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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.

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.

Multi-criteria decision-making (MCDM) techniques are decision support systems that provide systematic approaches to solve hospitality and tourism (H&T) problems while minimizing the risk of failure. However, less is known about the application of MCDM techniques in H&T research. This study aims to systematically assess the use of MCDM techniques in H&T research to classify its current application and determine its application potential for H&T research.

This study used bibliometric analysis to examine all published MCDM studies focused on H&T industries, since 1997. In addition, topic modelling was used to discover key concepts. Finally, top cited studies in terms of total citations per year and total citations were qualitatively reviewed for more insights.

The findings revealed an ongoing interest in applying MCDM techniques in H&T research. Specifically, the extension of fuzzy theory in MCDM techniques is burgeoning among H&T researchers. However, a certain number of MCDM techniques seem to be ignored in this field with a repetitive application of MCDM techniques in particular areas.

The data for the current research was solely retrieved from Scopus and other databases were not included. Therefore, future research is called for to re-examine the study by considering data from various databases.

This study contributes to extant H&T literature by identifying the most prolific and influential countries, journals, publications and trends by applying MCDM techniques in H&T research, and elucidating the implications and characteristics of MCDM techniques in H&T research.

Discusses a new tool for quantitative marketing research‐ conjoint measurement, although developed for psychometric research this technique has numerous possibilities outside this area. Emphasises marketing planning involves the integration of often conflicting goals and a balance must be sought between objectives such as market share, profit, sales growth percentage, return on investment and retail coverage. Tries to bridge an information gap by presenting essentials of conjoint measurement in fairly non‐technical terms. Introduces some of the concepts that underlie the use of conjoint measurement, the method is then described in brief. Differing steps of the research design are presented in a more detailed manner. Illustrates the potential of conjoint measurement for marketing measurement by way of an application to the market for colour televisions. Finally discusses the advantage of conjoint measurement and its limitations are summarised. Concludes that conjoint measurement will enjoy more popularity in the future.

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.

This research aims to determine the impact of green business (GB) on the perceived wealth of small and medium-scale enterprises (PWSMEs). The study also analyses the mediating role of a green attitude in this relationship.

A questionnaire based on a comprehensive literature study was used to develop a scale for measuring GB parameters. A survey involving 400 small and medium enterprise (SME) owners and managers across India was conducted. Regression analysis is used to determine the impact of GB on PWSMEs, and mediation analysis is used to explore the role of green attitude in this relationship.

The study reveals that GB components such as intent, processes, measurement, communication and capacity building have a positive impact on perceived wealth and green attitude. The association between perceived wealth and GB aspects is moderated by a green attitude, with the indirect effect being more significant than the direct effect.

To improve customers' green attitudes toward buying goods and services, small and medium enterprises (SMEs) should develop a technique to implement GB aspects into their overall strategy. This will undoubtedly improve the performance of SMEs.

This study adds to the body of knowledge on GB by emphasizing the benefits that SMEs can get from implementing GB practices, thereby improving their performance in markets such as India.

This study aims to identify the factors and propose a conceptual framework for the civil aviation industry from the sustainability perspective with the participation of international entrepreneurs. Based on the results of this study, international decision-makers and entrepreneurs in the civil aviation transportation industry will better understand their decision-making processes. A combination of interpretive structural modelling (ISM) and matrix-based multiplication applied to a classification (MICMAC) was used to classify practical factors to depict a conceptual model based on their level and classification in the sustainable supply chain (SSC) of the civil aviation transportation industry. In this study, special attention has been paid to the issue of sustainability as an essential mechanism for developing international entrepreneurship in the civil aviation transportation industry. The factor of flexibility in service production was identified as the driver factor; the factors of organisational commitment to a SSC were found to have the highest driver-dependent power that can attract international entrepreneurs in this field.

The purpose of this study is to develop a holistic optimization model for an integrated sustainable fleet planning and closed-loop supply chain (CLSC) network design problem under uncertainty.

A novel mixed-integer programming model that is able to consider interactions between vehicle fleet planning and CLSC network design problems is first developed. Uncertainties of the product demand and return fractions of the end-of-life products are handled by a chance-constrained stochastic program. Several Pareto optimal solutions are generated for the conflicting sustainability objectives via compromise and fuzzy goal programming (FGP) approaches.

The proposed model is tested on a real-life lead/acid battery recovery system. By using the proposed model, sustainable fleet plans that provide a smaller fleet size, fewer empty vehicle repositions, minimal CO₂ emissions, maximal vehicle safety ratings and minimal injury/illness incidence rate of transport accidents are generated. Furthermore, an environmentally and socially conscious CLSC network with maximal job creation in the less developed regions, minimal lost days resulting from the work's damages during manufacturing/recycling operations and maximal collection/recovery of end-of-life products is also designed.

Unlike the classical network design models, vehicle fleet planning decisions such as fleet sizing/composition, fleet assignment, vehicle inventory control, empty repositioning, etc. are also considered while designing a sustainable CLSC network. In addition to sustainability indicators in the network design, sustainability factors in fleet management are also handled. To the best of the authors' knowledge, there is no similar paper in the literature that proposes such a holistic optimization model for integrated sustainable fleet planning and CLSC network design.

As buyers and suppliers seek to create value, they face the challenge of creating an environment that promotes coordination and information sharing and discourages opportunism. While the literature suggested dyadic mechanisms to create such an environment, this study focuses on ties beyond the buyer–supplier dyad. Specifically, close connections to one's partner's partners (CPP) are crucial in the realization of benefits for buyers and suppliers.

Drawing from embeddedness theory and governance theory, the authors developed a contingency framework to examine when CPP are beneficial or counterproductive considering two dyadic attributes – relational capital (RC) and partner dependence. Analyses were conducted using data from a dyadic survey complemented with archival data on 106 buyer–supplier relationships (BSRs).

The study reveals that CPP both help and hurt in the realization of benefits. Stark asymmetries exist between the impact of CPP on the buyer and supplier sides. For buyers, CPP exert a direct positive effect on operational and innovation benefits. For suppliers, the effect of CPP on operational and innovation benefits is contingent on buyer dependence and RC – CPP serves as a substitute for buyer dependence and RC. There are no such contingency effects for buyers. Further analysis identifies situations for suppliers when CPP hurt the realization of benefits.

The study highlights the importance of CPP to foster efficiency and innovation within BSRs and illustrates how their impact varies across contingency conditions and across the parties within a dyad.