ISSN: 3078-5855

Issue 3, 2025

Articles
Information

Domestic Tourists’ Behavioral Intentions: Insights from a Review Study
Appears in:
ttti 25(3):

Authors:
Phan Thi Hong Hai , Phuong Bui L. A.

Abstract:
Domestic tourism has become increasingly important for sustaining the industry, yet limited research has explored the behavioral intentions of local travelers. To address this gap, the paper develops an integrative framework that links motivational factors, perceived benefits, satisfaction, and beh…Domestic tourism has become increasingly important for sustaining the industry, yet limited research has explored the behavioral intentions of local travelers. To address this gap, the paper develops an integrative framework that links motivational factors, perceived benefits, satisfaction, and behavioral intention. Unlike studies earlier that mostly focused on international contexts or emphasized direct relationships, the proposed framework highlights the mediating influence of perceived benefits and satisfaction, offering a more comprehensive perspective on tourist behavior. The originality of this work lies in advancing theoretical insights through a synthesized framework, providing a deeper understanding of the factors influencing domestic tourism and supporting the development of sustainable tourism strategies.

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From Village to Cloud: A Framework for the Emergence and Sustainability of Digital Social Enterprises (DSEs) in Rural Tourism
Appears in:
ttti 25(3):

Author:
Ari Margiono

Abstract:
INTRODUCTION: Diversification into tourism in rural economies has emerged as a viable pathway to enhance resilience, with digitalization further expanding reach, enriching visitor experiences, and enabling inclusive participation. Digital Social Enterprises (DSEs) – hybrid ventures that integrat…
INTRODUCTION: Diversification into tourism in rural economies has emerged as a viable pathway to enhance resilience, with digitalization further expanding reach, enriching visitor experiences, and enabling inclusive participation. Digital Social Enterprises (DSEs) – hybrid ventures that integrate a social mission with entrepreneurial approaches and digital technologies – offer significant potential for advancing sustainable rural tourism. Despite this promise, there is a lack of an integrated framework explaining how DSEs in rural tourism emerge and, subsequently, achieve long-term sustainability.
OBJECTIVES: This conceptual paper addresses that gap by synthesizing concepts on digital social entrepreneurship, entrepreneurial intention theory, and sustainable rural tourism.
RESULTS: It proposes a two-phase framework - emergence and sustainability -linking antecedents such as empathy, moral obligation, prior experience, and perceived feasibility and desirability, with enabling conditions including community assets, digital infrastructure, and ecosystem support, as well as hybrid organizing and legitimacy
CONCLUSION: The framework is accompanied by propositions outlining how these factors interact to influence both the creation and endurance of rural tourism DSEs. The study contributes theoretically by bridging disparate research streams
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Simultaneous Dual-Band Classification for WLAN Band Selection
Appears in:
ttti 25(3):

Authors:
Nana Esi Nyarko, Quang Nhat Le

Abstract:
Accurate classification of dual-band Wi-Fi signals is essential for improving adaptive band selection and maintaining quality of service in complex indoor wireless environments. Although several efforts have addressed propagation modeling, only few works simultaneously examined dual-band classifica…Accurate classification of dual-band Wi-Fi signals is essential for improving adaptive band selection and maintaining quality of service in complex indoor wireless environments. Although several efforts have addressed propagation modeling, only few works simultaneously examined dual-band classification across both 2.4 GHz and 5 GHz frequencies in realistic scenarios. In this work, we use the measurements data conducted in the Deutsches Museum Bonn, which captures both line-of-sight (LoS) and non-LoS (NLoS) propagation conditions in a complex indoor environment. Ten statistical features are extracted from the received signal data, including mean, standard deviation, and skewness. To classify the signals, multiple machine learning models are evaluated, including k-nearest neighbors, support vector machines, and two deep learning architectures. Among these, model 3A, which is a fully connected neural network comprising three hidden layers using ReLU activation with 64, 32, and 16 neurons, respectively, and a softmax output layer, achieves the best performance. Trained with the Adam optimizer and categorical cross-entropy loss, model 3A attains an overall classification accuracy of 93 \% at the optimal window, thus outperforming the baseline models in terms of precision, recall, and F1-score across all classes. These results highlight the model’s robustness for simultaneous dual-band classification and its potential application in intelligent band selection for next generation Wi-Fi systems.
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Arousal – Passage To Impulsive Purchase - Exploring The Driving Factors Through TikTok Short Marketing Videos
Appears in:
ttti 25(3):

