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.

In today’s competitive aviation landscape, marked by evolving consumer expectations and economic volatility, airlines increasingly rely on ancillary revenues to sustain profitability beyond traditional fares. This study presents a systematic literature review of peer-reviewed academic sources to examine the strategic evolution and implementation of ancillary revenue mechanisms across various airline business models. It contrasts how full-service, low-cost, and ultra-low-cost carriers adopt these strategies, focusing on consumer behavior, willingness-to-pay, and regional differences in response to unbundled services. Findings highlight that successful ancillary revenue generation depends not only on cost-efficient distribution but also on dynamic pricing, service personalization, and digital integration. Airlines that embrace technological innovation—especially in pricing algorithms and tailored service offerings—consistently outperform competitors in per-passenger revenue. Moreover, the study underscores the importance of aligning revenue strategies with customer expectations to avoid eroding brand trust. By synthesizing insights across global markets, the article provides a comprehensive framework for understanding how ancillary revenues function as levers for competitive advantage, financial resilience, and strategic differentiation in modern commercial aviation.

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.