Abstract

The aerospace industry is experiencing an unprecedented scenario. The air travel drifted from years of constant growth and positive expectations to a place where the uncertainty is the most predominant distinctive. Consequently, the aerospace ecosystem needs to adapt to cope with challenges never faced before. Understanding the evolution of the aerospace ecosystem is thus essential to foster its progression. This research aims at the identification and categorisation of key enablers that have been linked to the growth of aerospace ecosystems. To this extent, key enablers are first identified and then categorised using interpretive structural modelling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) methodologies. An analysis is elaborated for a developed aerospace ecosystem, the United Kingdom, and an emergent aerospace ecosystem, Mexico. Results evidence a contrasting categorisation of key enablers among both ecosystems. On the other hand, the automotive ecosystem and geopolitical factors are considered as underpinning enablers for both aerospace ecosystems evolution.

Highlights

  • Since February 2020, the world has been facing an unprecedented public health emergency driven by the coronavirus (COVID-19), causing long-lasting consequences among industrial ecosystems of different nature

  • Key factors are identified through a literature review followed by the application of the interpretive structured modelling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) methodologies for their categorisation

  • The interpretive structural modelling (ISM) and MICMAC methodologies are used in this research for the categorisation of the key factors that have enabled aerospace ecosystems evolution

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Summary

INTRODUCTION

Since February 2020, the world has been facing an unprecedented public health emergency driven by the coronavirus (COVID-19), causing long-lasting consequences among industrial ecosystems of different nature. Thanks to the development of a new vaccine at the beginning of 2021, the global economy has started a slight recovery. It is still unsure when the world will go back to “normal”, it is imperative to be prepared for its evolution. The aim of this research is the identification and categorisation of key factors that have enabled the aerospace ecosystem evolution. To this extent, two contrasting aerospace ecosystems are analysed. Key factors are identified through a literature review followed by the application of the interpretive structured modelling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) methodologies for their categorisation

METHODS
Literature review Quantitative analysis
Autonomous 1 2 34
KEY FINDINGS AND DISCUSSION
Findings
LIMITATIONS
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