Abstract
This article introduces a framework for optimizing managerial decisions through a process/flow thinking approach, incorporating the impact of AI-human socialization in a tourism organizational context. It reflects the transformative nature of hybrid interactions shaped by human-AI socialization process. Despite AI’s expansion across industries, research on its social integration in tourism remains limited. This study critically reviews sociotechnical systems theory and applies a continuous socio-technological transformation approach to tourism organizations. The proposed framework conceptualizes decision-making in a human-agentic AI hybrid system via implementation of Intelligent Choice Architectures, emphasizing teamwork, trust-building, and legitimacy. An example case on pricing optimization illustrates the framework’s applicability, demonstrating how AI can enhance decision-making in tourism, while streamlining allocation of resources across the human-AI hybrid system.
| Original language | English |
|---|---|
| Article number | 105205 |
| Number of pages | 14 |
| Journal | Tourism Management |
| Volume | 111 |
| Early online date | 28 Apr 2025 |
| DOIs | |
| Publication status | E-pub ahead of print - 28 Apr 2025 |
Bibliographical note
Publisher Copyright:© 2025 Elsevier Ltd
Research Groups and Themes
- MGMT theme Innovation and Digitalisation
Keywords
- Human-AI teaming
- Decision-making
- Sociotechnical systems theory
- Organizational socialization
- Hybrid transformation
- Tourism