Journal articles on the topic 'Airlines Decision making'
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Fu, Yan-Kai, Weilun Huang, and Chin-Nung Liao. "The selection model for horizontal alliances between hotels and airlines: an integrated application of NGT, fuzzy TOPSIS and MCGP methods." Tourism Review 75, no. 4 (January 30, 2020): 681–98. http://dx.doi.org/10.1108/tr-06-2019-0214.
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Purpose The purpose of this paper is to evaluate the hotel selection problem of airlines for their hotel and airline alliance (HAA) to develop potential customers of airlines. This paper will propose a hybrid mathematics evaluation model to help airline to select an optimal hotel with both qualitative and quantitative criteria. Design/methodology/approach To solve the hotel selection problem of airlines for their HAA, this paper focuses on the implementation of the NGT, Fuzzy TOPSIS and MCGP models in the hotel selection process. Initially, the NGT was used to create HAA decision-making criteria based on the literature review and expert opinions, and it was found that scale and scope possibility, brand value, tourism attraction, operating cost and industrial conditions are the most important criteria. Later, the Fuzzy TOPSIS method was used to obtain the general normalized fuzzy preference and to compute the closeness coefficients of each alternative hotel with respect to each criterion. Third, five tangible constraints were incorporated into the Fuzzy TOPSIS-MCGP model to calculate the optimal hotel with LINGO software. Findings Airline managers can use the proposed model to form a clear view of how to choose the most suitable hotel to cooperate with to outperform their competitors. Having access to this information allows airline managers to take steps to perform better and improve the performance of the partnership, helping them to gain more confidence in their decision-making capabilities while reducing investment risks. Originality/value This is the first paper that has adopted Fuzzy TOPSIS-MCGP to select hotel for their HAA from the airline’s point of view. The major contributions of this study are as follows: an efficient and simple evaluation framework is proposed for handling vagueness and uncertainty in real-world hotel selection problems; the advancement of treating uncertainty in the MCDM process; the fuzzy TOPSIS-MCGP method is extended for such problems, taking into account tangible and intangible criteria; airline managers can now make decisions in choosing to select the best hotel for their HAA that meets the airline's business goals and passenger demands; hotel operators are flexible in selecting their airline partnership, thus creating greater profit for both parties.
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Li, Li Sha. "Research on Airline Operational Control Model Based on Analytic Hierarchy Process." Applied Mechanics and Materials 496-500 (January 2014): 1365–68. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1365.
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With expansion of airlines fleet capacity in China, airlines pay more attention to airline profit, service evaluation, etc., besides flight safety. Therefore it is important to study on operational control approaches that can promote operational efficiency, guarantee flight on-schedule rate and reduce operational cost. In this paper, an Analytic Hierarchy Process is employed to build a related-factor model mainly influencing dispatchers making decision in the operational control process of airlines. This process makes the complicated decision-making system hierarchic and analyzes the importance of all related factors by comprising their importance in a hierarchical way. Through an algorithmic example and data analysis, the operational control decision-making model of an assisting nature based on hierarchic analysis in this paper can provide quantitative basis for final decision making.
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Idham, Idham, Prawira Fajarindra Belgiawan, and Christina Ari Pramono Putri. "Influence of Low-Cost Carrier Attributes towards Airline Choice Decision in Bandung-Surabaya Route." Jurnal Manajemen Teknologi 20, no. 1 (2021): 98–106. http://dx.doi.org/10.12695/jmt.2021.20.1.6.
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Abstract. The number of Indonesian domestic passengers which increased rapidly has encouraged for the airlines to expand their market share by opening routes in the local region and one of the promising region is Bandung. In early 2019, the Low-Cost Carrier has implemented paid baggage policy. The changes of airline conditions and regulations could affect consumer purchasing decisions. The airline have to redesign its strategies and conduct a strategy adjusment to identify the consumer's needs and wants these days. Based on the problem description, this research aims to identify what significant attributes influence passenger's purchasing decision-making and determine what elastic and inelastic attributes. Data collection using an online questionnaire then spread to 235 respondents and were analyzed with Mixed Logit Model using BIOGEME software. The results shows that airline's departure time is a significant attribute towards passenger's airline choice. Ticket price also plays a key role in selecting an airline for passengers when the ticket price increases, Passenger will consider choosing other alternative airlines that are more affordable. The results could be used by an airline company to attract the passenger by improving its marketing strategy. Keywords: Low-cost carrier, airline choice, airline attribute, mixed logit, demand elasticities
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Mavin, Timothy J., Wolff-Michael Roth, Kassandra Soo, and Ian Munro. "Toward Evidence-Based Decision Making in Aviation." Aviation Psychology and Applied Human Factors 5, no. 1 (April 10, 2015): 52–61. http://dx.doi.org/10.1027/2192-0923/a000069.
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Academic institutions and airlines have always worked together to develop and conduct research studies. However, most often the expertise or areas of interest of the academics have driven these studies. In this paper, we illustrate the results of an industry–university collaboration that generated data that the airline could use to engage in evidence-based decision making. The example given regards issues emerging from mixed-fleet flying, generally related to reverse transition from glass to analogue cockpits.
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Endo, Nobuaki, and Toshiya Ozaki. "WHAT DRIVES AIRLINES TO MAKE A CROSS-BORDER INVESTMENT? FIRM-LEVEL FACTORS AND INSTITUTIONAL FACTORS." Journal of Air Transport Studies 10, no. 1 (January 1, 2019): 125–50. http://dx.doi.org/10.38008/jats.v10i1.20.
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The purpose of this research is to identify the determinants of cross-border investment in the airline industry, focusing on the intangible assets and resources which airlines possess and the institutional differences between home and host countries. The empirical results indicate that airlines have fewer incentives for making foreign investment in other airlines in institutionally different countries and culturally different countries. Furthermore, government restriction on foreign ownership in the host country may discourage airlines to pursue investment in such country. The results weakly support a hypothesis that the more intangible assets airlines possess, the more they may be induced to make FDI. We interpreted the results as follows: the FDI decision of the airline industry may be accounted for by Dunning’s Eclectic Paradigm model just as other industries may be; the institutional difference may have an overwhelming impact on airlines for their FDI decisions; and further studies may be necessary in scrutinizing the role of intangible assets of airlines.
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Campa-Planas, Fernando, Nicole Kalemba, Lucía-Clara Banchieri, and Juan Magaz-Pérez. "Management information used by Spanish Airlines for the financial decision making process: an exploratory study." Investment Management and Financial Innovations 13, no. 3 (October 10, 2016): 341–52. http://dx.doi.org/10.21511/imfi.13(3-2).2016.06.
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The main objective of this research was to examine the degree of practical application of management accounting in Spanish airline companies as far as management accounting is a crucial tool for the financial decision making process. In particular, the goal was to get to know the degree of strategic planning, the utilized methods of budgeting, procedures used to present the comparison between planned and actual results, and the reported key performance indicators, as well as their frequency. Quantitative methodology has been used through the creation of an on-line questionnaire. The results showed that the level of implementation, and utility granted to the different techniques of management accounting in the analyzed companies that are corresponding to the six most important airlines in Spain, is pretty high, helping airline companies to make operations and financial decisions. Keywords: strategic planning, airline companies, financial decision making, key performance indicators, management accounting. JEL Classification: M41, L93
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Farida, Yuniar, Husna Nur Laili, Achmad Teguh Wibowo, Latifatun Nadya Desinaini, and Silvia Kartika Sari. "Selecting the Best-Performing Low-Cost Carrier (LCC) Airlines Using Analytical Hierarchy Process (AHP) and Elimination et Choix Traduisant la Realite (ELECTRE)." Journal of Information Systems Engineering and Business Intelligence 8, no. 2 (October 29, 2022): 196–206. http://dx.doi.org/10.20473/jisebi.8.2.196-206.
