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Nuo Dong

Biographic Data

ID6187426
NAMENuo Dong
GIVEN NAMESNuo
FAMILY NAMEDong
SIGNATUREDONG N
AFFILIATIONSSouth China Normal University
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • To Talk the Talk

    Open Access•Han Chen, Han Y H Chen et al.•ARTICLE•SAGE Open•2026

    As chatbots gradually replace human employees on the front lines, how to optimize their services to promote value co-creation between the older adults and robots has become a key topic to tap the potential of the elderly market. Grounded in social presence theory, this research explores how chatbot language form affects older adults’ value co-creation intention. Through three experiments, the results revealed that the use of dialect increases cog…

  • Tainted by technology? The effect of AI-generated image labels on consumers’ food purchase intentions

    Han Chen, Han Y H Chen et al.•ARTICLE•British Food Journal•2026

    Purpose The purpose of this study is to examine how AI-generated image labels influence consumers’ purchase intention of cuisine, by revealing the psychological mechanisms via perceived effort, perceived image authenticity and perceived taste, and further examining the moderating effect of price premiums in food marketing. Design/methodology/approach This study uses three scenario-based experiments. Experiment 1 studies AI-generated label versus …

  • Teasing tourists? A humorous intervention strategy to manage deviant behavior and negative reactions

    Shizhao Zhao, Shuaifang Liu et al.•ARTICLE•Journal of Sustainable Tourism•2025

    Deviant tourist behavior adversely affects the social, economic, and ecological dimensions of destinations, but direct intervention may cause tourists’ disgust and resistance. Based on conservation of resources theory, this paper investigates the effectiveness and mechanism of teasing as an intervention strategy in tourism contexts through four experiments. The results indicate that using teasing can greatly reduce tourists’ desire to avoid and r…

  • Drained Tourists

    Jun Zhao, Jianzhen Zhao et al.•ARTICLE•Leisure Sciences•2025•References: 86

No prominent works on this page.

  • Teasing tourists? A humorous intervention strategy to manage deviant behavior and negative reactions

    Shizhao Zhao, Shuaifang Liu et al.•ARTICLE•Journal of Sustainable Tourism•2025

    Deviant tourist behavior adversely affects the social, economic, and ecological dimensions of destinations, but direct intervention may cause tourists’ disgust and resistance. Based on conservation of resources theory, this paper investigates the effectiveness and mechanism of teasing as an intervention strategy in tourism contexts through four experiments. The results indicate that using teasing can greatly reduce tourists’ desire to avoid and r…

  • Drained Tourists

    Jun Zhao, Jianzhen Zhao et al.•ARTICLE•Leisure Sciences•2025•References: 86

  • To Talk the Talk

    Open Access•Han Chen, Han Y H Chen et al.•ARTICLE•SAGE Open•2026

    As chatbots gradually replace human employees on the front lines, how to optimize their services to promote value co-creation between the older adults and robots has become a key topic to tap the potential of the elderly market. Grounded in social presence theory, this research explores how chatbot language form affects older adults’ value co-creation intention. Through three experiments, the results revealed that the use of dialect increases cog…

  • Tainted by technology? The effect of AI-generated image labels on consumers’ food purchase intentions

    Han Chen, Han Y H Chen et al.•ARTICLE•British Food Journal•2026

    Purpose The purpose of this study is to examine how AI-generated image labels influence consumers’ purchase intention of cuisine, by revealing the psychological mechanisms via perceived effort, perceived image authenticity and perceived taste, and further examining the moderating effect of price premiums in food marketing. Design/methodology/approach This study uses three scenario-based experiments. Experiment 1 studies AI-generated label versus …

AI in Service Interactions (2 works) · Adventure Sports and Sensation Seeking (1 work) · Affect (linguistics (1 work) · Behavioral Health and Interventions (1 work) · Brand Image (1 work) · Chatbot (1 work) · Cognition (1 work) · Consumer Behavior in Brand Consumption and Identification (1 work) · Crime, Deviance, and Social Control (1 work) · Digital Marketing and Social Media (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae