Ph.D Candidate at Harbin University of Commerce, China
Hao He is a Ph.D. candidate at the School of Management, Harbin University of Commerce, China. His academic trajectory is deeply rooted in the intersection of technology and human behavior, specifically focusing on the dynamic field of Human-AI Interaction. As a rising scholar, Hao He has built a solid foundation in interdisciplinary research that bridges digital marketing, tourism management, and decision sciences. His contributions offer meaningful insights into how emerging technologies, such as artificial intelligence and big data analytics, are reshaping consumer behavior, organizational decision-making, and the broader socio-economic landscape.
Profile
Google Scholar
Education
Hao He is currently pursuing his doctoral studies at Harbin University of Commerce, where he is enrolled in the School of Management. His academic training is characterized by a rigorous curriculum emphasizing analytical modeling, data science, and behavioral theories. Throughout his doctoral program, Hao He has developed expertise in both quantitative and qualitative research methodologies, enabling him to address complex, real-world problems in a methodologically sound manner. His academic focus is highly multidisciplinary, integrating theories from information systems, marketing, management science, and artificial intelligence to explore innovative solutions in contemporary business and technological contexts.
Experience
As a doctoral researcher, Hao He has engaged in multiple research projects addressing real-time and large-scale decision-making challenges in both industrial and academic environments. He has collaborated with peers and senior researchers in China and internationally, contributing to the development of robust models and frameworks for analyzing human interaction with AI technologies. His involvement extends to publishing scholarly articles, presenting at international conferences, and conducting advanced empirical studies using multi-modal data. Hao He’s academic career is further marked by his active participation in research committees and peer review panels, where he evaluates emerging work in digital transformation, AI ethics, and human-computer interaction.
Research Interest
Hao He’s primary research interests include Human-AI Interaction, Digital Marketing, Multi-Modal Big-Data Analysis, Tourism Management, and Large-Scale Group Decision-Making. His research explores the sociotechnical implications of intelligent systems and their role in shaping user experiences across various industries, especially tourism and e-commerce. He is particularly interested in how anthropomorphic features in AI systems influence user trust and emotional engagement, and how data analytics can uncover hidden consumer patterns. His approach combines machine learning, social network analysis, and behavioral science to generate practical insights for both academics and practitioners.
Award
Although still in the early stage of his academic career, Hao He has already gained recognition in the research community through several high-impact publications and conference presentations. His scholarly work has been accepted in top-tier journals such as Technological Forecasting & Social Change, Energy Economics, and Frontiers in Psychology. These achievements reflect his academic rigor and innovative thinking, which have positioned him as a promising scholar in the domains of management and information science.
Publication
Hao He has authored multiple research articles published in reputable international journals. Seven notable publications include:
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“What Is the Focus of Energy Supply Chain Relationship Management During Geopolitical Risks?” (Energy Economics, 2025, In-press), examines transaction cost economics in the context of global supply chain volatility.
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“Warmth trumps competence? Uncovering the influence of multimodal AI anthropomorphic interaction experience on intelligent service evaluation” (Technological Forecasting & Social Change, 2024), which explores how AI design elements affect consumer perceptions.
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“Exploring thematic influences on theme park visitors’ satisfaction” (Journal of Consumer Behaviour, 2023), provides empirical evidence on customer experience at Disneyland China.
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“Exploring the Over-Time Variation in Customer Concerns on Sharing Economy Services” (Journal of Global Information Management, 2023), analyzes user-generated content to track changing consumer priorities.
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“A Large-Scale Group Decision-Making Model Considering Expert Authority Degree and Relationship Evolution” (Group Decision & Negotiation, 2024), presents a novel model for collective decision-making in networked systems.
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“Engaging Tourists from City Aesthetics” (Asia Pacific Journal of Marketing and Logistics, 2025, In-press), utilizes computer vision and text mining to assess how urban design impacts tourism engagement.
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“Research on Government Subsidy Strategies for Power Batteries of New Energy Vehicles” (Humanities and Social Sciences Communications, 2025, In-press), investigates policy mechanisms influencing R&D and recycling strategies. These papers are widely cited in the domains of AI-driven analytics and behavioral science, reflecting their relevance and impact.
Conclusion
Hao He stands at the forefront of a new generation of interdisciplinary researchers who are redefining how we understand and design AI systems for human-centric applications. His work has already begun to shape discussions around trust, satisfaction, and efficiency in technologically mediated environments. Through his dedication to empirical rigor and theoretical innovation, Hao He continues to contribute meaningfully to academia and industry alike. As he progresses in his doctoral journey, his future research is poised to further influence policy, practice, and innovation in the ever-evolving interface between humans and intelligent systems.