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Background: Low-cost carrier (LCC) is a popular air transportation service as it offers affordable fares. Many airlines have adopted the LCC system because they need to adapt to the changes in the airline industry. The competition is tight. Despite the low cost, consumers demand quality services. Therefore, LCC airlines need to find their competitive edge. Objective: This study aims to determine the best-performing LCC airlines, the criteria, and the sub-criteria to improve the performance. Methods: This study uses two methods from multi-criteria decision-making (MCDM), namely the analytical hierarchy process (AHP) and elimination et choix traduisant la realite (ELECTRE) II. The MCDM is selected for this study because there are four criteria and 21 sub-criteria to evaluate airline performance. The AHP method selects subcriteria that affect airline customer satisfaction. It solves complex problems by establishing a hierarchy. After being assessed by relevant parties, weights or priorities are developed. The results are used to determine the best-performing airline. Meanwhile, the ELECTRE II method ranks the airline’s alternatives. This method is straightforward and widely used in the MCDM. Results: The results indicate that four criteria and 18 sub-criteria affect the performance of LCC airlines in Indonesia. The LCC airline with the best performance is AirAsia, followed by Citilink, Wings Air, and Lion Air. Conclusion: This research integrates the AHP and ELECTRE II methods in evaluating the performance of LCC airlines. This research also provides information about the criteria and sub-criteria to improve airline performance, hence, the customer experience.
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Hadi, Wa'el. "A New Model for Integrating Phases of Decision-Making and Knowledge Base for Improving Customer Satisfaction." Journal of Information & Knowledge Management 16, no. 03 (July 31, 2017): 1750025. http://dx.doi.org/10.1142/s0219649217500253.
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Knowledge base is becoming a key factor within organisations, since it can maximise the probability and impact of customer satisfaction in, for example, an airline company. Therefore, phases of decision-making and knowledge base are widely used in airline companies to improve the degree of customer satisfaction. The objective of this paper is to develop a customer satisfaction model by integrating the phases of decision-making and knowledge base of Royal Jordanian Airlines. The data collection for this study is achieved quantitatively through a survey based on a sample set of 130. All individuals in the sample are employed by Royal Jordanian Airlines and are targeted with questionnaires, while the smart partial least squares (PLSs) technique is employed to analytically test each hypothesis. The results of the study find a positive interaction between the decision-making phases of intelligence and design in enhancing customer satisfaction, which is fully mediated by knowledge base. In addition, the results find a positive interaction between the decision-making phases of choice and implementation in enhancing customer satisfaction, which is partially mediated by knowledge base.
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Almuqati, Mohammed. "Critical analyzed information of International Air Transport Association (Divulgation paper)." Nexo Revista Científica 34, no. 02 (June 9, 2021): 1065–74. http://dx.doi.org/10.5377/nexo.v34i02.11630.
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The International Air Transport Association aims at representing the airline industry by enhancing awareness about the benefits of airlines to the national economies, and in this way, improving decision making regarding airline activities. Integrity is an important value if at all member airlines are expected to have trust in the organization’s duty to protect their interest. The main benefit that airlines can gain in joining IATA is the ability to be adequately represented by an organization whose voice in the industry is powerful. Member airlines are also assured of financial success as IATA recommends best practices that should be implemented in order to uphold safety, environmental sustainability, and efficient processes. Ultimately, IATA’s role in championing for the rights of airlines has been influential, and the improved performance in the industry is evidence that the association’s efforts have been fruitful.
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Havlovic, Stephen. "TRANSNATIONAL REPRESENTATION BY EUROPEAN WORKS COUNCILS IN THE PASSENGER AIRLINE INDUSTRY." Journal of Air Transport Studies 11, no. 1 (January 1, 2020): 1–10. http://dx.doi.org/10.38008/jats.v11i1.151.
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Mergers and acquisitions have reduced the number of European Works Councils (EWCs) in the airline industry over the past two decades. In addition, start-up low-cost airlines have been reluctant to form EWCs. Only 5 of the 11 eligible transnational passenger airlines have established EWCs. This limited number of airline EWCs reduces airline employees' opportunity to be involved in strategic decision making in areas such as tourism. All of the available EWC agreements provide the opportunity for management and employee member consultation, the offering of opinions, and providing information related to European transnational operations. The Lufthansa Group and the International Airlines Group EWC agreements contain more subject areas for discussion than the Air France-KLM agreement. Only the Lufthansa Group EWC agreement includes the topic of environmental protection.
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Bae, Ki-Hwan Gabriel, Aman Gupta, and Ronald Mau. "Comparative analysis of airline financial and operational performances: A fuzzy AHP and TOPSIS integrated approach." Decision Science Letters 10, no. 3 (2021): 361–74. http://dx.doi.org/10.5267/j.dsl.2021.2.002.
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Already faced with tight competition and low profit margins, the airline industry is going through major changes in the wake of the current pandemic resulting in travel restrictions and slump demands, prompting airlines to curtail services and investments in every aspect of business. To that end, developing a comprehensive method of improving airline performance measures is crucial. However, this type of problem is complex to solve due to a large number of factors, requiring a systematic approach. It entails taking into account a multitude of conflicting, or sometimes interrelated criteria, hence becoming an inherently multiple criteria decision making problem. This study is aimed to assess the competitiveness of airlines and evaluate their financial and operational performances in relation to such criteria. We test FAHP, TOPSIS, and a hybrid method of combining FAHP and TOPSIS methods. In particular, regarding the hybrid method, FAHP is employed to determine the influential weights of criteria that are utilized in TOPSIS for preference values among alternatives. We demonstrate the applicability of the proposed methods to solving a MCDM problem of airline performance assessments using real data sets. Further, this study focuses on examining the relationship between financial and operational performance criteria, as well as gleaning insights for airlines to build an evaluation system that would aid in understanding their strength and weakness in the performance metrics. The computational experiment results of our hybrid FAHP-TOPSIS model support the efficacy of incorporating fuzzy values concerning influential weight criteria. By judiciously distributing criteria weights that are specific to the airline industry, our proposed model captures preference scores reflective of industry-related and concurrent measures. This modeling framework can help airlines better evaluate the systematic influential relation structure among criteria in critical financial and operational dimensions.
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Yue, Siwen, Le Xiao, Jiaxin Li, and Nan Wang. "Research on application of knowledge graph for aircraft maintenance." Advances in Mechanical Engineering 14, no. 7 (July 2022): 168781322211074. http://dx.doi.org/10.1177/16878132221107429.
