we derive a 2-competitive online policy. The resulting method is robust to uncertainty and imprecise cost estimates, making it well-suited for real-world deployment. - We evaluate the approach empirically using synthetic instances calibrated to reflect the distributional properties of real data from Doctors Without Borders. The online algorithm reduces total cost by 40% compared to current practices and performs nearly as well as a stochastic look-ahead policy requiring significantly more computational resources. The proposed policy has been adopted and integrated into the organization's operations, where it has produced similar improvements in practice
Lutte contre l’obésité : deux nouvelles mesures efficaces, The Conversation France, 7/01/25
No full textAvantages, coûts et risques de la navigation en Arctique Russe. Institut d’Études de Géopolitique Appliquée, La Revue Diplomatique, Hors-série n°1, Paris, 22-34.
No full textNational audienc
Functional and Symbolic Learning in CoPs: Impact on Community Dynamics
No full textInternational audienceWhile learning to be a member was a key theme in early research on communities of practice, subsequent work has focused on the functional dimension of learning. The cultural perspective introduced in this paper allows to consider both the symbolic and functional aspects of learning to participate in a community, and the skills this requires. By observing the social life of two inter-organizational communities of practice (that of financial analysts and that of physicians), we examine the role of totems and rituals in understanding community dynamics. We detail how to study communities of practice using a cultural approach, and we identify practical and managerial implications, including better participation
Joint dynamic pricing and marketing‐mix strategies for revenue management applications with stochastic demand
No full textInternational audienceTo attract potential customers and to effectively sell their inventories over time, retailers often invest in different marketing levers and apply dynamic pricing strategies. However, composing a profitable marketing mix in dynamic settings is challenging. The high problem complexity increases further if one seeks to account for stochastic and inventory-dependent demand, which is essential for various practical applications. In this paper, we examine such stochastic dynamic pricing and marketing models under a finite as well as an infinite time horizon. We assume that marketing dimensions, such as information advertising, design quality, and the like, are substitutes only if they are all positive; otherwise, the demand vanishes. For a reasonably general demand formulation with asymmetric multidimensions marketing, we show how to transform the multidimensional optimal control problem into a two-dimensional one, simplifying the analytical complexity. Further, for well-established cases with isoelastic and exponential demand, we present optimal closed-form solutions allowing detailed sensitivity analyses. Using numerical examples, we illustrate and analyze how optimally controlled sales processes are influenced by different model parameters and infer managerial insights. Our results provide general qualitative and quantitative insights into the complex interplay of marketing-mix controls over time
Modeling cascading effects in collaborative systems: a formal risk interdependency framework
No full textInternational audiencePurpose -This paper introduces a formal risk interdependency framework to model cascading effects in collaborative systems. By characterizing risk causal chains and propagation chains, the framework aims to provide decision-makers with a structured tool to systematically identify, analyze, and prevent cascading risks in interconnected networks.Design/methodology/approach -The framework, named the danger-risk-consequence chain, defines core componentsdanger, stake, risk, condition, and consequencealongside their causal and propagation relationships, which form the basis for risk characterization. The framework is applied through a use case in the construction supply chain to demonstrate its capacity to model cascading risks.Findings -The framework uncovers risk propagation chains that lead to cascading effects and formalizes the state evolution of these effects within collaborative systems. Through the use case, it demonstrates practical value by enabling stakeholders to visualize interrelated risks, detect vulnerabilities early, and implement targeted mitigation measures to enhance resilience against cascading disruptions.Originality/value -This study presents a novel approach to modeling cascading effects by integrating risk causality and propagation into a formalized framework. In contrast to previous research, which offers static risk definitions for risk characterization, this framework contributes to risk management theory by providing a structured method for understanding and modeling interdependencies.</div
Arctic navigation risk mapping
No full textInternational audienceWith the ice melting, maritime activity within the Arctic area has increased during the last 20 years. Most of this activity is related to the oil and gas industry, cruise vessels, supply of northern communities and fishing vessels. However, these activities are not equally distributed
Inflation and how to deal with it in France. A policy perspective from an empirical stock-flow model
No full textInternational audienceUsing an empirical stock-flow consistent (SFC) model, we simulate an imported inflationary shock to analyze the macroeconomic impacts on the French economy. Facing the risk of a profit-price-wage spiral; alternative economic policy responses are evaluated. Traditional restrictive monetary policy does not seem well-suited to fight imported inflation as the cost is significant with limited and delayed results. Increased social transfers can help workers support their loss of purchasing power. Reduced VAT can directly limit the inflation drift, but its concrete implementation may raise difficulties. These measures have a cost for public finances but are affordable if the inflation shock is temporary