Analyzing Logistics 4.0's Impact on 3PL Performance During Pandemics: A South African Retail Perspective

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The complexity and unpredictability of the contemporary business environment are expanding at an alarming rate for multinational corporations. As a result of the altering conditions caused by the global spread of the COVID-19 pandemic, there is now more competition for specific goods. This study investigated the feasibility of Logistics 4.0 in limiting the risks posed by pandemics on the main performance metrics of the third-party logistics (3PL) industry in the South African retail sector. This study employed a quantitative research methodology. Unfamiliar technologies are viewed with skepticism by industry specialists, as evidenced by the study's findings, which were gathered via a structured questionnaire. In addition, it was discovered that the deployment of IoT technology is regarded the most promising countermeasure against the pandemic's consequences on industry.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages58-62
Number of pages5
ISBN (Electronic)9798350323153
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023 - Singapore, Singapore
Duration: 18 Dec 202321 Dec 2023

Publication series

Name2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023

Conference

Conference2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
Country/TerritorySingapore
CitySingapore
Period18/12/2321/12/23

Keywords

  • 3PL
  • Key performance indicators
  • Logistics
  • Logistics 4.0
  • Pandemic risks

ASJC Scopus subject areas

  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Statistics, Probability and Uncertainty
  • Industrial and Manufacturing Engineering
  • Modeling and Simulation
  • Strategy and Management

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