共享经济
匹配(统计)
背景(考古学)
住宿
认知风格
顾客满意度
二元体
透视图(图形)
认知
心理学
营销
知识管理
业务
计算机科学
社会心理学
万维网
人工智能
数学
神经科学
古生物学
统计
生物
作者
Aihui Chen,Yu Ying,Yaobin Lu
出处
期刊:Information Technology & People
[Emerald Publishing Limited]
日期:2021-04-05
卷期号:35 (3): 899-924
被引量:2
标识
DOI:10.1108/itp-01-2020-0001
摘要
Purpose The peer-to-peer (P2P) accommodation-sharing market has developed rapidly on the strength of information technology in recent years. Matching providers and customers in an information technology (IT)-enabled platform is a key determinant of both parties' experiences and the healthy development of the platform. However, previous research has not sufficiently explained the mechanism of provider–customer matching in accommodation sharing, especially at the psychological level. Based on field cognitive style theory, this study examines how the match and mismatch affect customers' online and offline satisfaction and whether a significant difference exists between online and offline satisfaction under different matching patterns. Design/methodology/approach The authors test the proposed theoretical model using 122 provider–customer dyad data collected through a field study. Findings The results suggest that customers' online and offline satisfaction under match is significantly higher than that under mismatch. In addition, customers' online satisfaction is significantly higher than their offline satisfaction under mismatch, but there is no significant difference between the two under match. The perceived price fairness also plays a moderating role in the case of mismatch. Originality/value In summary, these findings provide a novel understanding about the matching patterns and their outcomes in the accommodation-sharing context and expand the contents and applications of field cognitive style theory and matching theory. This study will help these IT-enabled platforms to provide personalized matching services at the psychological level, thereby enhancing user experience and corporate competitiveness. 10; 10;
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