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Aircraft maintenance technology is related to flight safety. It is not only a significant guarantee for the safety of passengers’ lives and property but also an important means for airlines to reduce costs and improve profitability. This paper focuses on aircraft maintenance decision-making, analyzes the current situation and defects of maintenance decision-making, applies knowledge graph technology to this field, and constructs aircraft maintenance knowledge graph; through the character analysis of sample data and experimental comparison, the key factors affecting the accuracy of aircraft maintenance decisions are found; few-shot knowledge reasoning technology is introduced to improve the maintenance strategy reasoning algorithm. In the 737NG aircraft maintenance decision-making system of an airline, the feasibility and effectiveness of the method are verified, which provides strong support for flight safety.
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Teoh, Lay Eng, and Hooi Ling Khoo. "Fleet Planning Decision-Making: Two-Stage Optimization with Slot Purchase." Journal of Optimization 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/8089794.
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Essentially, strategic fleet planning is vital for airlines to yield a higher profit margin while providing a desired service frequency to meet stochastic demand. In contrast to most studies that did not consider slot purchase which would affect the service frequency determination of airlines, this paper proposes a novel approach to solve the fleet planning problem subject to various operational constraints. A two-stage fleet planning model is formulated in which the first stage selects the individual operating route that requires slot purchase for network expansions while the second stage, in the form of probabilistic dynamic programming model, determines the quantity and type of aircraft (with the corresponding service frequency) to meet the demand profitably. By analyzing an illustrative case study (with 38 international routes), the results show that the incorporation of slot purchase in fleet planning is beneficial to airlines in achieving economic and social sustainability. The developed model is practically viable for airlines not only to provide a better service quality (via a higher service frequency) to meet more demand but also to obtain a higher revenue and profit margin, by making an optimal slot purchase and fleet planning decision throughout the long-term planning horizon.
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Rteimeh, Majda S. "The Impact of Strategic Decision-Making on Enhancing Competitive Capability: Case Study of the Royal Jordanian Airlines." International Journal of Business and Management 14, no. 3 (February 19, 2019): 148. http://dx.doi.org/10.5539/ijbm.v14n3p148.
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The study aimed at identifying the extent of efficiency of the strategic decision making (the determination of the problem, the gathering of the information on the problem, decision-making, the monitoring of the implementation of the decision-making, and the circulation of the realistic results of the decision) and demonstrating their impact in enhancing the competitive capability of the Royal Jordanian Airlines. This study followed the descriptive and the analytical approach relying on a questionnaire that reached a sample of 167 employees working at the various administrative levels of the company. The results of the study showed that there is a medium degree of efficiency for strategic decision-making and a medium degree of competitiveness. The results also showed a statistically significant impact for each of (gathering information about the problem of enhancing the competitive capability of the Royal Jordanian Airlines, decision-making, and circulating the realistic results of the decision) in enhancing the competitive capability of the Royal Jordanian Airlines.
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Sinclair-Maragh, Gaunette. "Air Jamaica … more than a national airline." Emerald Emerging Markets Case Studies 1, no. 1 (January 1, 2011): 1–6. http://dx.doi.org/10.1108/20450621111110627.
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Subject area Hospitality and tourism management; strategic management; marketing, transportation system management and human resource management. Study level/applicability Undergraduate in business and management and hospitality and tourism management. Case overview This teaching case outlines the historical background, successes and challenges of the national airline of Jamaica. It shows how a national airline, which is a heritage asset and one that has provided nostalgic and sentimental value to the Jamaican people and its passengers, had to be divested. The airline has been faced with several challenges; the major one being high-operating costs, especially in light of the global economic recession. The case also highlights the various procedures carried out by the Government of Jamaica before and after the divestment arrangement and also by the acquirer, Caribbean Airlines. Expected learning outcomes The student should be able to: first, differentiate among the various strategic management terms and concepts used in the case; second, explain the importance of strategic decisions versus emotional decisions; third, assess the environmental factors that impacted Air Jamaica's operation; fourth, analyse the environmental factors that should have been considered by Caribbean Airlines before making the decision to acquire Air Jamaica; fifth, carry out a comparative analysis of the various corporate-level strategies to identify the best option for the Government of Jamaica; sixth, propose reasons why Caribbean Airlines acquired Air Jamaica. Supplementary materials Teaching note.
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McCarthy, Nicholas, Mohammad Karzand, and Freddy Lecue. "Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9541–46. http://dx.doi.org/10.1609/aaai.v33i01.33019541.
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Flight delays impact airlines, airports and passengers. Delay prediction is crucial during the decision-making process for all players in commercial aviation, and in particular for airlines to meet their on-time performance objectives. Although many machine learning approaches have been experimented with, they fail in (i) predicting delays in minutes with low errors (less than 15 minutes), (ii) being applied to small carriers i.e., low cost companies characterized by a small amount of data. This work presents a Long Short-Term Memory (LSTM) approach to predicting flight delay, modeled as a sequence of flights across multiple airports for a particular aircraft throughout the day. We then suggest a transfer learning approach between heterogeneous feature spaces to train a prediction model for a given smaller airline using the data from another larger airline. Our approach is demonstrated to be robust and accurate for low cost airlines in Europe.
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Polydoropoulou, Amalia, Evangelia Chortatsiani, and Maria Kamargianni. "FLYER'S CORNER: SOME SIMPLE TRUTHS ABOUT SCHEDULED AIR TRAVEL." Journal of Air Transport Studies 3, no. 1 (January 1, 2012): 24–38. http://dx.doi.org/10.38008/jats.v3i1.94.
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Airlines in a state of crisis need to take steps to ensure revenues keep coming in. Repeat business and eventually loyalty is critical in that respect. This paper considers airline customer buying behaviour and preferences and post-flight attitudes with a view to identifying what makes the air travel product more appealing to customers. A structured web-based purposedesigned instrument was used to collect travel and traveller data and perceptions and the findings are prioritised using a consensus decision making approach. A major issue is identified and a two-step model is developed to demonstrate its significance for airline customers’ loyalty. Specific airline customer communications and other priorities and preferences are identified. In addition, it is found that airline customers have a number of complaints, many of which are not communicated to the airline, and it is demonstrated that these complaints impact on loyalty. It is therefore argued that airlines and researchers alike need to study customer complaints in relation to loyalty in greater detail. In view of both the economic situation in Greece and airline deregulation, this research is of significance to Greek airlines seeking to “tie” their customers and maintain market presence.
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Liasidou, Sotiroula. "Drafting a realistic tourism policy: the airlines’ strategic influence." Tourism Review 72, no. 1 (April 18, 2017): 28–44. http://dx.doi.org/10.1108/tr-10-2016-0044.
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Purpose In tourism literature, policy is synonymous with the involvement of the government in terms of planning, developing and organising the destination. In the case of the airline industry, policy is verified by a supranational body, the European Union, which sets outs guidelines for all member states. This paper aims to examine how the tourism policy and planning in Cyprus is formulated in an attempt to understand the strategic response of the airlines in the way they fulfil the aims of the tourism strategy. Design/methodology/approach The primary data are based on the results of 25 semi-structured, in-depth interviews with powerful and elite tourism and airline decision makers in Cyprus. Findings The results of the research suggest that the tourism policy should take into more consideration and develop strategic synergies and have tighter links with airlines companies in terms of planning and policy formation. This will enable the destination and the government to provide more realistic targets in tourism policies especially in islands. The airline network can both increase the number of arrival and diversify the demand all year round and offer more economic opportunities. Originality/value The study addresses two important aspects in terms of tourism development. The first is the policy initiative and the second is the role of the airlines’ for the purpose of tourism. Interrelation between tourism policies and airline developments are rather neglected in the tourism literature. Thus, this study highlights the point that in destination planning especially on islands, the airline decision-makers should participate in the policy making process and set more realistic targets. Additionally, airlines play an important role for destinations reaching numerical targets.