Author:
Phuoc Nguyen

Abstract:
In the age of swiftly evolving digital technology, social media platforms, particularly TikTok, significantly influence consumer behavior. TikTok's unique features - its highly personalized "For You" algorithm, rapid short-form content, and sound-on design - intensify users' emotional arousal and r…In the age of swiftly evolving digital technology, social media platforms, particularly TikTok, significantly influence consumer behavior. TikTok's unique features - its highly personalized "For You" algorithm, rapid short-form content, and sound-on design - intensify users' emotional arousal and reduce cognitive processing time, thereby reinforcing the arousal-impulse pathway more effectively than platforms like Instagram Reels or YouTube Shorts. These attributes foster an entertainment-focused environment where emotional engagement rapidly translates into impulsive behavior, highlighting TikTok's distinctive design impact on impulse buying behaviors.
A quantitative methodology was utilized for this research, including a survey featuring a 5-point Likert scale. The survey was conducted online utilizing a convenience sampling technique. The sample size consists of 350 respondents in Vietnam, aged 18 to 30. The respondents are TikTok users who participate in online buying using this platform. Subsequent to screening, the data were evaluated utilizing Structural Equation Modelling (SEM), conducted with SmartPLS 3. The findings demonstrated that elements like entertainment, perceived usefulness, and aesthetic design in TikTok short marketing videos have positive effects on young consumers’ impulsive purchase intentions. Notably, this research has demonstrated the major mediation role of the affective factor - perceived enjoyment - in the transition to impulsive purchasing.
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Overview of Quantum Machine Learning for 6G
Appears in:
ttti 25(3):

Authors:
Dung Thanh Tran, Dac-Binh Ha, James Adu Ansere

Abstract:
The forthcoming sixth generation (6G) of wireless networks requires fundamental rethinking of network intelligence, driven by the transition toward ubiquitous cognitive networks and the unprecedented complexity beyond 5G. The optimization demands of 6G surpass the capabilities of classical heuristi…The forthcoming sixth generation (6G) of wireless networks requires fundamental rethinking of network intelligence, driven by the transition toward ubiquitous cognitive networks and the unprecedented complexity beyond 5G. The optimization demands of 6G surpass the capabilities of classical heuristics and conventional Machine Learning (ML), which encounter significant limitations in addressing dimensionality challenges in ultra-massive multiple-input multiple-output/terahertz/reconfigurable intelligent surfaces-assisted systems, stringent sub-millisecond latency requirements, and severe energy bottlenecks at the edge. Motivated by these gaps, this review investigates Quantum Machine Learning (QML) as a transformative solution, merging quantum mechanics with data-driven intelligence. We propose a unified and forward-looking perspective on ML integration for 6G, bridging previously siloed research domains such as cross-layer optimization, semantic- and intent-driven communication, and quantum-inspired acceleration. Furthermore, this work systematically reviews quantum-enhanced optimization methods and analyzes QML’s role as an intelligence anchor, demonstrating its potential to provide context-aware, resilient, and sustainable network control across various layers. Ultimately, the paper outlines pathways for integrating QML to ensure timely, scalable, and secure decision-making in the volatile 6G landscape.
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Scope

EAI Endorsed Transactions on Tourism, Technology and Intelligence (TTI) is an interdisciplinary scholarly refereed research journal that aims to promote the theory and practice of tourism by linking tourism, technology, and intelligence disciplines. It addresses the issues involved in intelligent planning, development, and implementation of technological capabilities to shape and accomplish tourism's strategic and operational objectives. It encourages theoretical and practical, policy and empirical contributions in tourism, technology, and intelligence across social science, economy, education, and engineering. It welcomes new theories, techniques, concepts, algorithms, prototypes, and applications impacting the hospitality and tourism sectors.

