研究成果：Hue, brightness, saturation, and caption description: which attributes impact listing preferences on digital accommodation platforms?

作者：傅詩軒,Cheng Xusen,Bilgihan Anil,Okumus Fevzi

發(fā)表期刊：Internet Research

發(fā)表時間：2024年3月19日

Purpose – Images and caption descriptions serve as important visual stimuli that influence consumer preferences; therefore, the current study focuses on property images and captions illustrated on the home pages of accommodation-sharing platforms. Specifically, this study investigates the relative importance of hue, brightness and saturation of a property image and caption description styles on potential consumers’ preferences. Design/methodology/approach – A mixed-method approach was used, and a total of 293 valid responses were collected through a discrete choice experiment approach. Interviews were conducted for additional analyses to explore the detailed explanations. Findings – The utility model demonstrated that the image’s saturation was the most critical attribute perceived by the respondents, followed by caption description style, hue and brightness. Originality/value – This is one of the first studies to investigate the display of attributes on a digital accommodation platform by exploring potential customers’ stated preferences. This study focuses explicitly on images and captions illustrated on the home page of an accommodation booking platform. Detailed image investigation is also a new research area in sharing economy-related research.