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The purpose of this study is to examine the relationships between the dimensions of sustainable competitive advantages in the Indian low cost airlines.

This study used structural equation modelling methods to identify the factors that significantly affect the sustainable competitive advantages enjoyed by Indian low-cost carriers (LCCs). Specifically, this study is based on the data from 208 airline experts that populate multiple structural equation models.

Results indicate that indigenous efficiency, the LCCs perceptions of threat, dexterity, strategic persuasion and the LCC adopting an enabling role positively affect LCCs’ competitive advantages. These five factors were all correlated with each other. The results also show that relative to an LCC’s dexterity, indigenous efficiency is a stronger predictor of an LCC’s competitive advantages.

This study provides low-cost airlines with valuable information for designing effective strategies for obtaining competitive advantages in the LCC sector. To conclude the paper, the authors offer practical recommendations for managers and suggest some avenues for future research in this area.

The purpose of this paper is to present an overall viewpoint on the past (1946-2020) and future (2020-2095) development of airport management.

The paper is based on a review of secondary literature.

The paper finds that the airport industry has transformed from a public utility to a modern enterprise, with private sector ownership, more competition, the expansion of commercial facilities and more diverse business models.

The paper provides a unique long-term and comprehensive view of past, current and future airport management, bringing together a number of linked developments, which is not found elsewhere.

The purpose of this paper is to explore the impact of decision model innovation (DMI), set on the decision-making support for the customers, on customer satisfaction and the firm’s competitive productivity (FCP).

This study operationalizes the concept of DMI by developing a decision support journey (DSJ) model for the airport industry, using the case of Zurich Airport and its ecosystem. This paper then explores how this DSJ impacts the FCP of Zurich Airport.

This study finds that applying DMI shows potential to improve talent management, resource management and corporate culture, leading to a higher FCP. By centralizing the decision-making process of its customer and decision support, executives gain essential insights into the actual needs of their customers. This enables firms to adapt their products and services to the actual needs of the customer, which leads to higher performance.

This study explores the complementarity between DMI and FCP, exploring how operationalizing the concept through DSJ impacts FCP elements, including talent management, resource management and overall corporate culture. This extends extant work on improving non-aeronautical revenues in dynamic environments within airport ecosystems as a converging industry setting.

Existing airport digital applications providing minimal support should be expanded to provide an interaction and exchange platform for airport ecosystem players and customers. This paper finds that the firm adopting DMI in the airport/airline industry can set up a win-win situation to achieve competitive productivity by providing decision-making support and valuable insights to its customers.

This study is among the first to apply DMI toward improving FCP in the airport industry. It treats airports as an ecosystem of converging industries that can benefit by incorporating customer-focused digitally-enabled solutions to improve decision-making and customer satisfaction.

Airlines play a significant role in the international tourism system, yet research on airlines, notably air crew, is scant. Given the frequency with which air crew travel to destinations, understanding of their memories and experiences can have significant insights for destination marketing and management. Destination marketers could look at using air crew as marketing mediums or as potential customers. This study aims to understand the memories and experiences of air crew in destinations and the factors that influence them.

A mixed methods survey was designed and distributed to 236 air crew of a Middle Eastern airline to explore what they remembered of destinations they visited what helped and hindered their ability to remember. The survey also assessed participants self-reported degree of mindfulness.

Results suggested that air crew determined themselves as mindful and had strong memories of the destination. Several notable hindrances were reported relating to their job; fatigue, short layovers and number of flights.

The main limitation of the study is the relatively limited depth with which participants described their experiences. The results from the study add insight to tourism businesses and governments for considering air crew or leveraging air crew as marketing mediums. The generalisability and applicability of mindfulness in other contexts have been offered.

Little research has explored the experiences or memories of air crew nor the relation of mindfulness to service providers. This research is among the first to address this gap to add theoretical and practical insight to this area.

Using Social Network Analysis (SNA), this paper examines the inter-country airline logistics relationships in East Asia. Based on the flight schedule data, which has been gathered by the authors, the overall features of airline logistics structure and the specific roles of each airport could be more clearly examined.

The main results of this paper are as follows: Beijing has the highest Degree Centrality, but excluding the domestic lines, Incheon has the highest Degree Centrality, which would imply that a relatively high Centrality of logistics for China’s airports is due to the greater number of domestic lines. The focal hub status of Incheon airport is also supported by the fact that Incheon contains the highest Betweenness Centrality.

