A5081994984- Supply Chain and Inventory Management
- Quality and Supply Management
- Sustainable Supply Chain Management
- Working Capital and Financial Performance
- Consumer Market Behavior and Pricing
- Law, Economics, and Judicial Systems
- Corporate Finance and Governance
- Decision-Making and Behavioral Economics
- Healthcare Policy and Management
- Auction Theory and Applications
- Collaboration in agile enterprises
- Organizational Learning and Leadership
- Supply Chain Resilience and Risk Management
- Public Procurement and Policy
- Outsourcing and Supply Chain Management
Institut d'Economie Scientifique Et de Gestion
2023-2024
Université Catholique de Lille
2023
Université de Lille
2023
CY Cergy Paris Université
2018
École Supérieure des Sciences Économiques et Commerciales
2018
Purpose The purpose of this paper is to investigate whether implementing certain innovation strategies and adopting a portfolio innovations improve the relationship between supplier integration (SI) operational performance (OP). Design/methodology/approach authors test several research hypotheses by using data set 173 firms. Data were collected interviewing managers, presidents directors, from ten European countries across nine different industries. use structural equation modeling estimate...
This article investigates a setting where the retailer invests costly effort to shape demand, such as reducing demand fluctuation through demand–control or increasing levels with demand–promotion effort. We explore preference bias between these two types and examine impact of on profit performance. The experimental findings reveal that actual investments exhibit significant for promotion in low-profit condition, while no is observed high-profit condition. behavioral pattern can be captured...
Abstract This paper investigates a supply chain governed by flat penalty service‐level contract in which missing the target fill rate can lead to costly operational disruption. We focus on near‐miss bias: (1) preference for events, that is, risky production quantities reach but narrowly avoid disruption; and (2) riskier decision‐making due such preferences. propose reference‐dependent behavioral model explains bias. The findings of laboratory experiment show are evaluated based realized...
This paper investigates a supply chain governed by flat penalty service-level contract in which missing the target fill rate can lead to costly operational disruption. We focus on near-miss bias: (1) preference for events, i.e., risky production quantities that reach but narrowly avoid disruption, and (2) riskier decision-making due such preferences. propose reference-dependent behavioral model explains bias. The findings of laboratory experiment show are evaluated based realized profits...