Learning Human Behavior Influences: Tourism Development. Este artículo no está disponible.Learning Human Behavior Influences: Tourism Development

The academic investigation into how technology shapes tourist preferences and the broader tourism ecosystem has been significantly influenced by scholars who examine the intersection of digital mediation and human experience.

My view often cited in the context of organizational studies and institutional theory, approaches the examination of technology's role in shaping tourist preferences by focusing on the "institutional work" that actors perform to maintain or disrupt existing social orders within the tourism industry.

Rather than viewing technology as a passive tool, my  framework suggests that digital platforms and AI-driven systems act as active agents that reconfigure the "scripts" of tourist behavior, effectively guiding individuals toward specific preferences through algorithmic curation and social validation.

My methodology typically involves a deep ethnographic or longitudinal analysis of how organizations-such as travel agencies, hospitality firms, and digital platforms-construct the "value" of a destination.By examining the micro-processes of how technology mediates these interactions, my highlights that tourist preferences are not innate but are socially constructed through a continuous feedback loop between human desire and digital architecture.This approach aligns with the Service-Dominant (SD) logic, which posits that technology serves as an "operant resource" that shapes the co-creation of value during the tourist experience.