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Logistics Solutions to Support Cross Border E-Commerce Towards China: The Case of the Apparel Industry

机译:支持跨境电子商务进入中国的物流解决方案:以服装业为例

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Purpose: In the past few years China has experienced a significant growth of both its economy and the adoption of technologies. With 310 billion dollars turnover it has become one of the biggest B2C ecommerce markets in the world (WorldPay 2015). As Chinese consumers are generally leaned towards buying international brands, entering this market while exploiting the rising trend of online and mobile commerce adoption might be an interesting opportunity for western fashion companies. However, the ultimate success of an e-commerce initiative is strictly dependent on the effectiveness of the distribution process. Geographical and cultural distance, expected service level, tariff and non-tariff barriers are some of the elements making this activity more complex in a global environment. The aim of this paper is to provide a quantitative model to compare different logistic solutions underlying a B2C e-commerce initiative in China. The analysis takes the perspective of a European firm operating in the apparel industry. Research Approach: The paper has an empirical approach. It presents an Activity-based model to quantify the logistics costs of three logistics solutions that can be adopted to sell online in an international context. The alternatives have been identified through interviews and context data have been derived from case studies. The model has been eventually validated by industry experts and practitioners. The considered logistics options are (i) distribution from a warehouse located in China, (ii) distribution through a sorting hub located in China, and (iii) distribution from a warehouse in the Country of origin through express couriers. By elaborating some specific data (e.g. weight and volume of the garment) as inputs, the model returns the distributive solution associated to the lowest logistics costs. In addition, a sensitivity analysis is provided to take into account variations in both the annual demand of the item and its value. Originality: This study simultaneously addresses three major subjects which are relevant for a fashion company, i.e. the design of a logistics strategy, the use of e-commerce and the implementation of an interna-tionalisation project. A preliminary literature review has revealed that these themes have largely been debated as stand-alone topics while the "intersection" of these fields has not been adequately investigated yet. Research Impact: The present study contributes to create knowledge in the field of technology-driven internationalisa-tion strategies. At the same time, it paves the way to additional meaningful research that can be originated by addressing some of its limitations. For instance, one of the hints for future research on this topic is to evaluate the impact of product returns which can be complex to manage at an international level. Practical Impact: The main beneficiaries of this study are producers and/or retailers operating in the apparel industry. They can learn some of the logistics alternatives to serve the promising Chinese B2C e-commerce market and identify the most efficient strategy for them.
机译:目的:在过去的几年中,中国经济和技术的采用均取得了显着增长。它以3100亿美元的营业额成为全球最大的B2C电子商务市场之一(WorldPay 2015)。由于中国消费者通常倾向于购买国际品牌,因此在利用在线和移动商务采用率上升趋势的同时进入该市场对于西方时装公司而言可能是一个有趣的机会。但是,电子商务计划的最终成功完全取决于分销过程的有效性。地理和文化距离,预期的服务水平,关税和非关税壁垒是使这一活动在全球环境中变得更加复杂的一些因素。本文的目的是提供一个定量模型,以比较中国B2C电子商务计划背后的不同物流解决方案。该分析从一家欧洲服装行业公司的角度出发。研究方法:本文采用经验方法。它提出了一个基于活动的模型来量化三种物流解决方案的物流成本,这些物流解决方案可以在国际范围内用于在线销售。通过访谈确定了替代方案,并从案例研究中获得了背景数据。该模型最终得到了行业专家和实践者的验证。所考虑的物流选择是(i)从位于中国的仓库进行配送,(ii)通过位于中国的分拣中心进行配送,以及(iii)从原产国的仓库通过快递公司进行配送。通过详细说明一些特定数据(例如衣服的重量和体积)作为输入,该模型返回与最低物流成本相关的分布式解决方案。此外,还提供了敏感性分析,以考虑到该项目的年度需求及其价值的变化。独创性:这项研究同时涉及与时装公司相关的三个主要主题,即物流战略的设计,电子商务的使用和国际化项目的实施。初步的文献综述表明,这些主题在很大程度上被作为独立主题进行了辩论,而这些领域的“交叉点”尚未得到充分的研究。研究影响:本研究有助于在技术驱动的国际化战略领域中创造知识。同时,它为解决某些局限性而引发的其他有意义的研究铺平了道路。例如,有关此主题的未来研究的提示之一是评估产品退货的影响,在国际层面上,产品退货的管理可能很复杂。实际影响:这项研究的主要受益者是从事服装行业的生产商和/或零售商。他们可以学习一些物流替代方案,以服务有希望的中国B2C电子商务市场,并确定最有效的战略。

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