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Prof. Mimi Li Delivers Keynote on AI and Tourism Marketing at 100th TOSOK International Conference

Professor Mimi Li, Associate Director of the Research Centre for Digital Transformation of Tourism (RCDTT) at The Hong Kong Polytechnic University, was invited to deliver a keynote address at the 100th International Conference of the Tourism Sciences Society of Korea (TOSOK), held in Seoul. The Tourism Sciences Society of Korea, established in 1972, is the largest and oldest academic organisation dedicated to tourism research in the country. In her presentation, Prof. Li presented findings on the application of artificial intelligence in tourism marketing, with a focus on the differences between Mainland Chinese and Hong Kong travellers. She noted that Hong Kong tourists still predominantly rely on search engines, word-of-mouth, and online travel agencies (OTAs) for information search and booking. In contrast, Mainland travellers prefer mobile applications that offer user-generated content and travel guides, and tend to book through these platforms and social media channels. Citing survey data, Prof. Li reported that nearly one-third of respondents have used AI as a source of travel information, and over 70% of Mainland tourists make their travel decisions within one week prior to departure. The integration of AI with booking platforms, she observed, facilitates more spontaneous travel. Prof. Li also outlined emerging market characteristics. She observed a shift from product-based purchasing to the acquisition of “emotional value,” with tourists increasingly motivated by experiential and affective factors. Generative AI, she noted, is transforming information acquisition from active keyword-based search to recommendation-led discovery. Consequently, marketing strategies now address not only human decision-makers but also algorithms and AI agents. Search engine optimisation (SEO), she argued, is gradually being supplemented by generative engine optimisation (GEO), requiring destinations to be interpretable, visible, and recommendable by AI systems. Beyond content creation, AI is being deployed to assist with workflow management, enabling marketers to track search trends, platform dynamics, and situational contexts in order to perceive user needs and adapt destination attributes into scenario-specific content. This is further integrated with SEO, GEO, and social media channels. Prof. Li projected that future interaction pathways will evolve towards a model of “destination/hotel – destination agent – tourist agent – tourist,” with agent-to-agent (A2A) interactions emerging as a new phenomenon. Concluding her keynote, Prof. Li offered three cautionary observations for academic research. She advised scholars to be aware of the bandwagon effect and to revisit traditional determinants of tourism behaviour; to identify what is genuinely novel in the AI-driven transformation; and to critically reflect on the challenges posed by AI as a research collaborator.

29 Jun, 2026

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RCdTT Scholar Debates Research Evolution at TTRA, Delivers Forecasting Keynote in Montreal

GREENVILLE, USA / MONTREAL, Canada – Prof Haiyan Song, Mr and Mrs Chan Chak Fu Professor in International Tourism and Director of the Research Centre for Digital Transformation of Tourism (RCdTT) at The Hong Kong Polytechnic University, took centre stage at two major international conferences in late June 2026. At the 56th Annual Travel and Tourism Research Association (TTRA) International Conference in Greenville, South Carolina (24–26 June), Prof Song served as a plenary speaker in the "Great Academic Debate". He presented his position on the evolution of tourism research, debating against Prof Sara Dolnicar's perspective on tourism research in crisis. Immediately following the TTRA conference, Prof Song delivered a keynote for the practitioners' track at the 46th International Symposium on Forecasting (ISF) in Montreal, Canada (28 June – 1 July). His talk, titled "Asia Pacific Tourism Demand Forecasting," introduced his team's advanced forecasting work developed for the Pacific Asia Travel Association (PATA). The research provides three-year quarterly travel demand forecasts for 39 Asia Pacific destinations. Prof Song was among an elite group of Forecasting in Practice Track speakers at ISF 2026.

