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Investigation on Investment in Drone Technology in Last Mile Delivery in UAE

  • Ajman University

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

1 Scopus citations

Abstract

Technology advancement in last-mile delivery is creating enormous opportunities for the industry's development. Current research is focused on unmanned aerial vehicles(drones) as an alternate delivery method for courier services. The data was acquired from a courier service provider in the United Arab Emirates that used the traditional home delivery option. The research was conducted using a Monte Carlo simulation and a real option technique to evaluate the project based on four scenarios. The study's findings suggest that the labor cost for home delivery has the most influence on project investment. It is recommended to bill the service at the same rate as a typical residential delivery. However, the service is offered at a price that is greater than the typical residential delivery while covering business taxes. The study's contribution is to evaluate the project by taking corporation tax payments and costs into account.

Original languageEnglish
Title of host publication2024 International Conference on Decision Aid Sciences and Applications, DASA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350369106
DOIs
StatePublished - 2024
Event2024 International Conference on Decision Aid Sciences and Applications, DASA 2024 - Manama, Bahrain
Duration: 11 Dec 202412 Dec 2024

Publication series

Name2024 International Conference on Decision Aid Sciences and Applications, DASA 2024

Conference

Conference2024 International Conference on Decision Aid Sciences and Applications, DASA 2024
Country/TerritoryBahrain
CityManama
Period11/12/2412/12/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Drones
  • Last Mile Delivery
  • Middle East
  • Real Options Approach
  • Risk Evaluation
  • United Arab Emirates
  • Unmanned Arial Vehicle

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