A5086733327- Environmental Sustainability in Business
- Market Dynamics and Volatility
- Sustainable Supply Chain Management
- Energy, Environment, Economic Growth
- Quality and Supply Management
- Environmental Education and Sustainability
- Supply Chain Resilience and Risk Management
- Monetary Policy and Economic Impact
- Blockchain Technology Applications and Security
- Electric Vehicles and Infrastructure
- Digital Marketing and Social Media
- Innovation and Socioeconomic Development
- Entrepreneurship Studies and Influences
- University-Industry-Government Innovation Models
- Innovation and Knowledge Management
- Natural Resources and Economic Development
- Energy and Environment Impacts
- Environmental Impact and Sustainability
- Outsourcing and Supply Chain Management
- Global Energy Security and Policy
- Innovation, Sustainability, Human-Machine Systems
- COVID-19 Pandemic Impacts
- Energy, Environment, and Transportation Policies
- Behavioral Health and Interventions
- Municipal Solid Waste Management
Montpellier Business School
2019-2025
Business France
2024
École de management de Lyon
2016
This study employs Systematic Literature Review (SLR) and thematic analysis to explore the topics of Artificial Intelligence (AI), Stakeholder Engagement (SE) social innovation. To enhance methodological rigor, integrated literature media recognize within texts using Latent Dirichlet Allocation (LDA), an unsupervised machine learning method. The highlights AI's influence on engagement, aligning with diffusion theory, stressing need emphasize benefits for faster adoption.
Abstract This study aims to identify critical success factors (CSFs) for implementing sustainability in organizational human resources management (OHRM) within the automotive sector (AS). A literature review was carried out OHRM that are instrumental significant adoption of sustainable practices (SP) sector. Based on outcomes from review, an expert team composed 17 experts AS, academia, and consultancy firms were consulted order cause–effect relationships among CSFs using a multi‐criteria...
Previous studies on location choices of MNEs have identified regional pattern foreign expansion and framed it as “semiglobalization”. We extend the semiglobalization framework service multinationals identify three conditions that cause variation in firms’ propensity to develop a semiglobal internationalization. First, we argue internationalization is contingent type region firm operates in. Multinational firms employ strategy complexity mitigating mechanism manage their within regions while...