INDEXING: GoogleScholar, Crossref, Dimensions, Semantic Scholar, Lens

This journal is founded, co-organised, and managed by Duy Tan University, Vietnam, in collaboration with Passage to ASEAN (P2A), an ASEAN Entity. It is an official refereed publication of Duy Tan University and the publishing services is provided by EAI

Editors-in-Chiefs (EiCs)
Dr. Le Nguyen Tue Hang, Director of Passage to ASEAN Association (P2A) Secretariat Vice Provost of Duy Tan University, Vietnam
Prof. Trung Q. Duong (IEEE Fellow, AAIA Fellow), Canada Excellent Research Chair, Memorial University, Canada/ Adjunct Chair Professor, Que…

Editors-in-Chiefs (EiCs)
Dr. Le Nguyen Tue Hang, Director of Passage to ASEAN Association (P2A) Secretariat Vice Provost of Duy Tan University, Vietnam
Prof. Trung Q. Duong (IEEE Fellow, AAIA Fellow), Canada Excellent Research Chair, Memorial University, Canada/ Adjunct Chair Professor, Queen’s University Belfast / Research Chair of Royal Academy of Engineering, UK
Associate Editors-in-Chiefs (AEiCs)
Tourism section: Dr. Phuong, Bui Le Anh, P2A Research Manager and Vice Dean of Hospitality & Tourism Institute, Duy Tan University, Vietnam
Technology section: Dr. Antonino Masaracchia (IEEE Senior Member), Queen Mary University of London, UK
Intelligence section: Dr. Hien Nguyen, Queen's University Belfast, UK
Associate Editors:
Professor George K. Karagiannidis (IEEE Fellow), Aristotle University of Thessaloniki, Greece
Professor Hyundong Shin (IEEE Fellow), Kyung Hee University, South Korea
Professor Chau Yuen (IEEE Fellow), Nanyang Technological University, Singapore
Professor Ozgur B. Akan (IEEE Fellow), University of Cambridge, UK
Professor Shirley Guevarra, University of the Philippines, Philippines
Professor Richard Hazenberg, University of Northampton, UK
Professor Jennifer Pasion Loverio, University of the Philippines-Diliman, Philippines
Professor Berk Canberk, Edinburgh Napier University, UK
Professor Zoran Hadzi-Velkov, Ss. Cyril and Methodius University, Macedonia
Dr Saeed Reza Khosravirad, Nokia Bell Labs, USA
Dr Junaid ur Rehman, University of Luxembourg, Luxembourg
Dr Nguyen Gia Nhu, Duy Tan University, Vietnam
Dr Haejoon Jung, Kyung Hee University, South Korea
Dr Muhammad Fahim, Queen's University Belfast, UK
Dr Lina Mohjazi, University of Glasgow, UK
Dr Bradley D. E. McNiven, Memorial University of Newfoundland, Canada
Dr Nguyen-Son Vo, Duy Tan University, Vietnam
Dr. Hamed Ahmadi, University of York, UK
Dr. Tuan Vu Cao, Norwegian Institute for Air Research, Norway
Dr Adnan Ahmad Cheema, Ulster University, UK
Dr James Adu Ansere, Sunyani Technical University, Ghana
Dr. Zhichao Sheng, Shanghai University, China

Publisher: EAI
ISSN: 3078-5855
Volume: 2

Published: 2025-11-04

EUDL

Domestic Tourists’ Behavioral Intentions: Insights from a Review Study

From Village to Cloud: A Framework for the Emergence and Sustainability of Digital Social Enterprises (DSEs) in Rural Tourism

Simultaneous Dual-Band Classification for WLAN Band Selection

Arousal – Passage To Impulsive Purchase - Exploring The Driving Factors Through TikTok Short Marketing Videos

Overview of Quantum Machine Learning for 6G

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