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作 者:翟姗姗[1] 郭致怡 查思羽 叶飞 张亚男 ZHAI Shanshan;GUO Zhiyi;ZHA Siyu;YE Fei;ZHANG Yanan(School of Information Management,Central China Normal University,Wuhan 430079,China;Graduate School,Central China Normal University,Wuhan 430070,China;China Mobile Information Technology Co.,Ltd,Beijing 102211,China)
机构地区:[1]华中师范大学信息管理学院,湖北武汉430079 [2]华中师范大学研究生院,湖北武汉430070 [3]中移动信息技术有限公司,北京102211
出 处:《情报科学》2023年第6期84-93,共10页Information Science
基 金:国家社会科学基金重大项目“新时代我国文献信息资源保障体系重构研究”(19ZDA345)。
摘 要:【目的/意义】探索房东生成内容和房客生成内容对共享住宿平台信息服务价值共创的影响机制,以深化文本资源在共享住宿平台的应用价值,为共享住宿平台及其参与者提供参考。【方法/过程】基于价值共创理论,构建文本资源视角下共享住宿平台信息服务的价值共创模式,并通过爱彼迎平台北京市的15046条房东生成内容和171893条房客生成内容进行实证分析。【结果/结论】房东生成内容和房客生成内容的数量正向影响共享住宿平台的信息服务价值共创,两类文本资源的相似度显著正向影响着共享住宿平台的信息服务价值共创。【创新/局限】从文本资源角度探讨共享住宿平台信息服务的价值共创机制,具有一定的创新性,但仅选取了爱彼迎平台北京市的数据,未来可以将对文本资源价值的研究拓展至不同地区的数据以及不同类型的平台。【Purpose/significance】This paper explores the influence mechanism of User-Generated Content(UGC)and Marketer-Generated Content(MGC)on the value co-creation of information services in shared accommodation platforms,in order to deepen the application value of text resources in shared accommodation platforms and provide references for shared accommodation platforms and their participants.【Method/process】Based on value co-creation theory,we constructed a value co-creation model of information ser⁃vices on shared accommodation platforms from the perspective of text resources.Then,we conducted an empirical study with 15,046 landlord text information and 171,893 tenant reviews from Airbnb(Beijing).【Result/conclusion】The quantity of MGC and UGC posi⁃tively affected the co-creation of information service value in shared accommodation platforms,and the similarity of the two types of text resources posed significant positive impacts on the co-creation of information service value in shared accommodation platforms.【Innovation/limitation】It is innovative to explore the value co-creation mechanism of the information service of the shared accommo⁃dation platform from the perspective of text resources.However,only the data of Airbnb(Beijing)was selected.Future research on the value of text resources can be expanded to include data from different regions and different types of platforms.
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