24 Jun, 2026

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​ ATF2026 Focus: Mongolia’s Tourism Demand Poised for Sustained Growth

The 15th Asian Tourism Forum (#ATF2026) was held in Ulaanbaatar, Mongolia, from June 11 to 13, 2026. Under the theme "The Asian Paradigm in Hospitality and Tourism," this year's forum brought together scholars, industry representatives, and policymakers from 22 countries to collectively explore the future direction of Asia's tourism and hospitality industry. During the forum, Prof. Haiyan Song, Director of RCDTT, Associate Dean (Research) and Chair Professor of the School of Hotel and Tourism Management, and Mr and Mrs Chan Chak Fu Professor in International Tourism, delivered a keynote presentation titled "Forecasts of Mongolia Tourism Demand," sharing key projections for Mongolia’s tourism. Based on the Asia Pacific Visitor Forecasts project—which covers 39 destinations and over 1,400 source-to-destination pairs—the forecast highlights a transparent, interpretable, two-stage forecasting methodology. By integrating policy and market information, this approach effectively transforms volatile data into actionable insights to support decision-making. According to the forecasts, Mongolia’s international visitor arrivals are expected to undergo a full recovery and sustain growth above the baseline. By the end of 2026, inbound tourist arrivals to Mongolia are projected to reach 161.83% of 2019 levels; by 2028, this figure is expected to rise further to 177.84%. However, the annual growth rate is also projected to moderate from 8.4% in 2026 to 4.1% in 2028, indicating that the market is gradually stabilizing and maturing after a strong initial rebound. In terms of source markets, Russia, China, and South Korea will continue to dominate Mongolia's inbound tourism, with their combined share projected to reach 79.47% by 2028. Specifically, Russia is poised to become the largest single source market by 2028. Meanwhile, as China's post-pandemic catch-up growth stabilizes, its market share is expected to gradually adjust to 28.71%. Other key source markets, including South Korea, Japan, and the United States, are also demonstrating varying paces of recovery and growth. Accurate tourism forecasting is far more than just numerical estimation; it serves as a critical foundation for industry recovery, strategic market positioning, and policy decision-making. RCdTT will continue to focus on how digitalization and data-driven approaches can empower the Asian tourism industry to transition toward a more sustainable future.

13 Jun, 2026

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RCdTT and CTG Jointly Release Hong Kong Inbound Tourist Satisfaction Index Report

June 10, 2026, at the 2026 Hong Kong Tourism Development Forum & Win-Win Collaboration Tech-Empowerment- Supporting Hong Kong in Consolidating its Position as a World-Class Premier Tourism Destination. A milestone research output was officially unveiled. Presented by Professor Haiyan Song (Mr and Mrs Chan Chak Fu Professor in International Tourism, Director of RCdTT, Associate Dean (Research) and Chair Professor of SHTM, PolyU), the launch ceremony marked the joint release of the "Hong Kong Inbound Tourist Satisfaction Index Report". This high-impact study was collaboratively prepared by the School of Hotel and Tourism Management (SHTM) and the Research Centre for Digital Transformation of Tourism (RCdTT) of The Hong Kong Polytechnic University, alongside the Research Institute of China Tourism Group Corporation Limited / China Travel Service (Hong Kong) Limited. Methodology & Key Insights: Employing state-of-the-art Large Language Models (LLMs) to analyze over 300,000 online reviews from Ctrip and TripAdvisor, the report evaluates inbound tourists' satisfaction across five core sectors: attractions, hotels, restaurants, retail, and transport. Key Findings: Inbound tourist satisfaction showed steady growth in 2025, with attractions leading the improvement. While responsiveness and assurance emerged as Hong Kong's key service strengths, the data highlights room for growth in reliability, empathy, and balanced district-level service provision. Strategic Recommendations: The report advocates for systematic enhancements in service consistency, multilingual services, district facilities, accessibility, and collaborative governance. Bridging Research and Global Impact: Moving forward, RCdTT will continue to focus on its core academic priorities, pioneering cutting-edge research at the intersection of tourism science and digital technology. Through advanced methodology and high-impact industry-academic collaborations, the Centre is dedicated to driving academic excellence, fostering evidence-based policymaking, and contributing to the sustainable development of global hospitality and tourism scholarship.

