独创性
模式
感知
酒店业
计算机科学
一致性(知识库)
社会化媒体
认知心理学
心理学
旅游
社会心理学
万维网
人工智能
创造力
神经科学
社会科学
社会学
政治学
法学
作者
Hui Li,Peng Wang,Chunxiao Li
标识
DOI:10.1108/ijchm-10-2024-1501
摘要
Purpose This study aims to investigate how multimodal expressions of warmth (pictorial and textual) by hosts in the service and hospitality industry influence listing sales. Specifically, it aims to develop a theory of media warmth by examining the distinct and combined effects of pictorial and textual warmth on consumer behavior. To the authors’ knowledge, this is the first study to integrate both image-based and text-based warmth cues into a unified theoretical framework, uncovering nonlinear and synergistic effects that have not been previously documented. Design/methodology/approach The study uses an empirical analysis coupled with two experiments to assess the impact of pictorial and textual warmth on listing sales. The experiments explore the linear and nonlinear relationships between these modalities and their combined synergistic effects. Findings The study reveals that pictorial warmth has a linear positive effect on listing sales, whereas textual warmth follows an inverted-U pattern. When combined, pictorial and textual warmth demonstrate a positive synergistic effect. Furthermore, slight inconsistencies between warmth expressed through these two media enhance their combined impact, although such inconsistency can diminish the individual effects of each modality. Practical implications Hosts can boost booking demand by strategically balancing pictorial warmth (using warm color palettes) and textual warmth (moderating emotional language), while ensuring general consistency across modalities. Integrating automated warmth-analytics tools and Artifical Intelligence-driven feedback into host dashboards can streamline optimization, reduce cognitive load and enhance platform competitiveness. Originality/value This research contributes to the limited literature on multimodal expressions of warmth in online platforms, particularly within the service and hospitality industry. By pioneering a comprehensive media warmth theory that formally models how pictorial and textual warmth interact and when they conflict or reinforce one another, the study fills a critical gap in understanding emotional communication in peer-to-peer platforms. Hosts and platform designers can leverage these insights to strategically craft and evaluate multimodal content, optimizing listing performance and user engagement.
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