Secondly, evaluated by the types of brokerage role, Incheon has a remarkably strong role as a liaison, which means Incheon airport functions as a transfer hub between two different regions outside of Korea. However, considering only the to/from China airline links, Hong Kong has the highest score as a liaison. These conflicting results imply that as China’s airline transportation continuously increases, Hong Kong will become a strong rival to Incheon.

Thirdly, in the analysis of Structural Hole which functions the broker and acts as a hub by linking unconnected airports, Incheon has the highest possibilities as a hub airport. However, only considering to/from China airlines, Hong Kong would dominate Incheon.

Research carried out within the scope of the present new emerging optimum market to Greek regional airlines. This study (based on interconnected flight network) aims to provide an optimal alternative for flights to be carried out by small Greek airlines to Eskisehir Airport in Turkey. The airlines seek to sustainable demand base to improve themselves in a profitable way.

In this study, the analytical network process method was used. In the construction of network models, specific criteria have been considered, and the analysis has been accomplished as multi-criteria decision-making problem because of the relationship and interaction between them. A number of professionals with high knowledge of the Greek and Turkish aviation market were participated in the study.

Both Greek and Turkish experts think that the scenarios should include more airports (multi leg flights) to benefit from the increased traffic from all these destinations. Although, the model showed that more sustainable and effective routes are the simplest ones (single leg flights). Thus, the experts suggested the following five routes: Athens (ATH)-Antalya (AYT)-Eskisehir (AOE)-ATH; Heraklion (HER)-AOE-ATH; ATH-Istanbul (IST)-AOE-Thessaloniki (SKG); ATH-AOE-Cologne (CGN)-ATH and ATH-AOE-Izmir (ADB)-CGN-ATH. In addition, the experts pointed out the routes Eskisehir (AOE)-Brussel (BRU) and AOE-Cologne (CGN), as the passenger demand for them is high. These are considerable suggestions and should be examined by airlines’ managers, while aviation authorities should take these under consideration.

There are some factors that limit the potential extension of the small Greek regional airlines to Eskisehir airport. Istanbul’s Atatürk International Airport is the most used airport for international connected flight in Turkey, and the most airlines prefer this as a destination airport, although it has slots limitations and intense traffic. According to a previous project, sustainable flight network may include Istanbul and Izmir. Also, the bilateral agreement between Greece and Turkey according to Memorandum of Understanding between the Aeronautical Authorities of the Republic of Turkey and Hellenic Republic consists the main limitation of the traffic increase.

Connected flight network model suggestions developed in this research may provide contribution to airlines’ research and development activities. Also this kind of studies may contribute to the increase of the passengers’ traffic between the two countries with mutual benefits.

Based on the current study, with determined the grid network flights, new flights can be scheduled that are offering significant benefits. Also passengers will have the ability to travel to an attractive destination. In particular, the study may positively contribute to the further development of AOE and to the region around the city. On the other side, the Greek regional airlines can find an important market. Anadolu University’s entrepreneurship ability will be improved and also AOE’s business will be increased. This study will enforce the stronger links between both Greek [Hellenic (Greek) Civil Aviation Authority] and Turkish (General Directorate of Civil Aviation) aviation authorities. In addition, this study may contribute to the improvement of the economic relations between Greece and Turkey with mutual benefits.

It is thought that this research shows Greek and Turkish airports feasibility to cooperate providing benefits to passengers, airlines and the countries’ economies. The study includes current social, economic and cultural dynamics of the countries making significant contribution to academic literature. The capacity and demand analysis is useful for the management of the specific Greek carriers. Expert opinions are consulted over the course of taking strategic decisions. The analysis has been conducted, based on expert opinions and referred to for these pairwise comparisons. Airlines and airport managers based on the suggested methodology may examine potential flights, although more numerical data are necessary.

This study aims to investigate the effects of consumers’ motivations on behavioral intention to use self-service technology (SST) in airline services exploring multimediating effects of flow experience and SST evaluation in Stimulus-Organism-Response model.

An online survey was conducted with quota sampling based on age group who had experiences of SSTs usage at the Incheon International Airport in South Korea. A total of 286 responses were used for the data analysis with structural equation modeling to examine the proposed model and the multimediating effects.

The results showed that consumers’ intrinsic and extrinsic motivations had positive impacts on their flow experience, SST evaluation and behavioral intention to use airline SSTs. Their flow experience had a positive influence on SST evaluation, and their SST evaluation influenced behavioral intention to use airline SSTs. Consumers’ flow experience and SST evaluation mediated the relationship between intrinsic and extrinsic motivations and behavioral intention to use airline SSTs.