10 Jun, 2026

PATA 20261

RCDTT Panel at PATA Summit 2026 in Gyeongju Probes AI’s Transformative Role in Tourism: “From Insights to Impacts”

GYEONGJU/HOHANG, 13 May 2026, Korea – The Research Centre for Digital Transformation of Tourism (RCDTT), The Hong Kong Polytechnic University hosted a high-profile panel discussion at the PATA Annual Summit 2026, drawing a packed and diverse audience of industry leaders, academics, and students. Titled “AI and the Future of Tourism: From Insights to Impacts,” the session offered a deep dive into how artificial intelligence is reshaping the travel industry and research. Chaired by Professor Haiyan Song, Director of RCDTT, Associate Dean (Research) and Chair Professor of the School of Hotel and Tourism Management, and Mr and Mrs Chan Chak Fu Professor in International Tourism. The panel brought together a formidable cross-section of expertise. The distinguished panel members included Prof. Dan Wang (Associate Director of RCDTT), Prof. Bela Stantic (SHTM, PolyU), Dr. Yuzhou Huang (Founder & CEO of WDTrip), Mr. Bernard Metzger (Founder & CEO of TravelIndex), and Ms. Nadia Omer (CEO of AirAsia MOVE). Over the course of the insightful session, the panel explored four critical themes shaping the future of the industry: 1. AI and Its Impact on Business Operations. The panelists unanimously agreed that AI has moved beyond a novelty to an operational necessity. Ms. Omer shared how AirAsia MOVE utilizes AI for dynamic pricing and route optimization, while Mr. Metzger highlighted AI's role in streamlining back-end logistics for TravelIndex. Prof. Stantic warned, however, that companies must balance automation with human oversight to avoid systemic errors. 2. Personalization of AI-Driven Travel Experiences. Prof. Dan Wang presented RCdTT’s research findings on how AI algorithms can now predict traveler preferences with startling accuracy, moving from basic recommendations to hyper-personalized, real-time journey adjustments. Dr. Huang demonstrated how WDTrip is leveraging agentic AI to craft bespoke itineraries that evolve during the trip itself, turning “one-size-fits-all” into a relic of the past. 3. Bridging the Gap Between Academics and Practice A recurring theme was the pressing need to close the divide between theoretical research and real-world application. Professor Stantic noted that RCDTT is actively working to translate academic models into actionable tools for travel business  and destinations. The panel called for more industry-academia co-creation labs to ensure that cutting-edge research does not remain confined to journals. 4. The Future of AI in Tourism. Looking ahead, the discussion turned to ethical considerations, data privacy, and the potential for AI to drive sustainable tourism. While AI can optimize visitor flows to combat overtourism, speakers cautioned against algorithmic bias. The consensus was that the future will not be AI-led, but human-centric AI-assisted, where technology enhances, rather than replaces, the human touch. The session concluded with a lively Q&A, during which industry practitioners pressed the panel on practical implementation strategies. Professor Haiyan Song closed by thanking the speakers and the audience, reaffirming RCDTT’s commitment to leading evidence-based dialogue on digital transformation.

13 May, 2026

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RCdTT and Open Sky Sign Strategic MOU to Drive AI Transformation in Tourism

  HONG KONG, May 8, 2026– The Hong Kong Polytechnic University (PolyU), through its Research Centre for Digital Transformation of Tourism (RCDTT), and Open Sky Travel Technology Limited (Open Sky) officially signed a Memorandum of Understanding (MOU) today. The signing ceremony took place during the "Phu Quoc – Your Ultimate Escape" Agent Seminar held at the New World Millennium Hong Kong Hotel, marking the commencement of a strategic partnership dedicated to advancing AI technology within the aviation and tourism sectors. The collaboration aims to integrate Open Sky’s proprietary SkyLLM/SkyLAM AI technology with PolyU’s world-class research expertise. Both parties intend to explore long-term synergies in research funding, academic sponsorship, and the commercialization of research outcomes to support digital transformation in the industry. Key areas of the collaboration include: Research & Innovation: Open Sky will provide specialized funding to support PolyU’s research on vertical Large Language Models (LLMs) for tourism demand forecasting and automated operations. Strategic Advisory: Prof. SONG Haiyan (Director of RCDTT, Associate Dean (Research) and Chair Professor of the School of Hotel and Tourism Management, and Mr and Mrs Chan Chak Fu Professor in International Tourism) and Prof. WANG Dan (Associate Director of RCDTT) have been appointed as Chief Strategic Advisors to Open Sky. Talent Cultivation: Open Sky will provide internship opportunities and a real-world big data environment for PolyU’s PhD students and researchers. Resource Integration: Both parties will jointly apply for the government’s RAISe+ Scheme and other industry-academia-research grants to accelerate the industrial application of AI findings. This collaboration reinforces Hong Kong's role as a premier leader in global travel-tech innovation. Through this partnership, PolyU and Open Sky will continue to push the boundaries of AI, creating a more resilient and technologically advanced future for the international tourism community.

