Analysis of barriers to implement drone logistics

Companies are adopting innovative methods for responsiveness and efficiency in the logistics sector. The implementation of drones in logistics sector is a move in this direction. Potential obstacles in the smooth adoption of drones in the logistics sector must be thoroughly analysed. The present study identifies and prioritises the barriers of drone logistics implementation based on their criticality by using the fuzzy Delphi method (FDM) and the analytic hierarchy process (AHP). Initially, 34 barriers are identified through expert opinion and extensive literature review. Furthermore, relevant barriers are finalised among all the barriers by using the FDM. Finally, prioritisation of the barriers based on their criticality is done by AHP technique. The study concludes thatregulationsandthreat to privacy & securityare the most critical barriers to implement drones in logistics sector.Public perception & psychological,environmental,technical issues, andeconomic aspectsare the other identified critical barriers. The managerial implications of the findings that could help practitioners and policymakers in the effective implementation of drones in the logistics sector are also discussed.

Automated summary

The study identified and prioritized barriers to the implementation of drones in the logistics sector using the fuzzy Delphi method and analytic hierarchy process. It found that regulations and threat to privacy & security are the most critical barriers, with public perception & psychological, environmental, technical issues, and economic aspects also being identified as crucial barriers. The managerial implications of the findings for practitioners and policymakers in effectively implementing drones in the logistics sector were also discussed.