社区物流运营现状探究
Research on Community Logistics Operation Status
摘要: 近几年社区物流实体店随着物流企业的逐渐扩大,已经成为社区门店中的一种常见的形式,也是解决物流最后一公里服务的良好产物。目前我国发展较好的几家社区物流实体店都存在不同程度的问题,本文为探究我国社区物流运营的现状问题,主要以顺丰嘿客为基础,从顺丰嘿客现存的成本高于承受力以及缺乏合作意识两方面进行描述和分析,并且提出相应的解决方法,以期提高顺丰嘿客的企业竞争力,同时对社区物流的发展有一定的借鉴意义。
Abstract: In recent years, with the gradual expansion of logistics enterprises, community logistics stores have become a common form of community stores, and it is also a good product for solving the last kilometer of logistics services. At present, several community logistics entity stores with good development in China all have different degrees of problems. This article explores the current situation of community logistics operations in China, mainly based on Shunfeng. This paper describes and analyzes the existing cost of Shunfeng huike and the lack of cooperation consciousness, and puts forward the corresponding solutions in order to improve the enterprise’ competitiveness of Shunfeng huike, and at the same time has certain reference significance for the development of community logistics.
文章引用:崔璐, 向朝钊. 社区物流运营现状探究[J]. 服务科学和管理, 2018, 7(6): 162-169. https://doi.org/10.12677/SSEM.2018.76020

参考文献

[1] 何谦. 基于金牛区社区服务的区域城市物流体系研究[D]: [硕士学位论文]. 成都: 西南交通大学, 2008.
[2] 宋光兴. 基于O2O模式的网络团购现状分析及对策初探[J]. 现代企业文化, 2012(3): 144-145.
[3] 任晗, 钟正强. 网络团购模式下的消费者行为探析[J]. 商业时代, 2011(22): 48-49.
[4] 兰瑶. O2O电子商务模式的发展优势团[J]. 商情, 2013(9): 74.
[5] 苏静, 瞿旭君. 传统企业电商之道[M]. 北京: 电子工业出版社, 2013.
[6] 杨诚, 孟晓丽. 我国O2O电子商务模式探究[J]. 网友世界, 2013(23): 88.
[7] 宋华. 现代物流与供应链管理[M]. 北京: 知识管理出版社, 2001: 18-25.
[8] 马士华. 基于供应链的企业物流管理一战略与方法[M]. 北京: 科学出版社, 2005: 8-10.
[9] 王耀. 我国零售市场发展现状及趋势分析[M]. 北京: 中国劳动社会保障出版社, 2006.
[10] Hsiao, C.Y. (2011) A Passenger Demand Model for Air Transportation in a Hub-and-Spoke Network. Transportation Research, 47, 791-800.
[11] Doroszewski, J. (2012) Ethical and Methodological Aspects of Medical Computer Data and Bases and Knowledge Bases. Theoretical Medicine, 9, 117-128. [Google Scholar] [CrossRef
[12] Eigen, A.M. (2014) Foundational Methodology for Creating Supplemental, toward Using Big Data Techniques. Procedia-Social and Behavioral Sciences, 162, 61-69. [Google Scholar] [CrossRef