• Asian Journal of Business Environment
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• 제6권3호
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• pp.5-10
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• 2016

Purpose - The purpose of this study is to explore and examine the effects of airline deregulation in the United States and South Korea as a comparative analysis. The study focuses on identifying the purposes of airline deregulation and analyzing its benefits and consequences. Research Design, Data, and Methodology - This is a case study, a comparative method, which analyzes and measures the benefits and disadvantages of airline deregulation in both the United States and South Korea. Results - Airline deregulation removed unnecessary and ineffective government controls, resulting in more efficient airline industries in both countries. However, the negative consequences are much greater than the benefits of airline deregulation. Conclusion - The purpose of airline deregulation was to foster an efficient and effective environment in airline industry, and clear evidence of the positive intended effects of airline deregulation e.g., increasing domestic competition, decreasing airfare, increasing productivity, and removing unnecessary government regulations in the beginning of airline deregulation. However, the current state of airline industry in both countries depicts only the consequences of airline deregulation.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2003년도 추계학술대회 및 정기총회
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• pp.239-242
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• 2003

The supply chain of the airline industry includes multiple airline companies, travel agencies and customers. Various air fares are offered by travel agencies. The travel agencies grant deposit to the airline company in advance and preoccupy seats with deep discount, which called group-discount-ticket. The group-discount-ticket offers the lowest air fare but it does not base on real demand. So the information flow generated by group-discount-ticket can cause the information distortion in airline supply chain. This study analyzes the bullwhip effect in the airline industry. A mathematical model is formulated and managerial suggestions is provided.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.865-874
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• 2020

In Vietnam, the airline service sector plays an important economic role. However, it is a complicated industry that is open to failures. Negative emotions are an essential variable for the airline service industry because they can trigger a variety of coping behaviors that affect consumer loyalty as well as the image and reputation of the airline service providers. However, negative emotions and the accompanying coping behaviors are often investigated partially or as separate issues, thus leading to an incomplete understanding. This study is conducted to fill this gap by proposing and testing the causal relationship between negative emotions (anger, frustration, regret) and coping behaviors (complaint, negative word-of-mouth (WOM), and switching intention) in the context of the airline industry. Eight research hypotheses are tested. Using the partial least squares structural equation modeling (PLS-SEM) on a sample of 587 passengers in Vietnam, the empirical results show that anger and frustration influence complaints, negative WOM, and switching intention, while regret leads to switching intention and negative WOM. Thus, the research has important academic and practical implications. The empirical outcome could be of major importance for airline companies in planning to provide new services and achieve high performance in the long run.

• 아태비즈니스연구
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• 제1권2호
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• pp.23-46
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• 2010

Despite the explosive growth of no-frill airline industry, very little is known about how consumers make purchase decision in such settings. Today's airline industry requires choice models consistent with consumers' true preference sets. This study used conjoint analysis to identify these ideal choice models. 38 percent of the subjects were found to use compensatory and 62 percent non-compensatory models. Our findings suggest a need to base choice-making promotions on ideal choice models if the promotion is to lead consumers to decisions consistent with true preferences.

• 유통과학연구
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• 제22권9호
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• pp.107-117
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• 2024

Purpose: This research aims to contribute to the search for strategies on innovation in chatbot services in airline distribution industry. Personal and systemic characteristics of chatbot were derived together. The extended technology acceptance model theory was applied. The effects of perceived ease of use, usefulness, and intention to use chatbot from the user's perspective were empirically analyzed. Research design, data and methodology: Through an online survey, 309 people who have experience using chatbot services in airline distribution industry responded. AMOS 18.0 was used to analyze the data. Results: The hypothesis that personal characteristics will positively influence perceived ease and perceived usefulness was tested. Self-efficacy and user's innovativeness were shown have a significant effect on both perceived ease and perceived usefulness. System characteristics present a positive effect on perceived ease and perceived usefulness was tested. Consistency and familiarity were found to affect perceived ease and perceived usefulness. Perceived ease of use and perceived usefulness show a positive effect on intention to continue using chatbot service. Conclusions: When building an airline chatbot service in airline distribution industry, it is necessary to consider systematic characteristics, ease of use, and usability. It provided practical implications in that it have a significant impact on users' intention to use.