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Kumar, Ajith, Abeer Said Al-salmani, Isra Abdullah Al-rashdi, and Nibras Najeeb Al-zadjali. "Strategic Planning and Decision-Making Process During the Period of Covid -19 Crises in Salamair." IAR Journal of Business Management 3, no. 03 (June 30, 2022): 19–36. http://dx.doi.org/10.47310/iarjbm.2022.v03i03.003.
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Air transportation is an essential input for downstream sectors, as it permits various economic exercises through buying and selling goods mostly in services by way of the movement of natural individuals. The preparation of aviation expanded a major number of destinations is also helpful for tourism, especially global tourism. Air transport is distinguished by both complementarity and substitutability with other systems of transport. The differences in the way of behaving passengers following the COVID-19 crisis, travel imitations forced by the government and the following economic crisis have caused significant fall in demand for airline services. Controlling costs are probably to rise for both airlines and airports with reason of extra health and safety necessities (e.g. disinfection, PPE, temperature checks or viral tests) before they can be passed on to customers. Besides, the application of social distancing measures has forced a restriction in the passenger by up to 50% of the capacity. Direct aviation jobs (at airlines, airports, manufacturers, and air traffic management) drop down by 4.8 million, and aviation-supported jobs potentially fall off by 46 million to 41.7 million (-52.5%) (a 43% reduction compared with the preCOVID situation) these are the impact of covid -19 in the aviation industry as a whole.
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von Gruenigen, Stefan, Saskia Willemse, and Thomas Frei. "Economic Value of Meteorological Services to Switzerland’s Airlines: The Case of TAF at Zurich Airport." Weather, Climate, and Society 6, no. 2 (April 1, 2014): 264–72. http://dx.doi.org/10.1175/wcas-d-12-00042.1.
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AbstractJust as in other state-subsidized service areas, in the field of aviation weather there is political pressure as well as a growing economic need to substantiate or at least evaluate the economic benefits of meteorological information. The research presented in this paper has been conducted as part of a broad study concerning the economic benefits of the meteorological services in the Swiss transport sector. For the aviation sector, interviews revealed that meteorological information is a pivotal input factor in the decision-making process of airlines: In addition to security and safety purposes, airlines use meteorological information to optimize the economic efficiency of daily operations as well as for strategic decisions regarding flight routes and flight planning.In this paper a decision-making model is used to evaluate at least part of the economic benefits of the meteorological services to Switzerland’s domestic airlines by analyzing the use of terminal aerodrome forecasts (TAF) at Zurich Airport (Switzerland). By lowering the probability of costly wrong decisions, meteorological information generates direct economic benefits for the airlines. The total benefits for all domestic airlines at Zurich Airport amount to between 11 and 17 million Swiss francs per year [12 to 18 million USD; 1 U.S. dollars (USD) = 0.934 Swiss francs (CHF), average exchange rate 2012]. By extrapolating the results based on the number of flights, the total economic benefits of TAF to Switzerland’s domestic airlines at both main Swiss airports (Zurich and Geneva) add up to somewhere between 13 and 21 million Swiss francs per year (14 to 22 million USD).
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Liasidou, Sotiroula. "HOLIDAY TRIPS: CONVENIENCE, EFFICIENCY AND EFFECTIVENESS." Journal of Air Transport Studies 5, no. 2 (July 1, 2014): 84–101. http://dx.doi.org/10.38008/jats.v5i2.69.
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This paper aims to provide an understanding on the decision making process that guide tourism trips based on the various strategies developed by the airlines. The primary research data was analysed using factor analysis as a pertinent statistical tool for grouping variables in order to understand common consumption behaviours. The results of the study are indicative and suggest that tourists are classified in accordance with 'customer service' that include ground and in-flight service. Then, the second factor is 'price sensitive and Internet', which refers to dimensions such as the airline ticket and the frequency of trips. Finally, 'selection in travel behaviour' is associated with the choice based on the operation of the airlines, for instance the airports.
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Han, Heesup, Jongsik Yu, Bee-Lia Chua, Sanghyeop Lee, and Wansoo Kim. "Impact of core-product and service-encounter quality, attitude, image, trust and love on repurchase." International Journal of Contemporary Hospitality Management 31, no. 4 (April 8, 2019): 1588–608. http://dx.doi.org/10.1108/ijchm-05-2018-0376.
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Purpose The purpose of this study was to examine airline passengers’ repurchase decision-making process by developing a sturdy theoretical framework comprising in-flight core-product and service-encounter quality, brand attitude, image, trust and love. The authors also attempted to examine if such decision formation differs across full-service and low-cost airlines in South Korea. Design/methodology/approach A quantitative method was used to achieve research objectives. For assessment of the conceptual framework and test of research hypotheses, a structural equation modeling and test for metric invariance were used. Findings The results revealed that in-flight product and service-encounter quality significantly affected their subsequent variables, and their impact on intention was mediated by brand attitude, image, trust and love. In addition, brand image along with brand trust included the strongest influence on intention. Findings also indicated that the relationships among brand attitude, image, trust and love significantly differed between full-service and low-cost airlines. Practical implications Increasing the customer retention rate is a key component of airline business success. This study made an important contribution to advancing the existing knowledge on what factors induce airline customers’ decision to repurchase a particular airline product and how such factors are interrelated with each other within the proposed model. Originality/value This research was the first to explore that the relationship strength among brand image, brand attitude, brand trust and brand love are not equal between full-service and low-cost airline passenger groups.
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Yan, Jin. "How to promote COVID-19 pandemic prevention and control: A game theory analysis." Journal of Computational Methods in Sciences and Engineering 21, no. 6 (December 7, 2021): 2009–22. http://dx.doi.org/10.3233/jcm-215553.
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The outbreak of the COVID-19 (Corona Virus Disease 2019) has been becoming the most serious public health event in the world, threatening the health of hundreds of millions of people. The anti-pandemic policies mostly aim to prevent the spread at domestic and the import from abroad. In this paper, we discuss the issue of individual protection measures and customs quarantine strategy based on game theory. First, we develop a 2*2 Bayesian model and show that individual protection decisions depend on the size of excess payoff of taking protective measures (EPP). EPP is affected by the protection cost, the protective efficiency, the risk exposure and the information disclosure in this model. Then, we describe a repeated game between customs and airlines, and discuss the ideal strategy for customs to prevent the virus input. It comes out that a punishment mechanism for an airline is meaningful to prevent the import of the virus only if the discount rate of the airline is greater than the threshold. The threshold is positively correlated with the detection cost, and it is negatively correlated with the revenue of the airline and the testing reliability. We can also benefit from establishing a credit mechanism to give airlines that deviate from cooperation an opportunity to re-cooperate, especially for those in low risk areas. This study provides theoretical support for some government policies to prevent COVID-19, and underscores the significance of considering individual and organizational decision-making in health policy making.
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Tian, Wen, Qin Fang, Xuefang Zhou, and Fan Yang. "The Method of Trajectory Selection Based on Bayesian Game Model." Sustainability 14, no. 18 (September 14, 2022): 11491. http://dx.doi.org/10.3390/su141811491.
