Showing papers in "Journal of Air Transport Management in 2018"

TL;DR: In this article, the effects of social media marketing activities (SMMAs) on brand equity and customer response in the airline industry were analyzed via structural equation modeling, and the results showed that trendiness was the most important SMMA component, and airline SMMAs had significant effects on brand awareness and brand image.

TL;DR: In this paper, the authors employed a convenience sampling method for collecting data from 460 respondents using a self-administered questionnaire, designed on five dimensions of AIRQUAL scale, and variance based structural equation modelling (PLS-SEM) was used for testing the proposed structural model.

TL;DR: In this article, the authors used the multiple criterion decision-making model to estimate the key influences of international airport performance in relation to sustainability, and then used a hybrid modified VIKOR to select and improve the performance gaps between the aspiration values and the current situation for the international airport.

TL;DR: It is demonstrated that user-generated online contents can be used as an alternative data source for assessing airport service quality, which effectively complements and cross-validates the conventional service quality surveys.

TL;DR: In this paper, the authors analyze and compare two CO 2 trading schemes for aviation from an environmental and competition perspective: the EU Emissions Trading Scheme (EU ETS) and the Carbon Offsetting and Reduction Scheme for International Aviation (CORSIA).

TL;DR: In this article, the authors developed and tested an extended research model based on the theory of planned behavior (TPB) that identifies factors influencing the intention to use low-cost carriers (LCCs) in China.

TL;DR: A novel hybrid method using fuzzy data envelopment analysis (DEA) and fuzzy multi-attribute decision making (F-MADM) for ranking the airlines’ safety and to select the safest one is proposed.

TL;DR: In this article, the mediating role of work engagement in the links between paternalistic leadership and workplace loneliness and workplace family conflict was examined, and the results of structural equation modeling analysis supported the hypothesis that work engagement fully mediated the links in the model.

TL;DR: In this paper, the authors provide a mapping of existing policies applied worldwide to provide air connectivity to remote areas, and critically review policies promoting air connectivity, including: 1) route-based policies, 2) passenger-based policy, 3) airline-based, and 4) airport-based.

TL;DR: In this paper, a hypothesis model is proposed to examine the relationship of various drivers of customer loyalty to full-service carriers and low-cost carriers in the Hong Kong airline industry, and the results confirmed that social media engagement, perceived service quality, and perceived value have an incidental relationship to customer satisfaction.

TL;DR: In this paper, the authors examined the impact of air transportation, railways transportation, and container port traffic on energy demand, customs duty, and economic growth in a panel of 40 heterogeneous countries, which comprises 16 low income and lower middle income (LI&LMI) countries and 24 upper middle and high income (UM&HI) countries for the period of 1990-2015.

TL;DR: In this paper, the authors proposed a fatigue model for airline pilots, which classified fatigue into physical decline, mental decline, and rest defects, and verified that pilot fatigue is affected by seven independent variables (flight direction, crew scheduling, partnership, aircraft environment, job assignment, ethnic difference and hotel environment).

TL;DR: In this article, the authors investigated 375 flight attendants of China Airlines based in Taiwan, and validated the hypotheses through hierarchical regression analysis, and found that flight attendants with high psychological capital tend to show more work engagement and better service behavior.

TL;DR: A novel data-driven framework is developed that characterizes the operational structure and dynamics of an air traffic network using actual tracking data and applies the framework to analyze the air traffic networks in China and the US, revealing distinctive characteristics of these two networks.

TL;DR: In this article, the authors apply the Business Model Canvas approach to a set of 42 currently operating airlines to identify key factors for a subsequent, multidimensional two-step cluster analysis.

TL;DR: In this paper, the authors examined the attributes of McCarran International Airport and the association between those attributes and the host city of Las Vegas and found that the airport is associated with a wide range of attributes, including visible functional, psychological, mixed, and affective attributes.

TL;DR: In this paper, an integrated methodological framework employing Data Envelopment Analysis (DEA) with super-efficiency and intertemporal approach is implemented to assess the effect of alliance group membership on 30 major international airlines regarding period 2012-2016.

TL;DR: In this article, a survey was conducted to find out the factors affecting Y-Generation passengers' actual usage of Self-Service Technologies (SST) during pre-flight services.

TL;DR: In this article, the authors collected information for all existing air-rail cooperation cases around the world and analyzed the factors that are related to their partnership levels with multiple statistical methods and found that whether the rail station is located at the airport is the main factor affecting the airrail partnership level.

TL;DR: In this article, the authors investigated the level of service quality of domestic airlines in Turkey travelling between Istanbul and London and compared those airline companies according to a set of predetermined criteria and found that passengers care for service prioritization and personalization for a better flight experience.

TL;DR: In this article, the authors analyzed the official Twitter account of an airline company, Air New Zealand, to explore its market segments and develop a network clustering method, which reveals the community classes of the network, along with a text mining analysis on each community detected by the cluster analysis.

TL;DR: In this article, an empirical study was conducted among air passengers at a major international airport in Spain, which revealed the existence of eight categories of attributes that are important for airline passengers: safety and punctuality, ticket price, and attentive and service during the customer journey.

TL;DR: The study indicated that the impact of luggage and seat pitch had a notable, but complex, effect on performance and, more importantly, generated an array of data-sets for use in future simulation efforts.

TL;DR: The findings confirm that by employing content analysis advanced network techniques can serve to study mission statements and other similar texts and applied text analytic tools through visualization of data represents a new approach in the field of organization study.

TL;DR: In this article, the efficiency of Italian airports using Data Envelopment Analysis (DEA) is evaluated at three different stages of its cost-revenue production cycle, while network-slack based measure DEA (NSBM-DEA), is adopted to generate efficiency measurements for the airports at each stage.

TL;DR: In this article, the authors developed a more versatile model, which directly forecasts the total number of air passengers and air transport movements at German airports, which has been econometrically estimated taking into account time series data from 1992 to 2015.

TL;DR: Overall the results show that screening performance can be improved substantially, but as the required performance level rises there is a trade-off with system throughput and personnel training costs.

TL;DR: In this paper, the authors investigated the external costs of aviation with particular emphasis on the effect of limited use area (LUA) related to aviation noise on the local community, and estimate to what degree this impact stabilizes over a period of time.

TL;DR: Using the MACBETH approach, a hierarchical additive value model is constructed with criteria weights and value scales derived from expert's judgments and by comparison of different reference levels and profiles of performance.

TL;DR: This paper provides the first application of predefined weight restrictions in a DEA analysis of airport efficiency, and finds that the operational scale of most airports is inefficiently small, so that increases in traffic will result in declining unit costs.