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Combining or Separating Forward and Reverse Logistics

机译:结合或分离正向和逆向物流

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摘要

Purpose – While forward logistics handles and manages the flow of goods downstream in the supply chain from suppliers to customers, reverse logistics (RL) manages the flow of returned goods upstream. A firm can combine reverse logistics with forward logistics, keep the flows separated, or choose a position between the two extremes. The purpose of this paper is to identify the contextual factors that determine the most advantageous position, which the paper refers to as the most advantageous degree of combination.Design/methodology/approach– The paper first develops a scale ranging from 0% combination to 100% combination (i.e. full separation). Second, using contingency theory the paper identifies the contextual factors described in RL-literature that determine the most advantageous degree of combination. The set of factors is subsequently tested using a case study, which applies a triangulation approach that combines a qualitative and a quantitative method.Findings – Results show six distinct contextual factors that determine the most advantageous degree of combination. Examples of factors are technical product complexity, product portfolio variation, and the loss of product value over time.Practical implications – For practitioners the scale of possible positions and set of contextual factors constitute a decision making framework. Using the framework practitioners can determine the most advantageous position of the scale for their firm.Originality/value – Much RL-research addresses intra-RL issues while the relationship between forward and reverse logistics is under-researched. This paper contributes to RL-theory by identifying the contextual factors that determine the most advantageous relationship between forward and reverse logistics, and proposes a novel decision making framework for practitioners.
机译:目的–前向物流处理和管理从供应商到客户的供应链下游的货物流,而逆向物流(RL)管理上游的退货流。公司可以将反向物流与正向物流相结合,保持流程分离,或在两个极端之间选择位置。本文的目的是确定确定最有利位置的背景因素,本文将其称为最有利的组合程度。设计/方法/方法-本文首先制定了从0%组合到100的范围%组合(即完全分离)。其次,使用权变理论,本文确定了RL文学中描述的语境因素,这些语境因素决定了组合的最有利程度。随后使用案例研究对这组因素进行测试,该案例研究采用了定性和定量方法相结合的三角剖分方法。结果–结果显示六个不同的背景因素决定了最有利的结合程度。因素的示例包括技术产品复杂性,产品组合变化以及产品价值随时间的流失。实际意义–对于从业者,可能的职位规模和背景因素构成了决策框架。使用该框架,从业人员可以确定自己公司规模中最有利的位置。原始数据/价值–很多RL研究都解决了RL内部问题,而对正向和反向物流之间的关系却缺乏研究。本文通过确定确定正向和反向物流之间最有利关系的上下文因素,为RL理论做出了贡献,并为从业者提出了一个新颖的决策框架。

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