Oct 2026· International Journal of Contemporary Hospitality Management· 53 references
Diverse Aspects of Tourism Research
Abstract
Purpose This study develops an affordance–constraint–value framework to explain how GenAI travel photography shapes consumption value and behavioral intentions. It aims to examine how perceived affordances and constraints relate to functional, emotional and social value, and how these value dimensions influence continuance and sharing intentions. Design/methodology/approach A three-phase mixed-methods design was used. Phase 1 applied topic modeling to 40,543 user-generated posts. Phase 2 surveyed 485 GenAI travel photography users and tested the structural model with PLS-SEM. Phase 3 used fsQCA to identify affordance–constraint configurations associated with high consumption value. Findings Phase 1 showed that public discourse centered on enabling conditions, value evaluations and behavioral tendencies. Phase 2 indicated that trialability, aesthetic creation and self-congruence were central to value formation, and that all three value dimensions increased continuance and sharing intentions. Phase 3 showed that high-value outcomes appeared through multiple sufficient configurations, with low AI hallucination risk recurring across solutions. Originality/value This study contributes to digital tourism and destination visual marketing by conceptualizing GenAI travel photography as generated self-in-place consumption. Integrating technology affordances and constraints theory with the theory of consumption value offers a more balanced explanation of how value is created, qualified and suppressed. Methodologically, it combines big-data exploration, net-effect testing and configurational analysis to explain value formation and its behavioral consequences.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
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