This article explores the contribution of psychological entrepreneurial support, based on same-gender group mentoring, to the strengthening of female entrepreneurial intention in the specific context of a women-only incubator. According to the literature on female entrepreneurship, women entrepreneurs are faced with specific challenges that influence their entrepreneurial intention such as a lack of self-confidence, caused by gender stereotypes, and conflict between family life and entrepreneurial career. More precisely, our research aims to determine how psychological entrepreneurial support is implemented in the incubation process to overcome these specific challenges, and the mechanisms for strengthening female entrepreneurial intention analyzed at both intrapersonal and interpersonal levels. We discuss the implications of our findings on related research into business incubators and the design of mentoring programs adapted to the needs of women entrepreneurs.

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Robotic warehouses have transformed logistics, prioritizing speed and efficiency. However, traditional static priority systems often leave low-priority customers facing excessive delays, raising concerns about fairness. This research, based on Invia, a robotic warehouse company, proposes a dynamic priority allocation model to balance efficiency and fairness. By adjusting order priorities over time, this approach ensures that both high-priority and long-waiting low-priority orders receive timely fulfillment. Through stochastic modeling and simulations, we demonstrate that dynamic prioritization reduces delays compared to static and first-come, first-served (FCFS) models. Case studies in e-commerce and healthcare logistics illustrate the broader impact of fairness in automation. As industries increasingly rely on AI-driven decision-making, the balance between efficiency and equity becomes critical. This research challenges the assumption that robotic warehouses should optimize for speed alone and advocates for a future where fairness plays a central role in automated commerce.
YUAN Zhe - EMLV |
- Research
- Digital Transformation, Logistics and Supply Chain