运筹与管理 ›› 2017, Vol. 26 ›› Issue (11): 1-6.DOI: 10.12005/orms.2017.0253

• 理论分析与方法探讨 •    下一篇

基于UTAUT视角的众包物流大众参与行为影响因素研究

郭捷1,2,3, 王嘉伟2   

  1. 1.中央财经大学 商学院,北京 100081;
    2.中央民族大学 管理学院,北京 100081;
    3.清华大学 经济管理学院,北京 100084;
  • 收稿日期:2016-05-16 出版日期:2017-11-25
  • 作者简介:郭捷,女,(1976-),湖南桃源人,副教授,硕士生导师,博士,研究方向:运营管理、风险管理、信息系统等;王嘉伟(通讯作者),男,(1993-),河南平顶山人,硕士研究生,研究方向:电子商务,物流与供应链管理。
  • 基金资助:
    中央高校基本科研业务费用资助项目

Research on the Effect Factors of Participation Behavior to the Crowdsourcing Logistics Based on the UTAUT

GUO Jie1,2,3, WANG Jia-wei2   

  1. 1.Business school, Central University of Finance and Economics,100081 Beijing, China;
    2.Management School, MinZu University of China, 100081 Beijing, China;
    3.School of Economics and Management, Tsinghua University,100084 Beijing, China;
  • Received:2016-05-16 Online:2017-11-25

摘要: 众包物流作为一种新兴的终端物流配送模式,为有效解决当下火爆的本地化电商带来的“物流瓶颈”提供了全新的思路。本文以整合的技术接受和使用理论(UTAUT)为背景,提出了众包物流大众参与行为影响因素研究模型,采用调查问卷的形式搜集数据,并使用结构方程模型(SEM)的方法对收集到的296份有效样本进行分析。研究发现对众包物流大众参与行为的影响因素按总影响力从大到小排列依次为:便利条件、参与意愿、获益期望、社会影响、感知风险。最后,结合研究结果对众包物流的发展提出了针对性的对策和建议。

关键词: 众包物流, UTAUT, 参与行为, 影响因素

Abstract: Crowdsourcing logistics as a new terminal logistics distribution mode, provides a new perspective for solving the local logistics bottleneck in E-commerce effectively. Based on Unified Theory of Acceptance and Use of Technology(UTAUT)the crowdsourcing logistics public participation behavior effect factors model is provided in this paper, and then through analyzing the 296 effective questionnaire samples by structural equation model(SEM) , the results Indicate that influence effect factors are in descending order: convenience condition, public participation will benefit expectation, social influence and perceived risk. Finally, the development suggestions of crowdsourcing logistics are concluded.

Key words: crowdsourcing logistics, UTAUT, participation behavior, effect factors

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