8 May, 2026

20260427Internal and external collaboration in tandem PolyU study identifies key drivers of sustaina

RCDTT Leadership: Prof. Dan Wang Proposes New Stakeholder Framework to Drive Sustainable Hospitality

  As the global hotel industry seeks to minimize its environmental footprint, researchers at the Research Centre for Digital Transformation of Tourism (RCDTT) are providing the strategic tools necessary for meaningful change. A recent study led by Prof. Dan Wang (Associate Director of RCDTT and Professor at SHTM), alongside RCDTT team members Dr. Mei Yang (Postdoc Fellow of RCDTT) and Dr. Zhiming Deng (Research Assistant Professor at SHTM), has introduced a groundbreaking framework to strengthen environmental management through effective stakeholder engagement. A Collective Milestone for RCDTT This study, titled “Pathway to Environmental Management in the Hotel Industry: A Stakeholder Engagement Framework,” represents a significant contribution by RCDTT scholars to the field of sustainable tourism. Published in the Journal of China Tourism Research, the paper identifies that while hotel operators are the face of sustainability, the success of green initiatives depends on a complex synergy between internal and external stakeholders. By focusing on the "human and organizational" side of transformation—a core research pillar of RCDTT—the team examined five international hotel chains in Beijing and Shanghai to understand how different groups influence decision-making. Key Findings: Identifying "Definitive" Stakeholders The RCDTT research team applied Stakeholder Theory to classify groups based on three critical criteria: power, legitimacy, and urgency. Their findings provide a clear roadmap for practitioners: Internal Drivers: The study identifies hotel owners and employees as “definitive” stakeholders. Because they hold direct influence over the design and delivery of green practices, their buy-in is essential. Barriers to Innovation: The research highlights a practical challenge: while owners have the power to implement new technologies for energy reduction and emission control, their commitment is often constrained by cost concerns and return-on-investment (ROI) considerations. External Influence: Beyond internal staff, the framework emphasizes that guests, industry associations, and local communities play vital roles in shaping and sustaining environmental outcomes.   This global attention reinforces RCDTT’s mission to produce high-impact research that transcends academia and offers real-world solutions for the digital and sustainable transformation of the tourism sector.     Read the full paper: https://www.tandfonline.com/doi/full/10.1080/19388160.2024.2374726#abstract   Online coverage: Hotel Online - https://polyu.me/41XWZG4 Hospitality Net - https://polyu.me/3QvICpW 4Hoteliers - https://polyu.me/4mR1YBM Travel Daily News Asia-Pacific - https://polyu.me/4cXDBhp Pacific Asia Travel Association - https://polyu.me/4ddeRTu Hospitality Financial and Technology Professionals - https://polyu.me/3QBDi4k HITEC - https://polyu.me/4cFbxk2 Travel News Hub - https://polyu.me/4vNYRi6 Travel & Tourism Foundation - https://polyu.me/4tMpl2k Top25World - https://polyu.me/4tEsMrw HotelTalks - https://polyu.me/4tEIzXt VisitBali - https://polyu.me/4tH8ii0 Thailand Tourist - https://polyu.me/3QR8aOd    

27 Apr, 2026

Prof Mimi Li

RCDTT Associate Director Prof. Mimi Li Delivers Keynote at the 20th Anniversary High-End Forum on Neuro-Management