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To cope with the problem that most of the en-route spatial-temporal resource allocation in the collaborative trajectory options program (CTOP) only considers the air traffic control system command center (ATCSCC) while ignoring the needs of the airlines, which results in the loss of fairness, this study explores resource allocation methods oriented to airline trajectory preferences with optional trajectory and entry slots of flights over the flow constrained area (FCA) as the research object. Using game theory to analyze airline trajectory preference information and a Bayesian game model based on mixed strategies is constructed, the process of incomplete information game among airlines is studied. The equilibrium theory is used to solve the guarantee strategy of airline trajectory selection, which makes the airline trajectory selection strategy robust and provides a basis for the selection of schemes for ATCSCC to implement en-route network resource allocation under the CTOP. Experimental analysis was carried out to verify the feasibility of the method based on the actual operation data of high-altitude sectors of Shanghai. The results show that the solution obtained by the game can provide airlines with flight trajectory and entry slots over the FCA that are more in line with their actual operational needs and which provide data reference for the ATCSCC to select the final plan in multiple global Pareto optimal solutions in the subsequent process of the CTOP so as to better play the decision-making role of airlines in the CTOP while improving the fairness of en-route resource allocation.
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Strauch, Barry. "Automation and Decision Making—Lessons from the Cali Accident." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 41, no. 1 (October 1997): 195–99. http://dx.doi.org/10.1177/107118139704100145.
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The accident involving an American Airlines Boeing 757 that crashed on approach to Cali. Colombia, in December 1995, was examined to better understand the errors that the pilots committed. Their loss of situation awareness about their proximity to terrain resulted from several factors involving their use of the flight management system under high workload conditions. The implications of FMS use on our understanding of situation awareness and decision making are explored.
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Bertelli Fogaça, Lucas, Eder Henriqson, Guido Carim Junior, and Felipe Lando. "Airline Disruption Management: A Naturalistic Decision-Making Perspective in an Operational Control Centre." Journal of Cognitive Engineering and Decision Making 16, no. 1 (March 2022): 3–28. http://dx.doi.org/10.1177/15553434211061024.
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Operations Control Centres (OCCs) are critical structures used by airlines to oversee the execution of all planned flights, managing punctuality, regularity and customer support. In this study, we investigated the decision-making during flight disruptions inside an OCC from the naturalistic decision-making perspective. We conducted a mini-ethnography case study in a major South American airline, focussing on how functions critical to the flight disruption management cope with variability. Data collection included document analyses, field notes, direct observations and interviews. The functional description of work-as-done revealed how the OCC constantly and actively looks for signs of disruption while monitoring the normal operation and rebalancing resources. The decision-making process is distributed and decentralised across multiple functions, where experts from each function rely on a repertoire of strategies to deploy innovative solutions to dynamic scenarios. Five different mechanisms were identified that converge functions to disarm potential disruptions before they compromise the flight network, and continuously create and reinforce system buffers.
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Mohd Johan, Mohd Remie, Nusyamilah Annuar, Jechonias Sushant Joseph, and Sonika Kalai Kumar. "Satisfaction Determinants of Airlines Industry in Malaysia." Jurnal Intelek 15, no. 2 (July 28, 2020): 87–100. http://dx.doi.org/10.24191/ji.v15i2.316.
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This study provides detailed information on customer satisfaction and decision making on choosing a full-service airline in Malaysia based on the number of complaints lodged to MAVCOM. To ensure the study was done with zero-errors, the information stated in this investigation were acquired from a targeted audience which has travelled for leisure purposes only to both domestic and international destinations. This study gives the airlines and edge to refine their customer service and to scrutinize their operations to avoid giving a chance to passenger to choose an alternate airline in Malaysia to suit their itinerary due to the failure in rectifying the inability in providing convenience towards their customers. The results found that service quality, price, reliability (timeliness) and customer relationship management has a significant and positive contribution towards passenger selection of a full-service carrier in Malaysia.
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Wu, Chong, Xin Wang, Xinying Zhang, Yongli Li, and Brad O’Brien. "CHINESE AIRLINE COMPETITIVENESS EVALUATION BASED ON EXTENDED BINARY RELATIVE EVALUATION(BRE) MODEL." Journal of Business Economics and Management 14, Supplement_1 (December 24, 2013): S227—S256. http://dx.doi.org/10.3846/16111699.2012.721391.
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In order to eliminate the impact of the sample's objective merits on the evaluation results, this research built a two-stage model of Chinese airline competitiveness evaluation to reflect the subjective management and performance. In the first stage, Analytic Hierarchy Process (AHP) and Factor Analysis (FA) models were used to analyze the data from 2008 to 2009. In the second stage, two kinds of comprehensive evaluation indexes in 2008 were taken as the reference index set, and two kinds of comprehensive evaluation indexes in 2009 as the current index set. The four sets of data were calculated with the Group Decision-making Model Based on Data Envelopment Analysis (DEA) with Restraint Cone. This paper has (1) enriched the theory of airline competitiveness,(2) built a more scientific and comprehensive evaluation index system of airlines’ competitiveness, (3) constructed a competitiveness evaluation model based on BRE, and (4) conducted an empirical study of the improved model based on the 2008 and 2009 data from 15 Chinese airlines. The ranking results of the proposed method, theory and model coincide with the real conditions of the airline market demonstrating that our evaluation of airline competitiveness based on BRE is accurate, reliable and objective.
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Suk, Minho, and Wonjoon Kim. "COVID-19 and the airline industry: crisis management and resilience." Tourism Review 76, no. 4 (July 5, 2021): 984–98. http://dx.doi.org/10.1108/tr-07-2020-0348.
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Purpose The COVID-19 pandemic has triggered a time of crisis and uncertainty for the air transportation industry. The gloomy prospects for the industry have stretched business resilience to a critical point. The crisis has caused damage and shock that the aviation industry has never endured before. This paper aims to provide a comprehensive understanding of both internally and externally generated airline response strategies by examining business practices for crisis management. Design/methodology/approach This study screened research papers and economic reports from authoritative organizations including the International Air Transport Association, International Civil Aviation Organization, World Health Organization and United Nations World Tourism Organization from December 2019 (the month in which the COVID-19 outbreak occurred) to March 2021 (the most recent month at present). The authors also integrated publicly recognized news articles to cover a wide range of business practices in the airline industry. The authors conducted thematic analysis by filtering news articles and economic reports that mentioned the keywords “COVID-19,” “pandemic,” “CoV-2,” “coronavirus” and “corona.” The authors coded the airlines’ response actions along the two-axis matrix (time and magnitude) and generated insights in a timely manner. Findings Major airlines have modified decision-making in relation to the exponential spread of the virus, which is in direct proportion to the deterioration level in the airline industry. When the impact was low in the early stage, major airlines maintained their status quo. Before long, the magnitude of the destruction became high, which made airlines implement capacity adjustments and request government relief measures. As industrial deterioration deepens, airlines keep calling for state aid packages and have changed their focus to the cargo transportation of high-demand commodities and pharmaceutical supplies. Lastly, industrial adversity and uncertainty have made them defer aggressive takeover opportunities. Originality/value Several researchers have investigated the impacts of the COVID-19 on the airline industry. However, there remains a dearth of scholarship on the hampered business activities and crisis management of the airline industry. In the absence of sufficient response strategies against the COVID-19 panic, this paper is to provide a comprehensive understanding of the major airlines’ response strategies to the COVID-19 pandemic. In addition, this paper yields an opportunity for on-site management to review how major global airlines have responded to the crisis and find managerial insights to restore their business sustainability.
