This scoping review will map how interactions between computational agents are designed, coordinated, evaluated, and governed in tourism and hospitality. It will cover traditional multi-agent systems and architectures based on large language models, identifying applications, agent roles, coordination mechanisms, evaluation approaches, and reported governance issues. The review will follow JBI methodological guidance and will be reported according to PRISMA-ScR. Searches will be conducted in Scopus and Web of Science Core Collection, supplemented by Google Scholar searches and reference checking. Eligible publications will be English-language, peer-reviewed journal research articles describing at least two identifiable computational agents with a functional interaction in a tourism or hospitality context. No publication-year restriction will be applied. Preprints and conference papers will be excluded. João Pedro Portugal and Miguel Nuno Portugal will independently screen titles, abstracts, and full texts. One reviewer will extract the data and the other will verify all fields. Findings will be presented through descriptive summaries, comparative tables, and thematic analysis. Preparatory searches and preliminary checks of selected titles and abstracts were conducted on 6 October 2026 to refine the search strategy. These activities did not constitute formal independent screening or data extraction. The definitive searches will be conducted after protocol registration.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
The ongoing work building a Raspberry Pi cluster consisting of 300 nodes is presented, with potential use cases being an inexpensive and green test bed for cloud computing research and a robust and mobile data center for operating in adverse environments.
P. Abrahamsson, S. Helmer, Nattakarn Phaphoom et al.· IEEE International Conferenc...· 110 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
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MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026