It is important for customers to perceive extrinsic motivation such as speed, convenience and efficiency for the smooth process of airline SSTs at the airport. SST evaluation plays a key role to increase customers’ behavioral intention to use airline SSTs.

This study extends the understanding of consumers’ intrinsic and extrinsic motivations, flow experience, SST evaluation and behavioral intentions to use SST in airline services by building on a model. Especially, findings of the (multi)mediating effects of customers’ perceived flow and SST evaluation on the relationship between motivations and behavioral intention to use airline SSTs might provide better guidelines for managers to incorporate SSTs, to increase operational efficiency and to boost customer experiences.

This paper aims to provide an assessment of tourism promotion in tourist destinations and airports (TPTDs) and to organize and classify the literature on tourism promotion, with the aim of staging the importance of this topic and encouraging future research in the projection of tourism and marketing sectors.

The paper uses the Social Sciences Citation Index (SSCI) database to analyze the bibliometric in TPTDs topic from 2000 to 2021. Additionally, the paper also uses the visualization of similarities (VOS) viewer software to map graphically the bibliographic material. The graphical analysis uses bibliographic coupling, co-citation, citation and co-occurrence of keywords.

This study provides an amended new definition of tourism promotion, which is the efficient management of a destination’s resources and strategic plans by destination marketing organizations (DMOs) to adapt the tourism supply to market trends and will empower tourists to visit such destinations. Furthermore, results also show a new paradigm applied to TPTDs topic and classified in five first-order research streams. Digital and mobile marketing, infrastructure, branding, quality, accessibility and information factors about a specific destination which are mostly demanded by tourists are considered as an important means of promotion for the tourism industry.

The contribution of this study is important to identify new challenges and opportunities for researchers, DMOs, airport and airlines operators and stakeholders, as disentangling existing contradictions and applying new theoretical framework to make better future decisions by researchers and organizations to provide higher quality to new research in the context of the TPTDs.

Nowadays, many organizations use quality function deployment (QFD) in order to recognize their customers’ wants and arrange a set of corrective activities in order to satisfy these wants. In a competitive environment, two or more organizations cooperate in order to meet their customers’ wants. The purpose of this paper is to introduce a new hybrid approach of QFD employing SERVQUAL method, named three-dimensional house of quality (3DHOQ) to help the cooperation between two organizations with common customers by determining some common corrective activities that would satisfy their customers’ wants.

In order to better explain the proposed model, it is implemented in Birjand International Airport and Iran Air airline. At first, the customers’ want in the airport and airline sections are identified and the SERVQUAL method is used to determine the final weight of these wants. Afterwards, the corrective activities for satisfying the customers’ wants are determined using the three-dimensional QDF; and then are given weights using the multi-dimensional relation matrix.

Results of this study show the customers’ wants in two sections of airport and airline, the importance of each customer want, the gap between customers’ perception and expectation of each want, the collective corrective activities required to satisfy the customers’ wants and the weight of these corrective activities.

This paper helps the airline and airport sections have an analyzed list of their customers’ wants and a set of shared and unshared corrective activities to meet these wants.

This paper presents a simultaneous QFD analysis in the airport and airline sections. Moreover, a new hybrid approach employing SERVQUAL method, named 3DHOQ is introduced to determine the corrective activities of both organizations and their weights.

Based on cost of quality (CoQ) research, this study aims to highlight the importance of incorporating the costs to customers in contributing to service quality when examining how customers respond to possible service failures [quality assurance behavior (QAB)]. Consequently, this study also aims to show how the CoQ framework can be a useful tool to the service industry in determining enhancements in quality and related expenditures.

Using the airline industry as a case example, this study empirically tests the impact of predicted service quality and its associated costs on an individual’s QAB (wait time spent at the departing airport) through revealed preferences. The study uses survey data from more than 4,000 passengers matched with travel-specific quality information archived by the US Department of Transportation (DOT).

This study finds that customers are willing to increase their level of QAB when informed of an increased probability of service failure. This study also finds that the level of QAB varies depending on anticipated customer costs of avoiding or responding to service failures.

Findings of this study emphasize the need for shared responsibility between service providers and their customers in making decisions on the provision of service quality, as helping customers adjust the appropriate level of QAB may result in greater efficiency and higher quality of service.

This study conceptualizes and empirically tests causal relationships between expected quality and customer efforts (QAB), thus contributing to operations literature examining CoQ in a service setting. This study argues that it is critical to consider shared responsibilities between co-producers (service providers and customers) in service operations studies.