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Plotnikov, Nikolai. "Civil Aviation Flight Safety: Pilot Properties Soft Computing." WUT Journal of Transportation Engineering 133 (June 1, 2021): 5–14. http://dx.doi.org/10.5604/01.3001.0015.5231.
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The commercial competition leads to aviation accidents. It forces airlines to reduce the cost of purchasing, leasing, and maintenance of aircraft. The air carrier saves on professional training of personnel, on an arbitrary increase in the workload standards, on the use of flight crews with minimal and untenable experience in chronic fatigue conditions. Theory and methods of the characteristics of specialists remain uncertain. Statistical data and expertise may be piecewise-defined, inaccurate, and inconsistent. To calculate the dependability of flight crews based on workload and experience, it is necessary to establish indicators and values of acceptable accuracy using fuzzy measures. It is proposed soft computing, statistical and expert methods for calculating the properties of a person and social groups in the management of dangerous professions. This makes it possible to calculate the dependability of the pilot properties with an assessment of flight safety risk levels for making management decisions. The results of the work are new standards for the workload of flight crews recommended for civil aviation. Results are obtained in qualitative methods for calculating efficiency, security, and risk states in the management of organizational objects as airlines. We obtained indicators for air transport risk management standards and decision-making tools. Calculated indicators of pilot dependability values are a model for developing the airline's strategy, for quantitative assessments of flight specialists, standardizing professional activities, and managing training costs.
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Liu, Jun-qiang, Ma-lan Zhang, Peng-chao Chen, Ji-wei Xie, and Hong-fu Zuo. "An Integrative Approach with Sequential Game to Real-Time Gate Assignment under CDM Mechanism." Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/143501.
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This paper focuses on real-time airport gate assignment problem when small-scale or medium- to large-scale flight delays occur. Taking into account the collaborative decision making (CDM) of the airlines and the airport, as well as the interests of multiagent (airlines, airports, and passengers), especially those influenced by flight banks, slot assignment and gate assignment are integrated into mixed set programming (MSP), and a real-time gate assignment model is built and solved through MSP coupled with sequential game. By this approach, the delay costs of multiagent can be minimized simultaneously; the fuel consumption of each airline can be basically equalized; the computation time can be significantly saved by sequential game; most importantly, the collaboration of the airlines and the airport is achieved so that the transferring cost caused by the delay of flight banks can be decreased as much as possible. A case study on small-scale flight delays verifies that the proposed approach is economical, robust, timesaving, and collaborative. A comparison of the traditional staged method and the proposed approach under medium- to large-scale flight delays proves that the integrative method is much more economical and timesaving than the traditional staged method.
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Sieberichs, Sebastian, and Annette Kluge. "Why Learning Opportunities From Aviation Incidents Are Lacking." Aviation Psychology and Applied Human Factors 11, no. 1 (March 2021): 33–47. http://dx.doi.org/10.1027/2192-0923/a000204.
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Abstract. The rising trend of fatal aircraft accidents since 2018 suggests a limited safety capability of airlines in terms of learning from incidents (LFI). We evaluated 2,208 voluntary incident reports from commercial European pilots using qualitatively driven mixed methods to investigate LFI “bottlenecks.” The results showed that the report frequency depends on the type of pilots’ active failure causing the incident (performance‐based errors, judgment and decision‐making errors and violations). Learning opportunities were lacking, especially for incidents caused by pilots’ inadequate decision-making. Confidential reporting has positive effects on LFI, as these reports contained more information about latent failures. Furthermore, we identified several latent failures that are risk factors for certain unsafe acts. Our results may support airlines in various LFI activities.
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Pereira, Bruno, Gui Lohmann, and Luke Houghton. "The Role of Collaboration in Innovation and Value Creation in the Aviation Industry." Journal of Creating Value 7, no. 1 (May 2021): 44–59. http://dx.doi.org/10.1177/23949643211010588.
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Collaboration plays a critical role in fostering innovation and value creation in the aviation sector. However, how factors and connections relate to the achievement of innovative outcomes in aviation require further investigation. This study investigates the key factors that create a conceptual framework by conducting a literature review and an archival analysis of news articles. The model proposed involves factors such as strategic decision-making; networking and partner choice; cultural context, values, behaviour and compatibilities; collaboration configuration; issues and risks shared; skills, capacities and experience; infrastructure and resources available; engagement activities; knowledge transfer, absorption and appropriation; collaboration management; communication flows; external environment and demand; and expectations and outcomes. Promising collaborations are also indicated in areas where the framework could be adopted to increase partnerships and outcomes. Also, we highlight best practice examples from leading organizations, such as International Airlines Group (IAG), Emirates Airline, Singapore Airlines, Boeing and JetBlue, to provide insights into existing collaborations that have led to innovation and value creation in this sector.
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Ismail, Safaa, M. Anter, and Moustafa Abdel Fattah. "The Impact of Demographic Variables on Decision Making Process in EGYPTAIR Airlines." Minia Journal of Tourism and Hospitality Research MJTHR 15, no. 1 (June 1, 2023): 72–90. http://dx.doi.org/10.21608/mjthr.2022.171200.1073.
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Neuschel, Robert P., and Dawn M. Russell. "Customer Driven Marketing in the Transportation/Logistics Industry." International Journal of Logistics Management 9, no. 2 (July 1, 1998): 99–105. http://dx.doi.org/10.1108/09574099810805799.
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Since deregulation of the airlines in 1978, and rail and truck in 1980, the transportation/logistics Industry has undergone significant changes. The trend has been one of improved efficiency and extreme price and cost pressures, requiring more of a customer driven marketing approach on the part of transportation/logistics service providers. This article identifies some of the more significant changes that have affected the industry and offers considerations for decision making to those who are tasked with making critical marketing decisions. Finally, a vision of the future of the transportation/logistics industry is presented.
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Soll, Henning, Solveig Proske, Gesine Hofinger, and Gunnar Steinhardt. "Decision-Making Tools for Aeronautical Teams: FOR-DEC and Beyond." Aviation Psychology and Applied Human Factors 6, no. 2 (September 2016): 101–12. http://dx.doi.org/10.1027/2192-0923/a000099.
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Abstract. Many case studies show that unstructured decision-making processes in teams are contributing factors to accidents. In situations without any preconfigured solutions, airlines have developed decision models. In our article, we give an overview and comparative analysis of different models. We discuss FOR-DEC, developed by Lufthansa and the German Aerospace Center. Findings from an explorative study on pilots’ experiences with FOR-DEC and from a workshop with pilots and experts from non-aviation high-risk domains are reported. The model is useful for structured decision-making in complex situations when there is enough time. Moreover, some extensions to FOR-DEC could be beneficial, for example, the integration of expert knowledge into the decision process and the explicit integration of the team in the decision-making process. Results give advice for the useful implementation, application, and training of decision-making tools using the example of FOR-DEC.
