Purpose: The objective of this study was to understand the practical implications of the adopted sustainable, namely environmental practices in the workplace. This article’s research purpose is to understand if the sustainability and environmental measures implemented in the proposed airport management sector case study, have impact on employees, not only in their workplace, but also in their daily routines. Theoretical Framework: Authors used secondary and primary research methods, conducting a literature review, by analyzing published articles and company reports regarding the relevant concerned concepts. The qualitative research enabled the development the primary quantitative design of the conducted questionnaire survey. Design/Methodology/Approach: The authors performed questionnaire surveys to Lisbon airport employees, conducted a quantitative analysis and tested the efficiency of the proposed measures to construct a proposal that aims to improve sustainability practices in business management and daily routines. Findings: The presented results propose motivation and willingness of the respondents for sustainable practices and emphasize the relevance of change management and consolidation of specific sustainable measures in a widespread of day-to-day practices. The neutral position of respondents regarding the specific action of the organization, propose the need for a plan of action for future interactions, with further involvement, participation and information, thus, enhancing the individual and collective impact in the sector, society and in the world, as sustainable corporate practices are shown to be replicated in personal and family environment. Research, Practical & Social Implications: This paper enables the exploration of the main literature on sustainability and the understanding of practical implications for employees on their routines.   Originality/Value: The study proposes an understanding, in practice, of the impact of adopted measures on employees', namely in their actions and pleasure or satisfaction derived of working in a company with s sustainable practices.

Objectives: This study explores how Big Data and Artificial Intelligence (AI) enhance airport security while improving passenger experience. It investigates how these technologies personalize services, optimize operations, and mitigate security risks, aiming for a synergistic integration of both dimensions. Theoretical Framework: Grounded in digital transformation literature, this study examines the application of Big Data and AI in aviation. Previous research highlights their role in streamlining security procedures and improving efficiency while addressing challenges related to privacy, passenger acceptance, and regulatory compliance. Method: A mixed-methods approach was adopted, combining a literature review and an online survey assessing passengers’ perceptions of Big Data and AI in security, experience, and technological priorities. Statistical analysis identified trends in acceptance and concerns. Results and Discussion: Findings indicate increasing acceptance of digital technologies, especially among frequent travelers. Most respondents believe AI and Big Data can improve security without compromising comfort. However, privacy concerns emerged as a major challenge (56%), highlighting the need for transparent data protection measures. Queue management and security threat prevention were the most valued applications. Research Implications: This study provides insights for airport management and policymakers, emphasizing the balance between security and passenger satisfaction in technology adoption. Originality/Value: Unlike prior studies focusing solely on security or efficiency, this research integrates both perspectives, offering empirical data on passenger perceptions and reinforcing the importance of ethical, strategic AI and Big Data implementation in airports.

Nowadays, when it's a priority to support the recovery of the civil aviation industry, it is essential to consider the role played by technology, specifically artificial intelligence. The goal of this study is to dissect how this powerful tool can contribute to the growth of the airport sector, starting by raising the research question, “How can artificial intelligence add value to an airport?”. It is within the scope of its application that the concept of performance is highlighted, based on measuring the efficiency level of operational activities, through principles such as consumer trust, service quality and opportunity for organizational cost reduction, driving the investment to critical value-creating elements for airport management. By exposing the presently known cases of AI application, it becomes necessary to address their level of expansion across the world, outlining their relationship with the responsible factors for value growth, and enabling the development of forecasts, regarding the investment in airport security, which is currently limited to only certain segments. Request access from your librarian to read this chapter's full text.

Airports are arguably the most well-prepared structures for crises and contingencies, and their staff undergo abundant training for these types of events; however, the COVID-19 pandemic events were largely unpredictable, thus creating a somewhat rare happening in the industry: a novel type of crisis. This study aims to realize the types of strategies and elements that made a difference in positive and negative critical incidents using semi-structured interviews and the critical incident technique to managers from Portuguese and Romanian airports focusing on the type of skills that the management required and developed in a crisis. In accordance with the competency-based education framework, leadership, communication, subject matter excellence, teamwork, ethics and integrity, and resilience and innovation were crucial soft skills in critical situations. The present study contributes with new insights on airport managers and leaders facing crisis situations, key issues, and strategies during the first wave of COVID-19.