Data analytics and global logistics performance: an exploratory study of informatization in the logistics sector

IF 1.2 Q4 MANAGEMENT LogForum Pub Date : 2022-06-30 DOI:10.17270/j.log.2022.664
Muhammad Fahad Anwar, W. Wong, Nor Hasliza Saad, Naveed Mushtaq
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引用次数: 3

Abstract

: Background: Informatization has enabled global logistics and supply chains (LSC) to capitalize on data-driven analytics to improve logistics performance. At the country level, logistics performance is gauged through the logistics performance index (LPI), where globally 61.25% or 98 countries perform below the mean LPI score. Previous studies focused on logistics informatization in high and moderate LPI rank economies. The paper aims to conduct an exploratory case study in a low LPI performing country to assess the informatization practices of logistics entities and develop a logistics informatization continuum to unlock data analytics for other countries. Methods: The study implements qualitative methods to develop strategic recommendations to reduce global logistics imbalance. We employ a two-layer methodology consisting of thematic analysis and a novel strategic choice approach (SCA) to involve stakeholders for recommendations on obstruction. For thematic analysis, 16 semi-structured interviews were conducted from logistics companies, also onboard 10 trade associations and government representatives for the SCA analysis. Results: We observed many obstructions in informatization; low willingness on informatization, fear of information leakage by humans, low-reciprocity for collaboration, the myth of information and communication technologies (ICT) as an expensive tool, self-interest, and opportunistic behavior. Conclusion: Information-centric and integrated LSC enables data-driven technologies for real-time decision making, vigilance, and data analytics to distinguished the success of a country’s logistics performance. Originality: This study explores the informatization conformity in the logistics sector to connect data analytics. We introduced a novel strategic choice approach in the technology domain for problem structuring. The paper further contributes by suggesting a logistics informatization continuum for low LPI countries to straighten digitalization in the logistics sector.
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数据分析与全球物流绩效:物流部门信息化的探索性研究
背景:信息化使全球物流和供应链(LSC)能够利用数据驱动的分析来提高物流绩效。在国家层面,物流绩效是通过物流绩效指数(LPI)来衡量的,全球61.25%或98个国家的物流绩效低于LPI平均分。以往的研究主要集中在高、中等LPI排名经济体的物流信息化。本文旨在在低LPI表现国家进行探索性案例研究,以评估物流实体的信息化实践,并开发物流信息化连续体,为其他国家解锁数据分析。方法:采用定性方法,提出减少全球物流失衡的战略建议。我们采用由主题分析和新颖的战略选择方法(SCA)组成的两层方法,让利益相关者就阻碍提出建议。为了进行主题分析,我们对物流公司、10个行业协会和政府代表进行了16次半结构化访谈,以进行SCA分析。结果:信息化过程中存在诸多障碍;信息化意愿低、担心人类泄露信息、协作互惠度低、信息通信技术作为昂贵工具的神话、自利和机会主义行为。结论:以信息为中心和集成的物流供应链使数据驱动技术能够用于实时决策、警戒和数据分析,从而区分一个国家物流绩效的成功。独创性:本研究探讨物流部门的信息化整合,以连接数据分析。我们在技术领域引入了一种新的策略选择方法,用于问题的结构化。本文通过建议低LPI国家的物流信息化连续体来进一步促进物流部门的数字化。
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来源期刊
LogForum
LogForum MANAGEMENT-
CiteScore
3.50
自引率
11.10%
发文量
31
审稿时长
20 weeks
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