近日，我院陈思超博士以合作作者身份在ABS4星期刊《Tourism Management》上发表论文“Multimodal destination image and user engagement: a sequential research design”，该期刊是ABS4星期刊，中国科学院SCI一区Top类期刊，旅游类国际顶刊，影响因子为10.4。
论文题目
Multimodal destination image and user engagement: a sequential research design
论文摘要
This study employs a sequential research design to investigate New Zealand’ s multimodal projected destination image and the impact on user engagement. Using 1) multimodal analytics and 2) Qualitative Comparative Analysis (QCA), findings show that New Zealand has seven distinct projected destination images (e.g., majestic landscapes and thrilling adventures, tranquil nature retreats). Videos that integrate nature-focused visuals, medium-energy background sounds and text emphasizing Māori culture and environmental stewardship or exploration and leisure are more likely to have higher user engagement. This study advances tourism literature by empirically developing multimodal projected destination image and establishing a systematic methodological framework in approaching multimodal data in tourism. This study also offers critical insights for DMOs to effectively develop multimodal projected destination image using short-form videos.
作者简介
陈思超，杭州电子科技大学经济学院讲师，硕士生导师，经济学博士，研究方向为大数据统计分析与推荐、统计评价与决策、宏观经济预测、旅游预测等，研究成果发表于Tourism Management，Expert Systems with Applications，International Journal of Fuzzy Systems，Artificial Intelligence Review，Group Decision and Negotiation等期刊。
