Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2060
Title: Evaluating Barriers to the Adoption of Delivery Drones in Rural Healthcare Supply Chains: Preparing the Healthcare System for the Future
Authors: Koshta, Nitin
Devi, Yashoda
Chauhan, Chetna
Keywords: Drones
Medical services
Supply chains
Electronic commerce
Costs
COVID-19
Vaccines
Issue Date: 10-Oct-2022
Publisher: IEEE Transactions on Engineering Management
Abstract: Emerging technologies, such as delivery drones have enormous potential to revolutionize the rural healthcare supply chain (RHSC) and assist the countries in achieving sustainable development goal 3: good health and well-being. The advantages of delivery drones include faster delivery, high responsiveness, and a lack of dependence on road infrastructure. Given these advantages, prior literature on drone delivery has extensively explored their applicability in last-mile delivery from the e-commerce or retailer's perspective. However, their applicability in RHSC from an academic as well as practical perspective is still at a nascent stage. The present study fills this gap by examining the barriers inhibiting the adoption of delivery drones in RHSC using the Grey Decision-Making Trial and Evaluation Laboratory technique. The results suggest that “lack of government regulations” is the most critical barrier. The study findings indicate that seven barriers are causal, and six are the effect barriers. “Limited load carrying capacity,” “low flight range,” and “difficulty in flying in adverse weather conditions” are the most prominent cause barriers. Moreover, “lack of skilled manpower,” “limited accuracy of navigation system,” and “lack of leadership commitment” are the most prominent effect barriers. We also perform sensitivity analysis to prove the robustness of the study output. The study results provide an in-depth understanding to the decision-makers and policymakers to help pave the way for the successful adoption of delivery drones in RHSC.
URI: https://doi.org/10.1109/TEM.2022.3210121
http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2060
ISSN: 0018-9391
1558-0040
Appears in Collections:Journal Articles

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.