›› 2019, Vol. 31 ›› Issue (8): 219-229.

• 物流与供应链管理 • 上一篇    下一篇

分享经济下企业实施众包物流的影响因素研究

宾厚1, 王欢芳1, 谢国杰2   

  1. 1. 湖南工业大学商学院, 株洲 412000;
    2. 广州大学工商管理学院, 广州 510000
  • 收稿日期:2017-12-19 出版日期:2019-08-28 发布日期:2019-09-11
  • 通讯作者: 王欢芳(通讯作者),湖南工业大学商学院教授,博士
  • 作者简介:宾厚,湖南工业大学商学院副教授,博士后;谢国杰,广州大学工商管理学院博士研究生。
  • 基金资助:

    国家社会科学基金项目(19BGL177);国家自然科学基金青年项目(71702053);教育部人文社会科学研究规划基金课题(18YJA630001);湖南省社会科学成果评审委员会立项课题(XSP19YBZ166);湖南省社科基金立项课题(16YBA137;17YBA140);湖南省自科基金项目(2019JJ50124);广州大学全日制研究生“基础创新”项目(2017GDJC-M25)。

Study on the Influencing Factors of Crowdsourcing Logistics under Sharing Economy

Bin Hou1, Wang Huanfang1, Xie Guojie2   

  1. 1. School of Business, Hunan University of Technology, Zhuzhou 412000;
    2. School of Management, Guangzhou University, Guangzhou 510000
  • Received:2017-12-19 Online:2019-08-28 Published:2019-09-11

摘要:

分享经济背景下,企业在实施众包物流时会受到哪些因素影响以及该如何规避风险是亟需解决的问题。文章以PPM(推-拉-锚定)理论为基础框架,构建了企业实施众包物流的影响因素模型,研究物流运营模式、行业环境、外部激励、内部效益、转换的安全性和转换成本与企业实施众包物流的关系。实证结果表明,物流运营模式、外部激励、内部效益对企业实施众包物流具有显著的正向影响,转换的安全性具有显著的负向影响。对此,文章从企业众包物流实施决策、形象塑造、配送网点布局和风险防范四个方面提出针对性建议。

关键词: 分享经济, 众包物流, PPM理论模型, 影响因素, SmartPLS

Abstract:

In the context of sharing economy,it is important for companies to know what factors will affect the crowdsourcing logistics and how to avoid risk. This paper, based on the PPM (Push-Pull-Mooring) theory, constructs a model regarding the factors that influence companies' crowdsourcing logistics. This paper mainly studies the relationship among logistics operation pattern, industry environment, external incentive, internal benefit, security of the conversion and conversion cost with the implementation of crowdsourcing logistics. The empirical results show that logistics operation pattern, external incentives and internal benefits have a significant positive impact on the implementation of crowdsourcing logistics, and the security of transformation has a significant negative impact. In this regard, this paper puts forward four pertinent suggestions from the perspective of crowdsourcing logistics decision-making, image-building, distribution network layout and risk prevention.

Key words: sharing economy, crowdsourcing logistics, PPM theoretical model, influencing factors, SmartPLS