From Decision-Making to Experience Management: Keynote at the Neuro-Management 20th Anniversary High-End Forum 2026   On the occasion of the 20th anniversary of neuro-management, Professor Mimi Li, Associate Director of the Research Centre for Digital Transformation of Tourism (RCDTT) at The Hong Kong Polytechnic University, delivered a keynote presentation titled “New Frontiers in Neuro-Management: From Organizational Decision-Making to Experience Management.” The presentation marked an important step in extending neuro-management research into broader disciplinary contexts and advancing its academic significance. From Method Novelty to Problem-Driven Research Over the past two decades, neuro-management and neuromarketing have developed from an early focus on whether neuroscience tools could be applied to management and marketing research into a more mature interdisciplinary field. Current research increasingly emphasizes problem-driven inquiry, methodological integration, interpretability, reproducibility, and ethical governance. Tools such as EEG, eye-tracking, GSR/EDA, facial recognition, fMRI, BCI, and AI-assisted analytics have enabled researchers to examine attention, emotion, memory, value evaluation, and behavioral prediction with greater precision. However, existing studies remain heavily concentrated in pre-consumption contexts, particularly advertising exposure, attention capture, evaluation formation, brand perception, product preference, and purchase intention. By contrast, relatively limited attention has been paid to what happens during consumption and after consumption, including experience dynamics, emotional fluctuation, memory formation, satisfaction, word-of-mouth, and meaning construction.   Tourism and Hospitality as an Ideal Context for Experience Management Tourism and hospitality offer a distinctive and highly valuable context for advancing neuro-management from “decision-making research” to “experience management research.” Unlike tangible products, tourism experiences are intangible, heterogeneous, inseparable, perishable, and strongly embedded in non-local contexts. Their value is not merely determined at the point of choice; rather, it emerges throughout the experience itself. In tourism, experience is not a static outcome but a dynamic process shaped by spatial environments, temporal progression, bodily engagement, service encounters, social interaction, sensory stimuli, and memory. This makes tourism an ideal field for studying how experiences are perceived, evaluated, remembered, and managed.   Emerging Research in Neuro-Tourism Drawing on recent tourism and hospitality studies that employ cognitive neuroscience methods, the presentation reviewed emerging research on tourism experience design, experience memory, negative experiences, virtual tourism, service interaction, behavioral intervention, and immersive experiences. These studies show that tourism experiences are shaped not only by information and choice architecture, but also by familiarity and novelty, emotion, touch, soundscape, visual attention, risk perception, embodiment, narrative engagement, and social interaction. This emerging body of work suggests that neuro-tourism research is beginning to move beyond the question of “how consumers choose” toward a deeper understanding of “how experiences are formed, amplified, regulated, and remembered.”   Research Gaps and Future Directions Despite these advances, tourism-related neuroscience research remains strongly influenced by the marketing paradigm. Many studies continue to focus on marketing effectiveness, brand perception, and purchase tendency, while research on tourism-specific behavioral and experiential mechanisms remains insufficient. The presentation therefore called for greater attention to real-world, mobile, field-based, and naturalistic research designs, as well as stronger integration of EEG, eye-tracking, GSR, behavioral data, AI, and machine learning. Professor Li further emphasized that cognitive neuroscience should not merely serve as a more sophisticated substitute for traditional methods. Its value lies in revealing dimensions of perception, attention, emotion, memory, and interaction that are unable to capture through self-reported methods alone. Toward a New Stage of Neuro-Management The shift from decision-making to experience management represents an important expansion of the neuro-management research paradigm. It responds to the complexity of real consumption contexts and highlights the need to study experiences as dynamic, embodied, social, and memorable processes. For tourism and hospitality research, this shift opens new possibilities for experience design, service optimization, inclusive design, destination management, digital transformation, and responsible innovation.

25 Apr, 2026

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RCDTT Hosts Research Seminar on Social Sensing and Geospatial AI Featuring Prof. Liu Yu from Peking University

The Research Centre for Digital Transformation in Tourism (RCDTT) successfully hosted a high-level research seminar today, featuring Professor Liu Yu from the Institute of Remote Sensing and Geographic Information System at Peking University. The seminar, titled "Social Sensing for Urban Studies," attracted over 60 onsite participants, including the Director of RCDTT Prof. Haiyan Song, Research Assistant Professors (RAPs), and a significant cohort of PhD and Master’s students, fostering a vibrant atmosphere of academic inquiry. The session was chaired by Professor Mimi Li, Associate Director of RCDTT, who welcomed the audience and highlighted the importance of integrating geospatial technologies with social science to address contemporary urban challenges. During the seminar, Professor Liu Yu presented a cutting-edge theoretical framework that redefines how we understand urban spaces. He introduced the concept of “social sensors,” illustrating how geospatial big data—such as social media footprints and taxi trajectories—can be harnessed to decode complex urban dynamics. By synthesizing Geospatial Artificial Intelligence (GeoAI) with traditional urban informatics, Prof. Liu demonstrated transformative approaches to sensing "places" through sentiment mapping and temporal activity rhythms. His research reveals the hidden socioeconomic structures of cities that are often invisible to conventional sensing methods. As a pioneer in GeoAI and the President-elect of the International Association of Chinese Professionals in Geographic Information Sciences (CPGIS) for 2026, Prof. Liu’s insights provided the RCDTT community with invaluable perspectives on the nexus of human behavior and digital urbanism. The presentation was followed by an engaging Q&A session, where faculty and students engaged in a deep dive into the methodology of big data analytics and its applications in tourism and urban planning. The event concluded with a strong sense of academic synergy, reinforcing RCDTT’s commitment to facilitating international knowledge exchange and promoting interdisciplinary research at the forefront of digital transformation.

