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信息主导决策型共享服务平台用户购买行为研究——多主体生成信号的组态效应
引用本文:王萍,刘世颖,曹高辉.信息主导决策型共享服务平台用户购买行为研究——多主体生成信号的组态效应[J].图书情报工作,2021,65(23):90-99.
作者姓名:王萍  刘世颖  曹高辉
作者单位:1. 华中师范大学信息管理学院 武汉 430079;2. 湖北省数据治理与智能决策研究中心 武汉 430079
基金项目:本文系中国博士后基金面上项目"信息主导决策型共享服务平台信任机制研究"(项目编号:2019M662690)和华中师范大学青年团队项目(项目编号:CCNU20TD004)研究成果之一。
摘    要:目的/意义]旨在探索共享服务平台上多主体生成信息对资源需求方购买行为的交互影响,以助力后疫情时代共享经济的复苏和健康持续发展。方法/过程]基于信号理论,结合共享服务平台上多主体生成信息特征,构建信息主导决策型共享服务平台消费者购买行为组态研究模型。以共享住宿平台为例,用Python爬取Airbnb平台上成都的共享房源数据,运用模糊集定性比较分析(fsQCA)方法,识别多主体生成信息对用户购买行为影响的组态效应。结果/结论]研究结果发现,促使共享平台用户购买行为的信息特征组合有3种,且产生购买行为的必要条件有1种;导致消费者不购买行为的信息特征条件组合有3种,且不购买行为的必要条件有1种;导致用户购买行为的路径和不购买行为的路径并非相反。

关 键 词:信号理论  购买决策行为  共享服务平台  组态视角  
收稿时间:2021-05-24
修稿时间:2021-09-05

Understanding Users' Purchase Behaviors on Information-Driven Decision-Making Sharing Service Platform——The Configuration Effect of Multi-Agent Generated Signals
Wang Ping,Liu Shiying,Cao Gaohui.Understanding Users' Purchase Behaviors on Information-Driven Decision-Making Sharing Service Platform——The Configuration Effect of Multi-Agent Generated Signals[J].Library and Information Service,2021,65(23):90-99.
Authors:Wang Ping  Liu Shiying  Cao Gaohui
Institution:1. School of Information Management, Central China Normal University, Wuhan 430079;2. Hubei Data Governance and Intelligent Decision Research Center, Wuhan 430079
Abstract:Purpose/significance] This paper aims to explore the interactive impact of information generated by multiple entities on purchasing behaviors of resource demanders on the shared service platform, so as to facilitate the recovery and sustainable development of sharing economy in the post-epidemic era.Method/process] Based on the signal theory, combining information features generated by multiple-agents, this paper constructed a configuration model of users' purchasing behaviors of information-oriented decision-making sharing service platform. Taking the sharing accommodation platform as an example, this paper used Python to crawl Chengdu's shared housing data on the Airbnb platform, and used the fuzzy set qualitative comparative analysis (fsQCA) to identify the configuration effect of information generated by multiple entities on users' purchasing behaviors.Result/conclusion] The results show that there are three equivalent paths encouraging users' purchase behavior, and among which there is one necessary condition. There are also three combinations of information characteristics that discourage the purchasing behaviors of sharing platform users, and among which there is one necessary condition. The findings confirmed that the path leading to users' purchasing behaviors and the path of non-purchasing behaviors are not the opposite.
Keywords:signal theory  purchasing decision behavior  sharing service platform  configuration perspective  
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