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This study aims to evaluate and rank green airlines by proposing a novel approach that integrates different multi-criteria decision-making (MCDM) techniques.

Three MCDM techniques were adopted: Decision-Making Trial and Evaluation Laboratory (DEMATEL) addressed the impact relationships between Airline Green Operations (AGOs) and classified them into cause and effect; analytical hierarchy process (AHP) prioritized these actions and found their global and local weights; and Techniques to Order Preferences by Similarity to Ideal Solution (TOPSIS) used the weighted actions to evaluate and rank 20 green airlines as a case study.

DEMATEL outcomes provide the first AGOs impact relationships map (IRM), classify AGOs into cause and effect actions and provide better understanding how these green operations affect each other. According to the AHP outcomes, “GHG1and fuel” and “GHG2 and Energy” were the most important set of actions, respectively. Finally, a new evaluation and ranking for 20 green airlines has been presented.

The AGOs IRM provides a better understanding of the airline green operations and how they affect each other. The new evaluation and ranking technique helps airlines to identify their green strength and weakness areas and supports their sustainability processes.

The increasing importance of AGOs evaluation and analysis highlights the importance of green airlines studies like this one. This study analyzed AGOs, their impact relationships, developed their IRM and provided a new worldwide green airline benchmarking base.

This study aims to identify the effective operational strategies for airlines in a pandemic that allow them to recover and bounce back smoothly.

This study adopted quantitative methodology based on secondary data published by the airlines related to operational and performance indicators. The total number of airlines surveyed was 145. The sample of study covers all the following regions: Africa, Asia, Europe, the Middle East, North America and South America. The data analysis of this research passed through several phases to compare the situation before and during pandemic period.

The effective operational strategy patterns during the outbreak of the COVID-19 pandemic comprise three hybrid strategies and one scheduling strategy. It appears from these strategy models that four strategic alternatives are available for international airlines to adopt, while two strategic alternatives are available for regional airlines. The strategy alternatives for regional and international airlines are all effective, but those of the international airlines are the more effective ones.

Previous studies rarely adopted the theory of operations strategy configuration (emphasizing taxonomies-based perspective) and the organizational resilience theory (emphasizing capability-based perspective) to identify the effective airlines operations strategy patterns in a pandemic, that allow airlines to recover and bounce back smoothly by analyzing the practices of airlines from different geographic regions worldwide.

The purpose of this paper is to explore the effective taxonomies of airline green operations strategy.

To this end, a sample of 23 airlines from five regions (North America, South America, Europe, Asia and the Middle East) was surveyed. The annual sustainability reports of the surveyed airlines for the period 2013‒2016 were retrieved from the Global Reporting Initiatives website. K-means clustering analysis was used to generate taxonomic clusters of airline green operations strategy. A special data analysis technique, called rank analysis, was also adopted to identify the significant green actions and develop indicative models.

This study revealed that three effective taxonomies were adopted by airlines: a low-effect strategic pattern, a low-to-moderate effect strategic pattern and a high-effect strategic pattern. A different combination of green operation actions characterized each strategic pattern.

The research contribution of taxonomies of green operations strategy has so far been limited, country focused and concentrated on the manufacturing sector. This study reported the taxonomies and performed an in-depth analysis of the categories of effective actions taken to promote green performance. Moreover, this study developed indicative models for the relationship between categories of action and green performance for each strategic pattern, an action that has seldom been reported by previous studies of green operations strategies for airlines.

The purpose of this paper is to identify the best practices in the green operations strategy of hospitals.

A total of 25 cases from all over the world were investigated. The source of data was the annual sustainability reports that were retrieved from Global Reporting Initiative (GRI) database. The present research adopted the benchmarking method and the quantitative content analysis of sustainability reports. Then, the indicative models of best practices were developed by using two analysis approaches; within cluster analysis and across clusters analysis.

This study found four major taxonomies of green operation strategy in hospitals. The significant strategic groups were resources/waste management; electrical power management; non-hazardous waste management; and emissions/resources management. Indicative models for the relationship between actions and key green performance indicators were developed in the two stages of the analysis.

The best practices of green operations strategies in hospitals have not so far been investigated. Countries around the world should obey the new regulations for their environmental footprint; if they do, it will exert pressure on all sectors and organizations at all levels to take immediate steps to measure and improve their environmental performance.