14 Apr, 2026

Tri party MOU

PolyU RCdTT Strengthens Global Smart Hospitality Leadership with Beijing Strategic Initiatives

  BEIJING, 28 March 2026 — The Research Centre for Digital Transformation of Tourism (RCdTT) at The Hong Kong Polytechnic University’s School of Hotel and Tourism Management (SHTM) has wrapped a series of milestone industry engagements in Beijing, solidifying its role as the academic leader for global hospitality digital transformation.   The centrepiece of the three-day itinerary was a landmark tripartite Memorandum of Understanding (MOU) signing at the prestigious Zhongguancun (ZGC) Forum — China’s top-tier science and innovation summit — on 27 March. Partnering with global service robotics leader Yunji Technology (HKEX: 2670) and Hong Kong-based AI hospitality specialist - Blue Pin International, RCdTT will serve as the academic core of the alliance, pioneering the industry’s first end-to-end Predictive Hospitality framework.   The collaboration leverages RCdTT’s evidence-based hospitality research, paired with Yunji’s global robotic ecosystem and Blue Pin’s proprietary Jahvis AI guest intelligence platform. It also marks the first closed-loop ecosystem integrating academic research, hardware innovation, and data intelligence ever built for the service robotics industry — an alliance rooted in deep industry-academia integration that accelerates the strategic global expansion of China’s smart hospitality solutions.   "We are genuinely excited to join hands with Yunji Technology and Blue Pin International in this forward-looking collaboration. As an academic research institution deeply rooted in the hospitality industry, RCdTT has long been committed to bridging the gap between scholarly inquiry and real-world industry application. This tripartite cooperation leverages the complementary strengths of academia and industry in a uniquely powerful way — allowing us to translate cutting-edge research findings into practical, scalable smart solutions for hotels, and to drive the high-quality digital transformation of the global hospitality industry"  said Professor Haiyan SONG---, Director of RCdTT, Associate Dean (Research) and Chair Professor of the School of Hotel and Tourism Management, Mr and Mrs Chan Chak Fu Professor in International Tourism.   Ahead of the ZGC Forum signing, the RCdTT delegation — led by Director of RCdTT Professor Haiyan Song, Associate Director Professor Dan Wang and Postdoctoral Fellow Dr. Mei Yang — held a targeted exchange with a leading digital and hospitality marketing service provider - Zhiketong Technology – on the morning of 27 March. RCdTT shared its interdisciplinary research capabilities and global collaboration network, while Zhiketong presented its on-the-ground AI solutions for China’s hospitality and tourism businesses. Both sides expressed clear interest in future collaborative research and international expansion initiatives.   On 28 March, the RCdTT team convened at Yunji’s Beijing headquarters for a full progress review of the RCdTT-Yunji Joint Research Lab, covering deliverables from October 2024 to March 2026. RCdTT Associate Director, Professor Dan Wang presented key milestones, including two large-scale studies on robotics in the hospitality industry and an upcoming publication of an industry white paper. The two parties aligned concrete next steps to advance pilot deployments, industry outreach, and research dissemination. At the meeting Blue Pin International also introduced their Hotel Intelligent Check-in systems. Representatives of RCdTT, Yunji Technology and Blue Pin International agree to further explore the collaborative initiatives after the signing of the MoU.     These engagements advance RCdTT’s core mission to bridge academic research and real-world industry practice, driving inclusive, sustainable digital transformation across the global hospitality and tourism sector.  

28 Mar, 2026

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