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Mou, Deyi, and Wanlin Zhao. "An Irregular Flight Scheduling Model and Algorithm under the Uncertainty Theory." Journal of Applied Mathematics 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/361926.
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The flight scheduling is a real-time optimization problem. Whenever the schedule is disrupted, it will not only cause inconvenience to passenger, but also bring about a large amount of operational losses to airlines. Especially in case an irregular flight happens, the event is unanticipated frequently. In order to obtain an optimal policy in airline operations, this paper presents a model in which the total delay minutes of passengers are considered as the optimization objective through reassigning fleets in response to the irregular flights and which takes into account available resources and the estimated cost of airlines. Owing to the uncertainty of the problem and insufficient data in the decision-making procedure, the traditional modeling tool (probability theory) is abandoned, the uncertainty theory is applied to address the issues, and an uncertain programming model is developed with the chance constraint. This paper also constructs a solution method to solve the model based on the classical Hungarian algorithm under uncertain conditions. Numerical example illustrates that the model and its algorithm are feasible to deal with the issue of irregular flight recovery.
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Zu, Enhou, Shao-Yu Liu, Bi-Min Hsu, Yu-Cheng Wang, and Edwin M. Lau. "An Analysis of the Success Factors for Passenger Boarding Enthusiasm for Low-Cost Regional Airline Routes." Sustainability 12, no. 16 (August 14, 2020): 6600. http://dx.doi.org/10.3390/su12166600.
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Airports are important air transportation facilities, providing cargo transportation, aircraft takeoff and landing, and passenger services. Trade liberalization and globalization along with shifting economies and trading focuses have led to the rapid growth of airline and cargo transportation in Asia-Pacific regions. Therefore, Asian countries are constantly expanding and improving their airport facilities. Thus, improving and measuring airline service quality has attracted significant research attention in recent years. The Chinese Government has also actively promoted low-cost tourism, although competition in low-cost carrier markets was bound to be fierce. This not only promoted tourism industries but also attracted many foreign visitors to taking low-cost carriers to China for sightseeing. With international oil prices and regional economy issues, full-service carriers face considerable operational pressure on cost and competition. This study used the fuzzy delphi and decision making trial and evaluation laboratory methods to explore and analyze key factors for passengers choosing low-cost airlines. We considered passengers using U Airlines to travel from Shanghai to Taiwan (Taoyuan, Kaohsiung Far) and investigated service quality, low-price strategies, switching costs, and boarding willingness factors. We found that boarding willingness and service quality were strongly relevant to passenger satisfaction. Service quality should be prioritized, followed by switching cost, to enhance passenger boarding willingness. Low-cost regional airlines need to prioritize improving service quality empathy and service quality responsiveness with limited resources. Performance indicators such as willingness, service quality assurance, and service quality reliability showed significant benefits for overall service performance and passenger boarding willingness.
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Sulphey M.M. "How Icarus Paradox Doomed Kingfisher Airlines." Vision: The Journal of Business Perspective 24, no. 1 (February 28, 2020): 118–24. http://dx.doi.org/10.1177/0972262919897646.
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Icarus, a Greek mythical character, is fabled to have plunged to his death in the Aegean Sea due to his own overconfidence and follies. Now management literature has adopted this fable and has extensively used to denote paradoxical decision-making in business. The present case analyses the rise and fall of the Indian air company Kingfisher Airlines Ltd (KFA) and its promoter the flamboyant Mr Vijay Mallya. The author draws parallel between Icarus and KFA, and presents how both met the same fate due to misplaced overconfidence. A few suggestions for organizations to tide over Icarus paradox are also presented.
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Tang, Ching-Hui, and Ping-Hsuan Hsieh. "A Hybrid Framework for Real-Time Dispatching of Airline Unit Load Devices under Demand Variations." Journal of Advanced Transportation 2022 (August 8, 2022): 1–20. http://dx.doi.org/10.1155/2022/9009364.
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This study is devoted to a new research topic in real-time airline operations, the redispatching of unit load devices (ULDs) under demand variations. We develop a new hybrid framework to solve the problem of ULD redispatch following the time-sequence decision-making required by airlines. The hybrid framework is developed by integrating techniques including the probability distribution technique to simulate different types of operational demand, the adjustable number of stages which is needed to meet the requirements of a decision-making process following a time sequence and the time pressure characteristic of real operations, and the scenario tree and probability rule approaches which are aimed and representing all possible demand scenarios for a stage, while the network flow technique is applied to represent the movement and location of ULDs at each airport over time and is used for the development of the associated mathematical model and the simulation. We performed a simulation of 2,000 cases based on different operational days and types of operational demand. The results show that this hybrid framework is able to achieve stability and also a small variability of both ULD operating costs and solution times, which could allow the airline to save on ULD operating costs, under demand variations in real-time operations.
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Liu, Jia, and Asim Ansari. "Understanding Consumer Dynamic Decision Making Under Competing Loyalty Programs." Journal of Marketing Research 57, no. 3 (April 10, 2020): 422–44. http://dx.doi.org/10.1177/0022243720911894.
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The authors develop an incentive-aligned experimental paradigm to study how consumer purchase dynamics are affected by the interplay between competing firms’ loyalty programs and their pricing and promotional strategies. In this experiment, participants made sequential choices between two competing airlines in a stylized frequent traveler task for which an optimal dynamic decision policy can be numerically computed. The authors find that, on average, participants are able to partially realize the long-term benefits from loyalty programs, though most are sensitive to price. They also find that participants’ preferences and levels of bounded rationality depend on the nature of the competitive environment, the particular state of each decision scenario, and the type of optimal action. Accordingly, the authors use an approximate dynamic programming model to incorporate boundedly rational decision making. The model classifies participants into five segments that exhibit variation in their performance and decision strategies. Importantly, they find that participants are able to adapt their decision strategies to the environment they face, and thus the overall market outcome and the performance of each firm are influenced by both the competitive environment and the assumption on the extent of consumer optimality.
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Dewi, NGAS. "ANALISIS FAKTOR WISATAWAN NUSANTARA MEMBELI TIKET PESAWAT KE BALI." Jurnal IPTA 8, no. 1 (July 16, 2020): 39. http://dx.doi.org/10.24843/ipta.2020.v08.i01.p06.
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The increasing number of airlines that provide flight routes to Bali, causes tourists to consider various factors before making the purchase of an airline ticket that would be used to go to Bali. This study aims to determine the factors that influence the decision of domestic tourists to purchase airline tickets to Bali with a quantitative descriptive approach. Data collected through observation, questionnaire distribution, and literature study. The sample in this study amounted to 100 tourists who were obtained accidentally. With the help of factor analysis using SPSS version 17, out of 26 indicators, six major factors were formed that influenced the behavior of domestic tourists in purchasing airline tickets to Bali, including: psychological factor, social factor, cultural factor, marketing mix factor, employment factor, and personal factor. The dominant factor that has influenced the behavior of domestic tourists in purchasing tickets is psychological factors with an eigenvalue of 14.135 and a variance percentage of 42.832%. As for forming psychological factors, airline image factors got the biggest loading factor which is a number of 0.881.
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McCabe, Donald L. "Buying Group Structure: Constriction at the Top." Journal of Marketing 51, no. 4 (October 1987): 89–98. http://dx.doi.org/10.1177/002224298705100408.
