- Marketing
- E-commerce
- E-government
- +۵ مورد دیگر
Stéphane Gauvin is a Full Professor in the Marketing Department at Université Laval's Faculty of Business Administration, where he maintains an active research program examining technology adoption across public and private sectors. His work bridges marketing theory, e-government implementation, and digital policy analysis with current affiliations including ongoing university research and historical collaborations with Quebec government agencies. His educational foundation includes a Doctor of Economics in Marketing (Ph.D.) from Pennsylvania State University, complemented by a Master of Science in Marketing from the University of Sherbrooke and a Bachelor of Business Administration in Marketing from the same institution. This tripartite business education anchors his applied research approach. Professor Gauvin's research centers on technology adoption dynamics across three interconnected domains: e-government implementation (evidenced by 12+ Quebec government reports 2005-2012), digital ecosystem analysis (including 2024 algorithmic studies of YouTube comments), and sector-specific applications in healthcare marketing and wine economics. His methodology integrates quantitative big data analysis with policy evaluation frameworks, consistently examining visibility-power relationships in digital spaces and barriers to technology dissemination. Recent work demonstrates increasing focus on computational social science approaches while maintaining practical policy relevance. Publication trends over the past decade reveal expanding investigation into algorithmic measurement (2024), digital inclusion (2014 Waswanipi study), and SME technology assimilation (2012 framework), building upon foundational work in virtual collaboration (1996). Key thematic threads include digital divide mitigation, political campaign tracking through internet metrics, and optimization of technology-driven markets. His academic service includes leading the French adaptation of major marketing textbooks (2011-2020 editions) and developing pedagogical frameworks for international online teaching. Current research directions examine social media analytics applications in consumer behavior and policy impact assessment through digital trace data.









