Title: Stakeholder perception on challenges of artificial Intelligence implementation in Indian aviation industry: a focus group study

Authors: Aarushi Jain; Akhil Damodaran; Rupesh Kumar; Deepak Bangwal

Addresses: School of Business, University of Petroleum and Energy Studies (UPES), Knowledge Acres, Kandoli Campus, Dehradun, 248007, Uttarakhand, India ' School of Business, University of Petroleum and Energy Studies (UPES), Knowledge Acres, Kandoli Campus, Dehradun, 248007, Uttarakhand, India ' Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India ' School of Business, University of Petroleum and Energy Studies (UPES), Knowledge Acres, Kandoli Campus, Dehradun, 248007, Uttarakhand, India

Abstract: Artificial intelligence (AI) is regarded as an emerging and new face of modern technology or science. Although it has existed for decades, its presence and exigency have been realised recently, especially due to COVID-19. Global economies are experiencing and witnessing the Industrial Revolution 4.0. It becomes predominant for the aviation industry to take automation and AI and robotics one step ahead to develop an intelligent industry. The study is an attempt to understand the status of the Indian airport sector to identify where the industry is lacking in terms of technology, infrastructure, and standards and recommended practices (SARPs). This will further help to identify best practices that will improve AI implementation in the Indian airport sector. The experts are invited to understand their perception of AI and the challenges in implementing AI in the aviation industry post-COVID-19 pandemic with the help of a focus group discussion. The major themes are identified from the discussion, namely: the agility of the organisation, stakeholders' confidence, regulatory challenges, organisation capability. Hence, the study has some critical managerial implications of the identified factors.

Keywords: artificial intelligence; aviation industry; technology; focus group study; India; airports; COVID-19; Industry 4.0.

DOI: 10.1504/IJBIR.2024.141466

International Journal of Business Innovation and Research, 2024 Vol.35 No.1, pp.1 - 16

Received: 16 Jun 2021
Accepted: 27 Aug 2021
Published online: 16 Sep 2024 *

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