{"title":"评估电子商务最后一英里物流隐藏的风险障碍","authors":"Rohit Raj , Arpit Singh , Vimal Kumar , Tanmoy De , Shalini Singh","doi":"10.1016/j.clscn.2023.100131","DOIUrl":null,"url":null,"abstract":"<div><p>Due to increasing last-mile logistics complexity, the e-commerce business's last-mile delivery has emerged as an imperative issue that impedes the advancement of contemporary last-mile logistics practices. The paper attempts to identify last-mile logistics associated risk hurdles from e-commerce literature and prioritize them on their significantly affecting logistics operations. The factors were identified by reflecting on the recent literature and internet resources coupled with in-depth brainstorming with experts in the field of Logistics Company including, practitioners, and employers. Two ranking methods namely TODIM (TOmada de Decisao Interativa Multicriterio in Portuguese “interactive and multicriteria decision making” in English) and ARAS (Additive Ratio ASsessment method) are used together to rank order the major risk hurdles and criteria. The results of this study present that lack of visibility (LV), low-efficiency levels (LEL), and unpredictable elements (UE) are ranked as the top three major risk hurdles whereas real-time information on a package’s location (LV1), putting a GPS tracking system to track last- mile journey (OT3) and users wants on time location of their package (LV2) are ranked as top three most significant criteria affecting the practices of modern last-mile logistics in e-commerce businesses. The findings can be used by logistics firms, organizations, and policymakers to better understand the issues and develop strategies to address them, making last-mile delivery a more efficient also better form of awareness for practitioners who are engaged in third-party logistics firms. The novelty of this study is to identify the primary risk hurdles affecting the practices of last-mile logistics and to prioritize them using ranking methods such as TODIM and ARAS. This offers advice for managers and researchers to consider how to handle the logistical uncertainty in e-commerce enterprises.</p></div>","PeriodicalId":100253,"journal":{"name":"Cleaner Logistics and Supply Chain","volume":"10 ","pages":"Article 100131"},"PeriodicalIF":6.9000,"publicationDate":"2023-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772390923000409/pdfft?md5=d37fc6dae19a7c3a9dd68940061bc3f0&pid=1-s2.0-S2772390923000409-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Assessing the e-commerce last-mile logistics’ hidden risk hurdles\",\"authors\":\"Rohit Raj , Arpit Singh , Vimal Kumar , Tanmoy De , Shalini Singh\",\"doi\":\"10.1016/j.clscn.2023.100131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Due to increasing last-mile logistics complexity, the e-commerce business's last-mile delivery has emerged as an imperative issue that impedes the advancement of contemporary last-mile logistics practices. 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引用次数: 0
摘要
由于最后一英里物流的复杂性日益增加,电子商务业务的最后一英里交付已经成为阻碍当代最后一英里物流实践进步的紧迫问题。本文试图从电子商务文献中确定最后一英里物流相关的风险障碍,并根据其对物流运营的显著影响对其进行优先排序。这些因素是通过反思最近的文献和互联网资源,以及与物流公司领域的专家(包括从业者和雇主)进行深入的头脑风暴来确定的。采用TODIM(葡萄牙语:TOmada de Decisao Interativa multicriiterio,英文:interactive and multicricriteria decision making)和ARAS (Additive Ratio ASsessment method)两种排序方法对主要风险障碍和标准进行排序。本研究的结果表明,缺乏可视性(LV)、低效率水平(LEL)和不可预测因素(UE)被列为三大主要风险障碍,而包裹位置的实时信息(LV1)、用GPS跟踪系统跟踪最后一英里旅程(OT3)和用户希望包裹准时到达的位置(LV2)被列为影响电子商务现代最后一英里物流实践的三大最重要标准。这些发现可以被物流公司、组织和政策制定者用来更好地理解问题并制定解决问题的战略,使最后一英里的交付更有效,也使从事第三方物流公司的从业者更好地意识到这一点。本研究的新颖之处在于确定影响最后一英里物流实践的主要风险障碍,并使用TODIM和ARAS等排名方法对其进行优先排序。这为管理者和研究者思考如何处理电子商务企业的物流不确定性提供了建议。
Assessing the e-commerce last-mile logistics’ hidden risk hurdles
Due to increasing last-mile logistics complexity, the e-commerce business's last-mile delivery has emerged as an imperative issue that impedes the advancement of contemporary last-mile logistics practices. The paper attempts to identify last-mile logistics associated risk hurdles from e-commerce literature and prioritize them on their significantly affecting logistics operations. The factors were identified by reflecting on the recent literature and internet resources coupled with in-depth brainstorming with experts in the field of Logistics Company including, practitioners, and employers. Two ranking methods namely TODIM (TOmada de Decisao Interativa Multicriterio in Portuguese “interactive and multicriteria decision making” in English) and ARAS (Additive Ratio ASsessment method) are used together to rank order the major risk hurdles and criteria. The results of this study present that lack of visibility (LV), low-efficiency levels (LEL), and unpredictable elements (UE) are ranked as the top three major risk hurdles whereas real-time information on a package’s location (LV1), putting a GPS tracking system to track last- mile journey (OT3) and users wants on time location of their package (LV2) are ranked as top three most significant criteria affecting the practices of modern last-mile logistics in e-commerce businesses. The findings can be used by logistics firms, organizations, and policymakers to better understand the issues and develop strategies to address them, making last-mile delivery a more efficient also better form of awareness for practitioners who are engaged in third-party logistics firms. The novelty of this study is to identify the primary risk hurdles affecting the practices of last-mile logistics and to prioritize them using ranking methods such as TODIM and ARAS. This offers advice for managers and researchers to consider how to handle the logistical uncertainty in e-commerce enterprises.