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The author evaluates opposing views of the relation between environmental uncertainty and buying group structure. In an empirical study of buying group structures among airlines and producers of corrugated shipping containers, support is found for the hypothesis that high levels of uncertainty lead to a constriction of decision-making authority.
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Liao, Huchang, and Zeshui Xu. "Satisfaction Degree Based Interactive Decision Making under Hesitant Fuzzy Environment with Incomplete Weights." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 22, no. 04 (August 2014): 553–72. http://dx.doi.org/10.1142/s0218488514500275.
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Multi-criteria decision making with hesitant fuzzy information is a new research topic since the hesitant fuzzy set was firstly proposed. This paper investigates a multi-criteria decision making problem where the weight information is partially known. We firstly propose the hesitant fuzzy positive ideal solution and the hesitant fuzzy negative ideal solution. Motivated by the TOPSIS (Technique for Order Preference by Similarity to an ideal Solution) method, we definite the satisfaction degree of an alternative, based on which several optimization models are derived to determinate the weights. Subsequently, in order to make a more reasonable decision, we introduce an interactive method based on some optimization models for multi-criteria decision making problems with hesitant fuzzy information. Finally, a practical example on evaluating the service quality of airlines is provided to illustrate our models and method.
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Wei, Li Feng. "Design and Implementation of Airline Customer Segmentation System Based on Ant Colony Clustering Algorithm." Advanced Materials Research 433-440 (January 2012): 3357–61. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3357.
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Segmentation based on customer value and needs can better guide marketing decision-making of airlines as well as better understand needs of high-value passengers. To address customer segmentation in Customer Relationship Management (CRM), the paper proposed and designed airline customer segmentation system structure based on ant colony clustering. The key ant colony clustering algorithm was also designed and implemented. The ant colony clustering algorithm mainly used adaptively adjusted group similarity to perform clustering and access to initial clustering result. Then all data representation points and abnormal data were inputted into lattice plane scattered randomly. Ant colony algorithm was used for clustering once again and corresponding class label was used to delete abnormal values and obtain complete clusters. Data test example based on ant colony clustering customer analysis platform illustrated its feasibility and effectiveness
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Gujarathi, Mahendra R., and Ralph J. McQuade. "Sun Airlines, Inc.: Financial Reporting of Point and Loyalty Programs." Issues in Accounting Education 18, no. 4 (November 1, 2003): 359–68. http://dx.doi.org/10.2308/iace.2003.18.4.359.
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This case presents a multifaceted, decision-oriented context to assess the appropriateness of accounting policy for ensuring a faithful representation of underlying economic reality. It will enhance your: (1) appreciation for the role of judgment in accounting decision making, (2) identification of the appropriate sources of generally accepted accounting principles (GAAP) and their authoritative status, (3) understanding and application of the technical literature, and (4) evaluation of accounting policy in the context of an entity's business strategy and potential reactions of capital market participants. The case serves as a basis for developing the functional, personal, and broad business perspective competencies identified as desirable by the AICPA (1999) for entry-level professionals.
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Mukhopadhyay, Somnath, Subhashish Samaddar, and Glenn Colville. "Improving Revenue Management Decision Making for Airlines by Evaluating Analyst-Adjusted Passenger Demand Forecasts." Decision Sciences 38, no. 2 (May 2007): 309–27. http://dx.doi.org/10.1111/j.1540-5915.2007.00160.x.
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Shen, Peng, and Tu. "Multi-Criteria Decision-Making Techniques for Solving the Airport Ground Handling Service Equipment Vendor Selection Problem." Sustainability 11, no. 12 (June 24, 2019): 3466. http://dx.doi.org/10.3390/su11123466.
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Appropriate airport ground handling service (AGHS) equipment vendor selection (AGHSEVS) can prevent aircraft damage and delays in airlines schedules, and ensure reliable and high-quality ground handling service. Previous research has seldom integrated multi-criteria decision-making techniques with goal programming to solve the AGHSEVS problem. This paper describes a new system evaluation model for AGHSEVS by considering both qualitative and quantitative methods. We compare the fuzzy TOPSIS method based on fuzzy weighted average left and right score methods with multi-choice and multi-aspiration goal programming approach of an AGHS company in Taiwan. These study results can help airport ground handling service company managers make optimal decisions for AGHSEVS problems. We hope the practicability of the comparable model with slight modifications of real situation data can be used in other AGHS companies.
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B. Casado-Díaz, Ana, Juan L. Nicolau, Felipe Ruiz-Moreno, and Ricardo Sellers. "Industry-specific effect of CSR initiatives: hotels and airlines." Kybernetes 43, no. 3/4 (April 1, 2014): 547–64. http://dx.doi.org/10.1108/k-12-2013-0271.
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Purpose – This study aims to examine the relationships between a firm's corporate social responsibility (CSR) activities and its performance and risk. The authors hypothesize that industry-level effects are highly determinant of the sign and magnitude of these relationships to establish a ranking of industries to identify the position of the most prominent tourism-related industries: hotels and airlines. Based on the cybernetic model of decision making and the heuristics thereof, shareholders base their investment decisions derived from CSR announcements on the idea that the industries behave differently; their fixed costs being a relevant factor. Design/methodology/approach – The authors estimate the industry-specific effects of CSR initiatives on firms' performance and risk using a sample of 583 announcements from the Spanish Stock Market. Findings – The results show that while CSR announcements have a positive effect on performance when the authors do not account for industry-specific factors, once the authors incorporate these factors into the analysis, the authors find that firm performance and risk vary quite substantially as a function of the industry to which the firm belongs. Interestingly, while the hotel industry presents an average behavior (standing at 9th position in returns, 15th in terms of risk, and 8th according to the ratio returns/volatility), the airline industry presents the worst situation of all industries: last in performance and last in risk. Practical implications – The results help managers assess their decisions and allocate CSR resources optimally. Originality/value – This article is the first attempt to empirically test and comprehensively detect the different relationships between CSR and firm performance across industries.
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Wang, Zehong, Xiaolong Han, Yanru Chen, Xiaotong Ye, Keli Hu, and Donghua Yu. "Prediction of Willingness to Pay for Airline Seat Selection Based on Improved Ensemble Learning." Aerospace 9, no. 2 (January 19, 2022): 47. http://dx.doi.org/10.3390/aerospace9020047.
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Airlines have launched various ancillary services to meet their passengers’ requirements and to increase their revenue. Ancillary revenue from seat selection is an important source of revenue for airlines and is a common type of advertisement. However, advertisements are generally delivered to all customers, including a significant proportion of people who do not wish to pay for seat selection. Random advertisements may thus decrease the amount of profit generated since users will tire of useless advertising, leading to a decrease in user stickiness. To solve this problem, we propose a Bagging in Certain Ratio Light Gradient Boosting Machine (BCR-LightGBM) to predict the willingness of passengers to pay to choose their seats. The experimental results show that the proposed model outperforms all 12 comparison models in terms of the area under the receiver operating characteristic curve (ROC-AUC) and F1-score. Furthermore, we studied two typical samples to demonstrate the decision-making phase of a decision tree in BCR-LightGBM and applied the Shapley additive explanation (SHAP) model to analyse the important influencing factors to further enhance the interpretability. We conclude that the customer’s values, the ticket fare, and the length of the trip are three factors that airlines should consider in their seat selection service.