• 한국컴퓨터정보학회논문지
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• 제21권3호
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• pp.113-121
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• 2016

In this study, the basic concept of service profit chain was introduced based on the existing studies related to service quality of airline ground crew to find out how are customer satisfaction influenced by factors related to employees who provide service quality to the customers, such as internal service quality and job satisfaction. The data of this study was collected by questionnaire and based on airline ground crews and Gimpo international airport users. A total of 190 of airline ground crew and 273 of passengers validity sample was analyzed a frequency analysis, reliability analysis, exploratory factor analysis and correlation coefficient analysis from SPSS 21, a hypothesis through out confirmatory factor analysis and structural equation modeling from AMOS 7.0. As a result of the analyses, it was found that the models was appropriate in proving the hypotheses on interrelationships among internal service quality, job satisfaction and customer satisfaction. Overall, finding of this study enhance the theoretical progress on the experiential concept in walking tour and offer important implication for airline industry marketers.

• 경영과학
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• 제29권3호
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• pp.183-192
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• 2012

For the past several decades, personnel scheduling and rostering problem has been one of the most popular research topics in optimization area. Among the numerous applications, airline (aviation) industry has been given most attention due to the economic scale and impact. Most of the literatures about the staff scheduling problem in airline industry are dealing with the air crew, pilots and flight attendances, and the rest of the literatures are about the ground staff, by whom cleaning, maintenance, fueling of aircraft and handling luggage are done from landing to taking off. None of the literatures found by the authors are dealing with the airline ground crew. In this paper roster of airline ground crew, who is responsible for issuing boarding pass, checking baggage, etc, is introduced, formulated and solved using CPLEX. Some expressions of the mathematical formulations, which are not suitable input format of the CPLEX, were transformed. Numerical examples are presented for the validation of proposed scheduling system.

• 한국콘텐츠학회논문지
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• 제7권9호
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• pp.194-203
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• 2007

본 연구는 항공기를 이용한 승객들이 지각하는 항공사 서비스 품질이 항공사 이미지 형성에 어떠한 영향을 주고 궁극적으로 승객의 향후 행동의도에 미치는 영향이 무엇인지를 알아보는데 목적이 있다. 이를 위하여 대한항공, 아시아나 항공, 외국 항공사를 이용한 경험이 있는 한국 국제선 승객으로부터 수집한 데이터를 개발된 구조방정식 모형에 적용하여 분석하였다. 분석 결과 기내서비스와 고객 및 운항관련 서비스가 항공사 이미지 형성에 긍정적인 영향을 미치는 것으로 나타났다. 또한 항공사 이미지는 한국 국제선 승객의 향후 행동의도에 직접적인 영향을 미치는 것으로 분석되었다.

• 한국산업정보학회논문지
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• 제19권2호
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• pp.137-145
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• 2014

본 연구는 SERVPERF를 사용하여 항공산업의 품질과 만족 및 신뢰, 재구매 의도간의 영향관계를 파악하고, 항공사 유형과 전체모형의 각 경로에서 조절적인 효과를 조사하였다. 이러한 실증연구를 통해 풀 서비스 항공사의 경쟁력을 강화와 저가항공사의 시장 확대 및 지속적인 고객 관계의 유지를 강화 할 수 있는 정보화 전략방안의 토대를 제시하고자 한다. 본 실증연구를 위해 207부의 유효설문지를 사용하였다. 가설을 검증하기 위하여 SPSS 20.0과 AMOS 20.0 s/w를 사용하였다. 본 연구를 통하여 항공산업의 품질에 대한 기존의 연구와 차별화 되는 항공서비스 유형이 전체 연구모형 간에 어떤 효과가 있는지 실증적으로 분석 하였다. 본 연구를 통하여 항공산업의 서비스 품질정보에 대한 전략적 방안을 제시할 수 았을 것으로 본다.

• Journal of Smart Tourism
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• 제1권1호
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• pp.53-64
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• 2021

Upselling is often a critical factor in revenue generation for businesses in the tourism and travel industry. Utilizing passenger data from a major international airline company, we develop the PAX (Passenger, Airline, eXternal) model to predict passengers that are most likely to accept an upgrade offer from economy to premium. Formulating the problem as an extremely unbalanced, cost-sensitive, supervised binary classification, we predict if a customer will take an upgrade offer. We use a feature vector created from the historical data of 3 million passenger records from 2017 to 2019, in which passengers received approximately 635,000 upgrade offers worth more than $422,000,000 U.S. dollars. The model has an F1-score of 0.75, outperforming the airline's current rule-based approach. Findings have several practical applications, including identifying promising customers for upselling and minimizing the number of indiscriminate emails sent to customers. Accurately identifying the few customers who will react positively to upgrade offers is of paramount importance given the airline 'industry's razor-thin margins. Research results have significant real-world impacts because there is the potential to improve targeted upselling to customers in the airline and related industries.