Methods for identifying, prioritising and planning for emerging technologies in air traffic management industry

The rapid advancement of technology in the air traffic management (ATM) industry demands effective methods to identify, prioritise, and plan for emerging technologies. This research used qualitative analysis through expert interviews to investigate these methods, highlighting the importance of structured frameworks such as technology intelligence, technology foresight, and technology roadmaps, along with industry collaboration. A framework of preferred methods was developed to guide ATM organisations in navigating technological uncertainties. The study emphasises proactive planning and early identification to enhance competitiveness and operational efficiency, thus contributing to the broader understanding of emerging technologies in the ATM industry.

Authors

Institutions

Publication Details

Journal
The South African Journal of Industrial Engineering
Published
2025-01-01
DOI
https://doi.org/10.7166/36-1-3146
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Methods for identifying, prioritising and planning for emerging technologies in air traffic management industry

Petrus Tshotleho Letaba, Mpilo Mkhize
The South African Journal of Industrial Engineering
Air Traffic Management and Optimization
article

Methods for identifying, prioritising and planning for emerging technologies in air traffic management industry

Petrus Tshotleho Letaba, Mpilo Mkhize
article en

Abstract

The rapid advancement of technology in the air traffic management (ATM) industry demands effective methods to identify, prioritise, and plan for emerging technologies. This research used qualitative analysis through expert interviews to investigate these methods, highlighting the importance of structured frameworks such as technology intelligence, technology foresight, and technology roadmaps, along with industry collaboration. A framework of preferred methods was developed to guide ATM organisations in navigating technological uncertainties. The study emphasises proactive planning and early identification to enhance competitiveness and operational efficiency, thus contributing to the broader understanding of emerging technologies in the ATM industry.

The South African Journal of Industrial EngineeringVol. 36(1)
University of Pretoria (ZA)
Openalex Percentile: Top 84%
Air Traffic Management and Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.