FNEGE MEDIAS
FNEGE MEDIAS
What is affordance?
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What is affordance?

Affordances are possibilities for action offered by environment: objects, artifacts, technologies. This concept was created to complement the functional view with an emphasis on users’ actions, and help identify potential failures or negative effects which the other approaches have difficulty identifying. And though this approach will never provide the creator with all potential user actions, it helps change one’s viewpoint to a more reflective one, and devise organizational designs and technologies that are safer and easier to use.

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Corporate social responsibility (CSR) is part of the larger debate on whether firms engage in CSR to promote social interests or strictly to achieve legitimacy and thus are implicitly involved in some form of greenwashing. This paper investigates the effect of CSR on tax avoidance. Based on a sample of French listed companies, the results show that firms engaging in CSR adopt tax avoidance practices. The results also show that the disciplinary roles of debt and corporate governance mitigate this positive effect. Additional evidence shows that family-owned firms overinvesting in CSR are unlikely to engage in tax avoidance for socioeconomic wealth purposes. The results are robust to alternative measures of tax avoidance and endogeneity concerns.
GAAYA Safa - EMLV |
LAKHAL Fathen - EMLV |
Our goal was to understand the effectiveness of a company in attracting its customer targets. To do this, we have developed a model that links a company’s marketing activities to the mix of customers who buy from the company. Most marketing models simply ask how a company’s marketing activities influence the number of customers who buy the brand. We wondered how a company’s marketing activities influence the types of customers who buy the brand.
SINHA Shameek - EMLV |
Not-for-profit organizations have long faced the challenge of balancing budgets when they simultaneously seek to retain and recruit new donors. In principle, existing donors can be targeted based on their previous donation data. However, for new donors, this data is not available or may be difficult to obtain from secondary sources. What should non-profit organizations do? We suggest 2 alternatives.
SINHA Shameek - EMLV |
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 |

Médias de la même thématique

This research compares student entrepreneurial ecosystems in France and Norway, focusing on how students access support, resources, and networks. In France, the system is centralized, driven by key actors like Student Hubs for Innovation, Transfer and Entrepreneurship, called PEPITE. In Norway, it is open and collaborative, with strong student associations and community ties. Using interviews and social network analysis, I explored the access and the circulation of information among actors in student entrepreneurial ecosystems. The results reveal different paths to innovation shaped by culture, policy, and education. Supporting student entrepreneurship is not just about funding or training. It’s about building inclusive ecosystems where students, mentors, and institutions work together.
HU Dijia - Faculté des Sciences Economiques et de Gestion Strasbourg |
More organizations use AI in the hiring process than ever before, yet the perceived ethicality of such processes seems to be mixed. With such variation in our views of AI in hiring, we need to understand how these perceptions impact the organizations that use it. In two studies, we investigate how ethical perceptions of using AI in hiring are related to perceptions of organizational attractiveness and innovativeness. Our findings indicate that ethical perceptions of using AI in hiring are positively related to perceptions of organizational attractiveness, both directly and indirectly via perceptions of innovativeness, with variations depending on the type of hiring method used. For instance, we find that individuals who consider it ethical for organizations to use AI in ways often considered to be intrusive to privacy, such as analyzing social media content, view such organizations as both more innovative and attractive.
FIGUEROA-ARMIJOS Maria - FNEGE |
The aim of this paper is to explore how a number of processes combined to create the micro-level strategies and procedures that resulted in the deadliest and most tragic forest fire in Portuguese history.
ABRANTES Antonio - TBS Education |
Artificial intelligence is already transforming lives and organizations. It brings a huge potential, for example, to achieve hyper-performance. Which is not about adding more trainings. But rather finding and removing obstacles from human minds. And artificial intelligence can facilitate that efficiently. It can help us to learn more about our own intelligence. Thus, giving us a unique chance to finally re-unite both intelligences.
STIBE Agnis - EM Normandie |

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